Sarcopenia Prognosis Using Dual-energy X-ray Absorptiometry and Prediction Model in Older Patients with Heart Failure
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Aims: This study aimed to determine whether there is a difference in the prognostic value of sarcopenia diagnosed using dual-energy X-ray absorptiometry (DEXA) and that predicted by prediction equations in older patients with heart failure (HF).
Methods And Results: We included 269 patients (aged ≥65 years) who were hospitalized for HF. We used two appendicular skeletal muscle mass (ASM) prediction equations: (i) Anthropometric-ASM, including age, sex, height, and weight, and (ii) Predicted-ASM, including sex, weight, calf circumference, and mid-arm circumference. ASM index (ASMI) was calculated by dividing the sum of the ASM in the extremities by the height squared (kg/m). The cut-off values proposed by the Asian Working Group for Sarcopenia 2019 were used to define low ASMI. The prognostic endpoint was all-cause mortality. The median age of the cohort was 83 years [interquartile range (IQR): 75-87], and 135 patients (50.2%) were men. Sarcopenia diagnosed according to DEXA, Anthropometric measurements, and Predicted-ASM was observed in 134 (49.8%), 171 (63.6%), and 157 (58.4%) patients, respectively. During the median follow-up period of 690 days (IQR: 459-730), 54 patients (19.9%) died. DEXA-sarcopenia [hazard ratio (HR), 2.33; 95% confidence interval (CI), 1.26-4.31; P = 0.007] was associated with all-cause mortality after adjusting for pre-existing risk factors, whereas Predicted-sarcopenia (HR, 1.68; 95% CI, 0.87-3.25; P = 0.123) and Anthropometric-sarcopenia (HR, 1.64; 95% CI, 0.86-3.12; P = 0.132) were not.
Conclusions: Sarcopenia diagnosed using DEXA was associated with poor prognosis in older patients with HF; however, the prediction equations were not.
Cai X, Liu M, Qin P, Tang S, He L, Lei J JACC Adv. 2025; 4(2):101553.
PMID: 40014883 PMC: 11877227. DOI: 10.1016/j.jacadv.2024.101553.
Saito H, Matsue Y, Maeda D, Kagiyama N, Endo Y, Yoshioka K ESC Heart Fail. 2024; 11(2):914-922.
PMID: 38212896 PMC: 10966247. DOI: 10.1002/ehf2.14667.