Predicting 90-day survival of patients with COVID-19: Survival of Severely Ill COVID (SOSIC) scores

被引：0
作者：
Matthieu Schmidt
Bertrand Guidet
Alexandre Demoule
Maharajah Ponnaiah
Muriel Fartoukh
Louis Puybasset
Alain Combes
David Hajage
机构：
[1] Institute of Cardiometabolism and Nutrition,Sorbonne Université, Institut National de la Santé et de la Recherche Médicale (INSERM) Unité Mixte de Recherche (UMRS) 1166
[2] Assistance Publique–Hôpitaux de Paris (APHP),Service de Médecine Intensive–Réanimation, Institut de Cardiologie, iCAN, Institute of Cardiometabolism and Nutrition, Hôpital de la Pitié–Salpêtrière
[3] APHP,Sorbonne Université, GRC 30, RESPIRE
[4] Hôpital Pitié–Salpêtrière,Institut Pierre
[5] Sorbonne Université,Louis d’Epidémiologie et de Santé Publique, APHP, Hôpital Saint
[6] Groupe Hospitalier Universitaire APHP-Sorbonne Université,Antoine, INSERM, Service de Réanimation
[7] site Pitié–Salpêtrière,Service de Pneumologie, Médecine Intensive–Réanimation (Département R3S)
[8] Neurophysiologie Respiratoire Expérimentale et Clinique,Sorbonne Université, INSERM UMRS_1158
[9] APHP,Service de Médecine Intensive–Réanimation, Hôpital Tenon, Département Médico
[10] Université Paris-Est Créteil,Universitaire APPROCHES
[11] Sorbonne Université,Groupe de Recherche Clinique CARMAS
[12] Sorbonne Université,CNRS, INSERM, Laboratoire d’Imagerie Biomédicale
[13] Sorbonne Université,Department of Anesthesiology & Critical Care, APHP, Hôpital Pitié–Salpêtrière
来源：
Annals of Intensive Care | / 11卷
关键词：
Acute respiratory distress syndrome; Mechanical ventilation; COVID-19; Outcome; Predictive survival model;
D O I：
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