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Interaction of Skeletal and Left Ventricular Mass in Older Adults with Low Muscle Performance
Author(s) -
Pelà Giovanna,
Tagliaferri Sara,
Perrino Felice,
Bussolati Giacomo,
Longobucco Yari,
Zerbinati Luna,
Adorni Elisa,
Calvani Riccardo,
Cesari Matteo,
Cherubini Antonio,
Bernabei Roberto,
Di Bari Mauro,
Landi Francesco,
Marzetti Emanuele,
Lauretani Fulvio,
Maggio Marcello
Publication year - 2021
Publication title -
journal of the american geriatrics society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.992
H-Index - 232
eISSN - 1532-5415
pISSN - 0002-8614
DOI - 10.1111/jgs.16812
Subject(s) - medicine , sarcopenia , lean body mass , population , body mass index , skeletal muscle , muscle mass , cardiology , body weight , environmental health
BACKGROUND It was recently hypothesized the existence of “cardiac‐skeletal muscle axis.” However, the relationship between skeletal muscle mass (SMM) and left ventricular mass (LVM) has never been investigated in the specific group of older individuals with low skeletal mass and physical performance. We tested this hypothesis in the SPRINT‐T ( S arcopenia and P hysical Frailty IN older people: multicomponen T Treatment strategies T rial) population using LVM as independent variable and SMM as dependent variable. METHODS SMM was assessed by dual‐energy X‐ray absorptiometry scan and expressed as appendicular lean mass (ALM), and LVM was estimated through echocardiography. Low ALM was defined according to Foundation for the National Institutes of Health Sarcopenia Project criteria, and Short Physical Performance Battery (SPPB) was used to assess physical performance. RESULTS The population consisted of 100 persons (33 men and 67 women), aged 70 years or older (mean age = 79 ± 5 years) with low ALM and SPPB ranged between 3 and 9, suggestive of physical frailty. Charlson Comorbidity Index median score was 0. Mean value of LVM was 193 ± 67 g, indexed LVM/body surface area (LVM/BSA) was 112 ± 33 g/m 2 , and cardiac output (CO) was 65 ± 19 L/min. ALM was strongly and positively correlated with LVM (r = 0.54602; P < .0001), LVM/BSA (r = 0.30761; P < .002), CO (r = 0.49621; P < .0001), body mass index (BMI) (r = 0.52461; P < .0001), sex (r = 0.77; P < .001), fat mass (r = 0.38977; P < .0001), and hemoglobin (Hb) (r = 0.26001; P < .01). In the multivariate analysis, LVM (β = .019 ± .005; P < .0001), CO (β = .038 ± .016; P = .019), BMI (β = .286 ± .051; P < .0001), and Hb (β = .544 ± .175; P = .0025) remained associated to ALM. CONCLUSIONS In a sample of older persons with low muscle mass and physical performance, LVM was positively and significantly correlated with ALM, independently from blood pressure, physical activity, and other potential confounders. Future studies are needed to address the effect of interventions targeting LVM and SMM.