Otolaryngology department, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian, China.
Medicine (Baltimore). 2024 Mar 1;103(9):e37317. doi: 10.1097/MD.0000000000037317.
To evaluate the correlation between thallium and diabetes risk among participants with hearing loss. This retrospective cohort study extracted related data such as demographic characteristics, lifestyle factors, and laboratory findings from the National Health and Nutrition Examination Survey (NHANES) database (2013-2018). Logistic regression analysis and interaction analysis were adopted to analyze the correlation between thallium and diabetes risk among patients with hearing loss. Then, the restricted cubic spline was employed to assess the nonlinear relationship between thallium and diabetes risk. The receiver operating characteristic curve and decision curve analysis were used to assess the predictive values of 3 multivariate models with or without thallium for diabetes risk. The Delong test was adopted to assess the significant change of the area under the curves (AUCs) upon thallium addition. A total of 425 participants with hearing loss were enrolled in the study: without diabetes group (n = 316) and diabetes group (n = 109). Patients with hearing loss in the diabetes group had significantly lower thallium (P < .05). The thallium was an independent predictor for diabetes risk after adjusting various covariates (P < .05). The restricted cubic spline (RCS) result showed that there was a linear correlation between thallium and diabetes risk (P nonlinear > .05). Finally, the receiver operating characteristic and decision curve analysis results revealed that adding thallium to the models slightly increased the performance in predicting diabetes risk but without significance in AUC change. Thallium was an independent predictor of diabetes risk among patients with hearing loss. The addition of thallium might help improve the predictive ability of models for risk reclassification. However, the conclusions should be verified in our cohort in the future due to the limitations inherent in the NHANES database.
评估听力损失患者体内铊元素与糖尿病风险之间的相关性。本回顾性队列研究从国家健康和营养检查调查(NHANES)数据库(2013-2018 年)中提取了相关数据,如人口统计学特征、生活方式因素和实验室结果。采用逻辑回归分析和交互分析来分析听力损失患者体内铊元素与糖尿病风险之间的相关性。然后,采用受限立方样条来评估铊元素与糖尿病风险之间的非线性关系。采用受试者工作特征曲线和决策曲线分析来评估 3 个包含或不包含铊元素的多变量模型预测糖尿病风险的预测值。采用 Delong 检验来评估加入铊元素后曲线下面积(AUC)的显著变化。共有 425 名听力损失患者纳入本研究:无糖尿病组(n=316)和糖尿病组(n=109)。糖尿病组患者体内的铊元素明显较低(P<0.05)。在校正了各种协变量后,铊元素是糖尿病风险的独立预测因子(P<0.05)。受限立方样条(RCS)结果显示,铊元素与糖尿病风险之间存在线性相关(P非线性>0.05)。最后,受试者工作特征和决策曲线分析结果显示,将铊元素添加到模型中略微提高了预测糖尿病风险的性能,但 AUC 变化无显著意义。在听力损失患者中,铊元素是糖尿病风险的独立预测因子。添加铊元素可能有助于提高模型的风险再分类预测能力。然而,由于 NHANES 数据库固有的局限性,未来应在我们的队列中进一步验证这些结论。