4.7 Article

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

期刊

CRITICAL CARE
卷 19, 期 -, 页码 -

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BMC
DOI: 10.1186/s13054-015-0999-1

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资金

  1. Gordon and Betty Moore Foundation (grant titled Early detection, prevention, and mitigation of impending physiologic deterioration in hospitalized patients outside intensive care: Phase 3, pilot)
  2. Permanente Medical Group, Inc.
  3. Kaiser Foundation Hospitals, Inc.

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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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