P001 Effect of prolonged emergency department length of stay on process of care measures of critically ill patients
J Saoraya, ACKB Amaral, F Angriman
Sunnybrook Health Sciences Centre, Department of Critical Care Medicine, Toronto, Canada
Process outcomes | Long ED LOS; N = 1462 | Acceptable ED LOS; N = 5610 | Adjusted odds ratio (95% CI) |
---|---|---|---|
Low tidal volume ventilation | 174/281 (61.9%) | 643/979 (65.7%) | 0.84 (0.62–1.13) |
Spontaneous breathing trial among those eligible | 245/575 (42.6%) | 950/2493 (38.1%) | 1.09 (0.90–1.33) |
Extubation among those eligible | 116/179 (64.8%) | 480/685 (70.1%) | 0.76 (0.52–1.11) |
DVT prophylaxis among those eligible | 751/968 (77.6%) | 2353/3225 (73%) | 1.15 (0.96–1.37) |
Continuous sedation | 723/1186 (61%) | 3002/4609 (65.1%) | 0.92 (0.80–1.06) |
Physical restraints | 503/1184 (42.5%) | 1979/4590 (43.1%) | 1.08 (0.93–1.25) |
P002 Development of intensive medicine in the emergency department: 1 year of experience in a tertiary referral hospital
AR Leite Cruz, C Pires, F Faria, L Bento
Centro Hospitalar Universitário Lisboa Central, Intensive Care Department, Lisboa, Portugal
P003 Leveraging routinely collected data and large language models to inform patients about their emergency department stay: a feasibility study
D von Wedel1, M Thiele2, D Shay3, R Leuner1, SF Bigdon4, F Balzer1, N Rutsch4
1Charité Universitätsmedizin Berlin, Institute of Medical Informatics, Berlin, Germany, 2Charité Universitätsmedizin Berlin, Berlin, Germany, 3Harvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, USA, 4Inselspital, University Hospital Bern, Department for Orthopedic Surgery and Traumatology, Bern, Switzerland
P004 The ABC team at Gødstrup Hospital
MB Jensen-Holm, RP Nielsen, N Dey
Gødstrup Hospital, Operation and Intensive Care Unit, Herning, Denmark
P005 Doctors’ and nurses’ perceptions on barriers and facilitators to implementing emergency medicine clinical pharmacy services in Singapore general hospital: a mixed-methods study
QYG Mun1, KRR Kwan1, CP Lim2, JL Soong2
1National University of Singapore, Pharmacy, Singapore, Singapore, 2Singapore General Hospital, Pharmacy, Singapore, Singapore
P006 Evaluating the MeMed BV® score in adult patients presenting with respiratory infections: a prospective multicenter observational trial (CRONUS study)
I Nikolakakis1, E Tasouli2, S Gerakari1, S Sympardi2, P Thanasoulias3, E Polyzogopoulou4, J Parissis4, E Giamarellos-Bourboulis5, K Leventogiannis5
1Tzaneion General Hospital, Emergency Department, Piraeus, Greece, 2Thriasio General Hospital, 1st Department of Internal Medicine, Eleusis, Greece, 3Hellenic Institute for the Study of Sepsis, Athens, Greece, 4National and Kapodistrian University of Athens, Emergency Department, Athens, Greece, 5National and Kapodistrian University of Athens, 4th Department of Internal Medicine, Medical School, Athens, Greece
P007 Retrospective evaluation of an automated early warning score in a Dutch hospital
THGF Bakkes1, AJR de Bie2, JA van der Stam3, U Kaymak4, M Mischi4, RA Bouwman5, S Turco4
1Eindhoven University of Technology, Electrical Engineering, Eindhoven, Netherlands, 2Catharina Hospital, Intensive Care, Eindhoven, Netherlands, 3Eindhoven University of Technology, Biomedical Engineering, Eindhoven, Netherlands, 4Eindhoven University of Technology, Eindhoven, Netherlands, 5Catharina Hospital, Eindhoven, Netherlands
P008 The fiscal impact of a rapid sepsis diagnostic in the emergency department (ED)
C D´Antonio1, HR O´Neal, Jr.1, AK Hollis2, K Richard2, L Booty2, T Jagneaux1, M Laperouse3, L Teague2, C Pierce2, CB Thomas4
1LSUHSC - Baton Rouge, Pulmonary and Critical Care, Baton Rouge, USA, 2Our Lady of the Lake Regional Medical Center, Quality & Safety, Baton Rouge, USA, 3Our Lady of the Lake Regional Medical Center, Emergency Medicine, Baton Rouge, USA, 4Franciscan Ministries of Our Lady Health System, Quality & Safety; Pulmonary & Critical Care, LSUHSC, Baton Rouge, USA
P009 Sepsis burden and organ failure among patients in the emergency department: a Danish population-based cohort study
C Schade Skov1, M Brabrand1, C Backer Mogensen2, H Skøjt-Arkil2, F Schønning Rosenvinge3, I Somuncu Johansen4, A Touborg Lassen1
1Odense University Hospital, Department of Emergency Medicine, Odense, Denmark, 2Hospital Sønderjylland, Department of Emergency Medicine, Aabenraa, Denmark, 3Odense University Hospital, Department of Clinical Microbiology, Odense, Denmark, 4Odense University Hospital, Department of Infectious Diseases, Odense, Denmark
P010 Differences between cardiac arrest and heart attack: public awareness and willingness to provide CPR
YCM Chia1, WX Lim2
1Tan Tock Seng Hospital, Emergency Department, Singapore, Singapore, 2Singapore University of Social Sciences, School of Science and Technology, Singapore, Singapore
P011 Interaction effects between parental history of heart disease and own heart disease on incidence of out-of-hospital cardiac arrest: a case–control study
H Ryu, J Lee, C Park
Chonnam National University, Emergency Department, Gwangju, South Korea
P012 Intra-arrest transport and good neurological recovery among out-of-hospital cardiac arrest with refractory ventricular fibrillation: a nationwide observational study
J Lee, H Ryu, J Lee, C Park
Chonnam National University, Emergency Department, Gwangju, South Korea
Outcome | Risk ratio (95% CI) | ||
---|---|---|---|
n/N (%) | Unadjusted | Adjusted | |
Good neurological recovery | |||
On-scene resuscitation | 252/1365 (18.5) | 1 | 1 |
Intra-arrest transport | 187/1365 (13.7) | 0.74 (0.63–0.87) | 0.82 (0.72–0.94) |
Survival to discharge | |||
On-scene resuscitation | 331/1365 (24.2) | 1 | 1 |
Intra-arrest transport | 257/1365 (18.8) | 0.78 (0.69–0.87) | 0.85 (0.77–0.94) |
P013 Cooling the storm: targeted temperature management (TTM) and improved survival outcomes following non-traumatic out-of-hospital cardiac arrests (OHCAs)
AHJ Lim, MYC Chia
Tan Tock Seng Hospital, Emergency Medicine, Singapore, Singapore
Targeted Temperature Management (N = 157) | Normothermia (N = 1155) | p value | |
---|---|---|---|
Age, mean (SD) | 61.0 (15.51) | 68.0 (15.19) | 0.000 |
Gender–Male | 119 (75.8%) | 746 (64.6%) | 0.005 |
History of cardiac disease | 56 (35.7%) | 413 (35.8%) | 0.983 |
Shockable rhythm on first arrest | 58 (36.9%) | 196 (17.0%) | < 0.001 |
Survived to hospital admission | 150 (95.5%) | 596 (51.6%) | < 0.001 |
Mortality at 30 days after admission | 123 (78.3%) | 532 (89.3%) | 0.015 |
CPC Score 1–2 at 30 days | 16 (59.2%) | 30 (46.9%) | 0.280 |
P014 Determinants of vascular leakage after cardiac arrest
A Rutault1, E Guérin2, I Marangon1, C Desnos1, PL Tharaux3, A Combes4, S Germain1, N Bréchot2
1INSERM U1050-Collège de France, Paris, France, 2European Georges Pompidou Hospital, APHP, Medical ICU, Paris, France, 3INSERM U970, Paris Cardiovascular Research Center, Paris, France, 4La Pitié-Salpêtrière Hospital, APHP, Medical ICU, Paris, France
P015 The detrimental effects of intestinal injury mediated by inflammation are limited in cardiac arrest patients: a prospective cohort study
B Farbu1, S Lydersen2, RM Mohus1, T Ueland3, P Klepstad1, H Langeland1
1St. Olav’s University Hospital, Department of Anaesthesiology and Intensive Care Medicine, Trondheim, Norway, 2Norwegian University of Science and Technology (NTNU), Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Faculty of Medicine and Health Sciences, Trondheim, Norway, 3University of Oslo, Institute of Clinical Medicine, Oslo, Norway
P016 Health related quality of life after refractory cardiac arrest treated with conventional or extracorporeal CPR
AF van de Koolwijk1, MM Suverein1, TSR Delnoij2, B Winkens3, JG Maessen4, R Lorusso4, MCG van de Poll1, INCEPTION investigators5
1Maastricht University Medical Centre, Department of Intensive Care Medicine, Maastricht, Netherlands, 2Maastricht University Medical Centre, Department of Intensive Care Medicine & Department of Cardiology, Maastricht, Netherlands, 3Maastricht University, Department of Methodology & Statistics and Care and Public Health Research Institute, Maastricht, Netherlands, 4Maastricht University Medical Centre, Department of Cardiothoracic Surgery, Maastricht, Netherlands, 5Maastricht University Medical Centre, Maastricht, Netherlands
Parameter | Overall (n = 25) | Good (n = 17) | Poor (n = 8) | p value |
---|---|---|---|---|
Age—years | 57 [43–63] | 57 [44–63] | 55 [38–64] | 0.79 |
Duration of the arrest—min | 46 [23–57] | 35 [23–65] | 49 [30–54] | 0.68 |
pH at arrival at ED* | 7.02 [6.87–7.14] | 7.02 [6.87–7.17] | 7.04 [6.88–7.14] | 1.00 |
Lactate at arrival at ED** | 11.3 [7.0–14.5] | 11.3 [7.5–15.2] | 11.3 [6.1–14.7] | 0.89 |
Treatment (ECPR/CCPR) | 5(20)/20(80) | 5(100)/12(60) | 0(0)/8 (40) | 0.23 |
Health utility index | 0.73 ± 0.05 | 0.87 ± 0.05 | 0.44 ± 0.06 | < 0.01 |
Cerebral performance category*** (1/2/3) | 20(87)/2(9)/1(4) | 14(70)/1(50)/0(0) | 6(30)/1(50)/1(100) | 0.62 |
P017 White blood cell count as an inflammatory marker after cardiac arrest: an observational database study
AMJ Seppä1, MB Skrifvars2, PT Pekkarinen1
1University of Helsinki and Helsinki University Hospital, Division of Intensive Care, Department of Anaesthesiology and Intensive Care, Helsinki, Finland, 2University of Helsinki and Helsinki University Hospital, Department of Emergency Care and Services, Helsinki, Finland
P018 The association of gender with cardiopulmonary resuscitation performance, knowledge, and attitudes amongst laypersons in Singapore
S See1, AE White2, PT Naing Win2, NA Jalil2, SF Chong2, ME Ong3
1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore, 2Unit for Prehospital Emergency Care, Singapore, Singapore, 3Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore
P019 Hyperoxemia and mortality in acute brain injury: a systematic review and preliminary metaanalysis
N Romero-Garcia, B Monleon, A Ruiz, M Pascual, A Ruiz Pacheco, F Perdomo, JF Marti, A Gutierrez, JA Carbonell, R Badenes
Hospital Clinico Universitario De Valencia, Anaesthesiology and Critical Care, Valencia, Spain
P020 Impact of early neurocognitive disorders following surgery on clinical outcomes: a comprehensive meta-analysis
V Likhvantsev1, G Landoni2, L Berikashvili1, N Ermokhina1, M Yadgarov1, Y Kotani3, K Kadantseva1, D Makarevich4, A Grechko5
1V. Negovsky Reanimatology Research Institute, Department of Clinical Trials, Moscow, Russian Federation, 2IRCCS San Raffaele Scientific Institute, Department of Anesthesia and Intensive Care, Milan, Italy, 3Kameda Medical Center, Kamogawa, Japan, 4V. Demikhov Municipal Hospital No68, Moscow, Russian Federation, 5Federal Scientific and Clinical Center of Reanimatology and Rehabilitation, Moscow, Russian Federation
P021 Impact of low cardiac output on the development of cerebral hypoxia after acute brain injury
CA Santacruz1, K Puerto2, J Alvarado2, E Gouvea Bogossian3, M Polato3, C Robba4, D De Backer5, FS Taccone3
1Fundación Santa Fe de Bogotá, Bogota, Colombia, 2Fundación Santa Fe de Bogotá, ICU, Bogota, Colombia, 3Erasme Hospital, ICU, Brussels, Belgium, 4Department of Surgical Science and Integrated Diagnostic, University of Genoa, ICU, Genova, Italy, 5CHIREC Hospitals, ICU, Brussels, Belgium
P022 The role of viral load for COVID-19-induced encephalitis
L Dogan1, D Kaya2, N Yurtturan Uyar3, A Dincer4, S Kocagoz5, B Gucyetmez1, İO Akinci6
1Acibadem University, Department of Anesthesiology and Reanimation, İstanbul, Turkey, 2Acibadem University, Department of Neurology, İstanbul, Turkey, 3Acibadem University, Department of Medical Microbiology, İstanbul, Turkey, 4Acibadem University, Department of Radiology, İstanbul, Turkey, 5Acibadem University, Department of Infectious Diseases and Clinical Microbiology, İstanbul, Turkey, 6Acibadem Altunizade Hospital, Intensive Care Unit, İstanbul, Turkey
P023 Perioperative morbimortality in elective resection of supratentorial tumors, evaluated using the Clavien–Dindo classification in a low-income country: Bogotá, Colombia
MC Niño1, L Rincon1, D Cohen1, W Amaya-Zuñiga1, D Benitez1, A Obando1, A Camargo2, L Carvajal2, MI Daza2, JF Parada-Márquez1
1Hospital Universitario Fundacion Santa Fe de Bogota, Anesthesiology, Bogotá, Colombia, 2 Universidad de los Andes, Faculty of Medicine Bogota, Colombia
P024 Preoperative anemia and its impact on supratentorial tumor resection complications in a high-altitude resident population
MC Niño1, L Rincon1, JA Mejia2, W Amaya-Zuñiga1, D Benitez1, A Obando1, MI Daza3, JF Parada-Márquez1, S Ruiz3, S Corredor3
1Hospital Universitario Fundación Santa Fe de Bogotá, Anesthesiology, Bogotá, Colombia, 2Hospital Universitario Fundación Santa Fe de Bogotá, Neurosurgery, Bogotá, Colombia, 3Universidad de Los Andes, Faculty of Medicine, Bogotá, Colombia
n = 201 | Length of stay (days) M | (p25–p75) | IQR | p value |
---|---|---|---|---|
Age (years) < 60 versus ≥ 60 | (4 vs. 4) | (3–5 vs. 3–5) | (2 vs. 2) | 0.8 u |
Renal failure No versus Yes | (4 vs. 3) | (3–5 vs. 3–3) | (2 vs. 0) | 0.5 u |
Preoperative anemia* No versus Yes | (4 vs. 4) | (3–5 vs. 3–5) | (2 vs. 2) | 0.03 u |
Transfusion requirement No versus Yes | (4 vs. 11) | (3–5 vs. 5–45) | (2 vs. 40) | 0.007 u |
Surgical site infection No versu Yes | (4 vs. 45) | (3–5 vs. 3–92) | (2–88) | 0.1 u |
ICU readmission No versus Yes | (4 vs 26.5) | (3–5 vs. 4–92) | (2 vs. 88) | 0.03 u |
Reoperation No versus Yes | (4 vs 11) | (3–5 vs. 6–45) | (2 vs. 39) | 0.000 u |
P025 A rare complication of a trans-thoracic core biopsy
D Correia1, J Gonçalves2, P La Feria3, G Nobre de Jesus1, C Candeias1, JM Ribeiro1
1Centro Hospitalar Universitário Lisboa Norte, Intensive Care Medicine Department, Lisboa, Portugal, 2Centro Hospitalar do Oeste, Serviço de Medicina Intensiva, Caldas da Rainha, Portugal, 3Hospital Prof. Doutor Fernando Fonseca, Serviço de Medicina Intensiva, Amadora, Portugal
P026 Continuous EEG as a neurophysiological tool in a critical care setting
M Papaioannou, M Tzimou, F Davora, I Mouskeftara, E Eleftheriadou, V Tsiapara, C Charachristos, G Vasileiadou, A Lavrentieva
General Hospital of Thessaloniki "G. Papanikolaou", A ICU, Thessaloniki, Greece
P027 Factors correlated with delay or non-delay presentation for acute stroke in emergency department
DI Popa1, C Williams1, F Buleu2, D Șutoi1, C Trebuian1, A Iancu3, OA Mederle1
1Victor Babes University of Medicine and Pharmacy, Surgery, Timisoara, Romania, 2Victor Babes University of Medicine and Pharmacy, Cardiology, Timisoara, Romania, 3Victor Babes University of Medicine and Pharmacy, Radiology, Timisoara, Romania
Risk factors | Full sample, n = 202 | Under 4.5 h, n = 98 | Over 4.5 h, n = 104 | p value |
---|---|---|---|---|
Obesity | 12 (5.94%) | 8 (8.16%) | 4 (3.84%) | 0.120 |
Smoking | 37 (18.31%) | 25 (25.51%) | 12 (11.53%) | 0.005* |
Alcohol | 31 (15.34%) | 16 (16.32%) | 17 (16.34%) | 0.986 |
Dyslipidemia | 22 (10.89%) | 8 (8.16%) | 14 (13.46%) | 0.7 |
Arterial hypertension | 164 (81.18%) | 73 (74.48%) | 91 (87.5%) | 0.670 |
Diabetes mellitus | 53 (26.23%) | 27 (27.55%) | 26 (25.0%) | 1.00 |
Atrial fibrillation | 40 (19.80%) | 15 (15.30%) | 25 (24.03%) | 0.752 |
Anticoagulant treatment | 34 (16.63%) | 16 (16.32%) | 18 (17.30%) | 0.950 |
P028 Analysis of inflammatory biomarkers in predicting delayed cerebral ischemia in non-traumatic subarachnoid hemorrhage (SAH)
S Serra Soler1, M Sánchez Satorra2, MT Misis del Campo2, M Alcalde-Herraiz3, M Català4, J Ferrés Llach2, I Selva Armadans1, M Bauçà Socías2, T Pons Lopez2, D Mota Montané2
1Hospital Germans Trias i Pujol, Medicina Intensiva, Badalona, Spain, 2Hospital Germans Trias i Pujol, Intensive Care Unit, Badalona, Spain, 3Universitat Politècnica de Catalunya, Barcelona, Spain, 4Oxford University, Oxford, UK
DAY 0 | DAY 3 | DAY 7 | |
---|---|---|---|
Leukocytes (× 109/L) | No DCI: 13.5 (4.9) Yes DCI: 14.7 (4.4) p = 0.04 | No DCI: 11.6 (3.7) Yes DCI: 13.2 (5) p = 0.01 | No DCI: 11 (3.3) Yes DCI: 11.1 (4.2) p = 0.99 |
Neutrophils (%) | No DCI: 82 (9.4) Yes DCI: 85.4 (6.3) p = 0.01 | No DCI: 76.7 (9.6) Yes DCI: 78.3 (8.6) p = 0.24 | No DCI: 73.1 (10.1) Yes DCI: 73.9 (8.4) p = 0.71 |
Fibrinogen (mg/dL) | No DCI: 434.8 (99.1) Yes DCI: 448.1 (102.9) p = 0.0 | No DCI: 571.8 (177.9) Yes DCI: 643.5 (188) p = 0.03 | No DCI: 617.1 (196.5) Yes DCI: 746.6 (247.5) p = 0.0 |
CRP (mg/L) | No DCI: 11.9 (22.9) Yes DCI: 16.4 (21.1) p = 0.04 | No DCI: 47.3 (59.5) Yes DCI: 70.1 (70.1) p = 0.22 | No DCI: 36.6 (55.9) Yes DCI: 68.1 (92.3) p = 0.01 |
Interleukin-6 (pg/mL) | No DCI: 25.4 (38.9) Yes DCI: 49.9 (125.4) p = 0.03 | No DCI: 43.2 (93.9) Yes DCI: 37.8 (46.8) p = 0.83 | No DCI: 35.1 (126.1) Yes DCI: 19.2 (18.2) p = 0.5 |
Ferritin (ng/mL) | No DCI: 117 (75.5) Yes DCI: 268.9 (183.9) p = 0.01 | No DCI: 176.3 (108) Yes DCI: 317.5 (173.6) p = 0.01 | No DCI: 240.3 (155.8) Yes DCI: 442.3 (205.1) p = 0 |
P029 Assessment of platelet inhibition secondary to antiplatelet therapy using thromboelastography-platelet mapping (TEG-PM) in South-East Asian (SEA) patients with spontaneous intracerebral haemorrhage (sICH): a pilot feasibility observational study
M Chew1, M Ye2, K Cao1, YJD Quek3, YT Chew1, YL Wong1
1Tan Tock Seng Hospital, Department of Anaesthesiology, Intensive Care and Pain Medicine, Singapore, Singapore, 2Khoo Teck Puat Hospital, Department of Anaesthesia, Singapore, Singapore, 3Tan Tock Seng Hospital, Department of Emergency Medicine, Singapore, Singapore
P030 Delayed ischemic neurological deficit detection and management after aneurysmal subarachnoid hemorrhage: a 7-year retrospective monocentric study
L Patrini1, F Graziano2, P Gilardi3, L Meletti3, F Elli3, M Baggiani3, A Guglielmi1, P Remida4, CG Giussani5, G Citerio6
1IRCCS Policlinico San Matteo di Pavia, Department of Clinical-Surgical Diagnostic and Paediatric Sciences, Unit of Anaesthesia and Intensive Care, Pavia, Italy, 2Fondazione IRCCS San Gerardo dei Tintori, Neuroscience Department, NeuroIntensive Care Unit, Monza, Italy, 3Fondazione IRCCS San Gerardo dei Tintori, Neuroscience Department, Neurosurgery, Monza, Italy, 4Fondazione IRCCS San Gerardo dei Tintori, Neuroscience Department, Neuroradiology, Monza, Italy, 5Fondazione IRCCS San Gerardo dei Tintori, Neuroscience Department, Neurosurgery, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy, School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy, 6Fondazione IRCCS San Gerardo dei Tintori, Neuroscience Department, NeuroIntensive Care Unit, Monza, Italy, School of Medicine and Surgery, University of Milano - Bicocca, Milano, Italy
Only medical therapy N = 18 | Rescue therapy N = 57 | |
---|---|---|
Female; Age > 70, yes (%) | 15 (83.3); 4 (22.2) | 39(68.4); 8 (14) |
Hypertension | 7 (38.9) | 22 (38.6) |
WFNS grading scale > 3 | 6 (33.3) | 21 (36.8) |
mFisher > 2 | 14 (77.8) | 42 (73.7) |
Spoke access | 4 (22.2) | 29 (50.9) |
Anterior circulation aneurysm | 17 (94.4) | 54 (94.7) |
Pre procedural rebleeding | 3 (16.7) | 11 (19.3) |
P032 Role of UCH-L1/GFAP and t-Tau/GFAP ratios in predicting neuronal and glial injury following systemic insults in traumatic brain injury
E Ioppolo1, F Graziano2, M Baggiani2, L Patrini3, A Guglielmi3, G Citerio2
1Università degli Studi di Milano-Bicocca, Dipartimento di Medicina e Chirurgia, Monza, Italy, 2Fondazione IRCCS San Gerardo dei Tintori, Neuroscience Department, NeuroIntensive Care Unit, Monza, Italy, 3University of Pavia, Department of Clinical-Surgical Diagnostic and Paediatric Sciences, Unit of Anaesthesia and Intensive Care, Pavia, Italy
No SIs | Hypoxemia | Hypotension | Both | |
---|---|---|---|---|
N (%) | 1280 (75.5) | 158 (9.3) | 142 (8.4) | 115 (6.8) |
UCH-L1*** | 245.90 (108.8, 531.7) | 344.50 (182.5, 717.9) | 362.71 (177.8, 849.4) | 449.03 (240.1, 887.9) |
t-Tau*** | 6.29 (3.0, 13.4) | 7.90 (4.1, 18.6) | 9.43 (4.6, 20.7) | 10.43 (5.5, 19.3) |
GFAP° | 14.66 (4.8, 36.7) | 17.63 (7.5, 41.2) | 15.92 (5.7, 42.7) | 17.18 (6.0, 50.8) |
Ratios | ||||
UCH-L1/GFAP*** | 16.86 (11.9, 26.7) | 17.44 (11.95, 33.3) | 20.38 (14.4, 30.4) | 23.19 (15.2, 53.1) |
t-Tau/GFAP* | 0.47 (0.3, 0.8) | 0.43 (0.3, 0.96) | 0.56 (0.3, 1.1) | 0.62 (0.4, 1.4) |
P033 The cerebral adaptive index (CAI): a novel index to monitor cerebral autoregulation in real-time
A Albanese1, P Benni1, Z Jian1, F Hatib1, H Liu2, D Veelo3, A Vlaar3, R Immink3, REC van den Dool3, CW Hogue4
1Edwards Lifesciences, Irvine, USA, 2UC Davis Health, Sacramento, USA, 3Amsterdam UMC, Amsterdam, Netherlands, 4Northwestern University Feinberg School of Medicine, Chicago, USA
P034 IL-1β and TNF-α association with functional outcome in adults with traumatic brain injury admitted to ICU: a prospective cohort
E Cáceres, JC Olivella, AE Viñan Garces, LF Reyes
Facultad de Medicina, Universidad de La Sabana, Bogota, Colombia
Variables | Univariate analysis (OR [95% CI]; p value) | IL-1β Multivariate analysis (OR [95% CI]; p value | TNF-α Multivariate analysis (OR [95% CI]; p value) |
---|---|---|---|
Age | 1.04 [1.01–1.07]; 0.01 | 1.06 [1.02–1.11]; < 0.01 | 1.04 [1.01–1.09]; 0.03 |
Admission GCS | 0.77 [0.68–0.88]; < 0.01 | ||
AIS head | 3.10 [1.67–5.76]; < 0.01 | 2.63 [1.08–6.36]; 0.03 | 2.77 [1.07–7.16]; 0.03 |
APACHE II | 1.21 [1.10–1.33]; < 0.01 | 1.21 [1.05–1.38]; 0.01 | 1.21 [1.05–1.40]; < 0.01 |
Interleukin-1β at 72 h of admission | 1.35 [0.93–1.95]; 0.11 | 1.48 [1.01–2.18]; 0.04 | |
Interleukin 6 at 72 h of admission | 1.01 [1.00–1.02]; 0.04 | ||
Tumor necrosis factor-α at 72 h of admission | 1.14 [1.05–1.23]; < 0.01 | 1.13 [1.03–1.25]; 0.01 |
P035 Traumatic brain injury: Could Motor Score–Pupils have a higher prognostic value than Glasgow Coma Scale?
