Experimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine.
Anhui Provincial Key Laboratory of Microbial Pest Control, Anhui Agricultural University.
Medicine (Baltimore). 2021 Mar 12;100(10):e24940. doi: 10.1097/MD.0000000000024940.
Although non-alcoholic fatty liver disease (NAFLD) is strongly associated with type 2 diabetes mellitus (T2DM), the diagnosis of NAFLD for T2DM patients remains a challenge.This study aimed to investigate the prevalence and risk factors for the NAFLD in T2DM outpatients.This is a retrospective, cross-sectional study that included 2405 T2DM patients treated and admitted for glucose control into the Endocrinology Department of our hospital from April 2017 to March 2019. Using strict exclusion criteria, the target patients were screened and divided into two groups: NAFLD patients (study group) and non-NAFLD patients (control group). Subsequently, 34 factors were compared between the two groups. Furthermore, multivariate analysis of the NAFLD risk factors was performed using logistic regression. Finally, the diagnostic significance of individual biochemical predictors, as well as the combined predictive indicator (CPI), for NAFLD was estimated using receiver operating characteristic (ROC) curve analysis.In this study, the overall prevalence of NAFLD in T2DM patients was 58.67%. Of the target patients, 17 factors were identified by univariate analysis to be associated with NAFLD, and 8 factors were found to be significant predictors for NAFLD using binary logistic regression modeling. Furthermore, the CPI and C-Peptide represent high diagnostic value for NAFLD in T2DM patients.This study provides a more comprehensive risk factor analysis for NAFLD in T2DM patients. These data can be used to provide timely diagnosis and effective management of NAFLD.
虽然非酒精性脂肪性肝病(NAFLD)与 2 型糖尿病(T2DM)密切相关,但 T2DM 患者的 NAFLD 诊断仍然是一个挑战。本研究旨在探讨 T2DM 门诊患者中 NAFLD 的患病率和危险因素。这是一项回顾性、横断面研究,纳入了 2017 年 4 月至 2019 年 3 月期间因血糖控制而在内分泌科治疗和住院的 2405 例 T2DM 患者。使用严格的排除标准,对目标患者进行筛选并分为两组:NAFLD 患者(研究组)和非 NAFLD 患者(对照组)。随后,比较了两组之间的 34 个因素。此外,还使用 logistic 回归对 NAFLD 的危险因素进行了多因素分析。最后,使用受试者工作特征(ROC)曲线分析评估了个体生化预测因子以及联合预测指标(CPI)对 NAFLD 的诊断意义。在本研究中,T2DM 患者的 NAFLD 总体患病率为 58.67%。在目标患者中,通过单因素分析确定了 17 个与 NAFLD 相关的因素,通过二元逻辑回归模型确定了 8 个与 NAFLD 显著相关的因素。此外,CPI 和 C-肽对 T2DM 患者的 NAFLD 具有较高的诊断价值。本研究为 T2DM 患者的 NAFLD 提供了更全面的危险因素分析。这些数据可用于及时诊断和有效管理 NAFLD。