南京地区事业单位老年人群非酒精性脂肪肝相关代谢指标分析

目的 调查2016年南京地区事业单位老年体检人群非酒精性脂肪肝(NAFLD)患病率,并分析NAFLD与三酰甘油葡萄糖乘积指数(TyG指数)等代谢指标的相关性.方法 选择2016年1月—2017年1月于南京大学医学院附属鼓楼医院体检中心进行健康体检的南京市事业单位老年受检者为研究对象.分析其人口学特征、生化及B超检查结果...

Analysis of related metabolic indexes of non-alcoholic fatty liver disease in the elderly popluation of public institutions in Nanjing

  Objective  To investigate the prevalence of non-alcoholic fatty liver disease (NAFLD) in the elderly physical examination population in institutions in Nanjing in 2016 and to analyse the correlation between NAFLD and metabolic indicators, such as triglyceride glucose product index (TyG index).  Methods  Elderly subjects who were admitted to Nanjing Public Institutions from January 2016 to January 2017 and underwent physical examination in the physical examination center of Nanjing Drum Tower Hospital were included in the study. Demographic characteristics, biochemical tests, b-ultrasound examination results, calculate body mass index (BMI) and TyG index were analysed. Differences in metabolism-related indicators between the NAFLD and non-NAFLD groups were determined, and the correlation between TyG and metabolic indexes was analysed. Logistic analysis was used in analysing the independent influencing factors of NAFLD, and ROC was used in evaluating the predictive values of different indicators for NAFLD.  Results  The prevalence rate of NAFLD in 2 712 elderly patients who underwent physical examination was 24.52%, and the prevalence rate of NAFLD in males was significantly higher than that in females (25.86% vs. 17.78%; χ2=13.254, all P < 0.05). Logistic regression analysis showed that BMI, DBP, FPG, HbA1c, TC, TG, LDL-C, HDL-C, TyG index, UA were independent influencing factors for NAFLD. Correlation analysis results showed that TyG index level in elderly physical examination subjects was significantly positively correlated with BMI, SBP, DBP, FPG, HbA1c, TC, TG, LDL-C and uric acid (r=0.324, 0.139, 0.110, 0.484, 0.414, 0.246, 0.846, 0.172, 0.172; all P < 0.05) and significantly negatively correlated with HDL-C level (r=-0.44, P < 0.05). The area under the curve (AUC) values predicted using BMI, DBP, UA and TyG index were 0.71, 0.60, 0.60 and 0.74, respectively.  Conclusion  NAFLD had a high prevalence rate in elderly people who underwent physical examination in public institutions in Nanjing. BMI, DBP, FPG, HbA1c, TC, TG, LDL-C, HDL-C, TyG index, and UA were independent influencing factors for NAFLD, and the TyG index was a simple synthetic indicator for IR assessment and thus has a good predictive value for NAFLD.