W Bahria, C Tlaies, F Sebeai, I Boussaid, M Miledi, I Sahnoun, M Boussen, NE Nouira
Mongi Slim Academic Hospital, Emergency Department, Tunis, Tunisia
P036 Treatment following intracranial pressure monitoring improves outcome but extends the length of stay: a retrospective analysis of a single center
R Antolini1, G Perini2, F Violini2, A Raponi3, C Pacini2, F Santoni2, E Vitali2, A Salvucci Salice4, A Donati5, A Carsetti5
1UNIVPM, Ancona, Italy, 2UNIVPM, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy, 3UNIVPM, Emergency Medicine Residency Program, Università Politecnica delle Marche, Ancona, Italy, 4UNIVPM, Medicina E Chirurgia, Ancona, Italy, 5UNIVPM, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy/Clinica di Anestesia e Rianimazione Generale, Respiratoria e del Trauma Maggiore, AOU delle Marche, Ancona, Italy
ICP Monitoring | No ICP Monitoring | p value | |
---|---|---|---|
Discharged from ICU | 123 | 264 | < 0.05 |
Dead | 9 | 41 |
P037 Hemoglobin levels, transfusions and outcomes after traumatic brain injury. Data from CENTER-TBI
A Guglielmi1, F Graziano2, M Baggiani3, L Patrini3, A Di Cristofano4, E Ioppolo5, FS Taccone5, G Citerio3
1University of Pavia-IRCCS Policlinico San Matteo, Pavia, Department of Clinical-Surgical Diagnostic and Paediatric Sciences, Unit of Anaesthesia and Intensive Care, Pavia, Italy, 2IRCCS Fondazione San Gerardo dei Tintori, NeuroIntensive Care Unit, Department Neuroscience, Monza, Italy, 3University of Pavia-IRCCS Policlinico San Matteo, Pavia, Anaesthesia and Intensive Care Department Fondazione Pavia, Italy, 4IRCCS Fondazione San Gerardo dei Tintori, School of Medicine and Surgery, University of Milano – Bicocca, Milan, Italy, 5Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
P038 Early extracranial surgery in early traumatic brain injury (TBI) and systemic insults
M Baggiani1, F Graziano1, L Patrini2, E Ioppolo3, A Guglielmi4, E Picetti5, G Citerio2
1Fondazione IRCCS San Gerardo dei Tintori, Neuroscience Department, NeuroIntensive Care Unit, Monza, Italy, 2University of Pavia, Department of Clinical-Surgical Diagnostic and Paediatric Sciences, Pavia, Italy, 3University of Milano - Bicocca, School of Medicine and Surgery, Milan, Italy, 4University of Pavia, Department of Clinical-Surgical Diagnostic and Paediatric Sciences, Unit of Anaesthesia and Intensive Care, Pavia, Italy, 5Parma University Hospital, Department of Anesthesia and Intensive Care, Parma, Italy
Overall (1695) | Extracranial surgery (258) | No extracranial surgery (1437) | p | |
---|---|---|---|---|
Age (mean (SD)) | 50.41 (19.34) | 44.15 (17.98) | 51.54 (19.37) | < 0.001 |
Road traffic accident | 741 (45.2) | 177 (69.7) | 564 (40.7) | < 0.001 |
Total ISS (mean (SD)) | 33.61 (16.18) | 45.05 (15.37) | 31.56 (15.46) | < 0.001 |
Classification (%)—both | 115 ( 6.8) | 37 (14.3) | 78 ( 5.4) | < 0.001 |
Hypotension | 142 ( 8.4) | 50 (19.4) | 92 ( 6.4) | |
Hypoxia | 158 ( 9.3) | 27 (10.5) | 131 ( 9.1) | |
Mortality % (6 months) | 380 (22.4) | 34 (13.2) | 346 (24.1) | < 0.001 |
P039 Study of a large cohort of traumatic spinal cord injury patients attended in intensive care unit during the last 4 years
I Selva Armadans1, AF Jiménez Alfonso2, J Baena Caparrós2, M Baguena Martínez2
1Hospital Universitari Germans Trias i Pujol, Intensive Care, Badalona, Spain, 2Hospital Universitari Vall d´Hebron, Intensive Care Unit, Barcelona, Spain
P040 Examining the predictive effectiveness of ATLS, rTS in polytrauma patients and defining new parameters to be added to trauma scores
S Hosaf1, O Ayvaz1, T Kayım1, E Karakoc2, B Yelken2
1Eskisehir Osmangazı University, Anaesthesia and Reanimation, Eskisehir, Turkey, 2Eskisehir Osmangazı University, Intensive Care Unit, Eskisehir, Turkey
P041 Impact of E-FAST and massive transfusion in polytrauma approach
AR Simões, M Sequeira, L Simões, L Linhares, E Trigo, P Martins
Centro Hospitalar e Universitário de Coimbra, Serviço Medicina Intensiva, Coimbra, Portugal
P043 D-dimer levels at the time of admission to hospital as predictor of outcome in trauma patients. A prospective observational study
A Hazarika1, J Ahluwalia2, K Jain1, N Bhatia1, D Kumar3
1Postgraduate Institute of Medical Education & Research, Department of Anaestheisa & Intensive care, Chandigarh, India, 2Postgraduate Institute of Medical Education & Research, Hematology, Chandigarh, India, 3Postgraduate Institute of Medical Education & Research, Orthopaedics, Chandigarh, India
P044 FORMA-10 sub-analysis: a real-world, retrospective, observational study of fibrinogen concentrate in patients with trauma-related bleeding and fibrinogen deficiency
F Stéphan1, L Gutermann2, S Bourget3, S Djabarouti4, J Berdugo5, Y Fardini6, P Clerson6, G Hébert2, C Belmokhtar7
1Service de Réanimation Adultes, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint Joseph, Le Plessis Robinson, France, 2Service Pharmacie et Stérilisation, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint Joseph, Le Plessis Robinson, France, 3Service Pharmacie, Centre Hospitalier de Valence, Valence, France, 4Service Pharmacie, Groupe Hospitalier Sud, CHU de Bordeaux, Pessac, France, 5Service Pharmacie, Hôpital Saint-Joseph, Marseille, France, 6Soladis Clinical Studies, Roubaix, France, 7Octapharma France SAS, Boulogne-Billancourt, France
P045 An investigational four-factor prothrombin complex concentrate for vitamin K antagonist reversal: hemostatic efficacy and safety demonstrated with and without concurrent vitamin K therapy
JN Goldstein1, G Simonian2, T Milling3, D Hinterberger4, M Gareis4, R Sarode5
1Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA, 2Department of Surgery, Hackensack University Medical Center, Hackensack, USA, 3Seton Dell Medical School Stroke Institute, Dell Medical School, University of Texas at Austin, Austin, USA, 4Octapharma Pharmazeutika Produktionsges.m.b.H, Vienna, Austria, 5Division of Transfusion Medicine and Hemostasis, University of Texas Southwestern Medical Center, Dallas, USA
4F-PCC | Investigational (n = 79) | Control (n = 71) | Investigational (n = 26) | Control (n = 32) |
---|---|---|---|---|
Concomitant vitamin K | Yes | Yes | No | No |
Effective hemostasis, n (%) | 73 (92.4%) | 66 (93.0%) | 26 (100%) | 31 (96.9%) |
Proportional efficacy difference (95% CI) p value | − 0.006 (− 0.103: 0.092); 0.002 | – | 0.031 (− 0.118: 0.181); 0.009 | – |
30 min post-infusion INR ≤ 1.5, n (%): | 63 (79.7%) | 54 (76.1%) | 19 (73.1%) | 20 (62.5%) |
Proportional INR difference (95% CI) | 0.037 (− 0.096: 0.170) | – | 0.106 (− 0.139: 0.351) | – |
Any TEAE | 67 (84.8%) | 59 (83.1%) | 19 (73.1%) | 21 (65.6%) |
Any serious TEAE | 11 (13.9%) | 6 (8.5%) | 2 (7.7%) | – |
P046 Impact of increasing concentration of direct oral anticoagulants and their impact on ROTEM variables: an experimental study
L Sunnersjö, L Lindquist, J Undén, A Hillarp, U Schött, T Kander
Lund University, Medical Faculty, Lund, Sweden
P047 Impact of red blood cell transfusion on physiologic parameters suggestive of anemia intolerance in critically ill children
A Willems
HUDERF, Pediatric Intensive Care Unit, Brussels, Belgium
P048 Prevalence and significance of disseminated intravascular coagulation in COVID-19
S Gando1, T Akiyama2
1Hokkaido University Faculaty of Medicine, Anesthesiology and Critical Care Medicine, Sapporo, Japan, 2National Center for Global Health and Medicine, AMR Clinical Reference Center, Tokyo, Japan
P049 Effects of therapeutic anticoagulation and high dose dexamethasone on mortality in patients with COVID-19 pneumonia admitted to the intensive care unit (ICU)
K Cistera1, J Swartz1, J Alhashemi2
1Lakeshore General Hospital, Respiratory Therapy, Pointe Claire, Canada, 2Lakeshore General Hospital, Anesthesiology, Pointe Claire, Canada
P050 Characterization of critically ill oncological patients before the pandemic: a nationwide analysis
RL López1, PV Vargas1, JM Montes1, YB Bernal2, XA Aguilera2, ID Delgado2
1Clínica Alemana de Santiago, Departamento Paciente Crítico, Santiago, Chile, 2Facultad de Medicina Clínica Alemana - Universidad del Desarrollo, Instiututo de Ciencias e Innovación en Medicina, Santiago, Chile
Variable | Critically ill oncological patients (N = 13,238) | Critically ill non-oncological patients (N = 50,271) | Significance |
---|---|---|---|
Male, N (%) | 7,061 (53.3) | 27,896 (55.5) | < 0.001 |
Age, years, mean (SD) | 60 (18) | 59 (18) | < 0.001 |
Acute respiratory failure, N (%) | 1,384 (10.5) | 5,166 (10.3) | 0.548 |
Sepsis, N (%) | 1,893 (14.3) | 2,896 (5.8) | < 0.001 |
Hospital length of stay, days, mean (SD) | 14 (12) | 11 (10) | < 0.001 |
ICU mortality, N (%) | 882 (6.7) | 2,231 (4.4) | < 0.001 |
Hospital mortality, N (%) | 193 (14.6) | 5,630 (11.2) | < 0.001 |
P051 Intraoperative use of hydroxyethyl starch in patients undergoing major surgery is not associated with higher mortality: a propensity score matched analysis
NS Schreiber1, AP Pichler2, MK Kolland3, DF Freidorfer2, ME Eichinger2, PZ Zoidl2, SF Fida1, LH Heuschneider2, ME Eichlseder2
1Medical University of Graz, Department of Anesthesiology and Intensive Care Medicine 2, Graz, Austria, 2Medical University of Graz, Department of Anesthesiology and Intensive Care 1, Graz, Austria, 3Medical University of Graz, Division of Nephrology, Department of Internal Medicine, Graz, Austria
P052 Correlation of corrected carotid artery flow time with left ventricular outflow tract velocity time integral after mini fluid challenge for assessment of fluid responsiveness
K Putka1, S Kazūne2, I Būce-Šatoba1
1Riga East University Hospital, Intensive Care Unit, Riga, Latvia, 2The Hospital of Traumatology and Orthopaedics, Anaesthesiology and Intensive Care, Riga, Latvia
P053 Fluid resuscitation and acute kidney injury in the electric burn patient. Reconsidering initial resuscitation goals
SJ Bernal Salazar1, L Nasiff Cabrales1, N Navarrete2
1Universidad del Rosario, Burn ICU rotation, Bogota, Colombia, 2Hospital Simon Bolivar, Burn ICU Hospital Simón Bolívar, Bogota, Colombia
P054 Standardising central venous port selection to minimise extravasation risk: a complete audit cycle from a UK hospital
RC Gill, N Manning, E Thomas, M Saba, J Patel, E McKemey, R Chauhan
University Hospitals Birmingham NHS Foundation Trust, Intensive Care Medicine, Birmingham, UK
P055 Evaluation of QT interval management in ICU: a two-cycle audit at Cambridge University Hospital, UK
A Alsinbili, MG Kaya, P Bradley
Cambridge University Hospitals NHS Foundation Trust, Intensive Care Unit, Cambridge, UK
P056 Locoregional anesthesia in thoracic trauma: ICU outcomes and implications
A Barbosa Ribeiro1, G Sousa2, E Segura2, C Ferreira Santos1
1Centro Hospitalar Tondela-Viseu, Intensive Care Medicine Department, Viseu, Portugal, 2Centro Hospitalar Tondela-Viseu, Anesthesiology Department, Viseu, Portugal
P057 Description of pharmacologic pain control using the analgesia nociception index monitor during the performance of noninvasive procedures in adult patients undergoing invasive mechanical ventilation in the intensive care unit
C Catalán, A Cañas, J Tello, A Ulloa, C Díaz, J Contreras
Clinica Alemana, Intensive Care Unit, Santiago, Chile
P058 Effective pain management in chest trauma: should we go regional?
