Chien-Min Kung, Cheng-Chuan Liu
Department of Medical Laboratory Science and Biotechnology, College of Medical Technology, Nursing and Wellbeing, Yuanpei University of Medical Technology, Hsinchu, Taiwan
Department of Medical Laboratory Science and Biotechnology, College of Medical Technology, Nursing and Wellbeing, Yuanpei University of Medical Technology, Hsinchu, Taiwan.
Ann Clin Lab Sci. 2017 Mar;47(2):191-200.
In this study, predictive panels were constructed and validated to recognize an individual with and without nonalcoholic fatty liver disease (NAFLD) based on clinical and biochemical criteria.
Two hundred and thirty six non-alcoholic adults with no chronic viral hepatitis history were recruited from a medical center in Taiwan in 2013. All subjects were examined for body mass index (BMI), abdominal ultrasonography, blood liver function tests (including alanine aminotransferase [ALT], aspartate aminotransferase [AST], gamma glutamyl transpeptidase [GGT]), blood lipids (total cholesterol [TC] and triglyceride [TG]) and blood glucose (BG) tests.
NAFLD was observed in 66.97% of subjects. BMI (<0.001), ALT (<0.001), AST (=0.014), GGT (=0.034), TC (=0.026), TG (<0.001) and BG (<0.001) were significantly higher for subjects with NAFLD than subjects without NAFLD. The BMI results (<0.001), TG (<0.001), ALT (<0.001), BG (<0.001), AST (=0.001), and GGT (=0.001) correlated well with the extent of NAFLD. The increasing risks of NAFLD are hypertriglyceridemia (<0.001), high ALT (<0.001), high GGT (=0.009), and hypercholesterolemia (=0.017). Moreover, NAFLD was observed in 98.5% (<0.001) of subjects with three clinical manifestations of body overweight, hypertriglyceridemia and high ALT. Additionally, NAFLD was observed in 96.5% (<0.001) of subjects with other tri-criteria (body overweight, hypertriglyceridemia, and hypercholesterolemia), or 92.6% (<0.001) of subjects with another tri-criteria (body overweight, hypertriglyceridemia, and high GGT).
The tri-criteria of diagnoses can accurately predict the surveillance of NAFLD.
在本研究中,构建并验证了预测模型,以根据临床和生化标准识别患有和未患有非酒精性脂肪性肝病(NAFLD)的个体。
2013年从台湾的一家医疗中心招募了236名无慢性病毒性肝炎病史的非酒精性成年人。对所有受试者进行体重指数(BMI)、腹部超声检查、肝功能血液检测(包括丙氨酸氨基转移酶[ALT]、天冬氨酸氨基转移酶[AST]、γ-谷氨酰转肽酶[GGT])、血脂(总胆固醇[TC]和甘油三酯[TG])以及血糖(BG)检测。
66.97%的受试者被观察到患有NAFLD。患有NAFLD的受试者的BMI(<0.001)、ALT(<0.001)、AST(=0.014)、GGT(=0.034)、TC(=0.026)、TG(<0.001)和BG(<0.001)显著高于未患有NAFLD的受试者。BMI结果(<0.001)、TG(<0.001)、ALT(<0.001)、BG(<0.001)、AST(=0.001)和GGT(=0.001)与NAFLD的严重程度密切相关。NAFLD风险增加的因素为高甘油三酯血症(<0.001)、高ALT(<0.001)、高GGT(=0.009)和高胆固醇血症(=0.017)。此外,在有身体超重、高甘油三酯血症和高ALT这三种临床表现的受试者中,98.5%(<0.001)被观察到患有NAFLD。另外,在有其他三项标准(身体超重、高甘油三酯血症和高胆固醇血症)的受试者中,96.5%(<0.001)被观察到患有NAFLD,或者在有另一组三项标准(身体超重、高甘油三酯血症和高GGT)的受试者中,92.6%(<0.001)被观察到患有NAFLD。
诊断的三项标准可以准确预测NAFLD的监测情况。