Tian Juan, Ding Xiaoyu, Ren Xiaoying, Wang Guang, Wang Wei, Liu Jia
Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing 100020, China.
Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing 100020, China.
Int J Med Sci. 2025 Jun 23;22(12):3101-3111. doi: 10.7150/ijms.115217. eCollection 2025.
Cardiovascular-kidney-metabolic (CKM) syndrome is highly prevalent. Advanced CKM stages have the potential for multiorgan disease, premature mortality, and excess morbidity. Magnesium deficiency has a prominent impact on the components of CKM syndrome. However, the relationship between magnesium depletion score (MgDS) and the risk of developing advanced stages of CKM syndrome is still unclear. We used data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. To investigate the relationship between MgDS categories and advanced CKM stages, we employed weighted multivariable logistic regression. Stratified and interaction analysis was conducted to find whether some demographics and lifestyle factors modified the association. Restricted cubic spline (RCS) analysis was implemented to investigate the dose-response relationships. Additionally, receiver operating characteristic (ROC) curve was plotted to assess the diagnostic accuracy of MgDS for advanced CKM stages. : The study population comprised 18,038 participants aged 20 to 79 years. The multivariable logistic regression suggested that high MgDS levels (MgDS = 2 and ≥ 3) were associated with higher odds of having advanced CKM stages compared with low MgDS level (MgDS = 0) in all adjusted models ( < 0.05). Stratified and interaction analysis indicated that PIR had significant effects on the association ( for interaction < 0.05). The RCS regression analyses demonstrated a positive linear association between MgDS and the incidence of advanced CKM stages (P for overall = 0.0003, P for nonlinear = 0.1374). The MgDS predicted the area of the ROC curve of 0.7577 ( < 0.05) and the optimal cutoff value was 2. Magnesium-depleted state as quantified by MgDS (MgDS ≥ 2) is a significant risk factor for advanced CKM stages, which suggests that identifying magnesium deficiency and improving the nutritional status of magnesium might mitigate the risk of advanced CKM stages.
心血管-肾脏-代谢(CKM)综合征非常普遍。晚期CKM阶段有可能引发多器官疾病、过早死亡和发病率过高。镁缺乏对CKM综合征的各个组成部分有显著影响。然而,镁耗竭评分(MgDS)与发展为晚期CKM综合征风险之间的关系仍不清楚。我们使用了1999年至2018年美国国家健康和营养检查调查(NHANES)的数据。为了研究MgDS类别与晚期CKM阶段之间的关系,我们采用了加权多变量逻辑回归。进行了分层和交互分析,以确定某些人口统计学和生活方式因素是否改变了这种关联。实施了受限立方样条(RCS)分析以研究剂量反应关系。此外,绘制了受试者工作特征(ROC)曲线以评估MgDS对晚期CKM阶段的诊断准确性。该研究人群包括18038名年龄在20至79岁之间的参与者。多变量逻辑回归表明,在所有调整模型中,与低MgDS水平(MgDS = 0)相比,高MgDS水平(MgDS = 2及≥3)与处于晚期CKM阶段几率更高相关(P < 0.05)。分层和交互分析表明,贫困收入比(PIR)对这种关联有显著影响(交互作用P < 0.05)。RCS回归分析表明MgDS与晚期CKM阶段的发病率之间存在正线性关联(总体P = 0.0003,非线性P = 0.1374)。MgDS预测的ROC曲线面积为0.7577(P < 0.05),最佳截断值为2。通过MgDS量化的镁耗竭状态(MgDS≥2)是晚期CKM阶段的一个重要危险因素,这表明识别镁缺乏并改善镁的营养状况可能会降低晚期CKM阶段的风险。