Mortality prediction using SAPS II: an update for French intensive care units

2005174 citationsJournal Articlegold Open Access

Authors

Jean Le Gall · Hôpital Saint-Louis

Anke Neumann · Assistance Publique – Hôpitaux de Paris

F. Hémery

J.P. Blériot · Ministère des Solidarités et de la Santé

Jean Pierre Fulgencio · Sorbonne Université

B. Garrigues · Centre Hospitalier du Pays d'Aix

C. Gouzes · Centre Hospitalier Universitaire de Nîmes

Abstract

The original SAPS II model did not perform sufficiently well to be useful for benchmarking in France. Customization improved the statistical qualities of the model but gave poor uniformity of fit. Adding simple variables to create an expanded SAPS II model led to better calibration, discrimination and uniformity of fit, producing a tool suitable for benchmarking.

Topics & Keywords

Sepsis Diagnosis and Treatment Machine Learning in Healthcare Renal function and acid-base balance

Publication Details

Published in: Critical Care

Volume 9, Issue 6, pp. R645-52

DOI: 10.1186/cc3821

Field-Weighted Citation Impact: 4.18

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Mortality prediction using SAPS II: an update for French intensive care units

Authors

Abstract

Topics & Keywords

Publication Details