Evidence map›Paper›PMID 36852679›Full record

ArticleJournal of cachexia, sarcopenia and muscle2023

Associations between multimorbidity and frailty transitions among older Americans.

Yan Luo, Yuming Chen, Kaipeng Wang, Carson M De Fries, Ziting Huang, Huiwen Xu, Zhou Yang, Yonghua Hu, Beibei Xu

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In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
–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

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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

9 authors.

Yan LuoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuming ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Kaipeng WangGraduate School of Social Work, University of Denver, Denver, CO, USA.
Carson M De FriesGraduate School of Social Work, University of Denver, Denver, CO, USA.
Ziting HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Huiwen XuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zhou YangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yonghua HuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Beibei XuMedical Informatics Center, Peking University, Beijing, China.

Funding

National Natural Science Foundation of China 81703304National Natural Science Foundation of China 81973130
6 · The paper itself

Abstract

backgroundThe associations of multimorbidity patterns with transitions between frailty states remain unclear in older individuals.

methodsWe used data from the National Health and Aging Trends Study 2011-2019. Frailty was measured annually using the Fried frailty phenotype. Multimorbidity patterns at baseline were identified using latent class analysis based on 14 chronic conditions. We used the semi-Markov multi-state model to investigate the influences of multimorbidity characterized by condition counts and patterns on subsequent frailty transitions over follow-ups.

resultsAmong 9450 participants aged ≥65 years at baseline, 34.8% were non-frail, 48.1% were pre-frail and 17.0% were frail. Over a median follow-up of 4.0 years, 16 880 frailty transitions were observed, with 10 527 worsening and 6353 improving. For 7675 participants with multimorbidity, four multimorbidity patterns were identified: osteoarticular pattern (62.4%), neuropsychiatric-sensory pattern (17.2%), cardiometabolic pattern (10.3%) and complex multimorbidity pattern (10.1%). Compared with no disease, multimorbidity was significantly associated with an increased risk of worsening transitions, including from non-frail to pre-frail (hazard ratio [HR] = 1.35; 95% confidence interval [CI] = 1.21-1.52), from non-frail to frail (HR = 1.68; 95% CI = 1.04-2.73), from pre-frail to frail (HR = 2.19; 95% CI = 1.66-2.90) and from pre-frail to death (HR = 1.64; 95% CI = 1.11-2.41). Compared with the osteoarticular pattern, neuropsychiatric-sensory, cardiometabolic and complex multimorbidity patterns had a significantly higher risk of worsening frailty (all P < 0.05).

conclusionsMultimorbidity was associated with dynamic transitions between frailty states and death among older American adults, and the associations varied across multimorbidity patterns. The findings could offer significant implications for public health policymakers in planning interventions and healthcare resources. They also might inform clinicians regarding providing targeted clinical treatment and health management based on multimorbidity patterns of older people.

Indexed as

Cardiovascular DiseasesFrailtyAgedAgingFrail ElderlyHumansMultimorbidityUnited Statesfrailtymultimorbidity patternolder adultstransition

Identifiers

PMID36852679
PMCPMC10067509

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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.