P513 Core warming as a treatment for coronavirus disease-2019 (COVID-19) - evaluation of the influence of lung density
V Kostov1, M Mercado-Montoya2, N Bonfanti3, E Gundert3, AM Drewry4, R Bedimo5, K Kostov6, S Shah7, E Kulstad8
1Walter Payton College Preparatory High School, Chicago, IL, United States; 2Universidad de Antioquia, Bioengineering Department, Medellín, Colombia; 3UT Southwestern Medical Center, Departments of Emergency Medicine and Anesthesia/Critical Care, Dallas, TX, United States; 4Washington University School of Medicine, Department of Anesthesiology, St. Louis, MO, United States; 5UT Southwestern Medical Center, Dallas, TX, United States; 6Life Science Angels, Chicago, IL, United States; 7Illinois Institute of Technology, Department of Bioengineering, Chicago, IL, United States; 8UT Southwestern Medical Center, Department of Emergency Medicine, Dallas, TX, United States
P514 Luck, knowledge and strength facing SARS-CoV-2. The Veronese experience
K Donadello1, L Gottin2, P Zanatta3, V Schweiger2, M Taiana4, F Romagnosi3, M Ceola Graziadei5, R Pettiti Boetti2, E Polati2
1University of Verona, School of Medicine, Anesthesia and Intensive Care B, Department of Surgery, Dentistry, Gynecology and Pediatrics, Verona, Italy; 2University of Verona, School of Medicine, Verona, Italy; 3AOUI, University Hospital Integrated Trust of Verona, Anesthesia and Intensive Care A, Verona, Italy; 4AOUI, University Hospital Integrated Trust of Verona, Anesthesia and Intensive Care B, Verona, Italy; 5AOUI, University Hospital Integrated Trust of Verona, Cardio-Thoracic Anesthesia and Intensive Care, Verona, Italy
P515 Withdrawn
P516 Time-course of immune profile in ICU patients with COVID-19: preliminary results
AC Hernandez Padilla1, R Jeannet2, TD Daix3, R Formento4, AL Fedou5, G Gilbert5, B Evrard5, P Vignon6, J Feuillard4, B François6
1CHU Dupuytren, Inserm CIC 1435 & UMR 1092, Limoges, France; 2CHU Dupuytren, UMR CNRS 7276, Inserm 1262 & Inserm CIC 1435, Limoges, France; 3CHU Dupuytren, Inserm CIC 1435/Réanimation Polyvalente, Limoges, France; 4CHU Dupuytren, UMR CNRS 7276, Inserm 1262, Limoges, France; 5CHU Dupuytren, Réanimation polyvalente, Limoges, France; 6CHU Dupuytren, Réanimation polyvalente & Inserm CIC 1435 & UMR 1092, Limoges, France
P517 Tracheostomy during COVID-19 in non-operating-room: a new approach by a multidisciplinary team
M Cavagnino1, M Costa1, A Costa1, F Crimaldi1, R Guglielmetti2, F Brovelli2, M Farah Dell´Aringa1, R Vaschetto1, D Colombo3
1Università del Piemonte Orientale, Translational Medicine Department, Novara, Italy; 2SS. Trinità Hospital - ASL Novara, Otorhinolaryngology Division, Borgomanero, Italy; 3SS. Trinità Hospital - ASL Novara, Anesthesia and Intensive Care Department, Borgomanero, Italy
P518 Mental health of ICU versus non-ICU healthcare workers in a peripheral private hospital during the COVID-19 outbreak in Belgium
S Noels1, H Vanden Eede2
1Antwerp University Hospital, Anesthesiology, Edegem, Belgium; 2AZ Rivierenland, Anesthesiology, Rumst, Belgium
Data (n=73) | Non-ICU healthcare personnel (n=62) | ICU nurses (n=11) | Male (n=16) | Female (n=57) |
---|---|---|---|---|
Current feeling | Worried: n=22 (35.5%) Not worried: n=30 (48.4%) | Worried: n=7 (63.6 %) Not worried: n=1 (9.1%) | Worried: n=3 (18.75%) Afraid: n=0 (0%) | Worried: n=26 (45.5%) Afraid: n= 8 (14%) |
Sufficient safety measurements | Yes: n=49 (79%) No: n=9 (14.5%) | Yes: n=9 (81.8%) No: n=2 (18.2%) | Yes: n=10 (62.5%) No: n=4 (25%) | Yes: n=48 (84.2%) p-value <0.0001 No: n=7 (12.3%) |
Sufficient support of the hospital management | Yes: n=47 (75.8%) No: n=6 (9.7%) | Yes: n=9 (81.8%) No: n=1 (9.1%) | Yes: n=9 (56.25%) No: n=3 (18.75%) | Yes: n=47 (82.4%) P-value <0.0001 No: n=4 (7%) |
Insomnia/stress: behavioral changes at home | Yes: n=41 (66.1%) No: n=20 (32.2%) | Yes: n=8 (72.7%) No: n=3 (27.3%) | Yes: n=12 (75%) No: n=4 (25%) | Yes: n=37 (64.9%) p-value=0.0182 No: n=19 (33.3%) |
Fear of getting infected | Themselves: n=40 (64.5%) Family: n=47 (75.8%) | Themselves: n=9 (81.8%) Family: n=10 (90.9%) | Themselves: n=9 (56.25%) Family: n=11 (68.75%) | Themselves: n=40 (70.2%) Family: n=46 (80.7%) |
Need for mental break | Yes: n=47 (75.8%) No: n=12 (19.3%) | Yes: n=9 (81.8%) No: n=2 (18.2%) | Yes: n=8 (50%) No: n=6 (37.5%) | Yes: n=48 (84.2%) p-value<0.0001 No: n=8 (14%) |
