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

被引:106
作者
Romero-Brufau, Santiago [1 ,2 ]
Huddleston, Jeanne M. [1 ,2 ,3 ]
Escobar, Gabriel J. [4 ]
Liebow, Mark [5 ]
机构
[1] Mayo Clin, Robert D & Patricia E Kern Ctr Sci Hlth Care Deli, Healthcare Syst Engn Program, Rochester, MN 55905 USA
[2] Mayo Clin, Dept Hlth Sci Res, Div Hlth Care Policy & Res, Rochester, MN 55905 USA
[3] Mayo Clin, Div Hosp Internal Med, Rochester, MN 55905 USA
[4] Kaiser Permanente, Div Res, Oakland, CA 94612 USA
[5] Mayo Clin, Coll Med, Div Gen Internal Med, Rochester, MN 55905 USA
来源
CRITICAL CARE | 2015年 / 19卷
关键词
PERFORMANCE EVALUATION; TRACK; RISK; CRITERIA;
D O I
10.1186/s13054-015-0999-1
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
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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收藏
页数:6
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