Literature DB >> 31972608

Unplanned hospital readmissions after acute myocardial infarction: a nationwide analysis of rates, trends, predictors and causes in the United States between 2010 and 2014.

Chun Shing Kwok1,2, Quinn Capers3, Michael Savage4, Martha Gulati5, Jessica Potts1,2, Mohamed O Mohamed1,2, Vinayak Nagaraja1,2, Ashish Patwala2, Grant Heatlie2, Evangelos Kontopantelis6, David L Fischman4, Mamas A Mamas1,2.   

Abstract

BACKGROUND: Unplanned hospital readmissions are an important quality metric for benchmarking, but there are limited data following an acute myocardial infarction (AMI). This study aims to examine the 30-day unplanned readmission rate, predictors, causes and outcomes after hospitalization for AMI.
METHODS: The USA Nationwide Readmission Database was utilized to analyze patients with a primary diagnosis of AMI between 2010 and 2014. Rates of readmissions, causes and costs were determined and multiple logistic regressions were used to identify predictors of readmissions.
RESULTS: Of 2 204 104 patients with AMI, the 30-day unplanned readmission rate was 12.3% (n = 270 510), which changed from 13.0 to 11.5% between 2010 and 2014. The estimated impact of readmissions in AMI was ~718 million USD and ~281000 additional bed days per year. Comorbidities such as diabetes [odds ratio (OR) 1.27, 95% confidence interval (CI) 1.25-1.29], chronic lung disease (OR 1.29, 95% CI 1.26-1.31), renal failure (OR 1.38, 95% CI 1.35-1.40) and cancer (OR 1.35, 95% CI 1.30-1.41) were independently associated with unplanned readmission. Discharge against medical advice was the variable most strongly associated with unplanned readmission (OR 2.40, 95% CI 2.27-2.54). Noncardiac causes for readmissions accounted for 52.9% of all readmissions. The most common cause of cardiac readmission was heart failure (14.3%) and for noncardiac readmissions was infections (8.8%).
CONCLUSION: Readmissions during the first month after AMI occur in more than one in 10 patients resulting in a healthcare cost of ~718 million USD per year and ~281000 additional bed days per year. These findings have important public health implications. Strategies to identify and reduce readmissions in AMI will dramatically reduce healthcare costs for society.

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Year:  2020        PMID: 31972608     DOI: 10.1097/MCA.0000000000000844

Source DB:  PubMed          Journal:  Coron Artery Dis        ISSN: 0954-6928            Impact factor:   1.439


  4 in total

Review 1.  Readmission After ACS: Burden, Epidemiology, and Mitigation.

Authors:  Peter K Boulos; John C Messenger; Stephen W Waldo
Journal:  Curr Cardiol Rep       Date:  2022-04-30       Impact factor: 3.955

Review 2.  The changing landscape of atherosclerosis.

Authors:  Peter Libby
Journal:  Nature       Date:  2021-04-21       Impact factor: 69.504

3.  Ability of the LACE Index to Predict 30-Day Readmissions in Patients with Acute Myocardial Infarction.

Authors:  Vasuki Rajaguru; Tae Hyun Kim; Jaeyong Shin; Sang Gyu Lee; Whiejong Han
Journal:  J Pers Med       Date:  2022-06-30

4.  Epidemiology of Geographic Disparities of Myocardial Infarction Among Older Adults in the United States: Analysis of 2000-2017 Medicare Data.

Authors:  Bin Yu; Igor Akushevich; Arseniy P Yashkin; Julia Kravchenko
Journal:  Front Cardiovasc Med       Date:  2021-09-09
  4 in total

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