D Martins Fernandes1, J Cabral2, JM Pereira3, S Fonseca2, N Gatta3, AR Teles2, JA Paiva3
1Diana Fernandes, Intensive Care Department, Areosa, Portugal, 2Centro Hospitalar Universitário São João, Anesthesiology Department, Paranhos, Portugal, 3Centro Hospitalar Universitário São João, Intensive Care Department, Paranhos, Portugal
P059 Ultrasound-guided cervical plexus nerve block versus cervical plexus superficial nerve block, single injection, for postoperative haemodynamic and pain control in carotid endarterectomy operation
DR Lončar Stojiljković1, P Stojilković2
1Institute for Cardiovascular Surgery Dedinje, Belgrade, Anesthesia and ICU, Belgarde, Serbia, 2University of Banja Luka, Department of Pharmacology, Toxicology and Clinical Pharmacology, Banja Luka, Bosnia and Herzegovina
P060 A comparison of droperidol 5 mg and 10 mg for acute agitation in the emergency department
K Glass
Hennepin Healthcare, Pharmacy, Minneapolis, USA
P061 Sevoflurane therapy using anaesthetic conserving device in life-threatening refractory bronchospasm in adults
H Chandramohan1, S Dhanvijay1, A Kansal1, E Dela Pena2, E Sunico2, T Conanan2, P Dela Cruz2, M Vidanes2, F Ahmed Khan1
1Ng Teng Fong General Hospital, Intensive Care Medicine, Singapore, Singapore, 2Ng Teng Fong General Hospital, Respiratory Therapist, Singapore, Singapore
P062 Evaluation of the rate of continuation of antipsychotics started for delirium in ICU trauma patients
J Spadgenske
Hennepine Healthcare, Pharmacy, Minneapolis, USA
P063 Population pharmacodynamics to study hemodynamic and sedative effects of clonidine in mechanically ventilated adult patients
H van den Oever1, M Cloesmeijer2, M Zeeman3, M Arbouw4
1Deventer Hospital, Intensive Care, Deventer, Netherlands, 2Amsterdam UMC location AMC, University of Amsterdam, Department of Hospital Pharmacy – Clinical Pharmacology, Amsterdam, Netherlands, 3Deventer Hospital, Clinical Geriatrics, Deventer, Netherlands, 4Deventer Hospital, Hospital Pharmacy, Deventer, Netherlands
P064 Cardioprotective effect of dexmedetomidine in patients with ischemic heart disease in non-cardiac surgery
ME Kavlak1, Z Sungur2, M Orhan Sungur2, M Savran Karadeniz2, AK Bilge3, NM Senturk4, E Camcı2, M Tugrul5
1Üsküdar University School of Medicine, Intensive Care Unit, Istanbul, Turkey, 2Istanbul University School of Medicine, Department of Anesthesiology and Reanimation, Istanbul, Turkey, 3Istanbul University School of Medicine, Department of Cardiology, Istanbul, Turkey, 4Acıbadem University School of Medicine, Department of Anesthesiology and Reanimation, Istanbul, Turkey, 5Vadi Liv Hospital, Department of Anesthesiology and Reanimation, Istanbul, Turkey
P065 Post-infarction ventricular septal defect: surgical repair and percutaneous closure with ASD occluder: single-center experience
DV Pevzner1, EA Avetisyan1, EV Merkulov2, IA Merkulova1, AK Alieva1, IN Zharovin1, PF Kushnir1, I Ziuriaev1, LO Dulaev1, AG Osiev3
1Federal State Budgetary Institution National Medical Research Centre of Cardiology Named After Academician E.I.Chazov of the Ministry of Health of the Russian Federation, Intensive Care Unit of the Emergency Cardiology Department, Moscow, Russian Federation, 2Federal State Budgetary Institution National Medical Research Centre of Cardiology Named After Academician E.I.Chazov of the Ministry of Health of the Russian Federation, Department of Endovascular Diagnostics And Treatment, Moscow, Russian Federation, 3Clinical and Diagnostic Center MEDSI, Endovascular Department, Moscow, Russian Federation
P066 The predictive value of the simplified CAMI score in fibrinolysis failure in patients admitted to the emergency room for myocardial infarction with elevated ST segment (STEMI)
Y Walha1, W Bahria1, K Jmai1, H Ouerghi1, J Sebai1, M Bouraoui1, F Azaiez2, NE Nouira1
1Mongi Slim Academic Hospital, Emergency Department, Tunis, Tunisia, 2Mongi Slim Academic Hospital, Cardiology Department, Tunis, Tunisia
P067 Evaluation of the HEAR score to exclude the hypothesis of acute coronary syndrome in patients consulting the emergency department for chest pain
Y Walha1, I Boussaid1, W Demni1, R Haggi1, M Rebhi1, F Azaiez2, E Lagha2, M Boussen1, NE Nouira1
1Mongi Slim Academic Hospital, Emergency Department, Tunis, Tunisia, 2Mongi Slim Academic Hospital, Cardiology Department, Tunis, Tunisia
P068 Anesthesia management for high-risk patients with critical aortic stenosis. TAVI life salvage procedure
A Kuanyshbek1, S Tulegenov1, T Kapyshev1, T Lesbekov2, D Seidanov1, D Zhuparkhan1
1National Research Cardiac Surgery Center, CICU, Astana, Kazakhstan, 2National Research Cardiac Surgery Center, Cardiac Surgery, Astana, Kazakhstan
P069 Implementation of ERAS program in cardiac surgery: preliminary results of an ERAS certified centre
D Carel1, M Verdugo-Marchese2, MZ Gunga2, A Nowacka2, V Melly2, C Botteau1, M Kirsch2, V Rancati3, Z Ltaief1
1CHUV, ICU, Lausanne, Switzerland, 2CHUV, Cardiac Surgery, Lausanne, Switzerland, 3CHUV, Anaesthesia, Lausanne, Switzerland
P070 Association of hemodynamic variables in the first 4 h after intensive care unit admission and the development of cardiac surgery-associated acute kidney injury within 72 h after cardiac surgery. A single center cohort study
F Dogrul, W Vandenberghe, E Hoste
Ghent University Hospital, Ghent University, Department of Critical Care Medicine, Ghent, Belgium
Area under the curve (95% CI) | p value | |
---|---|---|
A: AUROC analysis | ||
MAP | 0.443 (0.424–0.463) | < 0.001 |
CVP | 0.600 (0.580–0.619) | < 0.001 |
MPP | 0.405 (0.386–0.425) | < 0.001 |
B: Logistic regression analysis * | OR (95% CI) | p value |
MAP (model 1) | 0.990 (0.981–0.998) | 0.016 |
CVP (model 1) | 1.109 (1.083–1.136) | < 0.001 |
MPP (model 2) | 0.988 (0.980–0.996) | 0.003 |
P071 The modified ATRIA risk score predicts mortality for atrial fibrillation
W Bahria1, F Hamdoun2, H Ouerghi2, D Hamdi2, F Azaiez1, F Ben Jaballah2, M Boussen2, NE Nouira2
1Mongi Slim Academic Hospital, Cardiology Department, Tunis, Tunisia, 2Mongi Slim Academic Hospital, Emergency Department, Tunis, Tunisia
P072 Preload responsiveness cannot be detected by micro-fluid challenge assessed by bioreactance
N De Vita, R Shi, C Bruscagnin, D Rosalba, F Gavelli, A Pavot, C Lai, JL Teboul, X Monnet
Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, INSERM UMR_S999, Université Paris-Saclay, AP-HP, Service de Médecine Intensive-Réanimation, Le Kremlin-Bicêtre, France
P073 Intrarenal vein flow pattern trajectory correlates with alterations in fluid responsiveness in critically ill patients
K Trigkidis1, S Kokkoris1, A Bogas1, I Siempos1, C Routsi2
1Medical School, National and Kapodistrian University of Athens, Evangelismos Hospital, Athens, Greece, 2Medical School, National and Kapodistrian University of Athens, Evangelismos Hospital, ICU, Athens, Greece
P074 Impact of an early deresuscitation strategy on mechanical ventilation duration in septic shock patients: a secondary analysis of two multicentre controlled trials
W Juguet1, M Boubaya2, JP Quenot3, D Dreyfuss4, S Gaudry1
1Hôpital Avicenne AP-HP, Intensive Care, Bobigny, France, 2Hôpital Avicenne AP-HP, Unité de Recherche Clinique, Bobigny, France, 3Hôpital François Mitterrand, Intensive Care, Dijon, France, 4Hôpital Tenon AP-HP, French National Institute of Health and Medical Research (INSERM), UMR S1155, CoRaKiD, Paris, France
P075 Perioperative fluid management in critically ill surgical intra-abdominal septic shock and outcome: SIASS-F-III STUDY (effect of preoperative and intraoperative vasopressor)
S Kongsayreepong1, T Jaroensri1, N Deeprasert2, S Visuthisakchai2
1Department of Anesthesiology, Siriraj Hospital, Mahidol University, Anesthesiology and Critical Care, Bangkok, Thailand, 2Department of Anesthesiology, Siriraj Hospital, Mahidol University, Bangkok, Thailand
P076 Mortality in septic shock patients with persistent tachycardia treated with short-acting betablockers: a meta-analysis of randomized controlled trials
MG Alexandru1, R Borgstedt1, T Whitehouse2, S Rehberg1, SS Scholz1
1University Hospital Bielefeld, Campus Bielefeld-Bethel, University of Bielefeld, Department of Anaesthesiology, Intensive Care, Emergency Medicine, Transfusion Medicine and Pain Therapy, Bielefeld, Germany, 2College of Medical and Dental Sciences University of Birmingham, Institute of Inflammation and Ageing, Birmingham, UK
P077 Comparison of the efficacy and safety of esmolol and landiolol in critically ill patients: a retrospective cohort study
X Si, R Shi, H Yuan, W Song, J Guo, J Wu, X Guan
The First Affiliated Hospital of Sun Yat-sen University, Critical Care Medicine, Guangzhou, China
P078 Continuous monitoring of mitral annular plane systolic excursion using transesophageal echocardiography and deep learning predicts postoperative cardiac biomarkers
J Yu1, E Skogvoll1, TD Tannvik2, AA Taskén3, B Grenne1, I Kirkeby-Garstad4, S Aakhus1
1Norwegian University of Science and Technology/St Olav´s Hospital, Department of Circulation and Medical Imaging/Department of Anesthesia and Intensive Care, Trondheim, Norway, 2St Olavs Hospital, Department of Anesthesia and Intensive Care, Trondheim, Norway, 3Norwegian University of Science and Technology, Department of Computer Science, Trondheim, Norway, 4Norwegian University of Science and Technology, Department of Circulation and Medical Imaging, Trondheim, Norway
ProBNP (AUC) | TnT (AUC) | |
---|---|---|
AutoMAPSE (TWA) | − 0.44** | − 0.32* |
Mean arterial pressure (TWA) | − 0.24 | − 0.16 |
Heart rate (TWA) | 0.16 | 0.00 |
ScvO2 (TWA) | − 0.13 | − 0.39** |
AutoMAPSE (single measurement) | − 0.34* | − 0.11 |
Ejection fraction | − 0.52** | − 0.16 |
Cardiac output | − 0.10 | − 0.15 |
P079 Continuous mitral annular plane systolic excursion monitored using transesophageal echocardiography and deep learning reflects ventriculo-arterial coupling
J Yu1, E Skogvoll 1, TD Tannvik2, AA Taskén3, B Grenne1, I Kirkeby-Garstad4, S Aakhus1
1Norwegian University of Science and Technology/St Olav’s Hospital, Department of Circulation and Medical Imaging/Department of Anesthesia and Intensive Care, Trondheim, Norway, 2St Olavs Hospital, Department of Anesthesia and Intensive Care, Trondheim, Norway, 3Norwegian University of Science and Technology, Department of Computer Science, Trondheim, Norway, 4Norwegian University of Science and Technology, Department of Circulation and Medical Imaging, Trondheim, Norway
P080 Evaluation of bias and trending ability of non-calibrated multi-beat analysis continuous cardiac output monitoring in critically patients
L Bitker1, I Noirot2, L Chauvelot2, M Mezidi2, F Dhelft2, M Gaillet2, H Yonis2, G Deniel2, JC Richard2
1Hôpital de la Croix Rousse, Hospices Civils de Lyon, Médecine Intensive - Réanimation, Lyon, France, 2Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
P081 Hemodynamic management and monitoring practices in intensive care units in Portugal: a national survey
FA Gonzalez1, JP Silva2, M Mourisco3, JJ Martins4
1Hospital Garcia de Orta, Intensive Care Medicine Department, Almada, Portugal, 2Hospital Vila Franca de Xira, Intensive Care Medicine Department, Lisboa, Portugal, 3Centro Hospitalar de Entre o Douro e Vouga, Intensive Care Medicine Department, Santa Maria da Feira, Portugal, 4Hospital de Braga, Intensive Care Medicine Department, Braga, Portugal
P082 Improving the governance of focused echocardiography on a district general hospital critical care unit
MI Smith, M Sheikh, P Parulekar
William Harvey Hospital, Critical Care, Ashford, UK
P083 Let us talk about ultrasound club: weekly peer-led teaching sessions on ultrasound in an intensive care unit
E Mclean, C Passalacqua, DE Samuel
London Northwest Healthcare NHS Trust, Intensive Care Unit, London, UK
P084 Setting up an echocardiography teaching and governance meeting within critical care in a district general hospital
M Sheikh, M Smith, P Parulekar
William Harvey Hospital, Critical Care, Ashford, UK
P085 Clinically framed analysis of the hypotension prediction index: comparison of methodological approaches
S Davies1, Z Jian2, D Sessler3, N Fleming4, M Mythen2, D Veelo5, T Scheeren2, M Sander6, M Cannesson7, F Hatib2
1York and Scarborough Teaching Hospitals NHS foundation Trust, York, UK, 2Edwards Lifesciences, Irvine, USA, 3Cleveland Clinic, Cleveland, Ohio, USA, 4UC Davis School of Medicine, Sacramento, CA, USA, 5Amsterdam University Medical Center, Amsterdam, Netherlands, 6University Hospital Giessen, Giessen, Germany, 7UCLA School of Medicine, Los Angeles, CA, USA
P086 Assessing the statistical impact of mathematical coupling of continuous map data to predict hypotension
F Hatib1, Z Jian1, S Davies2, M Mythen1
1Edwards Lifesciences, Critical Care, Irvine, USA, 2York Teaching Hospital National Health Service Foundation Trust, York, UK
P087 Derivation and validation of endotypes for hypotension using unsupervised deep learning
Z Jian1, X Liu1, J Settels1, K Kouz2, S Davies3, T Scheeren1, F Hatib1, B Saugel2
1Edwards Lifesciences, Irvine, USA, 2University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 3York Teaching Hospital National Health Service Foundation Trust, York, UK
P088 Elevated dipeptidyl peptidase 3 predicts morbidity and mortality in cardiogenic shock: pre-specified secondary analyses from the ACCOST-HH trial
M Karakas1, A Picod2, H Nordin2, T Zeller3, C Oddos2, K Santos4, D Jarczak5, A Mebazaa5, F Azibani2, S Kluge5
1University Medical Center Hamburg-Eppendorf, Department of Intensive Care Medicine, Hamburg, Germany, 2INSERM UMR-S 942 MASCOT, Paris, France, 3University Heart & Vascular Center Hamburg-Eppendorf, Hamburg, Germany, 44TEEN4 Pharmaceuticals, Hennigsdorf, Germany, 5University Medical Center Hamburg-Eppendorf, Hamburg, Germany
P089 Clinical observational study into mitochondrial oxygenation predicting ominous lactate in trajectory around abdominal surgery (COSMOPOLITAS)
LWJM Streng, CJ de Wijs, S Riemens, FA Harms, D Sneiders, BPL Wijnhoven, RJ Stolker, JNM IJzermans, EG Mik
Erasmus MC, Anesthesiology, Rotterdam, Netherlands
P090 Mitochondrial oxygenation monitoring and acute kidney injury risk in cardiac surgery: a prospective cohort study
CJ de Wijs1, LWJM Streng1, RJ Stolker1, M ter Horst1, EJ Hoorn2, EAF Mahtab3, EG Mik1, FA Harms1
1Erasmus MC, Anesthesiology, Rotterdam, Netherlands, 2Erasmus MC, Internal Medicine, Rotterdam, Netherlands, 3Erasmus MC, Cardiothoracic Surgery, Rotterdam, Netherlands
P091 Averaged versus persistent reduction in urine output to define oliguria in critically ill patients
C Monard1, NA Bianchi1, T Kelevina1, M Altarelli1, A Chaouch2, A Schneider1
1Centre Hospitalier Universitaire Vaudois, Service de Médecine Intensive Adulte, Lausanne, Switzerland, 2University of Lausanne, Department of Epidemiology and Health Systems, Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland
P092 Acute kidney injury in critically ill patients with COVID-19: a single-center cohort analysis
C Branco1, C Costa1, L Carvalho2, D Cabral2, A Gaspar2, C Candeias2, S Fernandes3, J Santos Silva2
1Centro Hospitalar Universitário Lisboa Norte, Division of Nephrology and Renal Transplantation, Department of Medicine, Lisboa, Portugal, 2Centro Hospitalar Universitário Lisboa Norte, Intensive Care Department, Lisboa, Portugal, 3Faculdade de Medicina da Universidade de Lisboa, Clínica Universitária Medicina Intensiva, Lisboa, Portugal
P093 Height-adjusted phase angle for 24 h-creatinine clearance estimation in immunocompromised ICU patients
P Vargas1, N Dreyse1, R Lopez1, M Cano-Cappellaci3, J Guerrero3, M San Martin4, M Barriga4, S Aracena4, M Roa1, J Montes1
1Clínica Alemana de Santiago Unidad de Paciente Crítico, Unidad de Paciente Critico, Santiago, Chile, 2Universidad de Chile, Physical Therapy Department Universidad de Chile, Santiago, Chile, 3Clínica Alemana de Santiago Unidad de Paciente Crítico, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile, 4Clinica Alemana, Servicio de Urgencias Clínica Alemana, Santiago, Chile
P094 Serum creatinine ratio as predictor of patient-centered long-term outcome after cardiac surgery
P Pickkers1, MC Kraan2, K Pardali2, A Shaw3, A Shenoi4, J Gerss5, A Zarbock6
1Radboudumc, Intensive Care, Nijmegen, Netherlands, 2AM-Pharma, AM-Pharma, Utrecht, Netherlands, 3Cleveland Clinic, Intensive Care and Resuscitation, Cleveland, USA, 4Boston Strategic Partners, Statistics, Boston, USA, 5Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany, 6University Hospital Münster, Dept. of Anesthesiology, Intensive Care and Pain Medicine, Münster, Germany
KDIGO-AKI (development) | sCrRatio (development) | KDIGO-AKI (validation) | sCrRatio (validation) | |
---|---|---|---|---|
Sensitivity | 78% (95% CI 75–80%) | 70% (95% CI 67–73%) | 53% (95% CI 43–63%) | 42% (95% CI 34–51%) |
Specificity | 52 (95% CI 50–53%) | 67% (95% CI 66–68%) | 77% (95% CI 72–81%) | 84% (95% CI 79–88%) |
PLR | 1.61 (95% CI 1.55–1.68) | 2.11 (95% CI 2.00–2.23) | 2.26 (95% CI 1.72–2.96) | 2.61 (95% CI 1.87–3.63) |
NLR | 0.43 (95% CI 0.39–0.48) | 0.45 (95% CI 0.41–0.49) | 0.61 (95% CI 0.50–0.76) | 0.69 (95% CI 0.59–0.81) |
PPV | 25% (95% CI 23–26%) | 33% (95% CI 31–35%) | 42% (95% CI 34–51%) | 47% (95% CI 38–55%) |
NPV | 92% (95% CI 91–93%) | 90% (95% CI 90–91%) | 83% (95% CI 79–88%) | 81% (95% CI 79–84%) |
Accuracy | 56% (95% CI 55–57%) | 67% (95% CI 66–75%) | 71% (95% CI 66–75%) | 73% (95% CI 69–78%) |
P095 Biomarkers to predict the need for renal replacement therapy in severe acute kidney injury (bioMARkers in acute Kidney injury settings to predict interventions and outcomes: the MARKISIO study)
K Chaïbi1, A Picod2, S Tubiana3, V Jullien4, S Placier5, J Quenot6, F Azibani2, A Mebazaa2, D Dreyfuss5, S Gaudry5
1Avicenne Hospital, Intensive Care Unit, Bobigny, France, 2Hôpital Lariboisière, INSERM UMR-S 942 MASCOT – Paris – Cité University, Paris, France, 3APHP Hôpital Bichat, Centre de Ressources Biologiques, Paris, France, 4APHP Hôpital Jean Verdier, Service de Pharmacologie, Bondy, France, 5Hôpital Tenon, Common and Rare Kidney Diseases, Sorbonne Université, INSERM, UMR-S 1155, Paris, France, 6François Mitterrand University Hospital, Réanimation Polyvalente, Dijon, France
P096 User experience (UX) study to evaluate clinical decision support system prototype supporting continuous kidney replacement therapy in a simulated ICU environment
LM Kunz1, M Metzger2, C Schäfer3, R Pohlmeier4, J Petrovic5, MT Nosch6
1Fresenius Medical Care Deutschland GmbH, Critical Care & Ventures, Bad Homburg, Germany, 2Marienhospital Bottrop gGmbH, Information Technology Department, Bottrop, Germany, 3Marienhospital Bottrop gGmbH, Nursing for Intensive Care Medicine, Bottrop, Germany, 4Fresenius Medical Care Deutschland GmbH, Global Medical Office, Bad Homburg, Germany, 5Fresenius Medical Care Deutschland GmbH, Market Access & Health Economics, Bad Homburg, Germany, 6Marienhospital Bottrop gGmbH, Anesthesiology and Intensive Care Medicine, Bottrop, Germany
P097 Troponin clearance via continuous renal replacement therapies in the ICU
S Boyd1, S Mason1, S Griffin1, C Keane1, E Deasy2, M Donnelly1, J Chevarria3, DM D´Arcy4, YP Kelly5
1Tallaght University Hospital, Department of Critical Care, Dublin 24, Ireland, 2Tallaght University Hospital, Department of Pharmacy, Dublin 24, Ireland, 3Tallaght University Hospital, Department of Nephrology, Dublin 24, Ireland, 4Trinity College Dublin, School of Pharmacy and Pharmaceutical Sciences, Dublin 2, Ireland, 5Tallaght University Hospital, Intensive Care, Dublin 24, Ireland
P098 Hypothermia associated with high-volume continuous renal replacement therapy: dependence on the method of warming blood and dialysis fluids
I Yovenko, D Gavrichenko
Medical Home Odrex, Department of Anesthesiology and Intensive Care, Odessa, Ukraine
P099 The use of the advanced organ support (ADVOS) hemodialysis system in cardiosurgical patients with end-stage shock helps to correct acidosis and to reduce vasopressor needs
V Walter1, E Hinrichs1, J Dreyer1, T Alloush1, A Perez Ruiz de Garibay2, G Warnecke1, W Sommer1, A Thiem1, B Panholzer3
1Universitätsklinikum Schleswig-Holstein Campus Kiel, Kiel, Germany, 2ADVITOS GmbH, München, Germany, 3Universitätsklinikum Schleswig-Holstein Campus Kiel, Cardiac Surgery, Kiel, Germany
P100 Regional citrate anticoagulation (RCA) for CVVHD in metformin associated lactic acidosis (MALA) patients. Comparison with population affected by severe metabolic acidosis due to isolated renal failure (RF)
A Casazza1, E Bellazzi2, D Ciprandi2, A Poretti2, R Preda2, D Spagna2, MP Storti2, R Vanzino2
1Ospedale Civile di Vigevano ASST Pavia, Anaesthesia and Intensive Care Vigevano, Vigevano, Italy, 2Ospedale Civile di Vigevano ASST Pavia, Vigevano, Italy
P101 Predictors of failure in withdrawing continuous renal replacement therapy in the ICU
JM Gil Perdomo1, I Gich Saladich2, A Núñez Reiz1, M Sánchez García1, E Calvo Manuel3, F Ortuño Andériz1
1Hospital Clínico San Carlos, Intensive Care Unit, Madrid, Spain, 2Hospital de la Santa Creu i Sant Pau, Clinic Epidemiology and Public Health, Barcelona, Spain, 3Hospital Clínico San Carlos, Internal Medicine, Madrid, Spain
OR (95% CI) | Model | Area under de curve | p value | |
---|---|---|---|---|
Day 0 diuresis (dL) | 0.93 (0.89–0.98) | A | 0.73 (0.60–0.86) | 0.003* |
2-h creatinine clearance (mL/min) | 0.95 (0.90–0.99) | B | 0.81 (0.67–0.95) | 0.001* |
Plasma creatinine ratio (day + 2/day 0) | 37.89 (3.67–391.05) | C | 0.86 (0.75–0.97) | 0.001* |
Duration of CRRT (days) | 1.29 (1.03–1.64) | D | 0.68 (0.53–0.82) | 0.027* |
A + B + C | 0.88 (0.77–1.00) | 0.001* | ||
A + B + C + D | 0.92 (0.83–1.00) | 0.001* |
P102 Predictive factors of success after weaning attempt of RRT (deciding on patients orientations after renal replacement therapy stopping: the DOORS study)
Y Akrour1, S Gaudry1, G Louis2, L Martin Lefevre3, D Titeca-Beauport4, B La Combe5, J Quenot6, D Dreyfuss1, K Chaïbi7
1Hôpital Tenon, Common and Rare Kidney Diseases, Sorbonne Université, INSERM, UMR-S 1155, Paris, France, 2CHR Metz-Thionville Hôpital de Mercy, Réanimation Polyvalente, Metz-Thionville, France, 3CHR Départementale La Roche Sur Yon, Réanimation Polyvalente, La Roche Sur Yon, France, 4CHU d’Amiens Picardie, Réanimation Polyvalente, Amiens, France, 5CH de Bretagne Sud, Réanimation Polyvalente, Lorient, France, 6François Mitterrand University Hospital, Réanimation Polyvalente, Dijon, France, 7Avicenne Hospital, Intensive Care Unit, Bobigny, France
P103 How to predict early hypophosphatemia in the ICU?