Relaxing activities to cope with situation | Alcohol: n=17 (27.4%) Sport: n=21 (33.9%) | Alcohol: n=2 (18.2%) Sport: n=2 (18.2%) | Alcohol: n=4 (25%) Family: n=1 (6.25%) | Alcohol: n=13 (22.8%) Family: n=13 (22.8%) |
P519 New insights for surge capacity during COVID-19 pandemia: the Eastern Piedmont wayout
A Costa1, M Farah Dell´Aringa1, M Costa1, M Cavagnino1, F Crimaldi1, R Vaschetto1, F Della Corte1, D Colombo2
1Università del Piemonte Orientale, Translational Medicine Department, Novara, Italy; 2SS. Trinità Hospital - ASL Novara, Translational Medicine Department, Borgomanero, Italy
P520 Survey of current practice in management of anticoagulation in adult critically ill patients with COVID-19 in the Northwest of England
SR Smith1, A Waite2, BW Johnston3, ID Welters3
1University of Liverpool School of Medicine, Liverpool, United Kingdom; 2Royal Liverpool University Hospital, Intensive Care, Liverpool, United Kingdom; 3Royal Liverpool University Hospital, Liverpool, United Kingdom
P521 Non-invasive brain compliance findings in patients with COVID-19 in a Brazilian intensive care unit
SS Rojas1, VC Veiga1, J Carvalho2, AC Lisboa3, AA Ordinola3, CP Nogueira3, MM Silveira3, MA Pitaci3, S Halla3, VM Queiroz3
1Hospital Beneficência Portuguesa de São Paulo, Intensive Care Unit Coordinator, São Paulo, Brazil; 2Hospital Beneficência Portuguesa de São Paulo, Neurocritical Care Unit, São Paulo, Brazil; 3Hospital Beneficência Portuguesa de São Paulo, Intensive Care Unit, São Paulo, Brazil
P522 COVID-19 is associated with a high rate of thrombotic circuit complications during vv-ECMO therapy
XB Bemtgen1, VZ Zotzmann1, KS Steiner1, AA Asmussen1, SB Benk2 , CB Bode1, TW Wengenmayer1, SM Maier2, DS Staudacher1
1Heart Center Freiburg University, Department of Cardiology and Angiology I, Freiburg im Breisgau, Germany; 2Heart Center Freiburg University, Department of Cardiovascular Surgery, Freiburg im Breisgau, Germany
P523 High incidence of barotrauma in patients with COVID-19 pneumonia during invasive mechanical ventilation
J Udi1, V Zotzmann1, CN Lang1, A Fluegler1, K Krueger1, D Duerschmied1, F Bamberg2, C Bode1, T Wengenmayer1, DL Staudacher1
1Department of Cardiology and Angiology I (Heart Center) and Department of Internal Medicine III (Intensive Care Medicine), University of Freiburg, Faculty of Medicine, Freiburg, Germany; 2Department of Radiology, University of Freiburg, Faculty of Medicine, Freiburg, Germany
P524 Pulmonary embolism is a frequent complication in COVID-19 patients on the intensive care unit
V Zotzmann1 , CN Lang1, N Gauchel1, X Bemtgen1, F Bamberg2, C Bode1, T Wengenmayer1, D Duerschmied1, DL Staudacher3
1Heart Center Freiburg University, Freiburg im Breisgau, Germany; 2University of Freiburg, Department of Diagnostic and Interventional Radiology, Freiburg im Breisgau, Germany; 3Heart Center Freiburg University, Department of Cardiology and Angiology I, Freiburg im Breisgau, Germany
P525 Incidence of post-intensive care syndrome in conscious survivors from medical critical illness in a university hospital
N Kongpolprom1, P Srisawart2, Y Pyharnvichitnooch3
1King Chulalongkorn Memorial Hospital, Pulmonary Unit, Bangkok, Thailand; 2King Chulalongkorn Memorial Hospital, Department of Psychiatry, Faculty of Psychiatry, Chulalongkorn University, Bangkok, Thailand; 3King Chulalongkorn Memorial Hospital, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
P526 Why are acute stroke patients not receiving i.v. tPA in Republic of Moldova
G Ciobanu, A Oglinda
State University of Medicine and Pharmacy “Nicolae Testemitanu”, Emergency Medecine, Chisinau, Moldova
P527 Mitochondrial and microbial metabolites in cerebrospinal fluid
N Beloborodova1, A Pautova2, N Burnakova3
1Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Lab. Metabolisms in Critical State, Moscow, Russian Federation; 2Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Negovsky Research Institute of General Reanimatology, Moscow, Russian Federation; 3Lomonosov Moscow State University, Chemistry Department, Moscow, Russian Federation
Metabolite | p-HBA | p-HPhAA | HVA | p-HPhLA |
---|---|---|---|---|
Fumaric acid | 0.42 | 0.45 | 0.63 | 0.39 |
Succinic acid | 0.34 | 0.36 | 0.66 | 0.25 |
PhLA | 0.45 | 0.61 | ns | 0.66 |
p-HPhLA | 0.53 | 0.75 | 0.43 | - |
HVA | 0.40 | 0.41 | - | 0.43 |
p-HPhAA | 0.50 | - | 0.41 | 0.75 |
P528 Are we using NICE guidelines appropriately for CT head of head injury patients?
