Evidence map›Paper›PMID 40660112›Full record

ArticleBMC geriatrics2025

Prevalence and risk factors of sarcopenic dysphagia in elderly hospitalized patients: a retrospective cohort study based on data from a comprehensive geriatric assessment system.

Pingfeng He, Yaling Li, Fu Ding, Xintong Liu, Qiumei Lin

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Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Pingfeng He *Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yaling Li *Department of Geriatrics, The First Affiliated Hospital of Chongqing M edical University, Chongqing, 400016, China.
Fu DingDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. 201598@hospital.cqmu.edu.cn.
Xintong LiuDepartment of Geriatrics, The First Affiliated Hospital of Chongqing M edical University, Chongqing, 400016, China.
Qiumei LinDepartment of General Medicine, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing, 400014, China.

Funding

Key Projects for Technological Innovation and Application Development of Chongqing Science and Technology Bureau CSTB2022TIAD-KPX0165
6 · The paper itself

Abstract

backgroundSarcopenic Dysphagia (SD) is a relatively new concept, the prevalence of which has been reported abroad fluctuates greatly, and the risk factors need to be further explored.There is a lack of relevant research reports on this disease in older inpatients in China.

aimsTo investigate the prevalence and related factors of Sarcopenic Dysphagia in older inpatients in China.

methodsThe comprehensive geriatric assessment (CGA) datas were collected from January 2016 to February 2023 of one tertiary hospital in Chongqing, China. The datas including patients’ Body Mass Index (BMI), Daily Living Ability (ADL), Frailty Assessment, Mini Nutrition Assessment Scale (MNA), Chinese simplified Oral health Checklist, Charlson Comorbidity Index (CCI), Geriatric Depression Scale (GDS-5), Water Swallow Test (WST), etc.The prevalence rate of Sarcopenic Dysphagia was calculated by diagnostic algorithm. Risk factors were identified by univariate analysis and multivariable analysis.

resultsA total of 3515 patients with 560,712 datas were extracted, and 3134 patients with 520,244 datas were analysised. Among them, 633 patients (mean age 83.9 ± 5.4 years, male 41.86%, female 58.14%) were diagnosed as possible Sarcopenic Dysphagia, and the prevalence was 20.6%. Univariate analysis showed that total of 20 risk factors of SD, such as increasing age, frailty, oral weakness, marital status, primary caregivers, psychology, etc. (P < 0.05). Multivariate Logistic regression analysis showed that age (OR: 2.7, 95% CI: 1.8–4.2, p<0.001); BMI (OR: 0.2,95% CI: 0.2–0.3, p<0.001); frailty (OR: 11.9, 95% CI: 3.6–38.8, p<0.001); oral weakness (OR: 1.1, 95% CI: 1.1–1.2, p<0.001); primary caregivers (OR: 1.6, 95% CI: 1.2–2.3, p=0.006); ADL (OR: 6.6, 95% CI: 3.6–12.1, p<0.001); community activities (OR: 0.6, 95% CI: 0.4–0.9, p.0.02); housework (OR: 0.7, 95% CI: 0.5-1.0, p.0.04) were independent factors for SD.

conclusionThe prevalence rate of SD in older inpatients is high, which is related to many risk factors. It is necessary to detect SD as early as possible in clinical field in order to take early rehabilitation intervention.

Indexed as

Deglutition DisordersGeriatric AssessmentHospitalizationSarcopeniaAgedAged, 80 and overChinaCohort StudiesFemaleHumansMalePrevalenceRetrospective StudiesRisk FactorsComprehensive geriatric assessmentDysphagiaSarcopeniaSarcopenic dysphagia

Identifiers

PMID40660112
PMCPMC12257833

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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.