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Published in: Critical Care 1/2015

01-12-2015 | Viewpoint

Why the C-statistic is not informative to evaluate early warning scores and what metrics to use

Authors: Santiago Romero-Brufau, Jeanne M. Huddleston, Gabriel J. Escobar, Mark Liebow

Published in: Critical Care | Issue 1/2015

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Abstract

Metrics typically used to report the performance of an early warning score (EWS), such as the area under the receiver operator characteristic curve or C-statistic, are not useful for pre-implementation analyses. Because physiological deterioration has an extremely low prevalence of 0.02 per patient-day, these metrics can be misleading. We discuss the statistical reasoning behind this statement and present a novel alternative metric more adequate to operationalize an EWS. We suggest that pre-implementation evaluation of EWSs should include at least two metrics: sensitivity; and either the positive predictive value, number needed to evaluate, or estimated rate of alerts. We also argue the importance of reporting each individual cutoff value.
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Metadata
Title
Why the C-statistic is not informative to evaluate early warning scores and what metrics to use
Authors
Santiago Romero-Brufau
Jeanne M. Huddleston
Gabriel J. Escobar
Mark Liebow
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Critical Care / Issue 1/2015
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-015-0999-1

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