B Shurovi1, GP Prajapati2, NN Nayeem2
1University Hospital Lewisham, Critical Care, London, United Kingdom; 2University Hospital Lewisham, Emergency Medicine, London, United Kingdom
P529 Risk factors of secondary neurologic deterioration after moderate traumatic brain injury: a retrospective cohort
P Aries1, A Cadieu1, J Ognard2, O Huet1
1CHRU Brest, Department of Anaesthesia and Surgical Intensive Care, Brest, France; 2CHRU Brest, Department of Radiology, Brest, France
P530 Serum lactate level fails to predict clinical outcomes in patients undergoing surgical resection of brain tumors: a cross-sectional study
G Madrid1, D Cohen1, L Moreno2, A Ordoñez2, M Solórzano1, MC Niño1
1Fundación Santa Fe de Bogotá, Anesthesiology, Bogotá, Colombia; 2Fundación Santa Fe de Bogotá, Critical Medicine and Intensive Care , Bogotá, Colombia
P531 Targeted temperature management and neurological outcome after out of hospital cardiac arrest
J Ellis, C Pritchett, J Thorns, BA Alberts, R Tedstone, M Spivey
Royal Cornwall Hospital, Intensive Care, Truro, United Kingdom
P532 Outcomes from out-of-hospital cardiac arrests in Kaunas (Lithuania) in 2017-2018
L Darginavicius1, I Kajokaite2, D Ieskiene2, N Mikelionis3, J Vencloviene2, G Beinaraviciute1, T Taluntis1, E Vaitkaitiene1, D Vaitkaitis1, A Krikscionaitiene4
1Lithuanian University of Health Sciences, Kaunas, Lithuania; 2Vytautas Magnus University, Kaunas, Lithuania; 3Kaunas Emergency Medical Service Station, Kaunas, Lithuania; 4Lithuanian University of Health Sciences, Department of Emergency and Disaster Medicine, Kaunas, Lithuania
P533 Nursing feedback to introducing ICU doulas to provide psychological support for the critically ill
KR Johnson1, KL Philbrick2, K Varga3, LV Karnatovskaia1
1Mayo Clinic, Pulmonary and Critical Care Medicine, Rochester, MN, United States; 2Mayo Clinic, Pyschology, Rochester, MN, United States; 3ELTE Eötvös Loránd University, Institute of Psychology, Budapest, Hungary
P534 Patients presenting with ST-elevation myocardial infarction and high thrombus burden: the role of mechanical thrombectomy in combination with deferred stenting
K Kintis, E Papadakis , D Antonatos, A Poulianitou, V Kiriakopoulos, S Patsilinakos
Konstantopoulio General Hospital, Cardiology, Athens, Greece
P535 Preload functional status and cardiac output in sepsis
J Sahatjian1, I Douglas2, M Exline3, L Forni4, D Kaufman5, A Khan6, G Martin7, J Weingarten8, M Williams9, D Hansell10
1Cheetah Medical, Newton Center, MA, United States; 2Denver Health Medical Center, Denver, CO, United States; 3Ohio State University, Columbus, OH, United States; 4Royal Surrey Hospital, Guildford, United Kingdom; 5New York University, New York, NY, United States; 6Oregon Health and Sciences University, Portland, OR, United States; 7Emory University, Atlanta, GA, United States; 8New York Presbyterian Brooklyn, Brooklyn, NY, United States; 9Indiana University, Indianapolis, IN, United States; 10Massachusetts General Hospital, Boston, MA, United States
P536 COVID-19: speckle tracking echocardiography for detection of sepsis-induced cardiomyopathy
J Higny1, F Forêt2, PF Laterre3
1CHU UCL Namur, Department of Cardiovascular Disease, Yvoir, Belgium; 2CHU UCL Namur, Intensive Care Medicine, Dinant, Belgium; 3Cliniques Universitaires Saint-Luc, Intensive Care Medicine, Bruxelles, Belgium
P537 Ultrasonographic assessment of pleural effusion in patients with heart failure with preserved ejection fraction
O Maadarani, Z Bitar, Z Bitar
Ahmadi Hospital, Critical Care Department, Alahmadi, Kuwait
P538 Midregional proadrenomedullin (MR-proADM) algorithm reduces hospitalization rate by identifying low risk patients in the ED safely treatable as out-patients
J González del Castillo1, C Rechner2, C Clemente Calleja1, P Herrero Puente3, F Llopis Roca4, C Navarro Bustos5, A Schwabe6, J Wiemer6, S Ebmeyer6
1Hospital Clinico San Carlos, Madrid, Spain; 2Thermo Fisher Scientific, BRAHMS GmbH, Hennigsdorf, Germany; 3Hospital Universitario Central de Asturias, Oviedo, Spain; 4Hospital Universitario de Bellvitge, Barcelona, Spain; 5Hospital Universitario Virgen Macarena, Sevilla, Spain; 6Thermo Fisher Scientific, Hennigsdorf, Germany
P539 DNA methylation is altered in muscle of critically ill patients
L Van Dyck1 , F Güiza2, I Derese2, L Pauwels2, MP Casaer2, G Hermans2, PJ Wouters2, G Van den Berghe2, I Vanhorebeek2
1KU Leuven, Laboratory of Intensive Care Medicine, Leuven, Belgium; 2KU Leuven, Leuven, Belgium
P540 Complications after abdominal surgery and their impact on postoperative outcome
V Shpata1, E Ramosaço2, N Kodra3
