4.5 Article

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

期刊

MEDICINE
卷 100, 期 10, 页码 -

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MD.0000000000024940

关键词

metabolism; non-alcoholic fatty liver disease; obesity; routine examination; screening; type-2 diabetes mellitus

资金

  1. Nature Science Found of Anhui Province [1808085QH250]
  2. University Natural Science Foundation of Anhui [KJ2018A0290]
  3. National Natural Science Foundation of China [82004139, 81873139, 81803938]
  4. Scientific and technological projects of Henan Province [202102310068]
  5. Nature Science Found of Anhui University of Chinese Medicine [2018zryb48]

向作者/读者索取更多资源

This study investigated the prevalence and risk factors for NAFLD in T2DM outpatients, revealing a prevalence rate of approximately 58.67% among T2DM patients. Eight significant predictors for NAFLD were identified through multivariate analysis, while CPI and C-Peptide showed high diagnostic value for NAFLD in T2DM patients.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据