Elixhauser outperformed Charlson comorbidity index in prognostic value after ACS: insights from a national registry
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Title
Elixhauser outperformed Charlson comorbidity index in prognostic value after ACS: insights from a national registry
Authors
Keywords
Acute coronary syndrome, Comorbidity index, Charlson score, Elixhauser score, Model performance, Model comparison
Journal
JOURNAL OF CLINICAL EPIDEMIOLOGY
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-08-27
DOI
10.1016/j.jclinepi.2021.08.025
References
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Related references
Note: Only part of the references are listed.- Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
- (2020) Salim S. Virani et al. CIRCULATION
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- (2020) Fangyuan Zhang et al. AMERICAN JOURNAL OF CARDIOLOGY
- Impact of Charlson Co-Morbidity Index Score on Management and Outcomes After Acute Coronary Syndrome
- (2020) Fangyuan Zhang et al. AMERICAN JOURNAL OF CARDIOLOGY
- The influence of Elixhauser comorbidity index on percutaneous coronary intervention outcomes
- (2019) Jessica Potts et al. CATHETERIZATION AND CARDIOVASCULAR INTERVENTIONS
- Prognosis of cardiovascular and non-cardiovascular multimorbidity after acute coronary syndrome
- (2018) Silvia Canivell et al. PLoS One
- Comparing the performance of the Charlson/Deyo and Elixhauser comorbidity measures across five European countries and three conditions
- (2015) Nils Gutacker et al. EUROPEAN JOURNAL OF PUBLIC HEALTH
- Frailty and other geriatric conditions for risk stratification of older patients with acute coronary syndrome
- (2014) Juan Sanchis et al. AMERICAN HEART JOURNAL
- Frailty and Outcome in Elderly Patients With Acute Coronary Syndrome
- (2013) Michelle M. Graham et al. CANADIAN JOURNAL OF CARDIOLOGY
- The Addition of the Charlson Comorbidity Index to the GRACE Risk Prediction Index Improves Prediction of Outcomes in Acute Coronary Syndrome
- (2013) Steven R. Erickson et al. Population Health Management
- Comparison of different comorbidity measures for use with administrative data in predicting short- and long-term mortality
- (2012) Yu-Tseng Chu et al. BMC HEALTH SERVICES RESEARCH
- Multiple imputation by chained equations: what is it and how does it work?
- (2011) Melissa J. Azur et al. INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH
- Administrative database research has unique characteristics that can risk biased results
- (2011) Carl van Walraven et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Multiple imputation using chained equations: Issues and guidance for practice
- (2010) Ian R. White et al. STATISTICS IN MEDICINE
- A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data
- (2009) Carl van Walraven et al. MEDICAL CARE
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