C Lauwers, L Langouche, J Gunst, A Pesonen, MP Casaer
KU Leuven, Laboratory of Intensive Care Medicine, Leuven, Belgium
P104 Prealbumin dynamic assessment for nutrition support effectiveness in critically ill patients
E Pardo1, M Jabaudon2, T Godet2, B Pereira3, D Morand4, E Futier2, E Le Cam5, MP Bonnet6, JM Constantin7
1Hôpital Saint-Antoine, Département Anesthésie-Réanimation, Paris, France, 2CHU de Clermont-Ferrand, Department of Perioperative Medicine, Clermont-Ferrand, France, 3CHU de Clermont-Ferrand, Biostatistics and Data Management Unit, Clermont-Ferrand, France, 4CHU de Clermont-Ferrand, Direction de la Recherche Clinique, Clermont-Ferrand, France, 5Hôpital Saint-Antoine, Département d’Anesthésie-Réanimation, Paris, France, 6Hôpital Armand Trousseau, Département Anesthésie-Réanimation, Paris, France, 7Hôpital Pitié-Salpêtrière, Département d’Anesthésie-Réanimation, Paris, France
P105 Hypokalemia during treatment of diabetic ketoacidosis. A retrospective analysis
AM Miller1, SD Darawshi2, MQ Qassum3, IH Hochberg2
1Rambam Medical Center, Medical ICU, Haifa, Israel, 2Rambam Medical Center, Endocrinology, Haifa, Israel, 3Rambam Medical Center, Cardiology, Haifa, Israel
Characteristic | Min K + < 3.5; N = 304 | Min K + ≥ 3.5; N = 152 | p value |
---|---|---|---|
Male | 129 (42.4%) | 81 (53.3%) | p < 0.036 |
Female | 175 (57.6%) | 71 (46.7%) | |
Minimal PH | 7.08 ± 0.14 | 7.15 ± 0.11 | p < 0.001 |
Maximal creatinine (mg/dL) | 2.18 ± 1.6 | 1.82 ± 1.36 | p = 0.011 |
ICU admission | 112 ± 36.8 | 21 ± 13.8 | p < 0.001 |
30 day mortality | 12 (7.9%) | 19 (6.3%) | p = 0.55 |
Mortality > 30 days | 51 (33.6%) | 81 (26.6%) | p = 0.13 |
P106 The association between duration of hyperglycemia above different glucose levels and 90-day mortality in critically ill patients: a retrospective cohort study
E Robinson1, L Statlender2, A Grossman3, H Duskin4, T Shochat5, M Hellerman Itzhaki2, G Fishman2, P Singer2, I Kagan2, I Bendavid2
1Rabin Medical Center - Beilinson Hospital, General Intensive Care Unit, Petah Tikva, Israel, 2Rabin Medical Center - Beilinson Hospital, Department of General Intensive Care, Petah Tikva, Israel, 3Rabin Medical Center - Beilinson Hospital, Department of Medicine B, Petah Tikva, Israel, 4Rabin Medical Center - Beilinson Hospital, Institute of Endocrinology, Petah Tikva, Israel, 5Rabin Medical Center - Beilinson Hospital, Statistical Consulting Unit, Petah Tikva, Israel
P107 Assessment of insulin requirements and glycemic control in adult patients on extracorporeal membrane oxygenation
J Camacho
Hennepin County Medical Center, Pharmacy, Minneapolis, USA
P108 Early macronutrient restriction is more commonly used in Belgian than in other European ICUs
K Dams1, D Glorieux2, E Gilbert3, N Serck4, X Wittebole5, P Druwé6, M Simon7, E De Waele8, JC Preiser9
1University Hospital Antwerp, Critical Care, Edegem, Belgium, 2Grand Hôpital de Charleroi, Intensive Care Unit, Charleroi, Belgium, 3Centre Hospitalier de Wallonie Picarde, Intensive Care Unit, Tournai, Belgium, 4Clinique Saint-Pierre, Intensive Care Unit, Ottignies, Belgium, 5Clinique Universitaire Saint-Luc, Department of Critical Care Medicine, Brussels, Belgium, 6Ghent University Hospital, Department of Intensive Care Medicine, Ghent, Belgium, 7Vivalia – Clinique Saint-Joseph, Intensive Care Unit, Arlon, Belgium, 8University Hospital Brussels, Department of Intensive Care Medicine, Brussels, Belgium, 9Hôpital Erasme, Intensive Care Unit, Brussels, Belgium
P109 Gastrointestinal complications in critical care patients: data from a single tertiary hospital ICU in Greece
M Papaioannou, D Daiou, E Eleftheriadou, S Bagdasarian, M Alevizaki, C Christou, A Lavrentieva
General Hospital of Thessaloniki "G. Papanikolaou", A ICU, Thessaloniki, Greece
P110 Untargeted metabolomics analysis of acute-phase energy metabolism in critically ill patients
A Yamamoto1, T Oshima2, T Oami1, S Ishida1, A Eguchi3, K Sakurai3, TA Nakada1
1Chiba University, Department of Emergency and Critical Care Medicine, Graduate School of Medicine, Chiba, Japan, 2Chiba University, Institute for Advanced Academic Research, Chiba, Japan, 3Chiba University, Center for Preventive Medical Sciences, Chiba, Japan
P111 Impact of nutritional therapy during intensive care unit admission on post intensive care syndrome and post-COVID-19 condition in patients with COVID-19: a multicenter prospective study
S Suganuma, K Kawabata, N Yokoyama, M Idei, S Kashiwagi, M Yokose, S Takaki, K Nakamura
Yokohama City University Hospital, Intensive Care, Yokohama-city, Japan
P112 The difference of resting energy expenditure by using predictive formulas and indirect calorimetry in Asia burn patients
HC Hu1, LT Chou2, HY Cho2, SW Lin1, KC Kao1
1Chang Gung Memorial Hospital, Department of Thoracic Medicine, Taoyuan, Taiwan, Republic of China, 2Chang Gung Memorial Hospital, Department of Respiratory Therapy, Taoyuan, Taiwan, Republic of China
P113 The effect of hypocaloric-high protein feeding critically ill adult patients with obesity: a systematic review and meta-analysis
A Alsuwaylihi1, P Skorepa2, Y Alhindi3, A Avery4, J Musson4
1University of Nottingham, Nottingham Digestive Diseases Centre, Division of Translational Medical Sciences, School of Medicine, University of Nottingham, Queen’s Medical Centre, Nottingham, UK, Nottingham, UK, 2Faculty of Military Health Sciences, University of Defence, Trebesska 1575, Department of Military Internal Medicine and Military Hygiene, Hradec Kralove, 500 02, Czech Republic, 3University of Nottingham, Clinical, Metabolic and Molecular Physiology, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Nottingham, UK, 4University of Nottingham, School of Biosciences, Division of Food, Nutrition & Dietetics, Nottingham, UK
P114 An automated electronic medical tool to recall nutritional intake and present feeding adequacy in the critically ill: it all starts with an excel file
L Buyle1, L de Hart2, Z Rosseel3, BG Jimenez Garcia4, L Leemans5, E De Waele4
1UZ Brussel, Department Clinical Nutrition, Jette, Belgium, 2UZ Brussel, Universitair Ziekenhuis Brussel (UZ Brussel), Department Clinical Nutrition, Jette, Belgium, 3UZ Brussel, Universitair Ziekenhuis Brussel (UZ Brussel), Department of Pharmacy, Jette, Belgium, 4UZ Brussel, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Department Clinical Nutrition, Research Cluster Development - Ageing and Pathology, Jette, Belgium, 5UZ Brussel, Vrije Universiteit Brussel (VUB), Rehabilitation Research (RERE), Jette, Belgium
P115 Nutritional adequacy in intensive care patients using daily checklist instrument: a retrospective analysis
RI Prado1, MT Tanita1, AS Larangeira1, LS Hirata2, LTQ Cardoso3, CMC Grion3
1University Hospital – Londrina State University, Critical Care, Londrina, Brazil, 2University Hospital – Londrina State University, Nutrition Department, Londrina, Brazil, 3University Hospital – Londrina State University, Department of Internal medicine, Londrina State University, Londrina, Brazil
P116 Optimal choice of parenteral nutrition in ICU patients treated with continuous venovenous hemofiltration
J Jonckheer1, W Pieteraerens2, L de Hart3, D Goethals4
1Universitair Ziekenhuis Brussel, Intensive Care, Jette, Belgium, 2Universitair Ziekenhuis Brussel, Department of Nursing and Midwifery Research Group (NUMID), Jette, Belgium, 3Universitair Ziekenhuis Brussel, Department of Clinical Nutrition and Dietetics, Jette, Belgium, 4Universitair Ziekenhuis Brussel, Department of Internal Medicine, Jette, Belgium
P117 A rare and deadly disease with a paradigm shift
C Oliveira Paulo1, C Gonçalves2, F Almeida3, J Lopes4, V Pereira1, R Gomes1, A Fernandes1
1Hospital Garcia de Orta, Intensive Care Unit, Almada, Portugal, 2Hospital Prof. Doutor Fernando Fonseca, Intensive Care Unit, Lisboa, Portugal, 3Unidade Local de Saúde do Baixo Alentejo, Intensive Care Unit, Beja, Portugal, 4Unidade Local de Saúde do Litoral Alentejano, Intensive Care Unit, Santiago do Cacém, Portugal
P118 The accuracy of new non-invasive intra-abdominal pressure measurement by physical examination and ultrasonography to diagnose intra-abdominal hypertension
C Achavanuntakul, P Sirilaksanamanon, T Thawitsri, P Bootjeamjai
King Chulalongkorn Memorial Hospital, Department of Anesthesiology, Bangkok, Thailand
P119 Demographic variables as predictors of clinical outcomes in patients undergoing liver transplantation
G Madrid1, AF Zuluaga1, A Montoya2, A Obando1, A Delgadillo1, A Pinilla1, F Raffan1, JF Parada-Márquez1
1Hospital Universitario Fundación Santa Fe de Bogotá, Anesthesiology, Bogotá, Colombia, 2Universidad de Los Andes, Faculty of Medicine Universidad de Los Andes, Bogotá, Colombia
Variable (n = 78) | ICU (n = 52) (66.67%) | Hospital ward (n = 26) (33.33%) | OR (95% CI) | p value |
---|---|---|---|---|
Sex (female) | 26 (50) | 11 (42.30) | 1.36 (0.52–3.52) | 0.522 |
Age (≥ 60 years) | 29 (55.77) | 13(50) | 1.26 (0.49–3.23) | 0.630 |
Weight (Kg)* | 68.98 (15.22) | 65.51 (11.59) | 1.01 (0.98–1.05) | 0.307 |
BMI | ||||
Overweight | 21 (40.38) | 10 (38.46) | 2.1 (0.11–37.12) | 0.613 |
Obese | 11 (21.15) | 2 (7.69) | 5.5 (0.23–128.96) | 0.290 |
Comorbidities ≥ 5 | 37(71.15) | 11 (42.30) | 3.13 (1.16–8.46) | 0.024 |
P120 Metabolic factors associated with ICU requirement in patients with liver transplant
G Madrid1, JF Parada-Márquez1, AF Zuluaga1, E Arango1, O Amaya1, J Barrios1, A Montoya2, M Gonzalez1, J Cortes1
1Hospital Universitario Fundación Santa Fe de Bogotá, Anesthesiology, Bogotá, Colombia, 2Universidad de Los Andes, Faculty of Medicine Universidad de Los Andes, Bogotá, Colombia
Variable | ICU (n = 52) | Hospital ward (n = 26) | p value |
---|---|---|---|
Perioperative pH | 7.36 (7.33–7.4) | 7.42 (7.38–7.44) | 0.0005 |
Perioperative base deficit | − 3.9 (− 6.9, − 1.7) | − 1.1 (− 3.9, 0.1) | 0.03 |
Perioperative sodium* | 138.45 (3.7) | 136.85 (3.2) | 0.07 |
Perioperative potassium | 4.1 (3.6–4.7) | 3.85 (3.4–4.3) | 0.18 |
Perioperative bicarbonate* | 20 (3) | 22 (2.9) | 0.005 |
Perioperative CO2 | 36 (34–38) | 35.5 (34–38) | 0.78 |
Preoperative albumin | 3.2 (2.83,3.7) | 3.3 (2.8–3.6) | 0.883 |
P121 Perioperative fluids and blood products: determinants of intensive care unit admission in liver transplant patients
G Madrid1, JF Parada-Márquez1, AF Zuluaga1, MC Escobar1, AC Gomez1, J Navarro1, A Montoya2, J Cortes1, C Ceballos1
1Hospital Universitario Fundación Santa Fe de Bogotá, Anesthesiology, Bogotá, Colombia, 2Universidad de Los Andes, Faculty of Medicine Universidad de Los Andes, Bogotá, Colombia
P122 Transfusion of blood derivatives and their impact on the length of stay in patients undergoing hepatectomy
G Madrid1, AF Zuluaga1, JF Parada1, A Montoya2, E Arango1, L Ferrer1, C Guerra1, D Diaz1
1Hospital Universitario Fundación Santa Fe de Bogotá, Anesthesiology, Bogotá, Colombia, 2Universidad de los Andes, Universidad de los Andes, Bogotá, Colombia
GW (N:40) Transfusion | GW (N:40) Transfusion | ICU (N: 22) Transfusion | ICU (N: 22) Transfusion | |
---|---|---|---|---|
N: 62 | YES (N:8) N:(LS(IQR))* | NO(N:32) N:(LS(IQR))* | YES (N:7)N:(LS(IQR))* | NO N:(LS(IQR))* |
Sex: (M vs. F) | N:3(2(0–9)) versus N:5(5(5–5)) *0.56 | N: 17(3(0–5)) versus N: 15(3(1–4)) *0.56 | N: 1 (264) versus N:6(48(29–96)) *0.7 | N:7(27(1–50)) versus N:8(26(19–33.5)) *0.7 |
Age: (60 years) | N:1(1) versus N:7(5(3–6))*0.78 | N:12(3(1–5)) versus N:20(2.5(1–4)) *0.78 | N:1(50) versus N:6(71(29–216)) versus | N:7(27(0–38)) versus N:8(26(23–39)) |
Weight (Kg) | 68.5(SD 13.43) *0.37 | 67.71(SD 9.63)*0.37 | 69 (SD 17.31)*0.27 | 66.6 (SD15.31)*0.27 |
BMI: (normal weight vs. overweight vs. obese) | N:5(5 (5–6)) versus N:2(2.5(0–5)) versus N:1(3)*0.98 | N:18(2(0–5)) versus N:13(3(2–4)) versus N:1(3)*0.98 | N:2(39.5(29–50))/N:2(36(26–46)/N:3(216(96–264)0.04 | N:8(24(7–33))/N:4(27(IQR13-27))/N:3(50(22–58)0.046 |
Comorbidities: (less than 3 vs. 3 or more) | N:5(5(3–5)) vs. N:3(5 (0–9))*0.9 | N:14 (3(2–4)) versus N:18(2.5(1–5)) *0.9 | N:6(71(29–216)) versus N:1(50)*0.22 | N:6(27.5(27–50)) versus N:9(22 (1–29))*0.22 |
Pathology: (metastasis vs. hepacarci vs. other:) | N:3(6(5–9)) versus N:3(3(0–5)) versus N:2(2.5(0–5))*0.78 | N:12(2 (0–4)) versus N:9(3(1–4)) versus N:11(3(2–5)) *0 | N:3(96(50–264)) versus N:0(1) versus N:4(37.5(27.5–131)) | N:10(26(0–28)) versus N:1(50) versus N:4(30(18–55))*0.61 |
P123 What is the FiO2 delivered between a non-rebreathing mask (NRM), a combined NRM and nasal cannula, and a high flow nasal cannula? A bench study
L Rosier1, J Jacques2, M Verde2, G Sauvage3, F Duprez4
1Emergency Care and URICE Epicura Hospital Hornu Belgium, Emergency Care and URICE, Hornu, Belgium, 2Epicura, Emergency, Hornu, Belgium, 3Haute École Condorcet, Haute École Condorcet, Tournai, Belgium, 4Epicura, ICU, Hornu, Belgium
P124 Rescue helmet noninvasive ventilation after high-flow oxygen failure in COVID-19 patients with do-not-intubate order
M Cesarano, J Vargas, D Settanni, F Del Tedesco, ES Tanzarella, G Pintaudi, SL Cutuli, G De Pascale, M Antonelli, DL Grieco
Fondazione Policlinico Universitario A. Gemelli IRCCS, Department of Emergency, Intensive Care Medicine and Anesthesia, Rome, Italy
P125 Predictors of non-invasive ventilation failure for community acquired pneumonia: a retrospective cohort study
A Watson1, D Fritche1, T Roe1, C Thomas1, K Saeed2, A Dushianthan1
1University Hospital Southampton, General Intensive Care Unit, Southampton, UK, 2University Hospital Southampton, Department of Microbiology, Southampton, UK
P126 Impact of ultrasound settings on B-lines: an exploratory study in mechanically ventilated patients
J Leote1, A Gonçalves2, J Fonseca2, D Guerreiro2, H Dias2, I Ribeiro2, R Meireles2, R Varudo1, J Bacariza1, F Gonzalez1
1Hospital Garcia de Orta, EPE, Almada, Critical Care, Almada, Portugal, 2Escola Superior de Tecnologia da Saúde de Lisboa, Instituto Politécnico de Lisboa, Lisboa, Portugal
P127 Total signal intensity of ultrasound laboratory vertical artifacts: a semi-quantitative tool
J Leote1, R Loução2, M Aguiar3, M Tavares3, P Ferreira3, T Muxagata3, D Guerreiro3, H Dias3, J Bacariza4, F Gonzalez4
1Hospital Garcia de Orta, EPE, Almada, Critical Care, Almada, Portugal, 2 University Hospital Cologne, Centre for General Neurosurgery, Cologne, Germany, 3Escola Superior de Tecnologia da Saúde de Lisboa, Instituto Politécnico de Lisboa, Lisboa, Portugal, 4Hospital Garcia de Orta, EPE, Almada, Portugal
P128 Sidestream-dark field videomicroscopy for the in vivo evaluation of the pulmonary alveoli and microcirculation in mechanically ventilated pigs
E Casarotta1, C Di Bella2, S Zuccari3, M Galosi2, F Serino2, A Angorino2, AM Tambella2, A Donati1, E Damiani1
1Università Politecnica delle Marche, Department of Biomedical Sciences and Public Health, Ancona, Italy, 2Università di Camerino, School of Biosciences and Veterinary Medicine, Matelica, Italy, 3Azienda Ospedaliero-Universitaria delle Marche, Emergency Department, Ancona, Italy
P129 Augmenting simulated pressure support ventilation data using adversarial learning for asynchrony detection
THGF Bakkes1, L Hao2, A van Diepen3, N Chennakeshava3, RA Bouwman4, AJR De Bie Dekker4, P Woerlee3, F Mojoli5, M Mischi3, S Turco3
1Eindhoven University of Technology, Electrical Engineering, Eindhoven, Netherlands, 2Systems Engineering Research Institute, Beijing, China, 3Eindhoven University of Technology, Eindhoven, Netherlands, 4Catharina Hospital, Eindhoven, Netherlands, 5Policlinico San Matteo, Pavia, Italy
Metric | Simulated data | Generated data |
---|---|---|
Recall | 94.8% | 91.4% |
Precision | 98.5% | 99.3% |
RMSE In | 0.099 s | 0.085 s |
RMSE Ex | 0.097 s | 0.073 s |
P130 Examining social determinants of care in ventilated patients in critical care
G Angelotti1, J Gallifant2, J Byers3, P Morandini1, A Carrel4, N Dundas5, LL Weishaupt6, LM Hampton5, T Wang7, LA Celi8
1IRCCS Humanitas Research Hospital, Artificial Intelligence Center, Milan, Italy, 2Massachusetts Institute of Technology, Laboratory for Computational Physiology, Cambridge, MA, USA, 3Beth Israel Deaconess Medical Center, Respiratory Therapy, Boston, MA, USA, 4Imperial College London, London, UK, 5Massachusetts Institute of Technology, Electrical Engineering and Computer Science, Cambridge, MA, USA, 6Harvard & MIT, Health Sciences and Technology, Cambridge, MA, USA, 7Ronald Reagan UCLA Medical Center, Los Angeles, USA, 8Beth Israel Deaconess Medical Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Boston, MA, USA
P131 Mechanical ventilation strategy during cardiopulmonary bypass. Impact on outcomes and pulmonary complications in the intensive care unit
I Vakhrushev, T Li, A Kuanyshbek, S Tulegenov, P Bukirova
National research cardiac surgery center, CICU, Astana, Kazakhstan
Ventilated group (n = 25) [mean ±] | Non ventilated group (n = 27) [mean ±] | p value (95% CI) | |
---|---|---|---|
PaO2/FiO2 | 315.33 ± 67.31 | 283.86 ± 76.26 | 0.06 |
Driving pressure | 10.13 ± 2.76 | 8.75 ± 3.1 | 0.03 |
MV | 6.48 ± 3.15 | 8.05 ± 2.93 | 0.06 |
PCO2 | 43.17 ± 17.82 | 39.26 ± 21.64 | 0.27 |
ARDS | 0 | 1 (3.7%) | |
Atelectasis | 5 (20%) | 16 (59.2%) |
P132 Open-lung ventilation versus no ventilation during cardiopulmonary bypass in an innovative animal model of heart transplantation
SM Colombo1, V Karnik1, L Rickards2, L See Hoe1, K Wildi1, M Passmore1, J Suen1, D McGriffin3, J Fraser1, G Li Bassi1
1Critical Care Research Group, Brisbane, Australia, 2Sunshine Coast Hospital, Sunshine Coast, Australia, 3Alfred Hospital, Melbourne, Australia
P133 Spontaneous-breathing trials before weaning from mechanical ventilation in French ICUs: the multicenter WAVE cohort study
L Barrot1, G Besch2, F Audibert1, O Abou-Arab3, N Mongardon4, PG Guinot5, A Tran Dinh6, C Roger7, W WAVE study group8
1Jean Minjoz Hospital, Anesthesia and Intensive Care, Besancon, France, 2Jean Minjoz Hospital, Besancon, France, 3CHU Amiens, Anesthesia and Intensive Care, Amiens, France, 4 CHU Créteil, Anesthesia and Intensive Care, Paris, France, 5CHU Dijon, Anesthesia and Intensive Care, Dijon, France, 6Institut Mutualiste Montsouris, Anesthesia and Intensive Care, Paris, France, 7CHU Nîmes, Anesthesia and Intensive Care, Nîmes, France, 816 ICUs, Anesthesia and Intensive Care, 14 cities, France
T-Piece | PSV | Statistic T-Piece versus PSV | Total n (%) | |
---|---|---|---|---|
SBT type, n (%)* | 119 (46.5) | 137 (53.5) | p = 0.02 | 256 |
SBT duration, mean (min) $ | 37 ± 18 | 64 ± 55 | p < 0.001 | 254 |
SBT success, n (%)∏ | 91 (76.5) | 118 (86.1) | p = 0.001 | 219 |
Extubation during the day following SBT success | 60 (65.9%) | 100 (84.7%) | p < 0.001 | 160 (76.6%) |
Extubation during 24–48 h following SBT success | 16 (17.6%) | 4 (3.4%) | p < 0.001 | 20 (9.5%) |
Extubation more than 48 h following SBT success | 4 (4.4%) | 12 (10.2%) | 16 (7.7%) | |
ABG during SBT, n (%) | 88 (73.9) | 95 (63.9) | p = 0.07 | 183 (71.2%) |
P134 A new method for estimating spontaneous breathing effort using changes in central venous pressure: a pig model study
M Kyogoku1, T Miyasho2, Y Endo3, Y Inata4, M Takeuchi4
1Osaka Women’s and Children’s Hospital, Intensive Care, Osaka, Japan, 2Rakuno Gakuen University, Hokkaido, Japan, 3Feinstein Institutes for Medical Research, NY, USA, 4Osaka Women’s and Children’s Hospital, Osaka, Japan
P135 Comparison of occlusion pressures and P0.1 in neuro and non-neuro patients considered for a spontaneous breathing trial: a single center prospective pilot study
S Slagmulder1, W Baas1, LMA Heunks2, M van der Jagt1, AH Jonkman1
1Erasmus MC, Intensive Care, Rotterdam, Netherlands, 2Radboud UMC, Intensive Care, Nijmegen, Netherlands
P136 Protocolized versus non-protocolized mechanical ventilation weaning in patients intubated for toxic coma: a randomised study
A Bedhiafi1, A Ben Jazia2, H Ben Ghezala2, N Brahmi2
1Mahmoud Yaacoub Center of Emergency Medicine and Intensive Care, Intensive Care Department, Tunis, Tunisia, 2Mahmoud Yaacoub Center of Emergency Medicine and Intensive Care, Tunis, Tunisia
Variable | Protocolized weaning n = 26 | Non-protocolized weaning n = 26 | p |
---|---|---|---|
Extubation success, n (%) | 25 (96.1) | 24 (92.3) | 0.552 |
IMV duration (hours) | 40.9 ± 19.2 | 37 ± 13.4 | 0.403 |
LOS (days) | 3.1 ± 2.2 | 3.1 ± 1.7 | 0.955 |
O2 after extubation, n (%) | 3 (11.5) | 5 (19.2) | 0.213 |
Aspiration pneumonia | 12 (46.1) | 14 (53.8) | 0.809 |
Mortality at 28 days, n (%) | 0 | 0 | > 0.99 |
P137 Towards a digital patient twin for ICU ventilation
C Hennigs1, J Sauer1, A Bigalke2, T Hardel3, P Rostalski4
1Universität zu Lübeck, Institut of Electrical Engineering in Medicine, Lübeck, Germany, 2Universität zu Lübeck, Institute of Medical Informatics and Drägerwerk AG & Co. KGaA, Lübeck, Germany, 3Center for Anesthesiology and Intensive Care Medicine, Clinic for Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 4Universität zu Lübeck, Institut of Electrical Engineering in Medicine and Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Lübeck, Germany
P138 Are there abilities to improve the safety and protectiveness of mechanical ventilation in obese patients by using “intellectual” modes?
