Choi Jong Wook, Lee Chang Hwa, Park Joon-Sung
Department of Internal Medicine, Konkuk University Chungju Hospital, Chungju, Republic of Korea.
Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
PeerJ. 2019 Mar 8;7:e6524. doi: 10.7717/peerj.6524. eCollection 2019.
Non-alcoholic fatty liver disease (NAFLD) is closely linked to insulin resistance and related adverse health outcomes. We investigated the non-invasive index of NAFLD that has the best performance in estimating the renal manifestations of metabolic disturbances. This nation-wide, cross-sectional study included 11,836 subjects, using various non-invasive assessments comprising routinely measured clinical and laboratory variables. The subjects were native Koreans aged 20 years or older and had no diabetes, history of liver or kidney disease. All participants were divided into quintiles according to their fibrosis-4 (FIB-4) results. Participants in the highest quintile were more hypertensive and obese with greater glycemic exposure, poor lipid profiles, and impaired kidney function, than those in the other quintiles. Multiple logistic regression, adjusted for age, sex, smoking, systolic blood pressure, white blood cell, platelet, fasting plasma glucose, and triglyceride, demonstrated that FIB-4, the hepatic steatosis index, the aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio, Gholam's model for non-alcoholic steatohepatitis, and the BARD score were independently associated with kidney dysfunction. ROC curve analysis revealed that FIB-4 (AUC = 0.6227, 95% CI [0.5929-0.6526], = 0.0258) was the most precise in predicting kidney dysfunction. Our findings suggest that FIB-4 may be a favorable screening tool for the renal manifestation of hepatic metabolic disturbances.
非酒精性脂肪性肝病(NAFLD)与胰岛素抵抗及相关不良健康结局密切相关。我们研究了在评估代谢紊乱的肾脏表现方面性能最佳的NAFLD非侵入性指标。这项全国性横断面研究纳入了11836名受试者,采用了包括常规测量的临床和实验室变量在内的各种非侵入性评估方法。受试者为20岁及以上的韩国本土居民,且无糖尿病、肝脏或肾脏疾病史。所有参与者根据其纤维化-4(FIB-4)结果分为五个五分位数组。最高五分位数组的参与者比其他五分位数组的参与者患高血压和肥胖的几率更高,血糖暴露更高,血脂谱较差,且肾功能受损。在对年龄、性别、吸烟、收缩压、白细胞、血小板、空腹血糖和甘油三酯进行校正的多因素逻辑回归分析中,结果表明FIB-4、肝脂肪变性指数、天冬氨酸氨基转移酶/丙氨酸氨基转移酶(AST/ALT)比值、非酒精性脂肪性肝炎的Gholam模型以及BARD评分均与肾功能不全独立相关。ROC曲线分析显示,FIB-4(AUC = 0.6227,95%CI[0.5929 - 0.6526],P = 0.0258)在预测肾功能不全方面最为精确。我们的研究结果表明,FIB-4可能是一种用于筛查肝脏代谢紊乱肾脏表现的良好工具。