Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Nutrients. 2023 Feb 27;15(5):1198. doi: 10.3390/nu15051198.
Epidemiological evidence regarding the possible link between multiple essential metals levels and all-cause mortality and cardiovascular disease (CVD) mortality among type 2 diabetes (T2D) patients is sparse. Here, we aimed to evaluate the longitudinal associations between 11 essential metals levels in plasma and all-cause mortality and CVD mortality among T2D patients. Our study included 5278 T2D patients from the Dongfeng-Tongji cohort. LASSO penalized regression analysis was used to select the all-cause and CVD mortality-associated metals from 11 essential metals (iron, copper, zinc, selenium, manganese, molybdenum, vanadium, cobalt, chromium, nickel, and tin) measured in plasma. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Results: With a median follow-up of 9.8 years, 890 deaths were documented, including 312 deaths of CVD. LASSO regression models and the multiple-metals model revealed that plasma iron and selenium were negatively associated with all-cause mortality (HR: 0.83; 95%CI: 0.70, 0.98; HR: 0.60; 95%CI: 0.46, 0.77), whereas copper was positively associated with all-cause mortality (HR: 1.60; 95%CI: 1.30, 1.97). Only plasma iron has been significantly associated with decreased risk of CVD mortality (HR: 0.61; 95%CI: 0.49, 0.78). The dose-response curves for the association between copper levels and all-cause mortality followed a J shape ( = 0.01). Our study highlights the close relationships between essential metals elements (iron, selenium, and copper) and all-cause and CVD mortality among diabetic patients.
关于多种必需金属水平与 2 型糖尿病(T2D)患者全因死亡率和心血管疾病(CVD)死亡率之间可能存在关联的流行病学证据很少。在这里,我们旨在评估血浆中 11 种必需金属水平与 T2D 患者全因死亡率和 CVD 死亡率之间的纵向关联。我们的研究包括来自东风-同济队列的 5278 名 T2D 患者。LASSO 惩罚回归分析用于从血浆中测量的 11 种必需金属(铁、铜、锌、硒、锰、钼、钒、钴、铬、镍和锡)中选择与全因和 CVD 死亡率相关的金属。Cox 比例风险模型用于估计风险比(HR)和 95%置信区间(CI)。结果:中位随访时间为 9.8 年,记录了 890 例死亡,其中包括 312 例 CVD 死亡。LASSO 回归模型和多金属模型显示,血浆铁和硒与全因死亡率呈负相关(HR:0.83;95%CI:0.70,0.98;HR:0.60;95%CI:0.46,0.77),而铜与全因死亡率呈正相关(HR:1.60;95%CI:1.30,1.97)。只有血浆铁与 CVD 死亡率降低的风险显著相关(HR:0.61;95%CI:0.49,0.78)。铜水平与全因死亡率之间的关联呈 J 形曲线( = 0.01)。我们的研究强调了必需金属元素(铁、硒和铜)与糖尿病患者全因和 CVD 死亡率之间的密切关系。