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Prevalence and risk factor analysis for the nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus

机译:2型糖尿病患者非酒精性脂肪肝病的患病率和风险因素分析

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ABSTRACT: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.Copyright ? 2021 the Author(s). Published by Wolters Kluwer Health, Inc.
机译:摘要:虽然非酒精性脂肪肝病(NAFLD)与2型糖尿病(T2DM)强烈相关,但T2DM患者NAFLD的诊断仍然是一项挑战。本研究旨在调查T2DM中NAFLD的患病率和危险因素本条是一项回顾性的横断面研究,包括从2017年4月到2019年3月到2019年3月对我们医院内分泌管治疗和患有葡萄糖控制的2405人T2DM患者。使用严格的排除标准,筛选目标患者并分为两项组:NAFLD患者(研究组)和非NAFLD患者(对照组)。随后,在两组之间比较了34个因素。此外,使用Logistic回归进行NAFLD风险因素的多变量分析。最后,使用接收器操作特征(ROC)曲线分析估计了个体生化预测因子以及组合预测指标(CPI)的诊断意义,以及组合的预测指标(CPI),估计NAFLD)曲线分析。在本研究中,T2DM患者中NAFLD的总体普及率为58.67% 。在靶患者的患者中,通过单变量分析鉴定了17个因素与NAFLD相关,发现8个因素是使用二元逻辑回归建模的NAFLD的重要预测因子。此外,CPI和C-肽在T2DM患者中代表NAFLD的高诊断价值。本研究为T2DM患者的NAFLD提供了更全面的风险因子分析。这些数据可用于提供诊断和有效管理NAFLD.COPYRIGHT? 2021提交人。由Wolters Kluwer Health,Inc。出版

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