METHODS: We included 42,178 NHANES participants. The determination of CRS referred to the simultaneous presence of cardiovascular disease (identified through self-report) and chronic kidney disease (eGFR < 60 mL/min per 1.73 m²). We employed multivariate weighted logistic regression to evaluate the odds ratio (OR) and 95% confidence interval (CI) for the independent and joint associations of MHR and BMI with CRS. We also conducted restricted cubic spines to explore nonlinear associations.
RESULTS: The prevalence of CRS was 3.45% among all participants. An increase in both MHR and BMI is associated with a higher risk of CRS (MHR: OR = 1.799, 95% CI = 1.520-2.129, P < 0.001, P-trend < 0.001; BMI: OR = 1.037, 95% CI = 1.023-1.051, P < 0.001). Individuals who simultaneously fall into the highest quartile of MHR and have a BMI of 30 or more face the highest risk of CRS compared to those in the lowest MHR quartile with a BMI of less than 25 (OR = 3.45, 95% CI = 2.40-4.98, P < 0.001). However, there is no interactive association between MHR and BMI with CRS.
CONCLUSIONS: Higher MHR and BMI are associated with higher odds of CRS. MHR and BMI can serve as tools for early prevention and intervention of CRS, respectively.
方法:我们包括42,178名NHANES参与者。CRS的确定是指同时存在心血管疾病(通过自我报告确定)和慢性肾脏疾病(eGFR<60mL/min/1.73m²)。我们采用多变量加权逻辑回归来评估MHR和BMI与CRS的独立和联合关联的比值比(OR)和95%置信区间(CI)。我们还进行了有限的立方棘,以探索非线性关联。
结果:所有参与者中CRS的患病率为3.45%。MHR和BMI的增加与CRS的高风险相关(MHR:OR=1.799,95%CI=1.520-2.129,P<0.001,P趋势<0.001;BMI:OR=1.037,95%CI=1.023-1.051,P<0.001)。与BMI小于25的最低MHR四分位数的人相比,同时处于MHR最高四分位数且BMI为30或更高的人面临CRS的风险最高(OR=3.45,95%CI=2.40-4.98,P<0.001)。然而,MHR和BMI与CRS之间没有交互关联。
结论:较高的MHR和BMI与较高的CRS几率相关。MHR和BMI可以作为早期预防和干预CRS的工具,分别。