Factors affecting hospital readmission heart failure patients in Japan: a multicenter retrospective cohort study

  • Takuya UmeharaEmail author
  • Nobuhisa Katayama
  • Miwako Tsunematsu
  • Masayuki Kakehashi
Original Article


The purpose of this study was to examine factors influencing readmission to hospital in patients with heart failure. This multicenter, retrospective cohort study analyzed 197 heart failure patients admitted to the research cooperation facilities between January 2017 and November 2017. We defined the readmission group as being readmitted to hospital in ≤ 6 months of discharge and the non-readmission group as > 6 months after discharge. Cox proportional hazards analysis was performed to explore the predictors of readmission. The incidence of readmission was calculated using Kaplan–Meier curves for the extracted factors. Intergroup differences were estimated using the log-rank test. The results of Cox proportional hazards analysis indicated that chronic renal dysfunction (hazard ratio (HR) = 4.729), dementia (HR = 7.105), HFrEF (HR = 8.138), walking without support (HR = 4.031), and walking with a cane (HR = 11.857) significantly contributed to the model. In the survival analyses using the Kaplan–Meier log-rank test, chronic renal dysfunction, dementia, and HFrEF were significant (P < 0.05), but walking without support and walking with a cane after discharge were not significant (P > 0.05). This study suggests that early involvement after discharge is important for lowering the readmission rates in patients with heart failure, even when their walking ability is good.


Heart failure Readmission Japan Cox proportional hazards analysis Walking ability 


Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.


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Copyright information

© Springer Japan KK, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of RehabilitationSaiseikai Kure HospitalKure cityJapan
  2. 2.Department of RehabilitationKure Kyosai HospitalKureJapan
  3. 3.Department of Health Informatics, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan

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