R Komnov1, A Eremenko1, E Koshek1, P Titov1, S Gerasimenko1, A Urbanov1, P Polyakova1, M Fominukh2, A Alferova1, D Fomina1
1Petrovsky National Research Centre of Surgery, Post-Cardiac Surgery Intensive Care Unit, Moscow, Russian Federation, 2Petrovsky National Research Centre of Surgery, Moscow, Russian Federation
Variable | INTELLiVENT-ASV® group (n = 40) | Control group (n = 40) | p |
---|---|---|---|
BMI (body mass index), kg/m2 | 33.5 (32–35) | 33.5 ± 2 | 0.5006 |
∆P (driving pressure), cmH2O | 7 (6 − 8) | 9 (8 − 10) | < 0.0001 |
Tidal volume (Vt), mL/kg/PBW | 6.4 ± 0.7 CI mean 95% (6.2 − 6.6) | 8.6 ± 1.3 CI mean 95% (8.1 − 9.0) | < 0.0001 |
PEEP, cmH2O | 7 (6 − 8) | 9 (7 − 10) | 0.0001 |
FiO2 | 28 (24 − 30) | 35 (30 − 39) | < 0.0001 |
Mechanical power, J/min | 9 ± 3 | 12 (10 − 15) | < 0.0001 |
Ratio PaO2/FiO2 | 332 ± 51 CI mean 95% (316 − 349) | 316 ± 58 CI mean 95% (297 − 334) | 0.1746 |
P139 The effect of positive end-expiratory pressure on pulmonary vascular resistance depends on alveolar recruitability in acute respiratory distress syndrome
S Cappio Borlino, J Hagry, C Lai, E Rocca, G Fouqué, M Fasan, R Shi, T Pham, JL Teboul, X Monnet
1Université Paris-Saclay, Hôpital de Bicêtre, Service de Médecine Intensive-Réanimation, Le Kremlin-Bicêtre, France
P140 A method for personalized reconstruction of electrical impedance tomography static images
I Minev
Medical University of Plovdiv, Department of Anaesthesiology, Emergency and Intensive Care Medicine, Plovdiv, Bulgaria
P141 Differential effects of mechanical power on mortality among male and female critically ill patients
D von Wedel1, S Redaelli1, M Fosset1, D Shay2, D Talmor1, ELV Costa3, MBP Amato3, B Jung1, EN Baedorf-Kassis4, MS Schaefer.1
1Beth Israel Deaconess Medical Center, Harvard Medical School, Department of Anesthesia, Critical Care and Pain Medicine, Boston, USA, 2Harvard T.H. Chan School, Department of Epidemiology, Boston, USA, 3University of Sao Paolo, Cardiopulmonary Department, Sao Paolo, Brazil, 4Beth Israel Deaconess Medical Center, Harvard Medical School, Department of Pulmonary and Critical Care Medicine, Boston, USA
P142 Exploring non-invasive estimation of respiratory compliance during pressure support using respiratory oscillometry: a feasibility study
A Keymolen1, MC Van Malderen2, A Marchal1, B van den Elshout3, G Vandersteen1, J Lataire1, J Jonckheer.2
1Vrije Universiteit Brussel, Department of Fundamental Electricity and Instrumentation, Elsene, Belgium, 2Universitair Ziekenhuis Brussel, Department Intensive Care, Jette, Belgium, 3Demcon, Macawi Respiratory Systems, Best, Netherlands
P143 Improving the estimation of respiratory mechanics parameters by using an extended equation of motion
A van Diepen1, THGF Bakkes1, AJR De Bie Dekker2, RA Bouwman2, PH Woerlee3, S Turco3, M Mischi.3
1Technische Universiteit Eindhoven, Electrical Engineering, Eindhoven, Netherlands, 2Catharina Ziekenhuis, Eindhoven, Netherlands, 3Technische Universiteit Eindhoven, Eindhoven, Netherlands
P144 Greater brain activity and connectivity induced by phrenic nerve stimulation in moderate ARDS patients
T Bassi1, E Rohrs2, M Parfait3, S Reynolds2, J Mayaux3, M Decavele3, T Similowski3, A Demoule3, M Dres3
1Lungpacer Medical Inc., Critical Care, Burnaby, Canada, 2Simon Fraser University, Burnaby, Canada, 3Sorbonne Université, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France
P145 Association between driving pressure and mortality in very old patients with acute respiratory distress syndrome
E Papoutsi, K Gkirgkiris, S Gkoufas, I Dimopoulou, A Kotanidou, II Siempos
National and Kapodistrian University of Athens Medical School Athens, First Department of Critical Care Medicine and Pulmonary Services, Athens, Greece
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P146 Identification of ARDS subphenotypes through artificial intelligence: approaching personalized medicine
G Meza-Fuentes, MA Retamal, M Barbé, I Sánchez-Barraza, I Delgado, R López
Universidad del Desarrollo, Instituto de Ciencias e Innovación en Medicina, Santiago, Chile
Variable | Subphenotype 1 (n = 172) | Subphenotype 2 (n = 52) | p value |
---|---|---|---|
Mechanical power (J/min) | 17.21 (14.11–19.84) | 21.61 (17.58–29.09) | < 0.001* |
Tidal volume (mL/kg/PBW) | 4.37 (4.02–4.82) | 3.84 (2.96–4.59) | < 0.001* |
Driving pressure (cmH2O) | 10 (8–11) | 11 (10–12) | < 0.001* |
Total respiratory rate (rpm) | 24 (20–26) | 30 (26–36) | < 0.001* |
VD/VT | 0.5 (0.43–0.57) | 0.62 (0.54–0.73) | < 0.001* |
EtCO2 (mmHg) | 30.5 (33–35.5) | 36 (34–41) | < 0.001* |
28-Day Mortality | 16 (9.3%) | 11 (21.15%) | 0.021* |
P147 Exploration of COVID-19 associated bradycardia using heart rate variability analysis in a case–control study of ARDS patients
H Dumargne1, H Patural2, F Charbonnieras3, D Charier4, C Biscarrat5, M Chivot5, L Argaud5, M Cour5, A Dargent1
1Hospices Civils de Lyon, Hôpital Lyon Sud, Service d’Anesthésie-Réanimation Médecine Intensive-Réanimation, Pierre Bénite, France, 2Centre Hospitalier Universitaire de Saint-Etienne, Service de Réanimation Pédiatrique, Saint-Etienne, France, 3Hospices Civils de Lyon, Hôpital de la Croix Rousse, Unité de Soins Intensifs Cardiologiques, Lyon, France, 4Centre Hospitalier Universitaire de Saint-Etienne, Service d’Anesthésie-Réanimation, Saint-Etienne, France, 5Hospices Civils de Lyon, Hôpital Edouard Herriot, Service de Médecine Intensive-Réanimation, Lyon, France
Heart Rate Variability | All ARDS (n = 43) | C-ARDS (n = 24) | NC-ARDS (n = 19) | p value |
---|---|---|---|---|
Heart rate (bpm) | 77 [57–100] | 60 [53–72] | 101 [91–112] | < 0.001 |
RR interval (ms) | 778 [600–1046] | 1004 [836–1142] | 595 [538–661] | < 0.001 |
SDRR (ms) | 15 [9–36] | 25 [14–46] | 10 [7–18] | 0.002 |
VLF (ms) | 60 [17–164] | 108 [67–257] | 19 [3.9–42] | < 0.001 |
LF (ms) | 10 [3.0–29] | 15 [10–69] | 3.0 [0.71–9.0] | < 0.001 |
HF (ms) | 22 [7.7–64] | 31 [18–128] | 9.1 [4.0–27] | < 0.001 |
LF/HF ratio | 0.36 [0.13-0.71] | 0.45 [0.32-0.87] | 0.18 [0.09-0.44] | 0.018 |
P148 Biomarkers of alveolocapillary membrane injury in COVID-19 related ARDS: a pilot study
A Andrijevic, U Batranovic, V Carapic, S Gavrilovic, J Matijasevic, S Milic, D Nedeljkov
Institute for Pulmonary Diseases of Vojvodina, Intensive Care Unit, Sremska Kamenica, Serbia
COVID-19 survivors at day 28, n = 13 | COVID-19 non-survivors at day 28, n = 23 | |
---|---|---|
C-reactive protein (mg/mL) median, IQR | 157 (141.1) | 113.5 (108.5) |
Procalcitonin (ng/mL) median, IQR | 0.22 (0.7) | 0.35 (1.18) |
Neutrophil/lymphocyte ratio median, IQR | 13 (18.6) | 15.8 (17.1) |
PaO2/FiO2 median, IQR | 77 (104) | 83 (38) |
PEEP median, IQR | 10 (4) | 12 (2) |
Driving pressure median, IQR | 13 (6) | 12 (5) |
P149 Compliance of the respiratory system in patients with COVID-19 and non-COVID-19 ARDS
F Righetti1, E Colombaroli2
1Intensive Care Unit, Emergency Department, San Bonifacio, Verona, Italy, 2Intensive Care Unit, San Bonifacio, Verona, Italy
P150 Analysis of ventilation-perfusion mismatch by electrical impedance tomography and the severity of experimental lung injury
I Marongiu1, E Spinelli1, A Damia2, F Damarco3, L Rosso2, M Battistin4, S Oldoni4, G Lopez5, V Vaira2, T Mauri2
1Fondazione IRCCS Ca´ Granda Ospedale Maggiore Policlinico, Department of Anesthesia, Critical Care and Emergency, Milan, Italy, 2University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy, 3Fondazione IRCCS Ca´ Granda Ospedale Maggiore Policlinico, Division of Thoracic Surgery and Lung Transplantation, Milan, Italy, 4Fondazione IRCCS Ca´ Granda Ospedale Maggiore Policlinico, Center for Preclinical Research, Milan, Italy, 5University of Milan, Division of Pathology, Milan, Italy
P151 Volume of recruitment as a predictor of lung stress and mortality in acute respiratory distress syndrome patients: reanalysis of a multicenter international randomized clinical trial
A Santarisi1, A Suleiman1, S Redaelli1, D Talmor1, V Goodspeed1, S Harrison1, JR Beitler2, E Baedorf Kassis3
1Beth Israel Deaconess Medical Center, Department of Anesthesia, Critical Care and Pain Medicine, Boston, USA, 2Columbia University College of Physicians & Surgeons, Center for Acute Respiratory Failure and Division of Pulmonary, Allergy, and Critical Care Medicine, New York, USA, 3Beth Israel Deaconess Medical Center, Department of Pulmonary, Critical Care & Sleep Medicine, Boston, USA
P152 Association between lung mechanics and the development of acute kidney injury in ARDS patients
I Andrianopoulos1, P Kremmydas2, E Papoutsi2, I Siempos2, S Kokkoris2
1University Hospital of Ioannina, Intensive Care Unit, Ioannina, Greece, 2Evangelismos Hospital, National and Kapodistrian University of Athens Medical School, First Department of Critical Care Medicine and Pulmonary Services, Athens, Greece
P153 Comparison of the effectiveness of awake-prone positioning and high-flow nasal oxygen in patients with COVID-19-related acute respiratory failure between different waves
N Fuentes1, M Olmos1, M Busico2, A Gallardo3, A Vitali4, J Quintana5, H Kakisu1, B Ferreyro6, ME González1, M Esperatti1
1Hospital Privado de Comunidad, Critical Care Unit, Mar del Plata, Argentina, 2Clínica Olivos SMG, Buenos Aires, Argentina, 3Sanatorio Clínica Modelo de Morón, Critical Care Unit, Buenos Aires, Argentina, 4Sanatorio de la Trinidad Palermo, Critical Care Unit, Buenos Aires, Argentina, 5Clínica Olivos SMG, Critical Care Unit, Buenos Aires, Argentina, 6Interdepartmental Division of Critical Care Medicine, University of Toronto, Critical Care Unit, Toronto, Canada
P154 Hierarchical clustering to identify phenotypes of prone position responsiveness in ARDS patients
M Fosset1, S Redaelli1, D von Wedel1, A Suleiman1, R Munoz-Acuna1, J Josse2, EN Baedorf-Kassis3, MS Schaefer1, B Jung1
1Beth Israel Deaconess Medical Center, Harvard Medical School, Department of Anesthesia, Critical Care and Pain Medicine, Boston, USA, 2Desbrest Institute of Epidemiology and Public Health, PreMeDICaL, Montpellier, France, 3Beth Israel Deaconess Medical Center, Harvard Medical School, Department of Pulmonary and Critical Care Medicine, Boston, USA
P155 Duration of extracorporeal membrane oxygenation management and prognosis of patients with coronavirus disease 2019 complicated by air leak syndrome
Y Izutani, K Muranishi, S Morimoto, J Maruyama, S Ninomiya, R Kato, R Yuge, T Kitamura, H Ishikura
Fukuoka University Hospital, Emergency and Critical Care Center, Fukuoka-shi, Japan
P156 Data-driven clinical decision support system applied to intensive care medicine: study in patients with SARS-CoV-2 pneumonia treated with ECMO
F Ribeiro1, JM Sanches1, JR Ribeiro2
1Institute for Systems and Robotics, Instituto Superior Tecnico, Lisbon, Portugal, 2CHLN, ECMO Centre, Intensive Care Department, University Hospital Santa Maria, Lisbon, Portugal
Metrics\Model | SVM (Linear) | SVM (Polynomial) | SVM (Radial basis function) | RF |
---|---|---|---|---|
Precision | 0.9567 | 0.9918 | 0.9767 | 0.9959 |
Recall | 0.9644 | 0.9526 | 0.9526 | 0.9565 |
F!-score | 0.9606 | 0.9718 | 0.9659 | 0.9758 |
AUROC | 0.9807 | 0.9906 | 0.9903 | 0.9938 |
AUPRC | 0.9922 | 0.9962 | 0.9961 | 0.9973 |
P157 Impact of obesity on outcomes in patients receiving extracorporeal membrane oxygenation: a systematic review and meta-analysis
WWS Ng1, KC Leung2, RWH Hui3, P Yeung Ng4, CW Ngai1, SWC Sin4
1Queen Mary Hospital, Adult Intensive Care Unit, Hong Kong, Hong Kong, SAR China, 2West London Renal and Transplantation Center, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK, 3Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong, SAR China, 4Critical Care Medicine Unit, The University of Hong Kong, Hong Kong, Hong Kong, SAR China
P158 Motility of neutrophil granulocytes in patients with ECMO
JM Methfessel1, NS Staschik1, FH Herbstreit1, TB Brenner1, AK Kraus2, ZC Cibir2, MG Gunzer2, S Dubler3
1Department of Anaesthesiology and Intensive Care, Essen, Germany, 2Institute for Experimental Immunology and Imaging, Essen, Germany, 3Department of Anaesthesiology and Intensive Care, University Hospital Essen, Essen, Germany
P159 Extended pre-ECMO mechanical ventilation: good outcome, huge burden
J Graf1, R Pérez-Araos2, P Vargas3, R López1, R Agliati1
1Clínica Alemana de Santiago, Departamento de Paciente Critico, Santiago, Chile, 2Clínica Alemana de Santiago, Facultad de Medicina Clínica Alemana - Universidad del Desarrollo, Santiago, Chile
Characteristic | Early connection (≤ 7 days) n = 33 | Delayed connection (> 7 days) n = 19 | p value |
---|---|---|---|
Pre-ECMO MV, days | 2 [1–4] | 12 [9–15] | 0.001 |
COVID-19 | 52% | 84% | 0.035 |
APACHE II, points | 11 [7.5–17.5] | 12 [8–14] | 0.492 |
RESP score, points | 2 [0–4] | 1 [-1–4] | 0.344 |
Lung injury score, points | 3.25 [2.75–3.5] | 3 [2.5–3.5] | 0.430 |
PEEP, cmH2O | 11 [7–14] | 5.5 [4.8–10.8] | 0.026 |
Respiratory rate, bpm | 30 [24.8–37] | 38 [31.5–41] | 0.021 |
P160 The advanced organ support (ADVOS) hemodialysis system balances blood pH within 24 h in patients with multiple organ failure and hypercapnic acidosis
T Lahmer1, J Honigschnabel2, A Perez Ruiz de Garibay3, J Erber1, M Dibos1, S Rasch1
1Klinik und Poliklinik für Innere Medizin II, Klinikum rechts der Isar der Technischen Universität München, 2Technische Universität München, Munich, Germany, 3ADVITOS GmbH, Medical Research, Munich, Germany
P161 Analysis of the clinical effects of different nebulized inhalation devices on nurses´ inhalation exposure
Z Qin, HJ Lin
The First hospital of Jilin University, Respiratory Department, Changchun, China
P162 Diagnosis and management of tracheoesophageal fistula in ICU
S Tsoukala, N Rapti, M Zervos, T Gkaniatsou, T Melissopoulou, D Xanthis, P Vernikos
GNA Laiko, Athens, Greece
Causes (number) | Mean duration (days) | Yes/No (number) | GCS≤8/ > 8 | |
---|---|---|---|---|
Hospitalization | Acute respiratory failure: 7, Stroke: 1 | 116.5 | – | – |
Tracheostomy | – | 98.1 | 8/0 | – |
Nasogastric tube | – | – | 8/0 | – |
Ventilatory Support | – | – | 8/0 | – |
Level of consciousness | – | – | – | 2/6 |
P163 From the intensive care unit to ward services: a follow-up study by a tracheostomy team
J Nogueira, F Sequeira, E Germano, R Alves, R Freitas, P Martins
Centro Hospitalar e Universitário de Coimbra, Intensive Care Medicine, Coimbra, Portugal
No follow-up group (N = 25) | TT follow-up group (N = 17) | Total (N = 42) | p | |
---|---|---|---|---|
Age (years) | 64 [48–69] | 62 [52–73] | 62 [49–69] | 0.847 |
Male sex, n (%) | 22 (88%) | 10 (58.8%) | 32 (76.2%) | 0.062 |
Charlson score | 3 [1–4] | 2 [2–3] | 2 [1–3] | 0.675 |
Neurological disorders | 19 (76%) | 14 (82.4%) | 33 (78.6%) | 0.716 |
Mechanical ventilation duration (days) | 23 [13–30] | 20 [15–24] | 20 [13–25] | 0.390 |
Orotracheal intubation duration (days) | 16 [13–19] | 16 [13–19] | 16 [13–19] | 0.690 |
ICU length of stay (days) | 26 [20–35] | 24 [17–28] | 25 [18–31] | 0.149 |
P164 Innate immune characteristics of COVID pneumonia: impact of the period of the pandemia
SP Chachali, K Leventogiannis, K Katrini, E Giamarellos-Bourboulis, N Antonakos
National and Kapodistrian University of Athens, 4th Department of Internal Medicine, Medical School, Athens, Greece
P165 Postmortem analyses of myocardial microRNA expression in sepsis
P Lehto1, T Saukko2, H Säkkinen2, H Syrjälä2, R Kerkelä3, S Skarp3, J Karhu2, T Ala-Kokko1
1Oulu University Hospital, Critical Care Center, Oys, Finland, 2Oulu University Hospital, Oys, Finland, 3Oulu University, Oulu, Finland
P166 Impact of dehydration on the mortality in patients with sepsis: a nationwide prospective cohort study
SM Yoon1, KE Lee1, YH Ahn1, J Lee2, SM Lee2, HY Lee1
1Seoul National University Hospital, Critical Care Medicine, Seoul, South Korea, 2Seoul National University Hospital, Pulmonary and Critical Care Medicine, Seoul, South Korea
Non-dehydration | Dehydration | Adjusted OR (95% CI) | |
---|---|---|---|
Unmatched | n = 6063 | n = 3720 | |
ICU admission | 2638 (43.5%) | 2064 (55.5%) | 1.47 (1.33–1.62) |
30-day mortality | 1419 (23.4%) | 1259 (33.8%) | 1.24 (1.12–1.38) |
Matched | n = 3158 | n = 3158 | |
ICU admission | 1469 (46.5%) | 1696 (53.7%) | 1.50 (1.34–1.67) |
30-day mortality | 889 (28.2%) | 992 (31.4%) | 1.19 (1.06–1.33) |
P167 Septic shock is associated with a substantial change in the platelet lipidome
M Dechamps1, E de Cartier2, J De Poortere2, V Robaux2, C Des Rosiers3, A Forest3, J Ambroise4, L Bertrand2, S Horman2, C Beauloye2
1CARD, IREC, UCLouvain, Brussels, Belgium, 2CARD, IREC, Brussels, Belgium, 3Montreal Heart Institute Research Center, Metabolomic Platform, Montreal, Canada, 4IREC, UCLouvain, Centre de Technologies Moléculaires Appliquées, Brussels, Belgium
P168 Use of NEWS2 and SeptiCyte® RAPID in acutely ill patients suspected of sepsis
SC Cermelli1, R Balk2, K Navalkar1, R Brandon1, T Yager1, R Davis1
1Immunexpress, Seattle, USA, 2Rush Medical College and Rush University Medical Center, Chicago, USA
P169 Association of serum iron levels with mortality in sepsis patients: a retrospective study using the MIMIC-IV database
J Jin1, Y Liu2, L Yu1, Q Zhou1
1The university of Hong Kong-Shenzhen Hospital, Intensive Care Unit, Shenzhen, China, 2Shenzhen Hospital, Southern Medical University Shenzhen, Intensive Care Unit, Shenzhen, China
P170 A proteomic definition of sepsis
L Mellhammar, E Malmström, A Scott, A Goch Gustaffson, T Mohanty, A Bakochi, L Thelaus, F Kahn, J Malmström, A Linder
Faculty of Medicine, Department of Clinical Sciences, Lund, Sweden
P171 Prevalence, early predictors, and outcomes of sepsis in neurocritical illnesses: a prospective cohort study
F Yuan, LW Wang, ZM Ma, ZJ Jiang, HL Li, AL Lu, SW Wu, HL Lu, WW Wen
The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Department of Neurocritical Care, Guangzhou, China
P172 Positive predictive value of procalcitonin to identify viral infection in community-acquired respiratory infections
A Silva, J Martins, A Branco, I Zão, G Cabral-Campello, T Cardoso
Centro Hospitalar Tâmega e Sousa, Intensive Care, Penafiel, Portugal
P173 Can heparin binding protein be of additive value to lactate for the identification of sepsis alert patients in need of vasopressor treatment?
