Evidence map›Paper›PMID 32789265›Full record

ArticleProgress in rehabilitation medicine2019

Using Physical Function to Predict Hospital Readmission within 1 Year in Patients with Heart Failure.

Hiroaki Teramatsu, Junichiro Shiraishi, Yasuyuki Matsushima, Masaru Araki, Tetsuya Okazaki, Satoru Saeki

Abstract read
In one paragraph

Article in Progress in rehabilitation medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hiroaki TeramatsuDepartment of Rehabilitation, University Hospital of Occupational and Environmental Health, Kitakyushu, Japan.
Junichiro ShiraishiDepartment of Rehabilitation Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Yasuyuki MatsushimaDepartment of Rehabilitation Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Masaru ArakiSecond Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Tetsuya OkazakiDepartment of Rehabilitation Medicine, Hakuaikai Hospital, Fukuoka, Japan.
Satoru SaekiDepartment of Rehabilitation Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methodsOne 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.

resultsAfter 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).

conclusionPhysical 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.

Indexed as

1-year readmission6-minute walk testheart failurephysical function

Identifiers

PMID32789265
PMCPMC7365195

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.