1Faculty of Medical Technical Sciences, University of Medicine in Tirana, ICU, Tirana, Albania; 2Faculty of Medical Technical Sciences, University of Medicine in Tirana, Tirana, Albania; 3University Hospital Center of Tirana, Tirana, Albania
P541 Predicting risk of emergency readmission after intensive care: external validation of an existing model
C Beattie1, P Henderson2, T Quasim2, M Shaw3
1University of Glasgow, School of Medicine, Glasgow, United Kingdom; 2University of Glasgow, Glasgow, United Kingdom; 3Glasgow Royal Infirmary, Glasgow, United Kingdom
P542 Impact of frailty status on timely goals of care documentation and clinical outcomes in older patients
A Subramaniam1, R Tiruvoipati1, C Green2, M Bailey3, D Pilcher4
1Peninsula Health, Intensive Care Unit, Mt Eliza, Australia; 2Peninsula Health, ANZRIC, Mt Eliza, Australia; 3Alfred Health, School of Public Health and Preventive Medicine, Melbourne, Australia; 4Alfred Health, Intensive Care Unit, Melbourne, Australia
P543 Critical management of robotic pancreatic surgery: our experience on the first 66 procedures
K Donadello1, C Bruscagnin2, L Gottin2, M Taiana2, V Schweiger2, E Polati2
1University of Verona, School of Medicine, Anesthesia and Intensive Care B, Department of Surgery, Dentistry, Gynecology and Pediatrics, Verona, Italy; 2University of Verona, School of Medicine, Verona, Italy
P544 Arterial lactate concentration on intensive care unit admission predicts long term mortality after liver transplantation
LD Drouard
CHU Erasme, Anesthesiology, Brussels, Belgium
P545 STAR-Liège: modulating insulin AND nutrition improves glycemic control
V Uyttendaele1, JL Knopp2, M Pirotte3, M Bayet3, P Morimont3, N Layios3, B Lambermont3, GM Shaw4, JG Chase2, T Desaive1
1University of Liège, GIGA - In silico Medicine, Liège, Belgium; 2University of Canterbury, Department of Mechanical Engineering, Christchurch, New Zealand; 3University Hospital of Liège, Department of Intensive Care, Liège, Belgium; 4Christchurch Hospital, Department of Intensive Care, Christchurch, New Zealand
STAR (N=14) | STAR-IO (N=15) | |
---|---|---|
Workload (BG assays/day) | 13.6 | 15.5 |
Median [IQR] BG (mg/dl) | 121 [110 135] | 119 [106 137] |
% BG in 80-145 mg/dl (%) | 83 | 78 |
% BG > 145 mg/dl | 17 | 21 |
% BG < 80 mg/dl | 0.7 | 1.5 |
# Patients < 40 mg/dl | 0 | 0 |
Median [IQR] nutrition (%Goal) | 98 [67 109] | 93 [53 103] |
P546 Higher insulin resistance in female ICU patients
V Uyttendaele1, JL Knopp2, GM Shaw3, T Desaive1, JG Chase2
1University of Liège, GIGA - In silico Medicine, Liège, Belgium; 2University of Canterbury, Department of Mechanical Engineering, Christchurch, New Zealand; 3Christchurch Hospital, Department of Intensive Care, Christchurch, New Zealand
P547 Reduced workload in the STAR glycemic control framework: quantifying the safety trade-off
V Uyttendaele1, JL Knopp2, GM Shaw3, T Desaive1, JG Chase2
1University of Liège, GIGA - In silico Medicine, Liège, Belgium; 2University of Canterbury, Department of Mechanical Engineering, Christchurch, New Zealand; 3Christchurch Hospital, Department of Intensive Care, Christchurch, New Zealand
STAR-3H (N=681, totaling 59240h) | STAR-6H (N=681, totaling 60003h) | |
---|---|---|
Workload (meas. per day) | 12 | 8 |
Per-patient median BG (mg/dl) | 117 [106 131] | 124 [113 139] |
Per-patient median insulin (U/h) | 3.2 [2.0 5.0] | 2.5 [1.5 3.0] |
Per-patient median nutrition (%goal) | 100 [85 100] | 90 [75 100] |
%BG in 80-145 mg/dl | 83 | 80 |
%BG>145 mg/dl | 15 | 18 |
# patients min BG < 40 mg/dl | 14 (2.1%) | 19 (2.8%) |
P548 Improved risk-based glycemic control for critically ill patients: the first 200 patients
V Uyttendaele1, JL Knopp2, GM Shaw3, T Desaive1, JG Chase2
1University of Liège, GIGA - In silico Medicine, Liège, Belgium; 2University of Canterbury, Department of Mechanical Engineering, Christchurch, New Zealand; 3Christchurch Hospital, Department of Intensive Care, Christchurch, New Zealand
STAR-3D (N=200) | STAR-3D (once target reached, N=199) | |
---|---|---|
Median BG (mmol/l) | 119 [112 130] | 115 [108 124] |
% BG in 80-145 mg/dl (%) | 81 [65 92] | 95 [82 100] |
% BG > 145 mg/dl (%) | 18 [7 33] | 3 [0 15] |
% BG < 80 mg/dl (%) | 0 [0 0] | 0 [0 0] |
# Patients < 40 mg/dl (%) | 0 | 0 |
Median insulin rate (U/h) | 3.5 [2.5 5.0] | 2.5 [1.5 4.0] |
Median dextrose rate (%GF) | 97 [80 100] | 95 [75 100] |
P549 Perioperative blood transfusion during cytoreductive surgery with hyperthermic intraperitoneal chemotherapy: an observational study
G Madrid1, O Ballesteros2, JA Cárdenas2, E Celis2
1Fundación Santa Fe de Bogotá, Anesthesiology, Bogotá, Colombia; 2Fundación Santa Fe de Bogotá, Critical Medicine and Intensive Care, Bogotá, Colombia
P550 Coagulogram changes and von Willebrand factor activity in patients with COVID-19 infection.
