AUTHOR=Cheng Yifan , Cao Wen , Zhang Junzhe , Wang Jiabin , Liu Xiang , Wu Qianqian , Lin Qingxia TITLE=Determinants of Diabetic Peripheral Neuropathy and Their Clinical Significance: A Retrospective Cohort Study JOURNAL=Frontiers in Endocrinology VOLUME=Volume 13 - 2022 YEAR=2022 URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2022.934020 DOI=10.3389/fendo.2022.934020 ISSN=1664-2392 ABSTRACT=Background: In this study, we investigated the epidemiological characteristics and predictors of diabetic peripheral neuropathy (DPN) in adult patients with type-2 diabetes mellitus (DM). Methods: The study was designed as a retrospective cohort trial at the First Affiliated Hospital of Wenzhou Medical University. From January 2017 to December 2020, a total of 1262 patients with DM were enrolled to assess the risk factors for DPN. The patients were divided into two groups (DPN group and non-DPN group). The Mann-Whitney U test or t test, receiver operating characteristic (ROC) analyses, univariate Chi-square analyses, and multiple logistic regression analyses were used to analyze the adjusted predictors of DPN. Results: The overall incidence of DPN in DM patients was 72.7% (n =793/1091). Multivariate analysis revealed that age of ≥ 66 years of age (odds ratio [OR], 2.647; 95% confidence interval [CI] 1.469-4.770; p = 0.002), history of hypertension(odds ratio [OR], 1.829 ; 95% confidence interval [CI] 1.146-2.920; p = 0.011), neutrophil (NE) levels exceeding 4.0*109/L (OR 0.256; 95% CI 0.162-0.405; p = 0.001), platelet (PLT) levels over 217 ×109/L (OR, 2.55; 95% CI 1.07–6.07; p = 0.000), lymphocyte (LY) over 3.0*109/L (OR 7.173; 95% CI 4.258-12.086; p = 0.000), HbA1c>7.7% (OR 3.151; 95% CI 1.959-5.068; p = 0.000) and FT3>4.4pmol/L(OR 0.417; 95% CI 0.263-0.662; p = 0.000) were six significant predictive factors for the incidence of DPN. Conclusions: High levels of LY, HbA1c, history of hypertension and ≥ 66 years of age increase the risk of DPN in adult patients with DM. While High levels of NE and FT3 were protective factors of DPN. Thus, the prediction of DPN can significantly be improved by identifying older patients over the age of 66, and history of hypertension as well as establishing the biochemical cut-off values of NE, LY, HbA1c and FT3.