Progress in Rehabilitation Medicine
Online ISSN : 2432-1354
ISSN-L : 2432-1354
Using Physical Function to Predict Hospital Readmission within 1 Year in Patients with Heart Failure
Hiroaki TeramatsuJunichiro ShiraishiYasuyuki MatsushimaMasaru ArakiTetsuya OkazakiSatoru Saeki
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2019 Volume 4 Article ID: 20190018

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Abstract

Objective: The aim of this study was to investigate which method of evaluating physical function could predict 1-year readmission due to worsening of heart failure (HF) in newly diagnosed HF patients. Methods: One hundred sixteen consecutive patients with HF who underwent cardiac rehabilitation at our hospital between May 2012 and September 2015 were retrospectively enrolled. Participants were divided into two groups based on whether they were readmitted for worsening HF within 1 year. Logistic regression analysis was used to evaluate whether physical function at the time of discharge was related to HF readmission within 1 year. Results: After a mean follow-up period of 327 days, 22 patients were readmitted because of worsening HF. In the readmission group, the results of the 6-Minute Walk Test (6MWT), One-Leg Standing Test, and 30-Second Chair-Stand Test at initial discharge were significantly worse than those in the non-readmission group. In a multivariable logistic regression model, after adjusting for age and sex, a lower 6MWT distance was independently associated with increased risk of readmission within 1 year (odds ratio: 0.990, 95% confidence interval: 0.985–0.996). The 6MWT showed better prognostic value (area under the receiver operating characteristic curve: 0.696) than other evaluation methods of physical function. The 1-year non-readmission rates were 90% for 6MWT ≥382.5 m, 68% for 6MWT <382.5 m, and 53% for those unable to walk 200 m independently (P <0.001). Conclusion: Physical function, particularly the 6MWT distance at time of discharge, can be used to predict the likelihood of readmission within 1 year for patients with HF.

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© 2019 The Japanese Association of Rehabilitation Medicine
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