A Goch Gustafsson, L Mellhammar, A Linder
Lund University, Infection Medicine, Lund, Sweden
P174 Pancreatic stone protein plasma level of COVID-19 patients with sepsis
G Melegari1, F Carrieri1, S Pollonara2, C Soriani3, T Trenti4, P Baffoni1, A Pignatti1, F Gazzotti1, E Bertellini1, A Barbieri2
1Azienda Ospedaliero Universitaria di Modena, Department of Anaesthesia and Intensive Care, Modena, Italy, 2University of Modena and Reggio Emilia, School of Anaesthesia And Intensive care, Modena, Italy, 3University of Modena and Reggio Emilia, Anaesthesia and Intensive Care, Modena, Italy, 4Azienda Ospedaliero Universitaria di Modena, Department of Laboratory Medicine and Pathology, AUSL/AOU, Modena, Italy
P175 Pancreatic stone protein accuracy in infection diagnosis and prognosis in liver failure patients: a case series
D Lopes1, JP Bandovas2, B Chumbinho2, C Espírito Santo1, B Ferreira1, L Val-Flores1, R Pereira1, F Cardoso3, L Bento4, P Póvoa5
1Curry Cabral Hospital, Central Lisbon University Hospital, Department of Intensive Care Medicine (Unidade de Cuidados Intensivos Polivalente), Lisboa, Portugal, 2Curry Cabral Hospital, Central Lisbon University Hospital, Department of General Surgery, Lisboa, Portugal, 3Curry Cabral Hospital, Central Lisbon University Hospital, Transplant Unit, Lisboa, Portugal, 4São José Hospital, Central Lisbon University Hospital, Department of Intensive Care Medicine (Unidade de Urgência Médica), Lisboa, Portugal, 5São Francisco Xavier Hospital, CHLO, Intensive Care Unit 4, Department of Intensive Care, Lisboa, Portugal
P176 Circulating H3.1-nucleosomes as an index of sepsis-induced immunoparalysis: preliminary data from the ImmunoSep trial
C Psarrakis1, E Mouloudi2, A Ioakeimidou3, M Ntaganou4, M Patrani5, E Kondili6, E Gkeka7, M Netea8, E Giamarellos-Bourboulis1
1National and Kapodistrian University of Athens, 4th Department of Internal Medicine, Medical School, Athens, Greece, 2Ippokrateion General Hospital, Intensive Care Unit, Thessaloniki, Greece, 3Asklipeion General Hospital, Intensive Care Unit, Voula, Greece, 4Sotiria Hospital of Chest Diseases, Intensive Care Unit, Athens, Greece, 5Korgialeneion Benakeion General Hospital, Intensive Care Unit, Athens, Greece, 6University of Crete, Intensive Care Unit, Herakleion, Greece, 7Aristotle University, Intensive Care Unit, Thessaloniki, Greece, 8Radboud University Medical Center, Department of Internal Medicine, Nijmegen, Netherlands
P177 Molecular sepsis subphenotypes
L Mellhammar, E Malmström, A Scott, A Goch Gustafsson, T Mohanty, A Bakochi, L Thelaus, F Kahn, J Malmström, A Linder
Faculty of Medicine, Department of Clinical Sciences, Lund, Sweden
P178 Sepsis clinical phenotypes complement but do not overlap with immunological phenotypes: secondary analysis of a randomized controlled trial
E Karakike1, N Antonakos2, A Kotsaki2, M Kyprianou2, EJ Giamarellos-Bourboulis2
12nd Department of Critical Care, National and Kapodistrian University of Athens, Athens, Greece, 24th Department of Internal Medicine, National and Kapodistrian University of Athens, Athens, Greece
P179 Withdrawn
P180 Predictors of bloodstream infections in patients undergoing hematopoietic stem-cells transplantation: a prospective cohort study
I Gur, E Borohovich, A Stern, I Henig, A Miller
Rambam Healthcare Campus, Haifa, Israel
P181 Protocolized application of a novel host-response assay in standard sepsis treatment workflows at two different emergency departments
R Scoggins1, H Smithline2, TP Aufderheide3, M Chinn3, T Carver3, N Lebedoer3, M Sorrells1, R Sheybani1, H O´Neal4
1Cytovale Inc., San Francisco, USA, 2Baystate Medical Center, Boston, USA, 3Medical College of Wisconsin, Miluakee, USA, 4LSU Health Science Center/Our Lady of the Lake Regional Medical Center, Baton Rouge, USA
P182 Machine learning-based prognostic modelling using a large number of plasma inflammatory mediators in COVID-19 patients
H Ritter Dal Pizzol1, LF Mendes1, F Dal-Pizzol2, JC Moreira1, D Gelain1
1Universidade Federal do Rio Grade do Sul, Biochemistry, Porto Alegre, Brazil, 2Universidade do Extremo Sul Catarinense, Ciências da Saúde, Criciúma, Brazil
P183 Neutrophil to lymphocyte ratio: prognostic value in the ICU
F Violini1, R Antolini1, G Perini1, A Raponi2, C Pacini1, F Santoni1, E Vitali1, A Salvucci Salice3, A Donati4, A Carsetti4
1UNIVPM, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy, Ancona, Italy, 2UNIVPM, Emergency Medicine Residency Program, Università Politecnica delle Marche, Ancona, Italy, Ancona, Italy, 3UNIVPM, Medicina e Chirurgia, Ancona, Italy, 4UNIVPM, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy/Clinica di Anestesia e Rianimazione Generale, Respiratoria e del Trauma Maggiore, AOU delle Marche, Ancona, Italy
Subgroups | Significance value |
---|---|
NLR in MDR infected patients 20 (± 16.36) NLR in other | Comparison t-test: p > 0.05 |
NLR in septic shock 34.69 (± 29.58) NLR in other | Comparison t-test: p > 0.05 |
NLR in survivors 11.11 [6.33; 17.35] NLR in non-survivors | Comparison Mann–Whitney-U: p = 0.01 |
P184 Circulating levels of IL-6 receptor and response to tocilizumab treatment in critical COVID-19
G Marinakis1, A Siampanos2, E Karakike2, M Patrani1, E Giamarellos-Bourboulis2
1Korgialeneion Benakeion General Hospital, Intensive Care Unit, Athens, Greece, 2National and Kapodistrian University of Athens, 4th Department of Internal Medicine, Medical School, Athens, Greece
P185 Postoperative IL-6 improves early prediction of infection after pulmonary cancer surgery, a double-center prospective study
T Reniers1, PG Noordzij1, E Veen2, L Vernooij1, FN Hofman3, TCD Rettig.4
1Sint Antonius Hospital, Anesthesiology and Intensive Care, Nieuwegein, Netherlands, 2Amphia Hospital, Surgery, Breda, Netherlands, 3Sint Antonius Hospital, Cardiothoracic surgery, Nieuwegein, Netherlands, 4Amphia Hospital, Anesthesiology and Intensive Care, Breda, Netherlands
P186 Impact of COVID-19 omicron variant on lung transplantation patients: a single tertiary medical center experience
KW Chang, SW Leu, HC Hu, KC Kao
Chang Gung Memorial Hospital, Taoyuan, Taiwan, Department of Thoracic Medicine, Taoyuan, Taiwan, Republic of China
P187 Retrospective evaluation of the relationship between infections and mortality during the ICU hospitalisation of polytrauma patients
O Ayvaz, S Hosaf, T Kayim, E Karakoc, B Yelken
Eskişehir Osmangazi University, Anaesthesiology and Reanimation, Eskisehir, Turkey
P188 Using positive reinforcement to improve prescribing behaviours at a large teaching hospital in the UK
M Saba1, E Thomas1, R Gill1, M Arshad1, E Plunkett2, JM Patel1
1Queen Elizabeth Hospital, Intensive Care Unit, Birmingham, UK, 2University Hospitals Birmingham, Anaesthetics, Birmingham, UK
P189 Clinical infections and microbiological characteristics in patients admitted to ICUs after the earthquake in the southeastern part of Türkiye in 2023
EK Kaya1, B Halacli1, G Guven1, M Yildirim2, E Gemcioglu3, B Erdemir Sullu4, RC Yuksel5, A Esmaoglu Coruh6, K Gundogan5, A Topeli1
1Hacettepe University Faculty of Medicine, Department of Internal Medicine/Division of Intensive Care Medicine, Ankara, Turkey, 2Ministry of Health, Etlik City Hospital, Department of Internal Medicine/Intensive Care Unit, Ankara, Turkey, 3Ministry of Health, Etlik City Hospital, Department of Internal Medicine, Ankara, Turkey, 4Hacettepe University Faculty of Medicine, Division of Intensive Care Medicine, Ankara, Turkey, 5Erciyes University Faculty of Medicine, Department of Internal Medicine/Division of Intensive Care Medicine, Kayseri, Turkey, 6Erciyes University Faculty of Medicine, Department of Anesthesiology, Kayseri, Turkey
P190 Continuation of concomitant antibiotics is associated with worse outcomes in patients with Clostridioides difficile infectious disease
D Adukauskienė1, R Mickus1, A Adukauskaitė2
1Medical Academy, Lithuanian University of Health Sciences, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania, 2Department of Cardiology and Angiology, University Hospital of Innsbruck, Department of Cardiology and Angiology, University Hospital of Innsbruck, Innsbruck, Austria
P191 Antibiotic resistance cluster analysis in critical patients
AO Oliveira1, AM Mestre1, AG Gonçalves1, MVC Vera-Cruz1, LP Pássaro2, JGP Gonçalves-Pereira1
1Hospital de Vila Franca de Xira, ICU, Vila Franca de Xira, Portugal, 2Hospital de Vila Franca de Xira, Infectious Disease Department, Vila Franca de Xira, Portugal
Variable | Sample | Cluster 1 | Cluster2 | Cluster3 | p value |
---|---|---|---|---|
N | (746) | 248 (33.2%) | 441 (59.1%) | 57 (7.6%) | |
ICU-LOS (mean) | 6.58 ± 6.8 | 6.23 ± 6.4 | 6.35 ± 6.3 | 9.85 ± 9.9 | 0.001† |
SAPS II Score (mean) | 50.38 ± 18.9 | 49.4 ± 18.6 | 50.8 ± 19.3 | 51.3 ± 17.2 | 0.588† |
Ventilation days. (mean) | 6.33 ± 6.6 | 5.92 ± 6.5 | 6.16 ± 6.2 | 9.47 ± 8.9 | 0.001† |
Age (mean) | 67.45 ± 13.6 | 67.13 ± 13 | 67.78 ± 13.7 | 66.2 ± 15.1 | 0.643† |
ICU mortality (%) | 20.8 | 20.2 | 21.3 | 19.3 | 0.9◊ |
In-Hosp. mortality (%) | 34.3 | 36.7 | 32.7 | 36.8 | 0.516◊ |
P192 Identification and comparison of the lower respiratory tract microbiome composition by conventional culture and 16 s rRNA gene sequencing in bronchoalveolar lavage from intubated intensive care patients with and without ventilation associated pneumoniae
IG Bustos1, LM Mendez1, JC Olivella1, AE Viñan Garces1, G Guerrón-Gómez1, ED Ibáñez-Prada1, CC Serrano-Mayorga1, I Martin-Loeches2, A Rodriguez3, LF Reyes1
1Facultad de Medicina, Universidad de La Sabana, Bogota, Colombia, 2Multidisciplinary Intensive Care Research Organization (MICRO), Department of Intensive Care Medicine, St. James´s Hospital, Dublin, Ireland, 3Critical Care Department, URV/IISPV/CIBERES, Hospital Universitari Joan XXIII, Tarragona, Spain
P193 Characteristics and risk factors in intensive care unit patients with bacteremia and pneumonia caused by carbapenem-resistant Klebsiella pneumoniae
BC Wu, MY Teo, KW Chang, LC Chiu, SW Leu, KC Kao, HC Hu
Chang Gung Memorial Hospital, Thoracic Medicine, Taoyuan City, Taiwan, Republic of China
-
Zhu XY et al. Chin Med J (Engl). 2021;134:1735–1737.
P194 Predictors of mortality in intensive care unit respiratory failure patients with blood stream infection caused by Klebsiella pneumoniae carbapenemase-producing Klebsiella pneumoniae
MY Teo, BC Wu, KW Chang, LC Chiu, SW Leu, KC Kao, HC Hu
Chang Gung Memorial Hospital, Department of Thoracic Medicine, Taoyuan City, Taiwan, Republic of China
P195 Carbapenemase producing Acinetobacter junii: outbreak in a bronchoscopy operation theatre in General University Hospital in Prague (GUH)
G Kroneislová, J Závora, V Adámková
General University Hospital in Prague, Clinical Microbiology and ATB Center, Prague 2, Czech Republic
P196 Carbapenemase-producing enterobacteriaceae colonization at ICU admission: impact of immunosuppression on subsequent infection and outcome
D Lopes1, ME Batista1, M Barbosa1, R Junior2, G Cristóvão3, P Nejo4, S Machado1, J Casimiro1, R Pereira1, F Cardoso5
1Curry Cabral Hospital, Central Lisbon University Hospital, Department of Intensive Care Medicine (Unidade de Cuidados Intensivos Polivalente), Lisboa, Portugal, 2São José Hospital, Central Lisbon University Hospital, Department of Intensive Care Medicine (Unidade de Urgência Médica), Lisboa, Portugal, 3Curry Cabral Hospital, Central Lisbon University Hospital, Department of Infectious Diseases, Lisboa, Portugal, 4Santarém District Hospital, Department of Intensive Care Medicine, Santarém, Portugal, 5Curry Cabral Hospital, Central Lisbon University Hospital, Transplant Unit, Lisboa, Portugal
All patients screened at ICU admission N = 965 (IQR or %) | No CPE colonization n = 907 (IQR or %) | CPE colonization n = 58 (IQR or %) | p | |
---|---|---|---|---|
SAPS II score | 42 (28–55) | 41 (28–55) | 51 (35–61) | 0.004 |
Immunosuppression (n) | 512 (53) | 492 (54) | 20 (34) | 0.005 |
CPE infection (n) | 35 (4) | 25 (3) | 10 (17) | < 0.001 |
Hospital length of stay (days) | 25 (15–45) | 24 (15–44) | 31 (18–65) | 0.033 |
ICU mortality | 168 (17) | 147 (16) | 21 (36) | < 0.001 |
Hospital mortality | 261 (27) | 233 (26) | 28 (48) | < 0.001 |
P197 Is daptomycin a suitable alternative option for initial treatment of infections caused by vancomycin and/or linezolid resistant Gram-positives?
