Zhu Xiao-Ming, Xu Yan, Zhang Jie
Department of Cardiology, Xishan People's Hospital of Wuxi City, Wuxi, China.
Front Med (Lausanne). 2024 Dec 9;11:1507100. doi: 10.3389/fmed.2024.1507100. eCollection 2024.
Heart failure is a complex syndrome characterized by impaired cardiac function. Despite improvements in treatment, the prevalence of heart failure continues to rise. The Cardiometabolic Index (CMI), a novel measure combining abdominal obesity and lipid levels, has emerged as a potential predictor of cardiac metabolic risk.
We analyzed data from the National Health and Nutrition Examination Survey (NHANES) involving 22,586 participants to investigate the association between CMI and heart failure. Multivariable logistic regression models and RCS analysis were used to explore the association between heart failure and CMI after adjusting for potential confounders. Subgroup analyses were performed among populations with different demographic and clinical characteristics.
Our results revealed a significant positive correlation between CMI and heart failure, with odds ratios of 2.77 and 1.87 for the highest quartile after adjusting for confounders. Subgroup analyses indicated heightened risks among older adults and those with hypertension or diabetes. ROC curve analysis demonstrated that CMI offers good diagnostic value for heart failure, surpassing traditional measures like BMI.
Our findings suggest that CMI is a valuable tool for assessing the risk of heart failure, particularly in individuals with increased abdominal obesity or abnormal lipid profiles. This highlights the importance of addressing cardiac metabolic health in both prevention and treatment strategies for heart failure. Future research should focus on exploring causal relationships and refining predictive models that incorporate CMI to enhance early detection and intervention.
心力衰竭是一种以心脏功能受损为特征的复杂综合征。尽管治疗有所改善,但心力衰竭的患病率仍在持续上升。心脏代谢指数(CMI)是一种结合腹部肥胖和血脂水平的新指标,已成为心脏代谢风险的潜在预测指标。
我们分析了来自国家健康与营养检查调查(NHANES)的22586名参与者的数据,以研究CMI与心力衰竭之间的关联。在调整潜在混杂因素后,使用多变量逻辑回归模型和限制立方样条(RCS)分析来探讨心力衰竭与CMI之间的关联。在具有不同人口统计学和临床特征的人群中进行亚组分析。
我们的结果显示CMI与心力衰竭之间存在显著正相关,在调整混杂因素后,最高四分位数的优势比分别为2.77和1.87。亚组分析表明老年人以及患有高血压或糖尿病的人风险更高。受试者工作特征(ROC)曲线分析表明,CMI对心力衰竭具有良好的诊断价值,优于体重指数(BMI)等传统指标。
我们的研究结果表明,CMI是评估心力衰竭风险的有价值工具,尤其是在腹部肥胖增加或血脂异常的个体中。这突出了在心力衰竭的预防和治疗策略中解决心脏代谢健康问题的重要性。未来的研究应侧重于探索因果关系,并完善纳入CMI的预测模型,以加强早期检测和干预。