Abstract

Sarcopenia assessment can be done by skeletal muscle index (SMI) or bedside tests such as handgrip strength (HGS) and gait speed (GS). This study evaluated the correlations of HGS and GS with SMI, health-related quality of life (HRQOL) and cognition and assessed them as predictors of mortality. As many as 116outpatients with cirrhosis were included in this prospective cohort study. Assessment for sarcopenia was done by SMI, HGS and GS. HRQOL was assessed using the chronic liver disease questionnaire (CLDQ) and fatigue severity scale (FSS). Cognition was assessed by mini-mental state examination (MMSE). Correlations of HGS and GS with SMI, HRQOL and cognition were analyzed. Area under the curve (AUCs) were calculated to compare them as predictors of mortality. Alcoholic liver disease (47.4%) was thecommonest etiology of cirrhosis followed by hepatitis C (12.9%). Sarcopenia was diagnosed in 64 (55.2%) patients. A strong correlation was seen between SMI and HGS (ρ = 0.78) and GS (ρ = 0.65). AUCs of GS (0.91 (95% confidence interval [CI], 0.85-0.96) was maximum, followed by HGS (95% CI, 0.86 [0.78-0.93] and SMI [95% CI, 0.8 0.71-0.88]) in predicting mortality (p > 0.05). CLDQ (3.2 vs. 5.6, p < 0.01) and MMSE scores (24.3 vs. 26.3, p < 0.01) were lower, whereas FSS score (5.7 vs. 3.1, p < 0.01) was higher in patients with sarcopenia. CLDQ (ρ = 0.83) and MMSE (ρ = 0.73) showed thestrongest correlation with HGS, whereas FSScorrelated well (ρ = 0.77) with GS. Bedside tests of muscle strength and function, including HGS and GS, correlate strongly with SMI for sarcopenia assessment and prediction of mortality in patients with cirrhosis.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call