J Závora, G Kroneislová, V Adámková
General University Hospital, Clinical Microbiology and ATB Centre, Prague, Czech Republic
P198 Factors associated with the usage of cefepime versus piperacillin/tazobactam in patients with community-acquired pneumonia admitted to the intensive care unit
CC Serrano-Mayorga1, S Duque2, ED Ibáñez-Prada1, E Garcia-Gallo2, MP Rojas Arrieta1, IG Bustos Moya1, MJ Contreras1, AE Viñan Garces1, I Martin-Loeches3, LF Reyes1
1Facultad de Medicina, Universidad de La Sabana, Bogota, Colombia, 2Pandemic Sciences Institute, University of Oxford, Oxford, UK, 3Multidisciplinary Intensive Care Research Organization (MICRO), Department of Intensive Care Medicine, St. James´s Hospital, Dublin, UK
P199 Continuous versus intermittent beta-lactam dosing in critically ill patients with sepsis: a randomized controlled trial
AB Khan1, S Omar2
1University of Witwatersrand, Critical Care, Johannesburg, South Africa, 2University of Witwatersrand, Intensive Care/Critical Care, Johannesburg, South Africa
Variable | IB median (IQR) | CI median (IQR) | p |
---|---|---|---|
Age years | 36 (25–50) | 31 (26–39) | 0.09 |
Male n (%) | 34/58 (58.6) | 41/64 (64) | 0.54 |
APACHE II score | 9.5 (6–13) | 8 (5–13) | 0.34 |
Septic shock | 23/58 (39.7) | 28/64 (43.8) | 0.65 |
Diagnosis: medical | 23/58 (39.7%) | 20/64 (31.3%) | 0.33 |
Diagnosis: surgical | 12/58 (20.6%) | 13/64 (20.3%) | 0.96 |
Diagnosis: trauma | 23/58 (39.7%) | 31/64 (48.4%) | 0.33 |
P200 Vaccine effectiveness of the national vaccination campaign against SARS-CoV-2 in patients with acute respiratory failure (ARF) with criteria for ventilatory support: a multicentric cohort study
N Fuentes1, L Stein1, A Lagazio2, M Laíz3, A Gallardo4, L De Wouters5, I Santomil1, M Busico3, M Mogadouro2, M Esperatti1
1Hospital Privado de Comunidad, Critical Care Unit, Mar del Plata, Argentina, 2Sanatorio de la Trinidad Palermo, Critical Care Unit, Buenos Aires, Argentina, 3Clínica Olivos SMG, Critical Care Unit, Buenos Aires, Argentina, 4Sanatorio Clínica Modelo de Morón, Critical Care Unit, Buenos Aires, Argentina, 5Hospital Privado de Comunidad, Infectious Disease Department, Mar del Plata, Argentina
Outcome | Vaccinated (n = 91) | Unvaccinated (n = 560) | p |
---|---|---|---|
In-hospital mortality, n (%) | 37 (40) | 155 (28) | 0.01 |
ETI, n (%) | 41 (45) | 248 (44.3) | 0.89 |
ICU stay (days), median (percentile 25–75) | 8 (4–15) | 9 (4–15) | 0.85 |
Hospital stay (days), median (percentile 25–75) | 13 (10–23) | 13 (9–28) | 0.93 |
SVFD (days), median (percentile 25–75) | 19 (0–24) | 18.5 (0–25.5) | 0.38 |
Time to death (days), median. (percentile 25–75) | 15 (9–25) | 8 (5–11) | < 0.001 |
Time to ETI (days), median (percentile 25–75) | 2 (1–4.5) | 1 (0–2) | < 0.001 |
P201 SARS-CoV-2 pneumonia in intensive care unit: predictors of major cardiovascular events
D Hamdi1, I Belloumi2, W Demni1, I Sahnoun1, A Houatmia2, K Ouerhani1, M Bahri1, D Abdelhadi1, NE Nouira1
1Mongi Slim Academic Hospital, Emergency Department, Tunis, Tunisia, 2Tabarka Hospital, Intensive Care Unit, Jendouba, Tunisia
P202 The trend of severe neck infections patients and the waves of COVID-19
R Echigoya1, T Ohtake2
1Kurashiki Central Hospital, Emergency and Critical Care Center, Okayama, Japan, 2Kurashiki Central Hospital, Okayama, Japan
P203 Comparison of the results of the use of dexamethasone compared with methylprednisolone pulses in severe pneumonia due to COVID-19. Cohort study
N Fuentes1, M Olmos1, ME González1, L De Wouters2, I Santomil1, A Miranda Tirado1, J Suárez Díaz3, L Stein3, M Flamini Marczuk1, M Esperatti1
1Hospital Privado de Comunidad, Critical Care Unit, Mar del Plata, Argentina, 2Hospital Privado de Comunidad, Infectious Disease Department, Mar del Plata, Argentina, 3Hospital Privado de Comunidad, Mar del Plata, Argentina
P204 Impact of COVID-19 pandemic in rate of ventilator-associated pneumonias caused by MDR pathogens: a 5-year retrospective study
JP Cidade1, H Moreira1, R Carnevale1, L Morais1, T Miranda1, G Guerreiro1, P Fidalgo1, P Moniz1, E Gonçalves2, P Póvoa1
1Hospital São Francisco Xavier, Intensive Care Department, Lisbon, Portugal, 2Hospital São Francisco Xavier, Microbiology Department, Lisbon, Portugal
P205 How often do we need to adjust the dose of linezolid in critically ill patients to get the target?
I Jordão1, N Andrade2, CM Silva2, M Peixinho3, M Rocha4, F Parente1, JP Baptista2
1Centro Hospitalar Universitário de Coimbra, EPE, Farmacologia Clínica, Coimbra, Portugal, 2Centro Hospitalar Universitário de Coimbra, EPE, Serviço de Medicina Intensiva, Coimbra, Portugal, 3Centro Hospitalar Universitário de Coimbra, EPE, Serviço de Patologia Clínica, Coimbra, Portugal, 4Centro Hospitalar Universitário de Coimbra, EPE, Farmácia Hospital, Coimbra, Portugal
Characteristic | Result |
---|---|
Age, years, median [IQR] | 64.5 [53.5–74.0] |
Male, n (%) | 42 (75.0%) |
Body mass index, Kg/m2, median [IQR] | 30.9 [27.9–34.9] |
SOFA score, median [IQR] | 11.0 [9.0–13.5] |
SAPS 3, median [IQR] | 73.0 [60.3–82.8] |
Creatinine clearance mL/min, median [IQR] | 32.6 [7.0–82.9] |
Renal replacement therapy, n (%) | 24 (42.9%) |
Septic shock n (%) | 51 (91.1%) |
P206 Gas-producing liver abscess caused by C. perfringens: a case series review
M Iwahara, R Echigoya
Kurashiki Central Hospital, Intensive Care Department, Okayama, Japan
Variable | All n = 9 |
---|---|
Age median (IQR) | 77 (74–82) |
Malignancy n% | 66.7% (6/9) |
Diabetes n% | 44.4% (4/9) |
Intravascular hemolysis n% | 88.9% (8/9) |
Drainage n% | 66.7% (6/9) |
Death n% | 55.6% (5/9) |
Hospitalization-death time median (IQR) | 24 (19–94) |
P207 High dose nebulized colistin improves mortality in bacteremic ventilator-associated pneumonia from Acinetobacter baumannii
N Kazakos1, N Lagos1, T Maniatopoulou1, E Toli1, A Papathanasiou1, G Papathanakos1, C Kittas2, D Koulenti3, V Koulouras4, I Andrianopoulos1
1University Hospital of Ioannina, Intensive Care Unit, Ioannina, Greece, 2University Hospital of Ioannina, Microbiology Department, Ioannina, Greece, 3The University of Queensland, UQ Centre for Clinical Research / Faculty of Medicine, Brisbane, Australia, 4University Hospital of Ioannina, Intensive Care Medicine, Ioannina, Greece
P208 Evaluation of the safety and efficacy of inhaled liposomal amphotericin B in mechanically ventilated patients
M López Olivencia1, N Paredes de Dios1, A De Abreu Ramírez1, J Sáez de la Fuente2, S García Plaza1, S Sáez Noguero1, J Fortún Abete3, A Blandino Ortiz1, R de Pablo Sánchez1, MC Soriano Cuesta1
1Ramón y Cajal University Hospital, Intensive Care Medicine, Madrid, Spain, 2Ramón y Cajal University Hospital, Pharmacy, Madrid, Spain, 3Ramón y Cajal University Hospital, Infectious Diseases Department, Madrid, Spain
Characteristic | (n = 35 patients) |
---|---|
SOFA score (mean ± SD) | 8.10 ± 3.43 points |
APACHE score (mean ± SD) | 17.93 ± 4.78 points |
ICU length of stay (mean ± SD) | 48.89 ± 28.82 days |
Days of mechanical ventilation (mean ± SD) | 41.20 ± 24.63 days |
Days of ABL-inh (mean ± SD) | 17.06 ± 11.84 days |
Complications (%) | 6/35 (17.1) patients |
Development IPA under prophylactic treatment (%) | 6/30 (20%) patients |
P209 Analysis of Candida spp. infections in adult intensive care units in Santander Colombia
JA Cárdenas Londoño1, J Leon Gomez2
1Fundación Cardioinfantil, Cardiovascular Critical Care Unit, Bogotá DC, Colombia, 2Centro de Tratamiento e Invetigacion sobre Cancer Luis Carlos Sarmiento Angulo - CTIC, Hospitalization Unit. Fundacion CTIC, Bogotá DC, Colombia
P210 Socio-demographic factors associated with mortality from tuberculous meningitis in Colombia
JA Cárdenas Londoño1, A Obando2
1Fundación Cardioinfantil, Cardiovascular Critical Care Unit, Bogotá DC, Colombia, 2Fundación Santa Fe de Bogotá, Anesthesia Department, Bogotá DC, Colombia
P211 In-hospital mortality in adult immunocompromised patients with community-acquired pneumonia admitted to the ICU
AE Viñan Garces1, JC Olivella1, ED Ibáñez-Prada1, S Duque2, E Garcia-Gallo2, JM Restrepo1, EG Couto-Luvie1, LF Reyes1
1Facultad de Medicina, Universidad de La Sabana, Bogota, Colombia, 2Pandemic Sciences Institute, University of Oxford, Oxford, UK
Variables | Univariate analysis OR (95% CI) | p value | Multivariate analysis OR (95% CI) | p value |
---|---|---|---|---|
Age | 1.03 (1.99–3.03) | < 0.01 | 1.02 (1.01–1.03) | < 0.01 |
Solid tumor | 2.46 (1.99–3.03) | < 0.01 | 1.88 (1.48–2.38) | < 0.01 |
Asplenia | 0.23 (0.12–0.59) | 0.01 | 0.38 (0.16–0.88) | 0.03 |
HIV/AIDS | 0.53 (0.35–0.82) | 0.01 | 0.88 (0.56–1.39) | 0.59 |
Inflammatory bowel disease | 0.47 (0.30–0.74) | 0.01 | 0.60 (0.38–0.95) | 0.03 |
Autoimmune status | 0.51 (0.36–0.73) | < 0.01 | 0.67 (0.46–0.97) | 0.03 |
Hematological tumor | 1.12 (0.85–1.48) | 0.45 |
P212 SCORE2 as a prediction severity score for patients with community acquired pneumonia: an analysis of the ACCESS study
S Doulou1, K Dakou2, K Leventogiannis1, E Giamarellos-Bourboulis1
1National and Kapodistrian University of Athens, 4th Department of Internal Medicine, Medical School, Athens, Greece, 2Hellenic Institute for the Study of Sepsis, Athens, Greece
P213 Validation of a new data-driven SLOSR ICU efficiency measure in community-acquired pneumonia patients: a multicenter study of 45,866 admissions in 85 Brazilian units
A Quintairos1, G Fonte2, GF Ferrari2, L Santos Lourenço Bastos2, S Hamacher2, F Augusto Bozza2, I Tona Peres2, JI Figueira Salluh3
1D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; Department of Critical Care and Postgraduate Program in Translational Medicine, Rio de Janeiro, Brazil; Department of Critical and Intensive Care Medicine, Academic Hospital Fundación Santa Fe de Bogota, Bogota, Colombia, 2Department of Industrial Engineering, Pontificial Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil, 3D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil, Rio de Janeiro, Brazil
P214 A breath-based in vitro diagnostic assay for the detection of lower respiratory tract infections
DC Chen1, M Mirski2, SC Chen3, EAC Canton1, KMK Kiser1, CRH Haddaway1, MSC Cetta1, YP Pan4, WAB Bryden1, MM McLoughlin1
1Zeteo Tech Inc, Biomedical Engineering, Sykesville, USA, 2Johns Hopkins Medicine, Anesthesiology & Critical Care, Baltimore, USA, 3University of Maryland, Biostatistics, College Park, USA, 4Maryland Psychiatric Research Center, Psychiatry, Baltimore, USA
P215 Sepsis golden hour algorithm: impact on outcomes
M Vivekanandan, B Rowland-Jones, D Cottam, M Judd, J Sheehan, P Bhogal, M Zuleika
Royal Surrey NHS Foundation Trust, Intensive Care Unit, Guildford, UK
Variable | Aug 21–March 22 (2021) | March 19–Nov 19 (2019) | p value |
---|---|---|---|
Number of patients | 64 | 119 | |
Mean age (years) | 65.5 (SD 14.243), range: 19–90 | 65.7 (SD 14.470) Range: 18–96 | |
Antibiotics within 1 h | 62 (94%) | 88 (74%) | |
Mean length of stay in ICU (days) | 5.1 (SD 6.286), range: 0–38 | 7.689 (SD 9.847) Range: 0–47 | p = 0.06 |
Mean length of stay in hospital (days) | 16.66 (SD 16.123), range: 0–84 | 26.317 (SD26.455) Range: 1–149 | p = 0.002 |
ICU mortality | 12 (18.75%) | 19 (16%) | p = 0.486 |
Hospital mortality | 12 (18.75%) | 34 (28.6%) | p = 0.003 |
P216 Precision medicine in septic shock with enibarcimab: biomarker guided definition of target population
P Pickkers1, D Van Liers2, C Knothe3, J Struck3, S Witte3, PF Laterre4, A Mebazaa5
1Radboud University Medical Center, Intensive Care, Nijmegen, Netherlands, 2Radboud University Medical Center, Department of Intensive Care Medicine and Radboud Center for Infectious Diseases, Nijmegen, Netherlands, 3Adrenomed AG, Adrenomed AG, Hennigsdorf, Germany, 4Centre Hospitalier Régional Mons-Hainaut, Department of Intensive Care Medicine, Mons, Belgium, 5University Hospitals Saint-Louis–Lariboisière, Department of Anaesthesiology, Burn and Critical Care, Paris, France
P217 Modulation of NET release by plasma derived immunoglobulins: trimodulin (polyvalent IgM, IgA, IgG solution) vs. standard IVIg
R Zapf1, U Steffen1, F Bohländer2
1Friedrich-Alexander University (FAU) Erlangen-Nürnberg and Universitätsklinikum Erlangen, Department of Internal Medicine 3 - Rheumatology and Immunology, Erlangen, Germany, 2Biotest AG, Translational Research, Dreieich, Germany
P218 Probiotics as modifiers of the innate immune response in COVID-19 and ARDS: a case–control study
I Mitrou, C Psarrakis, N Antonakos, K Leventogiannis, E Giamarellos-Bourboulis
National and Kapodistrian University of Athens, 4th Department of Internal Medicine, Medical School, Athens, Greece
P219 Tocilizumab timing and COVID-19 mortality: a cohort study of early vs late administration
F Macgregor1, A O´Prey2, C Caulfield2, P MacTavish3, R Lowrie4, P Henderson5
1Royal Alexandra Hospital, Pharmacy Department, Paisley, UK, 2Queen Elizabeth University Hospital, Pharmacy Department, Glasgow, UK, 3Glasgow Royal Infirmary, Pharmacy Department, Glasgow, UK, 4Pharmacy and Prescribing Support Unit, Glasgow, UK, 5Royal Alexandra Hospital, Intensive Care Unit, Paisley, UK
P220 Hemoperfusion with Efferon LPS NEO device reverts multiple organ failure, decreases IL-6 and TNF levels and systemic immune inflammation in children with sepsis
SM Stepanenko1, II Afukov2, YS Aleksandrovich3, EV Zilbert4, AB Chatchukhina2, IV Turischev5, MA Rusak6, AL Shavkin6, AY Popov7, V Pisarev8
1N.I. Pirogov Russian National Research Medical University, Moscow, Russian Federation, 2G.N. Speransky Children’s City Clinical Hospital No. 9, Moscow, Russian Federation, 3Saint-Petersburg State Pediatric Medical University, Saint Petersburg, Russian Federation, 4N.F. Filatov Children’s City Hospital, Moscow, Russian Federation, 5Saint Vladimir Children’s City Clinical Hospital, Moscow, Russian Federation, 6St. Petersburg State Health Care Institution "Children’s Municipal Multi-Specialty Clinical Center of High Medical Technology", Saint Petersburg, Russian Federation, 7A.N. Nesmeyanov Institute of Organoelement Compounds of Russian Academy of Sciences, Moscow, Russian Federation, 8Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A.Negovsky Institute of General Reanimatology, Moscow, Russian Federation
P221 The international, prospective COSMOS registry on the use of CytoSorb® in critically ill patients: preliminary results after first 100 patients
A Kribben1, M Thielmann2, FS Taccone3, JL Teboul4, FM Brunkhorst5, G Bottari6, J Hidalgo7, T Klaus8, EN Deliargyris9, R Ferrer10
1Clinic for Nephrology, University Duisburg-Essen, University Hospital Essen, Essen, Germany, 2Department of Thoracic- and Cardiovascular Surgery, Westgerman Heart & Vascular Center, Essen, Germany, 3Department of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium, 4Therapeutics and Critical Care Medicine, Medical ICU, Bicetre Hospital, Paris-Saclay University, Paris, France, 5Integriertes Forschungs- und Behandlungszentrum (IFB) Sepsis und Sepsisfolgen, University Jena, Jena, Germany, 6Pediatric Intensive Care Unit, Children Hospital Bambino Gesù, Rome, Italy, 7General Intensive Care Unit and COVID-19 Unit, Belize Healthcare Partners, Belize City, Belize, 8CytoSorbents Europe GmbH, Berlin, Germany, 9CytoSorbents Corporation and CytoSorbents Medical Inc., Princeton, New Jersey, USA, 10 Intensive Care Department, Vall d´Hebron University Hospital, Shock, Organ Dysfunction and Resuscitation Research Group (SODIR), Barcelona, Spain
P222 Mortality comparison between positive single-center randomized trials and subsequent multicenter randomized trials in critically ill patients: a systematic review
Y Kotani1, S Turi2, A Ortalda2, M Baiardo Redaelli2, C Marchetti2, R Losiggio2, G Lombardi2, N Maimeri2, G Landoni2, R Bellomo3
1Kameda Medical Center, Department of Intensive Care Medicine, Kamogawa, Japan, 2IRCCS San Raffaele Scientific Institute, Department of Anesthesia and Intensive Care, Milan, Italy, 3The University of Melbourne, Department of Critical Care, Melbourne, Australia
P223 Cardiac dysfunction is common prior to sepsis hospitalization
S Iyer1, JN Kennedy1, JC Jentzer2, MH Senussi3, CW Seymour1
1University of Pittsburgh, Critical Care Medicine, Pittsburgh, USA, 2Mayo Clinic College of Medicine and Science, Cardiovascular Medicine, Rochester, USA, 3Baylor College of Medicine, Cardiology & Critical Care Medicine, Houston, USA
Characteristic | None (N = 3625) | RV dysfunction (N = 136) | LV dysfunction (N = 715) | BV dysfunction (N = 123) |
---|---|---|---|---|
Age, years, mean (SD) | 68 (15) | 71 (14) | 70 (15) | 71 (13) |
Sex, male, no. (%) | 1889 (52.1%) | 75 (55.1%) | 262 (36.6%) | 51 (41.5%) |
White race, no. (%) | 3066 (84.6%) | 120 (88.2%) | 582 (81.4%) | 103 (83.7%) |
Black race, no. (%) | 462 (12.7%) | 12 (8.8%) | 106 (14.8%) | 15 (12.2%) |
Chronic β-blocker therapy in past 1 year, no. (%) | 1530 (42.2%) | 56 (41.2%) | 402 (56.2%) | 68 (55.3%) |
Vasopressors during hospital stay, no. (%) | 832 (23.0%) | 45 (33.1%) | 258 (36.1%) | 63 (51.2%) |
ICU admission during hospital stay, no. (%) | 2432 (67.1%) | 107 (78.7%) | 538 (75.2%) | 102 (82.9%) |
P224 The effects of vasopressin in combination with norepinephrine in cardiac function
FA Gonzalez, J Bacariza, R Varudo, J Leote, I Ribeiro, R Meireles, C Martins, V Pereira, R Gomes, A Fernandes
Hospital Garcia de Orta, Intensive Care Medicine Department, Almada, Portugal
P225 A pilot randomised trial to compare live video versus document upload for clinical trial monitoring for the BALANCE (Bacteraemia Antibiotic Length Actually Needed for Clinical Effectiveness) trial
D Dwivedi1, S Davies2, A Rishu3, N Daneman4, R Fowler5, B Rogers2
1Monash Health, Intensive Care Unit/Infectious Diseases, Melbourne, Australia, 2Monash Health, Infectious Diseases, Melbourne, Australia, 3Sunnybrook Research Institute, Intensive Care Unit/Infectious Diseases, Toronto, Canada, 4Sunnybrook Research Institute, Infectious diseases, Toronto, Canada, 5Sunnybrook Research Institute, Intensive Care Unit, Toronto, Canada
P226 The challenge of delayed intensive care unit admissions
M Sheik, M Abbas, J Dixon
Epsom & St Helier University Hospital NHS Trust, Critical Care Department, Surrey, UK
P227 Effects of rotating shift work schedule on sleep parameters in healthy intensive care unit nurses
A Ioannidis1, A Tsaloglidou1, C Papadopoulos2, N Pantelas3, D Komninou3, A Petsa3, K Founta3, C Sidera3, E Markidou3, T Kafkia1
1International Hellenic University, School of Health Sciences, Department of Nursing, Sindos-Thessaloniki, Greece, 2Aristotle University, School of Medicine, Third Cardiology Department, Thessaloniki, Greece, 3General Anticancer Hospital "Metaxa", Intensive Care Unit, Piraeus, Greece
Parameter | Morning shift (n = 14) | Afternoon shift (n = 17) | Night shift (n = 15) | p |
---|---|---|---|---|
Time asleep (hours) | 6.4 | 6.1 | 7.7 | < 0.05 |
REM sleep cycles (n) | 4.4 | 3.7 | 3.4 | < 0.05 |
REM sleep duration (%) | 22.8 | 18.5 | 14.6 | < 0.05 |
Sleep score (%) | 78 | 75 | 67 | < 0.05 |
P228 Emergency bag bleep test: How much weight is too much?
AC Casey, J Wright, R Coe, R Jones
North Bristol NHS Trust, Intensive Care Medicine, Bristol, UK
P229 Does simulation training in an intensive care setting improve final-year medical students’ feelings of preparedness and level of competence?
