Detection of Sarcopenia in Patients with Liver Cirrhosis Using the Bioelectrical Impedance Analysis

Author:

Bozic Dorotea1,Grgurevic Ivica234ORCID,Mamic Bisera5,Capkun Vesna6,Bilandzic-Ivisic Josipa1,Ivanovic Tomislav7,Bozic Ivona8,Zaja Ivan1,Podrug Kristian1,Puljiz Zeljko19,Perko Zdravko79,Mikolasevic Ivana1011

Affiliation:

1. Department of Gastroenterology, University Hospital of Split, Spinciceva 1, 21000 Split, Croatia

2. Department of Gastroenterology, Hepatology and Clinical Nutrition, Clinical Hospital Dubrava, Avenija Gojka Suska 6, 10000 Zagreb, Croatia

3. School of Medicine, University of Zagreb, Salata 3, 10000 Zagreb, Croatia

4. Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovacica 1, 10000 Zagreb, Croatia

5. Department of Oncology and Radiotherapy, University Hospital of Split, Spinciceva 1, 21000 Split, Croatia

6. Department of Nuclear Medicine, University Hospital of Split, Spinciceva 1, 21000 Split, Croatia

7. Department of Abdominal Surgery, University Hospital of Split, Spinciceva 1, 21000 Split, Croatia

8. Department of Rheumatology and Immunology, University Hospital of Split, Soltanska 2, 21000 Split, Croatia

9. School of Medicine, University of Split, Soltanska 2, 21000 Split, Croatia

10. Department of Oncology and Radiotherapy, University Hospital Center Rijeka, Kresimirova 42, 51000 Rijeka, Croatia

11. School of Medicine, University of Rijeka, Brace Branchetta 20/1, 51000 Rijeka, Croatia

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/m2 for BIA-SMI (Se 73%, Sp 66%, AUROC 0.737, p < 0.001) and ≤5.05° for phase angle (PA) (Se 79%, Sp 60%, AUROC 0.762, p < 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.

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

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