Published in:
24-05-2023 | Computed Tomography | Original Article
Simple bedside tests of muscle strength and function correlate with computed tomography-skeletal muscle index for assessment of sarcopenia in cirrhosis
Authors:
Surender Singh, Sunil Taneja, Akash Roy, Sahaj Rathi, Arka De, Nipun Verma, Madhumita Premkumar, Ajay Duseja, R. K. Dhiman, Virendra Singh
Published in:
Indian Journal of Gastroenterology
|
Issue 3/2023
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Abstract
Background
Sarcopenia assessment can be done by skeletal muscle index (SMI) or bedside tests such as handgrip strength (HGS) and gait speed (GS).
Goals
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.
Study
As many as 116 outpatients 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.
Results
Alcoholic liver disease (47.4%) was the commonest 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 the strongest correlation with HGS, whereas FSS correlated well (ρ = 0.77) with GS.
Conclusions
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.