S Tachyla1, A Marochkov1, D Tsopau2, V Kononkov2
1Mogilev Regional Hospital, Department of Anesthesiology and Intensive Care, Mogilev, Belarus; 2Mogilev hospital №1, Department of Anesthesiology and Intensive Care, Mogilev, Belarus
P551 Preoperative anemia increases risk for poor outcome after abdominal surgery
V Shpata1, M Kreka2, T Çina2
1Faculty of Medical Technical Sciences, University of Medicine in Tirana, ICU, Tirana, Albania; 2Faculty of Medical Technical Sciences, University of Medicine in Tirana, Tirana, Albania
P552 Pushing the limits of storage of venous blood gas samples from intensive care patients
MK Pedersen1, M Lumholdt2, SK Fagerberg2, S Mikkelsen3, P Leutscher4, K Damgaard5
1Centre for Clinical Research, North Denmark Regional Hospital, Hjørring, Denmark; 2Aalborg University Hospital, Department of Anaesthesiology and Intensive Care, Aalborg, Denmark; 3University of Southern Denmark, The Prehospital Research Unit, Odense, Denmark; 4Centre for Clinical Research, Hjørring, Denmark; 5North Denmark Regional Hospital, Department of Anaesthesiology and Intensive Care, Hjørring, Denmark
P553 Does curative intravenous immunoglobulin therapy improve outcome in the treatment of infections in chronic lymphoid leukemia?
M Benlabed1, S Nedjari2, R Gaudy3, F Ouanes2, A Ladjouze4
1Lille University, Anesthesiology, Lille, France; 2Algiers University Hospital, Anesthesiology and Intensive Care , Algiers, Algeria; 3Lille University, Lille, France; 4Algiers University Hospital, Algiers, Algeria
Experimental group | Control group | ||
---|---|---|---|
Mean ± SD | Mean ± SD | ||
Dosage IgG T7 days. g/l | 14.73 ± 1.16 | 8.00 ± 1.25 | p<0.0001 |
Duration mechanical ventilation/days | 10.4 ± 1.40 | 17.2 ± 1.56 | p<0.0001 |
P554 The effect of plasmapheresis on mortality in patients monitored in the pediatric intensive care unit due to hemophagocytic lymphohistiocytosis: single center experience
N Akcay, HS Kihtir, U Kocoglu Barlas, E Sevketoglu
University of Health Sciences, Bakirkoy Dr Sadi Konuk Training and Research Center, Pediatric Intensive Care Unit, Department of Pediatrics, Istanbul, Turkey
P555 Up-skilling staff for re-deployment to intensive care during the COVID-19 pandemic: the role of online learning resources
R Wong1, M White1, D Turton1, E Jenkins1, H Mills1, P Lee1, A Collini1, J Kobyluch1, E Young1, D Melia2
1Barts Health Education Academy, London, United Kingdom; 2Barts Health, Dept of Anaesthesia and Critical Care, London, United Kingdom
P556 Streamlining the application of machine learning techniques to ICU practices - a preliminary study
A Sakagianni1, G Feretzakis2, E Loupelis3, D Kalles4, M Lada5, M Martsoukou6, C Christopoulos5, N Skarmoutsou6, S Michelidou1, K Valakis1
1Sismanoglio General Hospital, Intensive Care Unit, Athens, Greece; 2Sismanoglio General Hospital, IT Department, Department of Quality Control Research and Continuing Education, Athens, Greece; 3Sismanoglio General Hospital, IT Department, Athens, Greece; 4School of Science and Technology, Hellenic Open University, Patras, Greece; 5Sismanoglio General Hospital, Internal Medicine Department, Athens, Greece; 6Sismanoglio General Hospital, Microbiology Laboratory, Athens, Greece
P557 Does teaching ultrasound guided cannulation to junior doctors reduce requests for difficult venous access from intensive care and anesthetic departments?
S Sahota1, W Carter-Esdale2, K Pope1, K Mitchell3
1Treliske, Critical Care, Truro, United Kingdom; 2Cardiff and Vale Health Board, Psychiatry, Cardiff, United Kingdom; 3Treliske, Anaesthetics and Pain, Truro, United Kingdom
P558 Intraventricular colistin: a successful treatment of multidrug-resistant and extensively drug-resistant Acinetobacter baumannii meningitis
W Sellami1, I Ben Mrad2, S Saidani2, H Askri2, Z Hajjej2, I Labbene2, M Ferjani2
1Military Hospital of Tunis, Department of Anesthesiology and Intensive Care Unit, Tunis, Tunisia; 2Military Hospital of Tunis, Tunis, Tunisia
P559 Population pharmacokinetics of ceftriaxone for prophylaxis in liver transplantation
GS Casu1, D Fage2, B Ickx3, V Lucidi4, T Gustot5, F Cotton2, F Jacobs6, L Van Obbergh3, FS Taccone1, M Hites6
1Hôpital Erasme, Department of Intensive Care, Bruxelles, Belgium; 2Hôpital Erasme, Department of Clinical Chemistry, Bruxelles, Belgium; 3Hôpital Erasme, Department of Anesthesiology, Bruxelles, Belgium; 4Hôpital Erasme, Department of Digestive Surgery, Bruxelles, Belgium; 5Hôpital Erasme, Department of Hepatology, Bruxelles, Belgium; 6Hôpital Erasme, Department of Infectious Diseases, Bruxelles, Belgium
P560 Health economics of nosocomial pneumonia in UK intensive care units (ICU): an exploratory study
A Wagner1, D Turner1, V Enne2, R Baldan1, C Russell1, DM Livermore1
1University of East Anglia, Norwich Medical School, Norwich, United Kingdom; 2University College London, Centre for Clinical Microbiology, London, United Kingdom
