Cui Mingyue, Xiao Xianchao, Zhao Xue, Gang Xiaokun, Wang Guixia
Department of Endocrinology and Metabolism, The First Hospital of Jilin University, 71 Xinmin Street, Chaoyang District, Changchun, 130021, China.
Sci Rep. 2025 Aug 5;15(1):28655. doi: 10.1038/s41598-025-03186-2.
The Cardiometabolic Index (CMI) is a new indicator of visceral fat distribution and dysfunction that can be calculated using lipid parameters, waist circumference, and height. The relationship between CMI and Obstructive Sleep Apnea (OSA) remains unclear. This cross-sectional study explored the association between CMI and OSA using nationally representative data from The National Health and Nutrition Examination Survey database, spanning the periods from 2005 to 2008 and 2015 to 2018. OSA was self-reported based on questionnaire responses. Weighted logistic regression and restricted cubic splines were used to investigate the relationship between CMI and OSA. In addition, subgroup analyses and interaction tests were performed to study the robustness of the association across different populations. Finally, a receiver operating characteristic curve (ROC) was used to determine the predictive power of the index for the OSA. A total of 8460 participants were enrolled in the study. In the fully adjusted model, multivariate regression revealed a significant relationship between CMI and OSA (OR = 1.75, 95% CI 1.46-2.10). Interaction tests, revealed no significant effects of age, sex, body mass index, and race on the relationship between CMI and OSA. The area under the curve (AUC) of the ROC curve was 0.605, indicating that CMI has a predictive value for the OSA. This study provides evidence that CMI is associated with OSA in the adult population of the United States. CMI may be an important predictor of OSA, which provides a new perspective for the future assessment and treatment of individuals with odds of OSA.
心脏代谢指数（CMI）是一种用于评估内脏脂肪分布和功能障碍的新指标，可通过血脂参数、腰围和身高来计算。CMI与阻塞性睡眠呼吸暂停（OSA）之间的关系尚不清楚。本横断面研究利用2005年至2008年以及2015年至2018年期间美国国家健康与营养检查调查数据库中的全国代表性数据，探讨了CMI与OSA之间的关联。OSA是根据问卷回答自我报告的。采用加权逻辑回归和受限立方样条来研究CMI与OSA之间的关系。此外，还进行了亚组分析和交互作用检验，以研究不同人群中这种关联的稳健性。最后，使用受试者工作特征曲线（ROC）来确定该指数对OSA的预测能力。共有8460名参与者纳入本研究。在完全调整模型中，多变量回归显示CMI与OSA之间存在显著关系（OR = 1.75，95% CI 1.46 - 2.10）。交互作用检验显示，年龄、性别、体重指数和种族对CMI与OSA之间的关系没有显著影响。ROC曲线的曲线下面积（AUC）为0.605，表明CMI对OSA具有预测价值。本研究提供了证据表明在美国成年人群中CMI与OSA相关。CMI可能是OSA的一个重要预测指标，这为未来评估和治疗有OSA风险的个体提供了新的视角。
