ArticleJournal of racial and ethnic health disparities2017
Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit.
Article in Journal of racial and ethnic health disparities, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Racial and Ethnic Inequalities Among Survivors of Critical Illness in the MIMIC-IV Database.Journal of intensive care medicine · 2026Article
- The Problem of Fairness in Synthetic Healthcare Data.Entropy (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
introductionThe current body of literature examining the impact of race upon outcomes for patients admitted to the intensive care unit (ICU) is limited. The primary objective of our study was to explore this question using a large cohort drawn from an electronic health record (EHR)-based data source.
methodsWe conducted a retrospective cohort study using Multiparameter Intelligent Monitoring in Intensive Care (MIMIC-II), an EHR-derived database encompassing ICU admissions to an academic medical center in Boston, Massachusetts, between 2001 and 2008. Adults admitted to a medical or surgical ICU were assessed for the primary outcome of 30-day mortality and secondary outcomes of in-hospital mortality and hospital length-of-stay. Multivariate logistic regression was used to determine the association between race and the primary outcome.
resultsThe study cohort consisted of 14,684 adult ICU patients-10,562 White, 1311 Black, 363 Asian, 868 "Other," and 1580 without known race. Thirty-day mortality rates experienced by Black and Asian individuals were significantly lower than mortality among those identified as White, with odds ratios of 0.62 (95 % CI 0.50-0.77) and 0.64 (95 % CI 0.44-0.93), respectively. Patients without known race experienced the highest crude mortality overall (27.4 %) and twice the adjusted odds of mortality compared with the White group.
conclusionsIn a large, racially diverse cohort of general ICU patients, White patients experienced significantly higher mortality than non-White patients. Our results are consistent with findings from other studies that indicate that the non-White race does not appear to negatively impact short-term survival following ICU admission.
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