P561 Performance of a PCR based syndromic panel compared to routine culture and microscopy in patients suspected of pneumonia
V Andrews, M Pinholt, U Schneider, L Søes, K Schønning, G Lisby
Department of Clinical Microbiology, Hvidovre and Amager Hospital, Hvidovre, Denmark
P562 Antibiotic prescribing decisions in intensive care: a qualitative study
AM Pandolfo1, R Horne1, Y Jani1, N Bidad1, SJ Brett2, TW Reader3, D Brealey4, VI Enne5, DM Livermore6, V Gant7
1University College London, Department of Practice and Policy, London, United Kingdom; 2Imperial College Healthcare NHS Trust, Centre for Perioperative Medicine and Critical Care Research, London, United Kingdom; 3London School of Economics, Department of Psychological and Behavioural Science, London, United Kingdom; 4University College London Hospitals NHS Foundation Trust, Division of Critical Care, London, United Kingdom; 5University College London, Division of Infection and Immunity, London, United Kingdom; 6University of East Anglia, Norwich Medical School, Norwich, United Kingdom; 7University College London Hospitals NHS Foundation Trust, Department of Medical Microbiology, London, United Kingdom
P563 Biofire® FilmArray® pneumonia panel in the evaluation of severe lower respiratory tract infections
E Kyriazopoulou1, A Karageorgos2, L Liaskou-Antoniou2, P Koufargyris2, A Safarika2, G Adamis3, A Antoniadou2, EJ Giamarellos-Bourboulis2
1National Kapodistrian University of Athens, 4th Department of Internal Medicine, Athens, Greece; 2National Kapodistrian University of Athens, Athens, Greece; 3General Hospital of Athens "Georgios Gennimatas", 1st Department of Internal Medicine, Athens, Greece
P564 Development and external validation of an online clinical prediction model for augmented renal clearance in adult mixed critically ill patients: the ARC predictor
MG Gijsen1, CY Huang2, M Fléchet2, R Van Daele1, P Declercq1, Y Debaveye2, P Meersseman2, G Meyfroidt2, J Wauters2, I Spriet1
1UZ Leuven, Pharmacy Department, Leuven, Belgium; 2UZ Leuven, Clinical Division and Laboratory of Intensive Care Medicine, Leuven, Belgium
P565 The INHALE trial: designing a prescribing algorithm to aid antibiotic choices for the FilmArray Pneumonia Panel plus
Z Dhesi1, VI Enne1, V Gant2, DM Livermore3
1University College London, Dept for Clinical Microbiology, London, United Kingdom; 2University College London Hospitals NHS Trust, Dept of Infection, London, United Kingdom; 3University of East Anglia, Microbiology, Norwich, United Kingdom
P566 Real-life use of intravenous (i.v.) fosfomycin in patients with infective endocarditis – insights from the FORTRESS study
S Hagel1, S Kluge2, S Lindau3, FA Litty4, KF Bodmann5
1Universitätsklinikum Jena, Jena, Germany; 2Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany; 3Universitätsklinikum Frankfurt, Frankfurt, Germany; 4InfectoPharm Arzneimittel und Consilium GmbH , Medical Scientific Department, Heppenheim, Germany; 5Kliniken Nordoberpfalz, Weiden, Germany
P567 Intravenous fosfomycin in challenging cases of complicated skin and soft tissue infections (cSSTI)
S Kluge1, K Schmidt2, S Lindau3, M Zoller4, J Kielstein5, V Leshchinskiy6, D Kindgen-Milles7, S Hagel8, FA Litty9, KF Bodmann10
1Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany; 2Charité - Universitätsmedizin Berlin, Berlin, Germany; 3Universitätsklinikum Frankfurt, Frankfurt, Germany; 4LMU - Klinikum der Universität München, Munich, Germany; 5Städtisches Klinikum Braunschweig gGmbH, Braunschweig, Germany; 6Universitätsklinikum Schleswig-Holstein, Lübeck, Germany; 7Universitätsklinikum Düsseldorf, Düsseldorf, Germany; 8Universitätsklinikum Jena, Jena, Germany; 9InfectoPharm Arzneimittel und Consilium GmbH, Medical Scientific Department, Heppenheim, Germany; 10Kliniken Nordoberpfalz, Weiden, Germany
P568 Interleukin-6 and interleukin-10 as predictors of poor clinical outcome in major trauma
M Jones1, J Hanison2, R Appreteusi1, B Allarakia1, D Ramaswamy1, S Namvar1, D Horner3, R Body4, K Mackway-Jones4, N Nirmalan1
1Engineering, School of Science, University of Salford, Manchester, United Kingdom; 2Critical Care Unit, Manchester Royal Infirmary, Manchester, United Kingdom; 3Critical Care, Salford Royal NHS Foundation Trust, Manchester, United Kingdom; 4Emergency Medicine, Manchester Royal Infirmary, Manchester, United Kingdom
P569 Mild increases of creatinine after moderate and high-risk abdominal surgery are associated with long-term renal injury: a retrospective cohort study
Z Mokhtari1, L Van Obbergh1, J Rinehart2, P Van der Linden3, A Joosten1
1Department of Anesthesiology, Erasme University Hospital, Brussels, Belgium; 2Anesthesiology, UCI, Irvine, United States; 3CHU Brugmann, Anesthesiology, Brussels, Belgium
P570 Prediction of cardiac surgery associated-acute kidney injury (CSA-AKI) by healthcare providers, AKI predicting score systems and cell cycle arrest biomarkers. An interim analysis of PREDICTAKI, a prospective observational trial.
