Evidence map›Paper›PMID 40066617›Full record

ArticleGeriatrics & gerontology international2025

Novel predictors of infection-related rehospitalization in older patients with heart failure in Japan.

Kei Kawada, Tomoaki Ishida, Toru Kubo, Tomoyuki Hamada, Hitoshi Fukuda, Yuki Hyohdoh, Kazuya Kawai, Yoko Nakaoka, Toshikazu Yabe, Takashi Furuno and 7 more

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

17 authors.

Kei KawadaDepartment of Clinical Pharmacy Practice Pedagogy, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.ORCID https://orcid.org/0000-0003-1397-6128
Tomoaki IshidaDepartment of Pharmacy, Kochi Medical School Hospital, Nankoku, Japan.
Toru KuboDepartment of Cardiology and Geriatrics, Kochi Medical School, Kochi University, Kochi, Japan.
Tomoyuki HamadaDepartment of Cardiology and Geriatrics, Kochi Medical School, Kochi University, Kochi, Japan.ORCID https://orcid.org/0000-0001-5282-5037
Hitoshi FukudaDepartment of Neurosurgery, Kochi Medical School, Kochi University, Nankoku, Japan.
Yuki HyohdohCenter of Medical Information Science, Kochi Medical School, Kochi University, Kochi, Japan.
Kazuya KawaiDepartment of Cardiology, Chikamori Hospital, Kochi, Japan.
Yoko NakaokaDepartment of Cardiology, Chikamori Hospital, Kochi, Japan.
Toshikazu YabeDepartment of Cardiology, Kochi Prefectural Hatakenmin Hospital, Sukumo, Japan.
Takashi FurunoDepartment of Cardiology, Kochi Prefectural Aki General Hospital, Aki, Japan.
Eisuke YamadaDepartment of Cardiology, Susaki Kuroshio Hospital, Susaki, Japan.
Shinji AbeDepartment of Clinical Pharmacy Practice Pedagogy, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Kohei JobuDepartment of Pharmacy, Kochi Medical School Hospital, Nankoku, Japan.
Mitsuhiro GodaDepartment of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Yukihiro HamadaDepartment of Pharmacy, Kochi Medical School Hospital, Nankoku, Japan.
Hiroaki KitaokaDepartment of Cardiology and Geriatrics, Kochi Medical School, Kochi University, Kochi, Japan.
Keisuke IshizawaDepartment of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.

Funding

Bayer YakuhinDaiichi Sankyo CompanyMitsubishi Tanabe Pharma CorporationOtsuka PharmaceuticalTakeda Pharmaceutical Company
6 · The paper itself

Abstract

aimRehospitalization of patients with heart failure (HF) incurs high health care costs and increased mortality. Infection-related rehospitalizations in patients with HF occur frequently, and the risk increases with age. This study aimed to identify the factors associated with infection-related rehospitalizations in older patients with HF.

methodsDemographic, clinical, and pharmacological data from 1061 patients with acute HF who were enrolled in the Kochi Registry of Subjects With Acute Decompensated Heart Failure (Kochi YOSACOI study) were analyzed. Additionally, a machine learning approach was applied in addition to the traditional statistical analysis model. Of the patients hospitalized for HF, 729 were ultimately analyzed.

resultsDuring the 2-year postdischarge follow-up period, 121 (17%) patients were readmitted for infections. Logistic regression analysis identified a Japanese Cardiovascular Health Study (J-CHS) score of ≥3 (odds ratio, 1.83 [95% confidence interval, 1.18-2.83]; P = 0.007) at discharge as a key factor for infection-related rehospitalizations. Machine learning models confirmed that a higher J-CHS score and lower estimated glomerular filtration rate (eGFR) increased the risk of infection-related rehospitalizations. Decision tree analysis classified the risk into high (J-CHS score ≥3), medium (J-CHS score <3; eGFR ≤35.0) and low (J-CHS score <3; eGFR >35.0) groups.

conclusionsInfection-related rehospitalizations occur in older patients with HF and are associated with frailty and eGFR. These findings provide valuable insights for health care providers to better manage the risk of infection-related rehospitalizations in older patients with HF, potentially improving patient outcomes. Geriatr Gerontol Int 2025; 25: 543-552.

Indexed as

Heart FailureInfectionsPatient ReadmissionAgedAged, 80 and overFemaleGlomerular Filtration RateHumansJapanMachine LearningMaleRegistriesRisk AssessmentRisk Factorsdecision treefrailheart failureinfection‐related rehospitalizationJ‐CHS score

Identifiers

PMID40066617
PMCPMC11973016

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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.