Hand-grip strength as a screening tool for sarcopenia in males with decompensated cirrhosis
Indian Journal of Gastroenterology(2022)
摘要
Background Skeletal muscle index (SMI), the gold standard for sarcopenia, cannot measure muscle strength and requires specialized software and training. Hand-grip strength (HGS) measurement is cheap, requires minimal training and directly reflects muscle strength. We assessed the performance of HGS as a screening tool for sarcopenia in male patients with decompensated cirrhosis (DC). Methods Consecutive male DC patients ( n =155) were enrolled. Baseline liver functions, etiologic work-up and anthropometric measurements were done. SMI was determined from computed tomography (CT) images at L3 level using ImageJ software. Sarcopenia was diagnosed using SMI cut-off <42 cm 2 /m 2 as suggested by the Indian National Association for Study of the Liver. HGS was assessed using a hand-grip dynamometer. Diagnostic performance of HGS for discriminating sarcopenia was described using receiver operating characteristic (ROC) analysis. Diagnostic performance of different HGS cut-offs was assessed. Findings were internally validated using bootstrapping. Results Mean HGS and SMI were 25.73 ± 5.94 kg and 47.72 ± 8.71 cm 2 /m 2 , respectively. HGS showed modest correlation with SMI (tau: 0.31, p <0.001). Sarcopenia was seen in 41 (26.5%) patients. Age and HGS were independent predictors of sarcopenia on multivariate analysis. Area under the ROC curve (AUROC) of HGS for detecting sarcopenia was 0.73 ( p <0.001). Optimal cut-off for using HGS as a screening tool was ≤31 kg (sensitivity: 37/41 [90.2%]; specificity: 29/114 [25.4%]; positive predictive value [PPV] : 37/122 [30.3%]; and negative predictive value [NPV]: 29/33 [87.9%]). Conclusion Prevalence of sarcopenia in Indian male patients with DC is 26.5%. HGS is an independent predictor of sarcopenia and can be used as a screening tool to stratify the need for confirmatory CT-based assessment of sarcopenia.
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关键词
Decompensated cirrhosis, Hand grip dynamometry, Malnutrition, Sarcopenia, Skeletal muscle index
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