L Van Laethem, W Vandenberghe, E Hoste
UZ Gent, ICU, Gent, Belgium
Variable | AUC | 95% CI | p-value |
---|---|---|---|
HCP | 0.799 | 0.662 - 0.899 | |
NephroCheck® | 0.584 | 0.436 - 0.722 | 0.2800 |
HCP and NephroCheck® | 0.696 | 0.549 - 0.818 | 0.3886 |
Ng-score | 0.910 | 0.795 - 0.973 | 0.4618 |
Crate-score | 0.606 | 0.458 - 0.741 | 0.1835 |
Murphy-score | 0.736 | 0.593 - 0.851 | 0.7142 |
AKIpredictor-score | 0.897 | 0.778 - 0.965 | 0.1746 |
P571 Critically ill patients with H1N1 pneumonia: two year experience in a tertiary level Indian ICU
P Sathe, AK Parathody, R Borse
Department of Critical Care, Ruby Hall Clinic, Pune, India
P572 ARDS by influenza H1N1: retrospective analysis after 10 years of experience
JF Martínez Carmona, P Benitez, C Joya Montosa, C Aragón González, G Quesada García
Intensive Care Unit, Hospital Regional Universitario de Málaga, Málaga, Spain
P573 Modulation of the receptor for advanced glycation end-products affects lung epithelial wound healing, proliferation, migration, and differentiation: an in vitro study
R Blondonnet1, R Zhai2, E Ebrahimi1, C Belville2, L Blanchon2, J Audard1, JM Constantin3, V Sapin4, M Jabaudon5
1Department of Perioperative Medicine, CHU Clermont-Ferrand, GReD, CNRS, INSERM, Clermont-Ferrand, France; 2GReD, CNRS, INSERM, Clermont-Ferrand, France; 3Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France; 4Department of Medical Biochemistry and Molecular Genetics, CNRS, INSERM, GReD,, Clermont-Ferrand, France; 5Department of Medicine, Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
P574 Derivation of "specific population who could benefit from rosuvastatin": a secondary analysis on randomized controlled trial to uncover novel value of rosuvastatin for precise treatment of ARDS
S Zhang, H Qiu
Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
P575 Estimates of mechanical power directed to the respiratory system in patients with the acute respiratory distress syndrome: a secondary analysis of data from the EPVent study
MS Schaefer1, SH Loring1, D Talmor1, EN Baedorf Kassis2
1Department of Anesthesia, Critical Care & Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States; 2Pulmonary, Critical Care & Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
Baseline, n=53 | ∆ from baseline after PEEP titration, n=21 | p value | |
---|---|---|---|
PEEP, cmH2O | 13.1 [10.6; 16.6] | +7.4 [0.0; 10.3] | <0.001 |
Tidal volume, ml/kg IBW | 6.7 [5.8; 7.9] | -0.3 [-0.8; 0.6] | 0.07 |
Respiratory rate, 1/min | 25.4 [21.7; 29.0] | -0.8 [-1.8; 1.5] | 0.12 |
RS-directed power, J/min | 37.2 [24.1;51.4] | +3.6 [-1.2; 11.0] | 0.033 |
RS-directed driving power, J/min | 14.2 [11.0; 19.8] | -1.3 [-4.2; +0.8] | 0.16 |
Lung-directed power, J/min | 13.5 [8.6; 23.7] | +4.8 [0.2; 7.6] | 0.021 |
Lung-directed driving power, J/min | 13.4 [9.9; 18.8] | -1.5 [-6.3; 3.4] | 0.31 |
P576 Validation of a recruitability index measured by mechanical ventilator
G Alcala1, S Gomes2, C Lima2, R Santiago3, C Kajiyama2, T Milá2, M Amato2
1Faculdade de Medicina da Universidade de São Paulo, Pulmonary Division, Heart Institute (INCOR), Sao Paulo, Brazil; 2Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, Brazil; 3Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States
P577 Cardiopulmonary exercise tests of intubated critically ill presented as 9-panel plots, a feasibility study
M Kök1, H Van den Oever1, A Oosterwegel2, B Langeveld3
1Intensive Care, Deventer Hospital, Deventer, Netherlands; 2Physical Therapy, Deventer Hospital, Deventer, Netherlands; 3Pulmonology, Deventer Hospital, Deventer, Netherlands
P578 Clinical evaluation of a wearable sensor for mobile monitoring of respiratory rate on hospital wards
L Vikatmaa1, P Takala2, K Jarvela3, F Michard4
1Anesthesia & Intensive Care, Helsinki University Hospital, Helsinki, Finland; 2GE HealthCare, R&D, Helsinki, Finland; 3GE HealthCare, Clinical Research, Helsinki, Finland; 4MiCo, Medical Research, Denens, Switzerland
P579 SpO2 - FiO2 diagram: useful and non-invasive tool for shunt monitoring in severe ARDS
JF Martínez Carmona, S González Soto, MP Benitez, C Joya Montosa, MJ Delgado Amaya
Intensive Care Unit, Hospital Regional Universitario de Málaga, Málaga, Spain
P580 Mortality rates in mild versus severe abbreviated injury score (AIS) graded burns inhalation injury: a systematic review
WN Charles1, A Dutt2, D Collins3, S Singh4
1Department of Surgery and Cancer, Imperial College London, London, United Kingdom; 2Imperial College London, London, United Kingdom; 3Imperial College London and Department of Burns, Plastic and Reconstructive Surgery, Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom; 4Imperial College London and Magill Department of Anaesthesia, Intensive Care and Pain Management, Chelsea and Westminster Hospital NHS Foundation Trust and Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
P581 Comparison of cough efficacy between volume mode and pressure mode of mechanical insufflation-exsufflation in postextubated patients, a preliminary analysis
