Cargando…
Performance of intensive care unit severity scoring systems across different ethnicities
BACKGROUND: Despite wide utilisation of severity scoring systems for case-mix determination and benchmarking in the intensive care unit, the possibility of scoring bias across ethnicities has not been examined. Recent guidelines on the use of illness severity scores to inform triage decisions for al...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836131/ https://www.ncbi.nlm.nih.gov/pubmed/33501459 http://dx.doi.org/10.1101/2021.01.19.21249222 |
_version_ | 1783642681733283840 |
---|---|
author | Sarkar, Rahuldeb Martin, Christopher Mattie, Heather Gichoya, Judy Wawira Stone, David J. Celi, Leo Anthony |
author_facet | Sarkar, Rahuldeb Martin, Christopher Mattie, Heather Gichoya, Judy Wawira Stone, David J. Celi, Leo Anthony |
author_sort | Sarkar, Rahuldeb |
collection | PubMed |
description | BACKGROUND: Despite wide utilisation of severity scoring systems for case-mix determination and benchmarking in the intensive care unit, the possibility of scoring bias across ethnicities has not been examined. Recent guidelines on the use of illness severity scores to inform triage decisions for allocation of scarce resources such as mechanical ventilation during the current COVID-19 pandemic warrant examination for possible bias in these models. We investigated the performance of three severity scoring systems (APACHE IVa, OASIS, SOFA) across ethnic groups in two large ICU databases in order to identify possible ethnicity-based bias. METHOD: Data from the eICU Collaborative Research Database and the Medical Information Mart for Intensive Care were analysed for score performance in Asians, African Americans, Hispanics and Whites after appropriate exclusions. Discrimination and calibration were determined for all three scoring systems in all four groups. FINDINGS: While measurements of discrimination - area under the receiver operating characteristic curve (AUROC) - were significantly different among the groups, they did not display any discernible systematic patterns of bias. In contrast, measurements of calibration - standardised mortality ratio (SMR) - indicated persistent, and in some cases significant, patterns of difference between Hispanics and African Americans versus Asians and Whites. The differences between African Americans and Whites were consistently statistically significant. While calibrations were imperfect for all groups, the scores consistently demonstrated a pattern of over-predicting mortality for African Americans and Hispanics. INTERPRETATION: The systematic differences in calibration across ethnic groups suggest that illness severity scores reflect bias in their predictions of mortality. FUNDING: LAC is funded by the National Institute of Health through NIBIB R01 EB017205. There was no specific funding for this study. |
format | Online Article Text |
id | pubmed-7836131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-78361312021-01-27 Performance of intensive care unit severity scoring systems across different ethnicities Sarkar, Rahuldeb Martin, Christopher Mattie, Heather Gichoya, Judy Wawira Stone, David J. Celi, Leo Anthony medRxiv Article BACKGROUND: Despite wide utilisation of severity scoring systems for case-mix determination and benchmarking in the intensive care unit, the possibility of scoring bias across ethnicities has not been examined. Recent guidelines on the use of illness severity scores to inform triage decisions for allocation of scarce resources such as mechanical ventilation during the current COVID-19 pandemic warrant examination for possible bias in these models. We investigated the performance of three severity scoring systems (APACHE IVa, OASIS, SOFA) across ethnic groups in two large ICU databases in order to identify possible ethnicity-based bias. METHOD: Data from the eICU Collaborative Research Database and the Medical Information Mart for Intensive Care were analysed for score performance in Asians, African Americans, Hispanics and Whites after appropriate exclusions. Discrimination and calibration were determined for all three scoring systems in all four groups. FINDINGS: While measurements of discrimination - area under the receiver operating characteristic curve (AUROC) - were significantly different among the groups, they did not display any discernible systematic patterns of bias. In contrast, measurements of calibration - standardised mortality ratio (SMR) - indicated persistent, and in some cases significant, patterns of difference between Hispanics and African Americans versus Asians and Whites. The differences between African Americans and Whites were consistently statistically significant. While calibrations were imperfect for all groups, the scores consistently demonstrated a pattern of over-predicting mortality for African Americans and Hispanics. INTERPRETATION: The systematic differences in calibration across ethnic groups suggest that illness severity scores reflect bias in their predictions of mortality. FUNDING: LAC is funded by the National Institute of Health through NIBIB R01 EB017205. There was no specific funding for this study. Cold Spring Harbor Laboratory 2021-01-20 /pmc/articles/PMC7836131/ /pubmed/33501459 http://dx.doi.org/10.1101/2021.01.19.21249222 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Sarkar, Rahuldeb Martin, Christopher Mattie, Heather Gichoya, Judy Wawira Stone, David J. Celi, Leo Anthony Performance of intensive care unit severity scoring systems across different ethnicities |
title | Performance of intensive care unit severity scoring systems across different ethnicities |
title_full | Performance of intensive care unit severity scoring systems across different ethnicities |
title_fullStr | Performance of intensive care unit severity scoring systems across different ethnicities |
title_full_unstemmed | Performance of intensive care unit severity scoring systems across different ethnicities |
title_short | Performance of intensive care unit severity scoring systems across different ethnicities |
title_sort | performance of intensive care unit severity scoring systems across different ethnicities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836131/ https://www.ncbi.nlm.nih.gov/pubmed/33501459 http://dx.doi.org/10.1101/2021.01.19.21249222 |
work_keys_str_mv | AT sarkarrahuldeb performanceofintensivecareunitseverityscoringsystemsacrossdifferentethnicities AT martinchristopher performanceofintensivecareunitseverityscoringsystemsacrossdifferentethnicities AT mattieheather performanceofintensivecareunitseverityscoringsystemsacrossdifferentethnicities AT gichoyajudywawira performanceofintensivecareunitseverityscoringsystemsacrossdifferentethnicities AT stonedavidj performanceofintensivecareunitseverityscoringsystemsacrossdifferentethnicities AT celileoanthony performanceofintensivecareunitseverityscoringsystemsacrossdifferentethnicities |