AI Article Synopsis

  • Bioelectrical impedance analysis (BIA) is explored as a body composition assessment method to detect sarcopenia in patients with liver cirrhosis, using skeletal muscle index (L3-SMI) from CT scans as a reference.
  • A study involving 106 patients found BIA parameters correlate fairly with L3-SMI, proposing cut-off values for BIA-SMI and phase angle to identify sarcopenia with varying sensitivity and specificity.
  • The research indicates that lower skeletal muscle mass significantly increases the relative risk of death and that BIA could serve as a simple, non-invasive method for the timely detection of sarcopenia in liver cirrhosis patients, warranting further investigation.

Article Abstract

Bioelectrical impedance analysis (BIA) is a body composition assessment method. We aimed to determine its accuracy in the detection of sarcopenia in patients with liver cirrhosis (LC), using skeletal muscle index (SMI) at the level of third lumbar vertebra (L3-SMI) obtained using multislice computed tomography as the reference method. Patients with LC were enrolled in the period October 2019-March 2022 and follow-ups were conducted until January 2023. Their BIA parameters were compared against L3-SMI, and BIA cut-off values were proposed using AUROC analysis. Patients underwent outcome analysis based on obtained clinical characteristics. A total of 106 patients were included. We found a fair correlation between BIA parameters with the L3-SMI. We determined cut-off values of ≤11.1 kg/m for BIA-SMI (Se 73%, Sp 66%, AUROC 0.737, < 0.001) and ≤5.05° for phase angle (PA) (Se 79%, Sp 60%, AUROC 0.762, < 0.001) in the detection of sarcopenia. The relative risk of death was 2.2 times higher in patients with skeletal muscle mass (SMM) ≤ 36.5 kg. SMM was significantly associated with outcome in Kaplan-Meier analysis. This non-invasive and simple method that showed fair performances and a very good outcome prediction could provide for the unmet need for fast and affordable detection of sarcopenia in patients with LC and should be further evaluated.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421520PMC
http://dx.doi.org/10.3390/nu15153335DOI Listing

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