Serial evaluation of the SOFA score to predict outcome in critically ill patients.

By F. L. Ferreira, D. P. Bota, A. Bross, C. Mélot, Jean-Louis Vincent. Journal of the American Medical Association (JAMA), 2001

2,754 citations recorded by the source corpus.

Subfields: Epidemiology, Nephrology, Surgery

View Paper: https://www.semanticscholar.org/paper/f37ffffd0fd742bda76d74745d42701772dbf4b2

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Citations in the corpus

Cytokine profiles as markers of disease severity in sepsis: a multiplex analysis (2007, background): “Clinically defined, early sequential analysis of organic dysfunction in severe sepsis has proven to be a good predictor of outcome [19,25].”
Predicting In-Hospital Mortality of ICU Patients: The PhysioNet/Computing in Cardiology Challenge 2012 (2012, methodology): “The descriptors were: SAPS-1 score [2], SOFA score [3], length of stay in days (LOS), length of survival following ICU admission in days (up to 2 years), and in-hospital death (0 = survivor, 1 = died in the hospital).”
Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study (2020, methodology): “Evidence before this study We searched PubMed on Feb 23, 2020, for articles that documented the risk factors of mortality and viral shedding in patients with coronavirus disease 2019 (COVID- 19) , resulting from infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), using the s”
Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure. (2014, methodology): “Despite differences in the proportion of patients admitted to the ICU, this series of patients was selected as the validation set for the following reasons: (1) it was a prospective cohort; (2) all patients had the data needed for ACLF diagnosis and score calculations; (3) patients were followed-up ”
Effect of a Resuscitation Strategy Targeting Peripheral Perfusion Status vs Serum Lactate Levels on 28-Day Mortality Among Patients With Septic Shock: The ANDROMEDA-SHOCK Randomized Clinical Trial (2019, background): “Intravenous fluid loading per weight, mL/kgf 25 (16-40) 30 (20-43)”
Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit. (2004, methodology): “Myocardial infarction/congestive heart failure 4 (10) 15 (8)”