Hwang S, Yu Y D, Park G C, Park P J, Choi Y I, Choi N K, Kim K W, Song G W, Jung D H, Yun J S, Choi S Y, Lee S G
Division of Hepatobiliay Surgery and Liver Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Transplant Proc. 2010 Jun;42(5):1492-6. doi: 10.1016/j.transproceed.2010.03.137.
To assess whether bioelectrical impedance analysis (BIA) can be used to evaluate the degree of hepatic steatosis in potential living liver donors.
From May 2008 to April 2009, BIA was measured in 302 living donor candidates. Correlations among body mass index (BMI; calculated as weight in kilograms divided by height in meters squared), total fatty changes at percutaneous needle liver biopsy, and BIA-derived fat composition were assessed.
The median (range) BIA-derived fat proportion was 19.4% (4.8%-35.3%), BMI was 24 (17-39), and hepatic steatosis at liver biopsy was 2% (0%-75%). Crude correlations were observed between BIA-derived fat proportion and hepatic steatosis (r(2) = 0.14; P = .000), between BMI and hepatic steatosis (r(2) = 0.27; P = .000), and between BMI and BIA-derived fat proportion (r(2) = .25; P = .000). Receiver operating characteristic curve analysis revealed that the area under the curve of BIA-derived fat proportion was smaller than that of BMI, and no significant cutoff value was identified.
These results suggest that BIA-derived fat composition alone cannot be used to accurately determine the degree of hepatic steatosis. However, a combination of BMI and BIA-derived fat composition may increase clinical ability to assess hepatic steatosis.
评估生物电阻抗分析(BIA)是否可用于评估潜在活体肝供者的肝脂肪变性程度。
2008年5月至2009年4月,对302名活体供者候选人进行了BIA测量。评估了体重指数(BMI;计算方法为体重(千克)除以身高(米)的平方)、经皮肝穿刺活检的总脂肪变化与BIA得出的脂肪成分之间的相关性。
BIA得出的脂肪比例中位数(范围)为19.4%(4.8%-35.3%),BMI为24(17-39),肝活检时的肝脂肪变性为2%(0%-75%)。观察到BIA得出的脂肪比例与肝脂肪变性之间的粗略相关性(r(2)=0.14;P=.000),BMI与肝脂肪变性之间的相关性(r(2)=0.27;P=.000),以及BMI与BIA得出的脂肪比例之间的相关性(r(2)=.25;P=.000)。受试者工作特征曲线分析显示,BIA得出的脂肪比例的曲线下面积小于BMI的曲线下面积,且未确定显著的临界值。
这些结果表明,仅BIA得出的脂肪成分不能准确确定肝脂肪变性程度。然而,BMI与BIA得出的脂肪成分相结合可能会提高评估肝脂肪变性的临床能力。