Prognostic Utility of Skeletal Muscle Mass Metrics in Patients With Heart Failure

Can J Cardiol. 2023 Nov;39(11):1630-1637. doi: 10.1016/j.cjca.2023.08.006. Epub 2023 Oct 6.

Abstract

Background: Sarcopenia is associated with risks of various adverse outcomes, and the assessment of skeletal muscle mass is necessary for its diagnosis. However, heart failure (HF) is a syndrome characterised by fluid retention, which affects muscle mass measurements. Different measurement methods have been reported to have different prognostic implications. We investigated the association between skeletal muscle mass metrics measured with the use of bioelectrical impedance analysis (BIA) and anthropometric measures and prognosis in patients with HF.

Methods: The findings of 869 consecutive patients with HF were reviewed. We investigated the skeletal muscle mass index (SMI) measured with the use of BIA, the mid-upper arm circumference (MUAC), the arm muscle circumference (AMC), and the calf circumference (CC), and the patients were divided into 3 groups according to the sex-specific tertiles of the skeletal muscle mass metrics. The end points were all-cause death and readmission due to HF.

Results: The high MUAC and AMC groups showed significantly better prognoses than their respective low groups (combined events: high MUAC group hazard ratio [HR] 0.559, 95% confidence interval [CI] 0.395-0.789 [P < 0.01]; high AMC group HR 0.505, 95% CI 0.359-0.710 [P < 0.01]), although high SMI and high CC were not associated with better prognoses.

Conclusions: Among patients with HF, MUAC and AMC are more associated with prognosis than SMI and CC, which are recommended in preexisting sarcopenia guidelines. MUAC and AMC may also be useful measures in sarcopenia assessments.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Female
  • Heart Failure* / complications
  • Heart Failure* / diagnosis
  • Humans
  • Male
  • Muscle, Skeletal
  • Prognosis
  • Proportional Hazards Models
  • Sarcopenia* / complications
  • Sarcopenia* / diagnosis