Diabetes mellitus, systemic inflammation and overactive bladder

作者全名：He, Qingliu; Wu, Lizhen; Deng, Changqi; He, Jiatai; Wen, Jun; Wei, Chengcheng; You, Zhijiao

作者地址：[You, Zhijiao] JinJiang Municipal Hosp, Dept Urol, Quanzhou, Fujian, Peoples R China; [He, Qingliu] Fujian Med Univ, Affiliated Hosp 2, Dept Urol, Quanzhou, Peoples R China; [He, Qingliu; Deng, Changqi; He, Jiatai; Wei, Chengcheng] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Urol, Wuhan, Hubei, Peoples R China; [Wu, Lizhen] Fujian Med Univ, Affiliated Hosp 2, Dept Endocrinol & Metab, Quanzhou, Fujian, Peoples R China; [Wen, Jun] Chongqing Med Univ, Dept Resp & Crit Care Med, Affiliated Hosp 1, Chongqing, Peoples R China; [Wei, Chengcheng] Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, Chongqing, Peoples R China

通信作者：You, ZJ (通讯作者)，JinJiang Municipal Hosp, Dept Urol, Quanzhou, Fujian, Peoples R China.; Wei, CC (通讯作者)，Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Urol, Wuhan, Hubei, Peoples R China.; Wen, J (通讯作者)，Chongqing Med Univ, Dept Resp & Crit Care Med, Affiliated Hosp 1, Chongqing, Peoples R China.; Wei, CC (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, Chongqing, Peoples R China.

来源：FRONTIERS IN ENDOCRINOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001221571600001

JCR分区：Q2

影响因子：3.9

年份：2024

卷号：15

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：diabetes; inflammation; overactive bladder; NHANES; epidemiology

摘要：Background: Increasing evidence emphasizes the potential relationship between diabetes and OAB (overactive bladder). However, large population epidemiology is still lacking. Methods: This cross-sectional study included six cycle NHANES surveys, with a total of 23863 participants. Logistic regression models were constructed to analyze the association between diabetes mellitus, diabetes-related markers, and inflammatory biomarkers with OAB. Restricted cubic splines were used to analyze the non-linear associations. Mediating analysis was performed to test the effect of inflammatory biomarkers on the relationship between diabetes-related markers and OAB. Finally, machine learning models were applied to predict the relative importance and construct the best-fit model. Results: Diabetes mellitus participants' OAB prevalence increased by 77% compared with non-diabetes. As the quartiles of diabetes-related markers increased, the odds of OAB monotonically increased in three models (all p for trend < 0.001). Glycohemoglobin exhibited a linear association with OAB (p for nonlinearity > 0.05). White blood cells significantly mediated the associations between diabetes-related markers (glycohemoglobin, fasting glucose, and insulin) with OAB, and the proportions were 7.23%, 8.08%, and 17.74%, respectively (all p < 0.0001). Neutrophils partly mediated the correlation between (glycohemoglobin, fasting glucose, and insulin) and OAB at 6.58%, 9.64%, and 17.93%, respectively (all p < 0.0001). Machine learning of the XGBoost model constructs the best fit model, and XGBoost predicts glycohemoglobin is the most important indicator on OAB. Conclusion: Our research revealed diabetes mellitus and diabetes-related markers were remarkably associated with OAB, and systemic inflammation was an important mediator of this association.

基金机构：Startup Fund for scientific research, Fujian Medical University [2020QH1125]

基金资助正文：The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by Startup Fund for scientific research, Fujian Medical University (Grant No.2020QH1125).