Bedside Measures of Frailty and Cognitive Function Correlate with Sarcopenia in Patients with Cirrhosis
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Frailty and sarcopenia are associated with mortality and poor outcomes among patients with cirrhosis. Frailty is multifactorial but due in part to sarcopenia and cognitive dysfunction. Data are limited regarding the correlation of bedside frailty and cognitive function measures with sarcopenia.
To evaluate the correlations between frailty measures and muscle indices from computed tomography (CT).
We prospectively enrolled 106 patients with clinically compensated cirrhosis (and no prior hepatic encephalopathy). All patients underwent CT scan and cognitive testing (via inhibitory control test, ICT), and were subject to hand grip, 30-s chair stands, mid-arm muscle area (MAMA), and a four-question algorithm based on the Sickness Impact Profile (SIP) predictive of minimal HE. We evaluated Spearman correlations between all measures as well as the sensitivity and specificity of each measure for falls.
In total, 106 (35.3%) patients (55 men) had CT scans to measure skeletal muscle area and quality. Hand grip correlated strongly with skeletal muscle area (correlation coefficient 0.64, p < 0.001) and mildly with ICT performance (0.34, p = 0.002). However, for women, the strongest correlation with hand grip was ICT performance (0.60, p < 0.001). Chair stand performance correlated best with SIP (correlation coefficient − 0.35, p < 0.001). MAMA was not correlated with CT-based muscle indices among women but was for men. Poor chair stand performance (< 10/30-s) had a sensitivity/specificity for falls of 73%/54%; low muscle radiation attenuation (density) was 40%/80% sensitive/specific.
Bedside measures of physical function, muscle bulk, and cognitive performance are correlated with CT-based muscle measures. Bedside measures of frailty may provide an advantage over sarcopenia for outcome assessment that should be confirmed prospectively.
KeywordsLiver disease Falls Portal hypertension Hepatic encephalopathy
Elliot Tapper receives funding from the National Institutes of Health through the Michigan Institute for Clinical and Health Research (KL2TR002241).
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Conflict of interest