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. 2022 Dec;9(6):4358-4365.
doi: 10.1002/ehf2.14121. Epub 2022 Sep 6.

Anthropometric parameters-derived estimation of muscle mass predicts all-cause mortality in heart failure patients

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Anthropometric parameters-derived estimation of muscle mass predicts all-cause mortality in heart failure patients

Satoshi Katano et al. ESC Heart Fail. 2022 Dec.

Abstract

Aims: Reduction in appendicular skeletal muscle mass index (ASMI) assessed by dual-energy X-ray absorptiometry (DEXA) has been shown to be independently associated with a higher mortality rate in patients with heart failure (HF). However, DEXA is not suitable for measurement of muscle mass in a daily clinical setting and in large population-based studies. The aim of this study was to determine whether ASMI predicted from anthropometric indicators (predicted ASMI) serves as an alternative to DEXA-measured ASMI for predicting all-cause death in HF patients.

Methods and results: Data for 539 HF patients who received a DEXA scan and measurements of calf circumferences (CC) and mid-arm circumferences (MAC) in our hospital were analysed. Predicted ASMI was calculated as we previously reported: predicted ASMI (kg/m2 ) = [0.214 × weight (kg) + 0.217 × CC (cm) - 0.189 × MAC (cm) + 1.098 (male = 1, female = -1) + 0.576]/height2 (m2 ). Low ASMI values were defined as <7.00 kg/m2 and <5.40 kg/m2 for men and women, respectively, according to the criteria of the Asian Working Group for Sarcopenia. The median follow-up period was 1.75 years (interquartile range, 0.96-2.37 years), and 79 patients (15%) died. Kaplan-Meier survival curves showed that patients with low DEXA-measured ASMI and patients with low predicted ASMI had significantly lower survival rates than those for patients with high ASMI. In multivariate Cox proportional hazard analyses adjusted for age, sex, logarithmic B-type natriuretic peptide, cystatin C based-estimated glomerular filtration rate, and gait speed, DEXA-measured ASMI [hazard ratio (HR), 0.982; 95% confidence interval (CI), 0.967-0.998; P = 0.026] and predicted ASMI (HR, 0.979; 95% CI, 0.962-0.996; P = 0.018) were independent predictors of all-cause mortality. Inclusion of predicted ASMI into the adjustment model significantly improved continuous net reclassification improvement (0.338; 95% CI, 0.103-0.572; P < 0.01) and integrated discrimination improvement (0.020; 95% CI, 0.004-0.035; P < 0.05) for predicting mortality after discharge.

Conclusions: Predicted ASMI, as well as DEXA-measured ASMI, can predict all-cause death in HF patients, and calculation of predicted ASMI will be useful for detecting high-risk patients in a daily clinical setting and in large population-based studies.

Keywords: Calf circumference; Dual-energy X-ray absorptiometry; Heart failure; Mortality; Muscle mass; Sarcopenia.

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Conflict of interest statement

None declared.

Figures

Figure 1
Figure 1
Flow chart of inclusion of patients. DEXA, dual‐energy X‐ray absorptiometry; HF, heart failure.
Figure 2
Figure 2
Kaplan–Meier event‐free survival curves in patients with heart failure (HF). HF patients were divided into two groups according to the cut‐off values of appendicular skeletal muscle mass index (ASMI) for muscle wasting, that is, reduction in muscle mass. The cut‐off values for ASMI used in this study were <7.00 and <5.40 kg/m2 for males and females, respectively, according to the criteria of the Asian Working Group for Sarcopenia. (A) ASMI measured by dual‐energy X‐ray absorptiometry. (B), Anthropometric indicators‐derived ASMI (predicted ASMI). Predicted ASMI was calculated by using an equation we previously developed: predicted ASMI (kg/m2) = [0.214 × weight (kg) + 0.217 × CC (cm) − 0.189 × MAC (cm) + 1.098 (male = 1, female = −1) + 0.576]/height2 (m2). ASMI, appendicular skeletal muscle mass index; CC, calf circumferences; HF, heart failure; MAC, mid‐arm circumferences.

References

    1. Buckinx F, Landi F, Cesari M, Fielding RA, Visser M, Engelke K, Maggi S, Dennison E, al‐Daghri NM, Allepaerts S, Bauer J, Bautmans I, Brandi ML, Bruyère O, Cederholm T, Cerreta F, Cherubini A, Cooper C, Cruz‐Jentoft A, McCloskey E, Dawson‐Hughes B, Kaufman JM, Laslop A, Petermans J, Reginster JY, Rizzoli R, Robinson S, Rolland Y, Rueda R, Vellas B, Kanis JA. Pitfalls in the measurement of muscle mass: A need for a reference standard. J Cachexia Sarcopenia Muscle. 2018; 9: 269–278. - PMC - PubMed
    1. von Haehling S, Garfias Macedo T, Valentova M, Anker MS, Ebner N, Bekfani T, Haarmann H, Schefold JC, Lainscak M, Cleland JGF, Doehner W, Hasenfuss G, Anker SD. Muscle wasting as an independent predictor of survival in patients with chronic heart failure. J Cachexia Sarcopenia Muscle. 2020; 11: 1242–1249. - PMC - PubMed
    1. Konishi M, Akiyama E, Matsuzawa Y, Sato R, Kikuchi S, Nakahashi H, Maejima N, Iwahashi N, Kosuge M, Ebina T, Hibi K, Misumi T, Haehling S, Anker SD, Tamura K, Kimura K. Prognostic impact of muscle and fat mass in patients with heart failure. J Cachexia Sarcopenia Muscle. 2021; 12: 568–576. - PMC - PubMed
    1. Konishi M, Kagiyama N, Kamiya K, Saito H, Saito K, Ogasahara Y, Maekawa E, Misumi T, Kitai T, Iwata K, Jujo K, Wada H, Kasai T, Nagamatsu H, Ozawa T, Izawa K, Yamamoto S, Aizawa N, Makino A, Oka K, Momomura SI, Matsue Y. Impact of sarcopenia on prognosis in patients with heart failure with reduced and preserved ejection fraction. Eur J Prev Cardiol. 2021; 28: 1022–1029. - PubMed
    1. Wijnhoven HA, van Bokhorst‐de van der Schueren M, Heymans MW, de Vet HC, Kruizenga HM, Twisk JW, Visser M. Low mid‐upper arm circumference, calf circumference, and body mass index and mortality in older persons. J Gerontol A Biol Sci Med Sci. 2010; 65: 1107–1114. - PMC - PubMed

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