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How common is multimorbidity in elderly Chinese inpatients?

Gao S, Sun S, Sun T, et al. · BMC public health · 2024

Open access · cc by · source: Europe PMC

Among 210,169 elderly inpatients (2008–2019), 91.89% had ≥2 long-term conditions (mean 4.68 diseases) and average medication count was 5.4.

How this study connects

Role on claims

Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.

  • SupportsMultimorbidityconcept

    Elderly inpatients show a broad chronic-disease spectrum and multimorbidity over long surveillance.

    A 12-year epidemiologic look at elderly inpatients maps chronic disease spectrum and multimorbidity patterns.

    Evidence for the claim as stated.

  • QualifiesMultimorbidityconcept

    Midlife clinical, socioeconomic, and behavioural profiles predict cardiometabolic multimorbidity and death.

    In Whitehall II, least vs most favourable clinical profiles at age 50 strongly predicted first cardiometabolic disease (HR ~3.7); socioeconomic and behavioural factors additionally predicted progression to multimorbidity and mortality.

    Scope note — elderly inpatient spectrum ≠ midlife civil-servant incident multimorbidity cohort

    Limits the claim's scope: a different population, assay, or outcome.

  • SupportsMultimorbidityconcept

    Broad elderly inpatient multimorbidity spectrum vs AF-centered comorbidity patterns and impact

    Evidence for the claim as stated.

  • SupportsMultimorbidityconcept

    Age-50 risk factors for incident cardiometabolic multimorbidity/death vs Elderly inpatient chronic-disease/multimorbidity spectrum

    Evidence for the claim as stated.

Open questions

Tensions this paper is part of

From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.

History

When this study was placed

Dated entries from the concept change log — when this paper was added or removed as support, challenge, or qualifier on a claim.

  1. 2026-09-15

    Placed as a scope qualifier on Multimorbidity

    In Whitehall II, least vs most favourable clinical profiles at age 50 strongly predicted first cardiometabolic disease (HR ~3.7); socioeconomic and behavioural factors additionally predicted progression to multimorbidity and mortality.

Study at a glance

Design
Cohort — 12-year hospital administrative series of elderly inpatients
N
N=210169 · 290,833 hospitalizations from 2008–2019
Population
Elderly inpatients in a large Chinese hospital system
Outcome
Spectrum of chronic disease and multimorbidity among elderly inpatients

Structured fields used in claim comparison tables when every cited study has a complete layer.

Inspect source passages

How common is multimorbidity in elderly Chinese inpatients?

These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.

210,169 elderly patients and 290,833 hospitalizations (2008–2019).

A total of 210,169 elderly patients were hospitalized from January 1st, 2008 to December 31st, 2019. The corresponding number of hospitalizations was 290,833.

91.89% multimorbidity; mean 4.68 diseases; mean 5.4 medications.

the number of patients with two or more long-term health conditions was 267,259, accounting for 91.89%, with an average of 4.68 diseases. In addition, the average number of medications taken by the study population was 5.4, among which, the proportion of patients taking more than 5 types of medications accounted for 55.42%.
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Key findings

290,833 hospitalizations; mean age 72.67; 25.27% re-hospitalized within a year. Top diseases: malignant tumor, hypertension, ischemic heart disease, diabetes, cerebrovascular disease. Multimorbidity 91.89%; >5 medications in 55.42%.

Methodology

Analyzed PLA General Hospital inpatient records from 2008–2019 for disease constitution, multimorbidity, in-hospital death, and polypharmacy among elderly admissions.

Limitations

Single tertiary-center data may over-represent complex cases versus community elders; associations are descriptive, not causal treatment effects.

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