ArticleBMC geriatrics2024
Unveiling a hidden burden: exploring sarcopenia in hospitalized older patients through concordance and cluster analysis.
Article in BMC geriatrics, 2024. 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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Who cites it
4 citing papers in PubMed.
- European Working Group on Sarcopenia in Older People Algorithm: Step-by-Step Relation With Length of Hospitalization.Journal of the American Geriatrics Society · 2026Article
- Correlation between ZJU index and sarcopenia in elderly inpatients and its predictive value.Frontiers in medicine · 2026Article
- Association between body folate status and muscle mass: a cross-sectional study of the National Health and Nutrition Examination Survey 2011-2018.Journal of health, population, and nutrition · 2025Article
- Sarcopenic obesity is linked to worse clinical outcomes than sarcopenia or obesity alone in hospitalized older adults.BMC geriatrics · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
backgroundSarcopenia has been shown to be an important condition with the ability to predict negative health outcomes, especially in hospitalized older adults; hence, its accurate identification has an important role in the prognosis of older patients.
aimThe prevalence of sarcopenia among hospitalized older adults was assessed by employing three distinct diagnostic methods.
methodsOlder adults who were hospitalized were recruited. Bioelectrical impedance analysis was used to assess muscle mass and body composition. Sarcopenia was diagnosed via the European and Asian criteria and via a modified approach in which the Colombian cutoff points for handgrip and gait speed were used. Finally, a cluster analysis was performed to classify the population.
resultsThe prevalence rates of sarcopenia and severe sarcopenia ranged from 7.3 to 31.6%. The agreement between approaches revealed substantial or almost perfect agreement in 30% of the sarcopenia comparisons and 46.6% of the severe sarcopenia comparisons. The cluster analysis defined three different clusters. The first cluster was associated with increased age, BMI and body fat and poorer functional status and muscle. The second cluster was the healthiest, with high functional status and muscle mass. The third cluster had intermediate characteristics. DISCUSSION: This study highlights the requirements for standardized diagnostic criteria and precise body composition assessment tools in acute geriatric units and highlights the heterogeneity of older adults. Accurate assessment and well-defined diagnostic criteria will facilitate the implementation of appropriate management and interventions.
conclusionSarcopenia is highly prevalent in hospitalized older adults, but the adjusted criteria and the inclusion of other parameters must be considered in the assessment.
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