M Guinat1, JD Chiche1, Y Takeuchi2
1Lausanne University Hospital (CHUV), Department of Intensive Care Medicine, Lausanne, Switzerland, 2Faculty of Biology and Medicine, Medical Education Unit of the School of Medicine of Lausanne, Lausanne, Switzerland
P230 A health equity monitoring framework based on process mining
JN Adams1, J Ziegler2, M McDermott3, MJ Douglas4, R Eber5, JW Gichoya6, D Goode3, S Sankaranarayanan7, WMP van der Aalst1, LA Celi8
1RWTH Aachen University, Chair of Process and Data Science, Aachen, Germany, 2University of Manitoba, Department of Internal Medicine, Winnipeg, Canada, 3Harvard Medical School, Department of Biomedical Informatics, Boston, USA, 4University of Arizona, Department of Surgery, Tucson, USA, 5Montpellier University, Montpellier Research in Management, Montpellier, France, 6Emory University, Department of Radiology & Imaging Sciences, Atlanta, USA, 7Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, USA, 8Massachusetts Institute of Technology, Laboratory for Computational Physiology, Cambridge, MA, USA
P231 Increase in prevalence of burnout among intensive care professionals during the COVID-19 pandemic: a national comparison study between the prepandemic and the pandemic period
V Pakou1, I Andrianopoulos2, G Papathanakos2, A Ntantana3, M Gouva4, V Koulouras2
1University of Ioannina, Medical School, Ioannina, Greece, 2University Hospital of Ioannina, Intensive Care Unit, Ioannina, Greece, 3Papageorgiou General Hospital of Thessaloniki, Intensive Care Unit, Papageorgiou General Hospital of Thessaloniki, Thessaloniki, Greece, 4University of Ioannina, Department of Nursing, Ioannina, Greece
P232 The portfolio effect: a new opportunity for improving handoffs quality in ICUs
C Monard1, J Carrere1, P Abraham1, V Cerro1, S Polazzi2, C Payet2, T Rimmelé1, A Duclos2
1Hospices Civils de Lyon, Hopital Edouard Herriot, Service d´anesthésie-réanimation, Lyon, France, 2Université Claude Bernard Lyon 1, Research on Healthcare Performance RESHAPE, INSERM U1290, Lyon, France
P233 Machine learning improves ICU admission based on lung ultrasound score
D Oliveira-Saraiva1, J Leote2, N Garcia3, F Gonzalez2, HA Ferreira4
1Institute of Biophysics and Biomedical Engineering, Physics, Lisboa, Portugal, 2Critical Care Department, Hospital Garcia de Orta E.P.E, Almada, Portugal, 3LASIGE, Lisboa, Portugal, 4Institute of Biophysics and Biomedical Engineering, Lisboa, Portugal
Inputs for the model | Acc (%) | PPV (%) | NPV (%) | AUC (%) |
---|---|---|---|---|
LUS-A | 78.4 | 83.3 | 71.4 | 79.0 |
LUS-B | 76.5 | 78.8 | 72.2 | 76.9 |
LUS-C | 82.4 | 86.7 | 76.2 | 73.8 |
LUF-1 (B-lines) | 80.4 | 86.2 | 72.7 | 81.0 |
LUF-2 (B-lines + Pleura) | 82.4 | 80.6 | 86.7 | 89.0 |
LUF-3 (B-lines + Pleura + SubPCons) | 84.3 | 82.9 | 87.5 | 87.9 |
LUF-4 (B-lines + Pleura + SubPCons + LobCons) | 84.3 | 79.5 | 100.0 | 86.7 |
P234 Obstetric admissions to intensive care unit: an 11-year retrospective study
C Rodrigues1, I Pinto2, D Cabral2, D Gomes2, G Nobre de Jesus2
1Faculdade de Medicina da Universidade de Lisboa, Clinica Universitária de Medicina Intensiva, Lisboa, Portugal, 2Centro Hospitalar e Universitário Lisboa Norte, Serviço de Medicina Intensiva, Lisboa, Portugal
P234A Peripartum hypertensive disorders: a sub-cohort outcome analysis
I Pinto1, C Rodrigues2, D Cabral1
1Centro Hospitalar e Universitário Lisboa Norte, Serviço de Medicina Intensiva, Lisboa, Portugal, 2Faculdade de Medicina da Universidade de Lisboa, Clinica Universitária de Medicina Intensiva, Lisboa, Portugal
P235 Experience “near miss” to postpartum hemorrhage
LF Godinez Monroy, JA Villalobos Silva, C Zarazua Sosa, JA Garza Carrion
Hospital General de Ciudad Victoria, Critical Care, Ciudad Victoria, Mexico
P236 Obstetric hemorrhage as a prognostic factor in the intensive care unit
LF Godínez Monroy, C Zarazúa Sosa, JA Garza Carrión, JA Villalobos Silva, A Zárate Gracia
Hospital General Dr. Norberto Treviño Zapata, Medicina Crítica, Ciudad Victoria, Tamaulipas, Mexico
P237 Associations of COVID infection and prolonged syndromes with nutritional disorders one year after onset: a multicenter prospective study
K Kawabata, S Suganuma, N Yokoyama, S Kashiwagi, M Idei, M Yokose, S Takaki, N Kanda, K Nakamura
Yokohama City University Hospital, Intensive Care, Yokohama, Japan
P238 Difference in mortality among children in pediatric and adult intensive care units
J Choi, J Cho
Samsung Medical Center, Department of Critical Care, Seoul, South Korea
P239 Validation of pediatric risk of mortality (PRISM IV) and pediatric index of mortality (PIM 3) in critically ill pediatric oncology patients
AP Kulkarni1, KRK Kalvit2, SJB Bhosale3
1Tata Memorial Hospital, Department of Anaesthesia, Critical Care & Pain, Mumbai, Maharashtra State, India, 2Tata Memorial Hospital, Homi Bhabha National Institute, Ex-Asst Professor, Division of Critical Care, Dept. of Anaesthesiology, Critical Care & Pain, Mumbai, Maharashtra State, India, 3Tata Memorial Hospital, Homi Bhabha National Institute, Professor, Division of Critical Care, Dept of Anaesthesiology, Critical Care & Pain, Mumbai, Maharashtra State, India
P240 One-year functional recovery from severe COVID-19 is severely affected in the Swedish intensive care and hospital admitted working age cohort
B Ahlström1, R Fritioff1, M Hultström2, IM Larsson1, G Strandberg1, M Lipcsey1
1Uppsala University, Faculty of Medicine, Department of Surgical Sciences, Uppsala, Sweden, 2Uppsala University, Faculty of Medicine, Department of Medical Cell Biology, Uppsala, Sweden
P241 Clavien–Dindo 3–5 complications at 90-days after liver transplantation (LT)
A Sabate1, M Caballero1, L Perez1, R Gutierrez2, R Pujol3, J Vidal3, A Blasi3
1Hosital Universitari de Bellvitge, Anesthesiology, Hospitalet del Llobregat, Spain, 2Hospital de Cruces, Anesthesiology, Bilbao, Spain, 3Hospital Clinic, Anesthesiology, Barcelona, Spain
Variable | CDC grade, 3–5 (n = 49, 27.8%) | CDC grade, 0–2 (n = 127, 72.2%) |
---|---|---|
Warm ischemia time (min) | 35 (26–52) | 40 (27–52) |
Cold ischemia time (min) | 357 (272–445) | 380 (287–444) |
Length of surgery (min)* | 435 (330–1420) | 380 (295–1448) |
Reperfusion syndrome | 53% | 44% |
Tranexamic acid administration | 44.9% | 35.5% |
Total RBC (units)* intra + 24 h.post | 4 (2–7) | 2 (0–4) |
Total fluid therapy including albumin (mL) | 5511 (4125–8400) | 5184 (4153–6766) |
P242 The pictorial fit-frail scale independently predicts 90-day mortality in critically ill older patients
L Statlender1, O Theou2, R Merchshiev1, T Shochat3, L Cooper4, I Kagan1
1Rabin Medical Center, Beilinson Hospital, Intensive Care Unit, Petah Tikva, Israel, 2Dalhousie University and Nova Scotia Health, Division of Geriatric Medicine, Halifax, Canada, 3Rabin Medical Center, Beilinson Hospital, Statistical Consulting Unit, Petah Tikva, Israel, 4Rabin Medical Center, Beilinson Hospital, Department of Geriatric Medicine, Petah Tikva, Israel
P243 The added value of high sensitive troponin T and creatine kinase-myocardial band on the predictive performance of EuroSCORE II for in-hospital mortality after elective coronary artery surgery
MSY Thio1, TCD Rettig2, LM Vernooij3, KF Beukema3, PG Noordzij3
1Amphia Hospital, Anaesthesiology, Intensive Care and Pain Medicine, Breda, Netherlands, 2Amphia Hospital, Breda, Netherlands, 3St. Antonius Hospital, Nieuwegein, Netherlands
P244 Association between ethnicity and COVID-19 severity in a district general hospital in East London
P Odedra1, S Rizvi1, A Boedo1, C Megoran2, P Antoine1
1Homerton Healthcare, Adult Critical Care Unit, London, UK, 2Homerton Healthcare, Internal Medicine, London, UK
P245 Predictive cellular markers of outcome in pleural empyema: post-COVID-19 vs no COVID-19 patients
V Pisarev1, AG Chumachenko2, DL Fetlam3, AA Tarlycheva2, AN Kuzovlev2, AV Grechko2
1Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A.Negovsky Institute of General Reanimatology, Moscow, Russian Federation, 2Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russian Federation, 3I.V. Davidovsky City Clinical Hospital, Moscow, Russian Federation
P246 Risk factors for deterioration of the quality of life after discharge from the ICU in patients with COVID-19
L Simões, C Monteiro, M Sequeira, P Martins
Coimbra´s University Hospital, Intensive Care Department, Coimbra, Portugal
P247 Follow-up of COVID-19 patients after intensive care unit discharge
L Simões, C Monteiro, M Sequeira, P Martins
Coimbra´s University Hospital, Intensive Care Department, Coimbra, Portugal
P248 Risk factors for delirium in critically ill COVID-19 patients and the impact on quality of life after discharge
L Simões, C Monteiro, M Sequeira, P Martins
Coimbra´s University Hospital, Intensive Care Department, Coimbra, Portugal
P249 Prospective ultrasonographic evaluation of femoral and vastus intermedius muscles as predictors of ICU-acquired weakness in critically ill patients
M Chaves1, S Torres2, P Lisnedia3, J Alvarado2, MV Stozitzky2, CA Santacruz2
1Fundación Santa Fe de Bogotá, Bogota, Colombia, 2Fundación Santa Fe de Bogotá, ICU, Bogota, Colombia, 3Fundación Santa Fe de Bogotá, Instituto de Medicina del Ejercicio y Rehabilitación (IMER), Bogota, Colombia
P250 Development and internal validation of a novel cardiac-extended SOFA score for improved 30-day mortality prediction in sepsis
S Lörstad1, Y Wang2, S Tehrani1, S Shekarestan3, P Åstrand4, P Gille-Johnson4, T Jernberg3, J Persson3
1Division of Internal Medicine and Infectious Diseases, Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden, 2Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden, 3Division of Cardiovascular Medicine, Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden, 4Internal Medicine and Infectious Diseases Clinic, Danderyd University Hospital, Stockholm, Sweden
P251 Post-intensive care COVID survivorship clinic: 12-month follow-up results
J Collins1, M Gilmartin1, S Mason1, A Horgan1, M Ryberg2, M Baily-Scanlan3, M Donnelly1, V O´Doherty2, YP Kelly4
1Tallaght University Hospital, Department of Critical Care, Dublin 24, Ireland, 2Tallaght University Hospital, Department of Psychology, Dublin 24, Ireland, 3Tallaght University Hospital, Department of Physiotherapy, Dublin 24, Ireland, 4Tallaght University Hospital, Intensive Care, Dublin 24, Ireland
P252 Association of sepsis with long-term mortality and causes of death in the Swedish intensive care cohort
B Ahlström, IM Larsson, G Strandberg, M Lipcsey
Uppsala University, Faculty of Medicine, Department of Surgical Sciences, Uppsala, Sweden
P253 The risk of subsequent cardiovascular events among sepsis survivors in Sweden: a population-based matched cohort study
H Wetterberg1, A Nilsson2, A Linder1, J Sundén-Cullberg3, M Inghammar1
1Lund University, Infection Medicine, Department of Clinical Sciences Lund, Lund, Sweden, 2Lund University, Department of Laboratory Medicine/Division of Occupational and Environmental Medicine, Lund, Sweden, 3Karolinska Institutet, Department of Medicine Huddinge, Division of Infectious Diseases, Stockholm, Sweden
P254 Prevalence of post-intensive care syndrome in survivors after critical care illness in Japan: a prospective nationwide registry study by JPICS database
J Hatakeyama1, S Inoue2, D Kawakami3, Y Ogata4, S Aso5
1Osaka Medical and Pharmaceutical University, Emergency and Critical Care Medicine, Takatsuki, Japan, 2Wakayama Medical University, Emergency and Critical Care Medicine, Wakayama, Japan, 3Aso Iizuka Hospital, Intensive Care Medicine, Iizuka, Japan, 4Yao Tokushukai General Hospital, Critical Care Medicine, Osaka, Japan, 5Graduate School of Medicine, University of Tokyo, Biostatistics and Bioinformatics, Tokyo, Japan
P255 Subphenotypes at intensive care unit discharge are associated with one-year mortality
MA Slim1, RBE van Amstel1, LDJ Bos1, OL Cremer2, WJ Wiersinga3, T van der Poll3, LA van Vught1
1Amsterdam UMC, Department of Intensive Care, Amsterdam, Netherlands, 2University Medical Center Utrecht, Department of Intensive Care, Utrecht, Netherlands, 3Amsterdam UMC, Department of Medicine, Amsterdam, Netherlands
P256 Health-related quality of life of critical patients 1 year after discharge from intensive care, prospective cohort study
N Fuentes, M Esperatti, M Olmos, E Corso, I Santomil, M Flamini Marczuk, A Miranda Tirado, L Stein, J Suárez Díaz, M González
Hospital Privado de Comunidad, Critical Care Unit, Mar del Plata, Argentina
Characteristic | Result |
---|---|
Age years (median, pp 25–75%) | 65.9 (52.9–74.5) |
Female; n (%) | 68 (36) |
APACHE Score (median, pp 25–75%) | 19 (14–23) |
SOFA Score (median, pp 25–75%) | 9 (6–10) |
Mechanical ventilation(n = 181); n (%) | 145 (80.11) |
Renal replacement therapy (n = 181); n(%) | 17 (9.4) |
Vasopressor requirement (n = 181); n (%) | 149 (82.3) |
Comorbidities number (median; pp 25–75%) | 2 (2–4) |
P257 Characteristics and outcomes of patients discharged direct to home from intensive care
H Amada1, J Jerred2, J Thomas2, PA Turton2
1Warrington and Halton Hospitals NHS Trust, Anaesthesia, Warrington, UK , 2Warrington and Halton Hospitals NHS Trust, Intensive Care Unit, Warrington, UK
P258 Green ICU: a proposed protocol to greenify intensive care: a single center experience
D Correia1, AR Silva2, B Queiroz2, S Travassos2, G Nobre de Jesus2, JM Ribeiro2
1Centro Hospitalar Universitário Lisboa Norte, Intensive Care Medicine department, Lisboa, Portugal, 2Centro Hospitalar Universitário Lisboa Norte, Serviço de Medicina Intensiva, Lisboa, Portugal
P259 Comparative environmental impact assessment of reutilized and disposable bronchoscopes
B Queiroz, S Travassos, D Correia, G Nobre de Jesus, J Ribeiro
Centro Hospitalar Universitário Lisboa Norte, Intensive Care Medicine, Lisbon, Portugal
P260 EMR smart phrases to improve and audit quality metrics compliance in the cardiac surgery ICU
R Said, A Ramirez, D Loftus, J Giordano, A Stuart
Hackensack University Medical Center, Cardiac Surgery, Hackensack, USA
-
Novel user-friendly EMR smart phrases for comprehensive data capture and best practices were created.
-
Clear communication on the rationale behind these metrics to improve staff understanding.
-
Implementation of training sessions and regular audits to ensure consistent and correct usage.
-
The nurse documented daily patient status; if the prescribed interventions for mobility and pressure ulcer prevention were not met, then barriers were reported.
-
Maintaining data accuracy with a feedback loops of email reports and meetings.
-
Celebrated achievements and addressed improvement areas.
-
Encouraging continuous improvement with staff feedback on smart phrase usability.
-
Optimization of rounding strategies for effective communication and goal attainment.
-
Regular huddles keeping everyone informed, fostering a culture of transparency and collective engagement.
P261 Palliative care screening tool: a necessary and essential instrument to intensivists
A Fonseca Barbosa1, D Dias2, J Patrício1, C Araújo Costa1, Â Simas1, C Simões Pereira1
1Hospital Beatriz Ângelo, Serviço de Medicina Intensiva, Loures, Portugal, 2Hospital do Espírito Santo de Évora, Serviço de Medicina Interna, Évora, Portugal
P262 Perception of barriers to implementation of patient- and family-centred care: a survey in low- and middle-income countries
DJ Doyle1, K DeMontille2, FA Torres3, T Al-Musawi4, S Sulaiman5, YC Yeh6, VA Rojas7, S Chetty8
1Case Western Reserve University, Anesthesiology, Cleveland Clinic Lerner College of Medicine, Cleveland, USA, 2Pfizer Medical, Hospital and Sterile Injectables, Dubai, United Arab Emirates, 3Finis Terrae University, Las Condes Clinic Santiago, Santiago, Chile, 4Al Salam Hospital, Intensive Care Unit, Al-Khobar, Saudi Arabia, 5National Heart Institute, Institut Jantung Negara, Kuala Lumpur, Malaysia, 6National Taiwan University Hospital, Department of Anaesthesiology, Taipei, Taiwan, Republic of China, 7Hospital Clínico Universidad de Chile, Critical Care Unit, Department of Medicine, Santiago, Chile, 8Stellenbosch University, Anaesthesiology and Critical Care, Faculty of Medicine and Health Sciences, Cape Town, South Africa
P263 Unlocking Maastricht III: anticipated gains
D Martins Fernandes1, F Dias2, A Cardoso-Fernandes3, A Silva4, C Basílio2, N Gatta2, R Roncon-Albuquerque Jr2, JA Paiva2
1Intensive Care Department, Areosa, Portugal, 2Centro Hospitalar Universitário São João, Intensive Care Department, Paranhos, Portugal, 3Unidade Local de Saúde Alto Minho, Internal Medicine Department, Viana do Castelo, Portugal, 4Centro Hospitalar Tâmega e Sousa, Intensive Care Department, Penafiel, Portugal
P264 Outcomes of critically ill super-elderly patients admitted to intensive care units in a middle-income country: a multicentric cohort study
G Moralez1, G Martins2, I Faria2, M Pitrowsky2, M Balbi2, L Bastos3, J Salluh2
1D´Or Institute for Research and Education, Intensive Care, Rio de Janeiro, Brazil, 2D´Or Institute for Research and Education, Critical Care, Rio de Janeiro, Brazil, 3Pontificia Universidade Catolica - PUC, Industrial engineer, Rio de Janeiro, Brazil
Elderly (65–79 y) N = 7254 | Super-elderly (> 79 years) N = 10,763 | p value | |
---|---|---|---|
SAPS 3 points (media/ Sd) | 53.67/ ± 9.46) | 59.14 ± 8.7 | < 0.05 |
Charlson Comorbidities Index (media/ Sd) | 2.11/ ± 2.33 | 1.97 / ± 1.9 | 0.573 |
Frail patients frequency | 1209 (16.7%) | 2605 (24.2) | < 0.05 |
Hospital mortality | 10.3% | 17.9% | < 0.05 |
Hospital length of stay | 13.65 (18.35) | 15.38 (19.5) | < 0.05 |
ICU mortality MV patients | 359/789 (45.5%) | 656/1131 (58%) | < 0.05 |
Hospital mortality MV patients | 429/789 (54%) | 780/ 1131 (69%) | < 0.05 |
P265 The old, the bad and the frail
M Batista, M Barbosa, C Pires, M Amaral, J Henriques, S Costa, R Costa, A Monteiro, J Casimiro, N Germano
1Centro Hospitalar Universitário de Lisboa Central, Unidade de Cuidados Intensivos Polivalente - Hospital Curry Cabral, Lisboa, Portugal
P266 Integrating palliative care into an intensive care unit: impact on caregivers
F Lemaitre1, C Bielmair2, A Denorme2, M Dumort2, A Pire2
1CHRSM site Meuse, ICU, Namur, Belgium, 2CHRSM site Meuse, ICU nursing, Namur, Belgium
Have you experienced: | Before % (Y) | After 6 months % (Y/N/L) |
---|---|---|
Discomfort | 90 | 8.3/21.7/70 |
Difficulty in communication | 78.7 | 13.6/35/55.9 |
Lack of consideration for future QOL | 86.4 | 3.3/35/ 61.7 |
Loss of meaning in your work* | 78.7 | 11.7/38.3/50 |
Improvement in the sense of work | 68.3/18.3/13.3 | |
Impact on decision-making | 95.1/4.9 | |
A better-developed project | 100 |
P267 End of life in intensive care: Portuguese first data
DDD Dias1, J Patrício2, AB Barbosa2, ÂS Simas2, CP Pereira2
1Hospital do Espírito Santo de Évora, Medicina, Évora, Portugal, 2Hospital Beatriz Ângelo, Serviço Medicina Intensiva, Loures, Portugal
Variable | EOL group 28.9% (n = 39) | Non-EOL group 71.1% (n = 96) | 100% (n = 35) |
---|---|---|---|
90 days mortality | 46.2% (n = 18) | 18.8% (n = 18) | p value: 0.001 |
In-hospital mortality | 41.0% (n = 16) | 16.7% (n = 16) | p value: 0.003 |
30-days re-hospitalization | 12.8% (n = 5) | 5.2% (n = 5) | p value: 0.126 |
Hospitalization days in ICU | median 4 [2;9] | median 5 [3;9] | p value: 0.233 |
Hospitalization days (total) | median 16 [7;23] | median 14 [8;29] | p value 0.723 |