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Why the C-statistic is not informative to evaluate early warning scores and what metrics to use
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-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535737/ https://www.ncbi.nlm.nih.gov/pubmed/26268570 http://dx.doi.org/10.1186/s13054-015-0999-1 |
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author | Romero-Brufau, Santiago Huddleston, Jeanne M. Escobar, Gabriel J. Liebow, Mark |
author_facet | Romero-Brufau, Santiago Huddleston, Jeanne M. Escobar, Gabriel J. Liebow, Mark |
author_sort | Romero-Brufau, Santiago |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4535737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45357372015-08-14 Why the C-statistic is not informative to evaluate early warning scores and what metrics to use Romero-Brufau, Santiago Huddleston, Jeanne M. Escobar, Gabriel J. Liebow, Mark Crit Care Viewpoint 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. BioMed Central 2015-08-13 2015 /pmc/articles/PMC4535737/ /pubmed/26268570 http://dx.doi.org/10.1186/s13054-015-0999-1 Text en © Romero-Brufau et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Viewpoint Romero-Brufau, Santiago Huddleston, Jeanne M. Escobar, Gabriel J. Liebow, Mark Why the C-statistic is not informative to evaluate early warning scores and what metrics to use |
title | Why the C-statistic is not informative to evaluate early warning scores and what metrics to use |
title_full | Why the C-statistic is not informative to evaluate early warning scores and what metrics to use |
title_fullStr | Why the C-statistic is not informative to evaluate early warning scores and what metrics to use |
title_full_unstemmed | Why the C-statistic is not informative to evaluate early warning scores and what metrics to use |
title_short | Why the C-statistic is not informative to evaluate early warning scores and what metrics to use |
title_sort | why the c-statistic is not informative to evaluate early warning scores and what metrics to use |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535737/ https://www.ncbi.nlm.nih.gov/pubmed/26268570 http://dx.doi.org/10.1186/s13054-015-0999-1 |
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