S Klanarong1, N Kongpolprom2
1Anesthesiology, King Chulalongkorn Memorial hospital, Bangkok, Thailand; 2Division of Pulmonary and Critical Care Medicine, Department of Medicine, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
P582 Knockdown of bone morphogenetic protein type II receptor leads to decreased aquaporin 1 expression and function in human pulmonary microvascular endothelial cells
AG Vassiliou1, C Keskinidou1, A Kotanidou2, F Frantzeskaki3, I Dimopoulou2, D Langleben4, SE Orfanos2
1National & Kapodistrian University of Athens, 1st Department of Critical Care Medicine & Pulmonary Services, GP Livanos and M Simou Laboratories, Athens, Greece; 2National & Kapodistrian University of Athens, First Department of Critical Care Medicine & Pulmonary Services, Athens, Greece; 3National & Kapodistrian University of Athens, Second Department of Critical Care, Athens, Greece; 4McGill University, Montreal, Canada
P583 Effects of lung recruitment in the prone position on dorsal lung aeration and lung oxygenation – a randomized controlled study on post cardiac surgery patients
AM Martinsson
CardioThoracic Anaesthesia and Intensive Care, Sahlgrenska University Hospital, Göteborg, Sweden
P584 Non-operative treatment for tracheoesophageal fistulae in intensive care unit: our experience
DM Palma1, AN Cracchiolo2, D Librizzi3, A La Sala4, L Serafino Agrusa5
1AORNAS Civico, II Servizio Anestesia-Rianimazione, Palermo, Italy; 2AORNAS Civico, Anestesia e Rianimazione, Palermo, Italy; 3AORNAS Civico, Chirurgia Toracica, Palermo, Italy; 4AORNAS Civico, Endoscopia Bronchiale, Palermo, Italy; 5AORNAS Civico, Endoscopia Bronchiale, Palermo, Italy
P585 Use of volatile agents for sedation in the intensive care unit: a national survey in France
R Blondonnet1, A Quinson2, C Lambert3, J Audard1, R Zhai4, B Pereira3, E Futier1, JE Bazin2, JM Constantin5, M Jabaudon6
1CHU Clermont-Ferrand, Department of Perioperative Medicine, GReD, CNRS, INSERM, Clermont-Ferrand, France; 2CHU Clermont-Ferrand, Department of Perioperative Medicine, Clermont-Ferrand, France; 3Biostatistical and Data Management Unit, Department of Clinical Research and Innovation, Clermont-Ferrand, France; 4GReD, CNRS, INSERM, Clermont-Ferrand, France; 5Sorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France; 6Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
P586 Delivery of the ‘Sepsis Six’ resuscitation bundle at a district general hospital
K Moqeem, M Waseem Beeharry, F Bucknall, J Collis, D Cottam, W Gray, A Falinska, M Zuleika
Royal Surrey NHS Foundation Trust, Guildford, United Kingdom
Antibiotics delivered within one hour: Yes | Antibiotics delivered within one hour: No | i.v. fluids initiated within one hour: Yes | i.v. fluids initiated within one hour: No | |
---|---|---|---|---|
Mean length of hospital stay in days (SD) | 8.75 (4.96) | 11.63 (11.11) | 9.73 (6.70) | 10.29 (9.71) |
ITU (% of admissions) | 2.99 | 2.99 | 2.99 | 2.99 |
Died (%) | 7.46 | 7.46 | 8.96 | 5.97 |
P587 Immunomodulatory mechanisms of pentaglobin therapy in sepsis
K Gericke1, S Weissmüller2, M König2, V Braun1, M Germer3
1Biotest AG, Bioanalysis, Dreieich, Germany; 2Biotest AG, Translational Research, Dreieich, Germany; 3Biotest AG, Preclinical Research, Dreieich, Germany
P588 Procalcitonin: a tricky biomarker for an initial choice of appropriate ATB therapy!
V Adamkova1, V Adamkova2, H Lahoda Brodska3
1General University Hospital, Clinical Microbiology and ATB center, Prague, Czech Republic; 2Cardiff University, School of Biosciences, Cardiff, United Kingdom; 3General University Hospital, Clinical Biochemistry, Prague, Czech Republic
P589 Clinical phenotypes in sepsis: validation from a new randomized controlled clinical trial
E Karakike1, M Roumpoutsou1, M Kyprianou1, K Psaroulis2, E Massa3, N Karampela4, A Pitsoulis5, P Chaloulis6, E Pappa7, EJ Giamarellos-Bourboulis1
1National and Kapodistrian University of Athens, 4th Department of Internal Medicine, Athens, Greece; 2Aghios Dimitrios General Hospital, Intensive Care Unit, Thessaloniki, Greece; 3 Hippokration General Hospital, Intensive Care Unit, Thessaloniki, Greece; 4Korgialeneio Benakeio General Hospital, Intensive Care Unit, Athens, Greece; 5G. Gennimatas General Hospital, Intensive Care Unit, Thessaloniki, Greece; 6Theageneion General Hospital, Intensive Care Unit, Thessaloniki, Greece; 7Laiko General Hospital, Intensive Cate Unit, Athens, Greece
α | β | γ | δ | |
---|---|---|---|---|
Age, median (IQR) | 76 (52-80) | 77 (71-85) | 74 (65-80) | 70 (59-76) |
CCI, median (IQR) | 5 (2-6) | 6 (3-8) | 6 (4-8) | 5 (3-7) |
Creatinine, median (IQR) | 0.9 (0.6-1.3) | 2.3 (1.5-2.9) | 1.4 (0.8-2.7) | 1.7 (1.0-3.2) |
Lactate, median (IQR) | 1.4 (0.9-2.1) | 1.2 (1.1-2.1) | 1.9 (1.7-2.4) | 3.3 (2.3-4.1) |
CRP, median (IQR) | 48 (22-141) | 136 (78-254) | 168 (113-281) | 169 (84-278) |
AST, median (IQR) | 33 (19-42) | 27 (23-46) | 31 (20-45) | 92 (58-209) |
Hospital mortality, n % | 11 (50) | 13 (56.5) | 19 (63.3) | 21 (80.8) |