ArticleBMC geriatrics2026
Gluteus maximus cross-sectional area/density in 1-year mortality prediction for oldest-old hip fracture patients.
Article in BMC geriatrics, 2026. 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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Abstract
backgroundSarcopenia is a prevalent issue among older patients with hip fracture and is a risk factor for poor clinical outcomes. Computed tomography (CT)-derived muscle density and areawere reported to predict the prognosis of fracture patients. This study aimed to assess the efficacy of these CT-based muscle parameters in predicting 1-year mortality in the oldest-old patients with hip fracture (≥ 80 years).
methodsA retrospective study was conducted on 324 hip fracture patients aged ≥ 80 years from 2018 to 2022. The cross-sectional area (CSA) and Hounsfield units (HU) of periarticular hip muscles were measured from CT images. The primary outcome was 1-year mortality. A multivariate logistic regression model was constructed, and its performance was assessed using ROC analysis, calibration curves, and Hosmer-Lemeshow testing. A nomogram was developed for model visualization and early clinical application.
resultsThe 1-year mortality rate in this cohort was 13.0% (42/324). Survivors and non-survivors significantly differed in age, red blood cells (RBC), platelets, albumin, urea, and gluteal muscle parameters (all P < 0.05). Multivariate analysis identified four mortality predictors: older age (P = 0.048), lower albumin (P = 0.025), reduced gluteal density (P = 0.031), and smaller muscle area (P = 0.045). Gluteus maximus density and area independently predicted 1-year mortality (P < 0.05) in oldest-old hip fracture patients. Our predictive model incorporating age, muscle density, albumin, and muscle area showed a moderate predictive value (AUC = 0.741).
conclusionThis CT-based method offers a practical alternative to traditional sarcopenia assessments, facilitating early risk identification in this hip fracture population.
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