학술논문

External validation of the ISARIC 4C Mortality Score to predict in-hospital mortality among patients with COVID-19 in a Canadian intensive care unit: a single-centre historical cohort study.
Document Type
Academic Journal
Author
Vallipuram T; Faculty of Medicine, McGill University, Montreal, QC, Canada.; Schwartz BC; Division of Critical Care, Jewish General Hospital, McGill University, Pavilion H-364.1, 3755 Chemin de la Côte-Sainte-Catherine, Montreal, QC, H3T 1E2, Canada. blair.schwartz@mcgill.ca.; Yang SS; Division of Critical Care, Jewish General Hospital, McGill University, Pavilion H-364.1, 3755 Chemin de la Côte-Sainte-Catherine, Montreal, QC, H3T 1E2, Canada.; Jayaraman D; Division of Critical Care, Jewish General Hospital, McGill University, Pavilion H-364.1, 3755 Chemin de la Côte-Sainte-Catherine, Montreal, QC, H3T 1E2, Canada.; Dial S; Division of Critical Care, Jewish General Hospital, McGill University, Pavilion H-364.1, 3755 Chemin de la Côte-Sainte-Catherine, Montreal, QC, H3T 1E2, Canada.
Source
Publisher: Springer New York Country of Publication: United States NLM ID: 8701709 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1496-8975 (Electronic) Linking ISSN: 0832610X NLM ISO Abbreviation: Can J Anaesth Subsets: MEDLINE
Subject
Language
English
Abstract
Purpose: With uncertain prognostic utility of existing predictive scoring systems for COVID-19-related illness, the International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) 4C Mortality Score was developed by the International Severe Acute Respiratory and Emerging Infection Consortium as a COVID-19 mortality prediction tool. We sought to externally validate this score among critically ill patients admitted to an intensive care unit (ICU) with COVID-19 and compare its discrimination characteristics to that of the Acute Physiology and Chronic Health Evaluation (APACHE) II and Sequential Organ Failure Assessment (SOFA) scores.
Methods: We enrolled all consecutive patients admitted with COVID-19-associated respiratory failure between 5 March 2020 and 5 March 2022 to our university-affiliated and intensivist-staffed ICU (Jewish General Hospital, Montreal, QC, Canada). After data abstraction, our primary outcome of in-hospital mortality was evaluated with an objective of determining the discriminative properties of the ISARIC 4C Mortality Score, using the area under the curve of a logistic regression model.
Results: A total of 429 patients were included, 102 (23.8%) of whom died in hospital. The receiver operator curve of the ISARIC 4C Mortality Score had an area under the curve of 0.762 (95% confidence interval [CI], 0.717 to 0.811), whereas those of the SOFA and APACHE II scores were 0.705 (95% CI, 0.648 to 0.761) and 0.722 (95% CI, 0.667 to 0.777), respectively.
Conclusions: The ISARIC 4C Mortality Score is a tool that had a good predictive performance for in-hospital mortality in a cohort of patients with COVID-19 admitted to an ICU for respiratory failure. Our results suggest a good external validity of the 4C score when applied to a more severely ill population.
(© 2023. Canadian Anesthesiologists' Society.)