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Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke

INTRODUCTION: Stroke mortality has declined, with differential changes by race; stroke is now the 5th leading cause of death overall, but 2nd leading cause of death in Black individuals. Little is known about recent race/ethnic and sex trends in in-hospital mortality after acute ischemic stroke (AIS...

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Autores principales: Sun, Philip, Markovic, Daniela, Ibish, Abdullah, Faigle, Roland, Gottesman, Rebecca, Towfighi, Amytis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615015/
https://www.ncbi.nlm.nih.gov/pubmed/37904925
http://dx.doi.org/10.1101/2023.10.20.23297343
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author Sun, Philip
Markovic, Daniela
Ibish, Abdullah
Faigle, Roland
Gottesman, Rebecca
Towfighi, Amytis
author_facet Sun, Philip
Markovic, Daniela
Ibish, Abdullah
Faigle, Roland
Gottesman, Rebecca
Towfighi, Amytis
author_sort Sun, Philip
collection PubMed
description INTRODUCTION: Stroke mortality has declined, with differential changes by race; stroke is now the 5th leading cause of death overall, but 2nd leading cause of death in Black individuals. Little is known about recent race/ethnic and sex trends in in-hospital mortality after acute ischemic stroke (AIS) and whether system-level factors contribute to possible differences. METHODS: Using the National Inpatient Sample, adults (≥18 years) with a primary diagnosis of AIS from 2006 to 2017 (n=643,912) were identified. We assessed in-hospital mortality by race/ethnicity (White, Black, Hispanic, Asian/Pacific Islander [API], other), sex, and age. Hospitals were categorized by proportion of non-White patients served: <25% (“predominantly White patients”), 25–50% (“mixed race/ethnicity profile”), and ≥50% (“predominantly non-White patients”). Using survey adjusted logistic regression, the association between race/ethnicity and odds of mortality was assessed, adjusting for key sociodemographic, clinical, and hospital characteristics (e.g., age, comorbidities, stroke severity, do not resuscitate orders, and palliative care). RESULTS: Overall, mortality decreased from 5.0% in 2006 to 2.9% in 2017 (p<0.001). Comparing 2012–2017 to 2006–2011, there was a 68% reduction in mortality odds overall after adjusting for covariates, most prominent in White individuals (69%) and smallest in Black individuals (57%). Compared to White patients, Black and Hispanic patients had lower odds of mortality (adjusted odds ratio (aOR) 0.82, 95% CI 0.78–0.87 and aOR 0.93, 95% CI 0.87–1.00), primarily driven by those >65 years (age x ethnicity interaction p < 0.0001). Compared to White men, Black, Hispanic, and API men, and Black women had lower aOR of mortality. The differences in mortality between White and non-White patients were most pronounced in hospitals predominantly serving White patients (aOR 0.80, 0.74–0.87) compared to mixed hospitals (aOR 0.85, 0.79–0.91) and predominantly non-White hospitals (aOR 0.88, 0.81–0.95; interaction effect: p=0.005). DISCUSSION: AIS mortality decreased dramatically in recent years in all race/ethnic subgroups. Overall, non-White AIS patients had lower mortality than their White counterparts, a difference that was most striking in hospitals predominantly serving White patients. Further study is needed to understand these differences and to what extent biological, sociocultural, and system-level factors play a role.
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spelling pubmed-106150152023-10-31 Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke Sun, Philip Markovic, Daniela Ibish, Abdullah Faigle, Roland Gottesman, Rebecca Towfighi, Amytis medRxiv Article INTRODUCTION: Stroke mortality has declined, with differential changes by race; stroke is now the 5th leading cause of death overall, but 2nd leading cause of death in Black individuals. Little is known about recent race/ethnic and sex trends in in-hospital mortality after acute ischemic stroke (AIS) and whether system-level factors contribute to possible differences. METHODS: Using the National Inpatient Sample, adults (≥18 years) with a primary diagnosis of AIS from 2006 to 2017 (n=643,912) were identified. We assessed in-hospital mortality by race/ethnicity (White, Black, Hispanic, Asian/Pacific Islander [API], other), sex, and age. Hospitals were categorized by proportion of non-White patients served: <25% (“predominantly White patients”), 25–50% (“mixed race/ethnicity profile”), and ≥50% (“predominantly non-White patients”). Using survey adjusted logistic regression, the association between race/ethnicity and odds of mortality was assessed, adjusting for key sociodemographic, clinical, and hospital characteristics (e.g., age, comorbidities, stroke severity, do not resuscitate orders, and palliative care). RESULTS: Overall, mortality decreased from 5.0% in 2006 to 2.9% in 2017 (p<0.001). Comparing 2012–2017 to 2006–2011, there was a 68% reduction in mortality odds overall after adjusting for covariates, most prominent in White individuals (69%) and smallest in Black individuals (57%). Compared to White patients, Black and Hispanic patients had lower odds of mortality (adjusted odds ratio (aOR) 0.82, 95% CI 0.78–0.87 and aOR 0.93, 95% CI 0.87–1.00), primarily driven by those >65 years (age x ethnicity interaction p < 0.0001). Compared to White men, Black, Hispanic, and API men, and Black women had lower aOR of mortality. The differences in mortality between White and non-White patients were most pronounced in hospitals predominantly serving White patients (aOR 0.80, 0.74–0.87) compared to mixed hospitals (aOR 0.85, 0.79–0.91) and predominantly non-White hospitals (aOR 0.88, 0.81–0.95; interaction effect: p=0.005). DISCUSSION: AIS mortality decreased dramatically in recent years in all race/ethnic subgroups. Overall, non-White AIS patients had lower mortality than their White counterparts, a difference that was most striking in hospitals predominantly serving White patients. Further study is needed to understand these differences and to what extent biological, sociocultural, and system-level factors play a role. Cold Spring Harbor Laboratory 2023-10-22 /pmc/articles/PMC10615015/ /pubmed/37904925 http://dx.doi.org/10.1101/2023.10.20.23297343 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Sun, Philip
Markovic, Daniela
Ibish, Abdullah
Faigle, Roland
Gottesman, Rebecca
Towfighi, Amytis
Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke
title Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke
title_full Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke
title_fullStr Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke
title_full_unstemmed Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke
title_short Effects of System-Level Factors on Race/Ethnic Differences in In-Hospital Mortality after Acute Ischemic Stroke
title_sort effects of system-level factors on race/ethnic differences in in-hospital mortality after acute ischemic stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615015/
https://www.ncbi.nlm.nih.gov/pubmed/37904925
http://dx.doi.org/10.1101/2023.10.20.23297343
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