ArticleInternational journal of cardiology. Heart & vasculature2023
Impact of simple equation for estimating appendicular skeletal muscle mass in patients with stable coronary artery disease undergoing percutaneous coronary intervention.
Article in International journal of cardiology. Heart & vasculature, 2023. 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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4 citing papers in PubMed.
- Association between sleep duration and sarcopenic obesity: The mediating role of hemoglobin level.PloS one · 2026Article
- Segmental Bioimpedance Phase Angles for Frailty Detection in Hospitalized Older Adults with Cardiovascular Disease: A Cross-Sectional Observational Study.Healthcare (Basel, Switzerland) · 2025Article
- Recent highlights on coronary artery disease from theInternational journal of cardiology. Heart & vasculature · 2023Article
- Associations of sarcopenic obesity with chronic lung disease and peak expiratory flow in middle-aged and older adults: A cohort study based on CHARLS and ELSA.Chronic respiratory diseaseArticle
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13 authors.
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Abstract
Background: Sarcopenia, which is evaluated based on appendicular skeletal muscle mass (ASM) using dual-energy X-ray absorptiometry and bioelectrical impedance analysis, is a prognostic predictor for adverse outcomes in patients with coronary artery disease (CAD). However, a simple equation for estimating ASM is yet to be validated in clinical practice. Methods: We enrolled 2211 patients with CAD who underwent percutaneous coronary intervention at our hospital between 2010 and 2017. The mean age was 68 years and 81.5 % were men. Patients were divided into 2 groups based on each ASM index (ASMI): low; male < 7.3 and female < 5.0 and high; male ≥ 7.3 and female ≥ 5.0. ASM was calculated using the following equation: 0.193 × bodyweight + 0.107 × height - 4.157 × gender - 0.037 × age - 2.631. Primary endpoints were major adverse cardiac events (MACE, which includes cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, and hospitalization for heart failure), and all-cause mortality. Results: During the median follow-up period of 4.8 years, cumulative incidence of events were significantly higher in the low ASMI group. Cox proportional hazards model revealed that the low ASMI group had a significantly higher risk of primary endpoints than the high ASMI group (all-cause mortality; hazard ratio (HR): 2.13, 95 % confidence interval [CI]: 1.40-3.22, p < 0.001 and 4-point MACE; HR: 1.72, 95 % CI: 1.12-2.62, p = 0.01). Similar trends were observed after stratification by age of 65 years. Conclusion: Low ASMI, evaluated using the aforementioned equation, is an independent predictor of MACE and all-cause mortality in patients with CAD.
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