Evidence map›Paper›PMID 38942898›Full record

ArticleScientific reports2024

Clinical subtypes of older adults starting long-term care in Japan and their association with prognoses: a data-driven cluster analysis.

Yuji Ito, Masao Iwagami, Jun Komiyama, Yoko Hamasaki, Naoaki Kuroda, Ai Suzuki, Tomoko Ito, Tadahiro Goto, Eric Y F Wan, Francisco T T Lai and 1 more

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yuji ItoDepartment of General Internal Medicine, Chutoen General Medical Center, Kakegawa, Shizuoka, Japan.
Masao IwagamiHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan. iwagami-tky@umin.ac.jp.ORCID 0000-0001-7079-0640
Jun KomiyamaHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Yoko HamasakiHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Naoaki KurodaHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Ai SuzukiDepartment of Health Services Research, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Tomoko ItoDepartment of Nursing, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Tadahiro GotoTXP Research, TXP Medical. Co. Ltd., Tokyo, Japan.
Eric Y F WanDepartment of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Francisco T T LaiDepartment of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Nanako TamiyaHealth Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.

Funding

the Ministry of Health, Labour and Welfare Policy Research Grants 23AA2003
6 · The paper itself

Abstract

We aimed to identify the clinical subtypes in individuals starting long-term care in Japan and examined their association with prognoses. Using linked medical insurance claims data and survey data for care-need certification in a large city, we identified participants who started long-term care. Grouping them based on 22 diseases recorded in the past 6 months using fuzzy c-means clustering, we examined the longitudinal association between clusters and death or care-need level deterioration within 2 years. We analyzed 4,648 participants (median age 83 [interquartile range 78-88] years, female 60.4%) between October 2014 and March 2019 and categorized them into (i) musculoskeletal and sensory, (ii) cardiac, (iii) neurological, (iv) respiratory and cancer, (v) insulin-dependent diabetes, and (vi) unspecified subtypes. The results of clustering were replicated in another city. Compared with the musculoskeletal and sensory subtype, the adjusted hazard ratio (95% confidence interval) for death was 1.22 (1.05-1.42), 1.81 (1.54-2.13), and 1.21 (1.00-1.46) for the cardiac, respiratory and cancer, and insulin-dependent diabetes subtypes, respectively. The care-need levels more likely worsened in the cardiac, respiratory and cancer, and unspecified subtypes than in the musculoskeletal and sensory subtype. In conclusion, distinct clinical subtypes exist among individuals initiating long-term care.

Indexed as

Long-Term CareAgedAged, 80 and overCluster AnalysisFemaleHumansJapanMaleNeoplasmsPrognosisClusteringLong-term careMachine learningMultimorbidity

Identifiers

PMID38942898
PMCPMC11213852

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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.