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Hospital Variation in Survival After In‐hospital Cardiac Arrest
BACKGROUND: In‐hospital cardiac arrest (IHCA) is common and often fatal. However, the extent to which hospitals vary in survival outcomes and the degree to which this variation is explained by patient and hospital factors is unknown. METHODS AND RESULTS: Within Get with the Guidelines‐Resuscitation,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959682/ https://www.ncbi.nlm.nih.gov/pubmed/24487717 http://dx.doi.org/10.1161/JAHA.113.000400 |
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author | Merchant, Raina M. Berg, Robert A. Yang, Lin Becker, Lance B. Groeneveld, Peter W. Chan, Paul S. |
author_facet | Merchant, Raina M. Berg, Robert A. Yang, Lin Becker, Lance B. Groeneveld, Peter W. Chan, Paul S. |
author_sort | Merchant, Raina M. |
collection | PubMed |
description | BACKGROUND: In‐hospital cardiac arrest (IHCA) is common and often fatal. However, the extent to which hospitals vary in survival outcomes and the degree to which this variation is explained by patient and hospital factors is unknown. METHODS AND RESULTS: Within Get with the Guidelines‐Resuscitation, we identified 135 896 index IHCA events at 468 hospitals. Using hierarchical models, we adjusted for demographics comorbidities and arrest characteristics (eg, initial rhythm, etiology, arrest location) to generate risk‐adjusted rates of in‐hospital survival. To quantify the extent of hospital‐level variation in risk‐adjusted rates, we calculated the median odds ratio (OR). Among study hospitals, there was significant variation in unadjusted survival rates. The median unadjusted rate for the bottom decile was 8.3% (range: 0% to 10.7%) and for the top decile was 31.4% (28.6% to 51.7%). After adjusting for 36 predictors of in‐hospital survival, there remained substantial variation in rates of in‐hospital survival across sites: bottom decile (median rate, 12.4% [0% to 15.6%]) versus top decile (median rate, 22.7% [21.0% to 36.2%]). The median OR for risk‐adjusted survival was 1.42 (95% CI: 1.37 to 1.46), which suggests a substantial 42% difference in the odds of survival for patients with similar case‐mix at similar hospitals. Further, significant variation persisted within hospital subgroups (eg, bed size, academic). CONCLUSION: Significant variability in IHCA survival exists across hospitals, and this variation persists despite adjustment for measured patient factors and within hospital subgroups. These findings suggest that other hospital factors may account for the observed site‐level variations in IHCA survival. |
format | Online Article Text |
id | pubmed-3959682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-39596822014-03-20 Hospital Variation in Survival After In‐hospital Cardiac Arrest Merchant, Raina M. Berg, Robert A. Yang, Lin Becker, Lance B. Groeneveld, Peter W. Chan, Paul S. J Am Heart Assoc Original Research BACKGROUND: In‐hospital cardiac arrest (IHCA) is common and often fatal. However, the extent to which hospitals vary in survival outcomes and the degree to which this variation is explained by patient and hospital factors is unknown. METHODS AND RESULTS: Within Get with the Guidelines‐Resuscitation, we identified 135 896 index IHCA events at 468 hospitals. Using hierarchical models, we adjusted for demographics comorbidities and arrest characteristics (eg, initial rhythm, etiology, arrest location) to generate risk‐adjusted rates of in‐hospital survival. To quantify the extent of hospital‐level variation in risk‐adjusted rates, we calculated the median odds ratio (OR). Among study hospitals, there was significant variation in unadjusted survival rates. The median unadjusted rate for the bottom decile was 8.3% (range: 0% to 10.7%) and for the top decile was 31.4% (28.6% to 51.7%). After adjusting for 36 predictors of in‐hospital survival, there remained substantial variation in rates of in‐hospital survival across sites: bottom decile (median rate, 12.4% [0% to 15.6%]) versus top decile (median rate, 22.7% [21.0% to 36.2%]). The median OR for risk‐adjusted survival was 1.42 (95% CI: 1.37 to 1.46), which suggests a substantial 42% difference in the odds of survival for patients with similar case‐mix at similar hospitals. Further, significant variation persisted within hospital subgroups (eg, bed size, academic). CONCLUSION: Significant variability in IHCA survival exists across hospitals, and this variation persists despite adjustment for measured patient factors and within hospital subgroups. These findings suggest that other hospital factors may account for the observed site‐level variations in IHCA survival. Blackwell Publishing Ltd 2014-02-28 /pmc/articles/PMC3959682/ /pubmed/24487717 http://dx.doi.org/10.1161/JAHA.113.000400 Text en © 2014 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Merchant, Raina M. Berg, Robert A. Yang, Lin Becker, Lance B. Groeneveld, Peter W. Chan, Paul S. Hospital Variation in Survival After In‐hospital Cardiac Arrest |
title | Hospital Variation in Survival After In‐hospital Cardiac Arrest |
title_full | Hospital Variation in Survival After In‐hospital Cardiac Arrest |
title_fullStr | Hospital Variation in Survival After In‐hospital Cardiac Arrest |
title_full_unstemmed | Hospital Variation in Survival After In‐hospital Cardiac Arrest |
title_short | Hospital Variation in Survival After In‐hospital Cardiac Arrest |
title_sort | hospital variation in survival after in‐hospital cardiac arrest |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959682/ https://www.ncbi.nlm.nih.gov/pubmed/24487717 http://dx.doi.org/10.1161/JAHA.113.000400 |
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