Siyuan Tan, Jiabao Zhou, Fanqi Li, Gaoming Zeng, Na Liu, Tao Tu, Hao Chen, Qiuzhen Lin, Qiming Liu
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引用次数: 0
Abstract
Background: This study aimed to evaluate the association between the Life's Essential 8 (LE8) and mortality risk in patients with advanced cardiovascular-kidney-metabolic (CKM) syndrome, focusing on the prognostic impact of its health behavior and health factor components.
Method: A total of 10,321 participants were included from the NHANES. Kaplan-Meier curve and Cox proportional-hazards models, and restricted cubic splines (RCS) were used to assess the associations of LE8, health behaviors, and health factors with mortality risk.
Result: Among all participants, 2629 had advanced CKM syndrome. Over a median 78-month follow-up, 579 deaths occurred. Each 10-point increase in the LE8 score reduced advanced CKM syndrome risk by 15% (OR = 0.85), while low CVH increased risk by 105% (OR = 2.05). Advanced CKM syndrome was associated with higher mortality risks, while each 10-point increase in the LE8 score reduced mortality risk. However, no significant difference in mortality risk was observed between the moderate and high CVH groups. Notably, each 10-point increase in the health behavior score lowered all-cause (HR = 0.80), cardiovascular (HR = 0.83), and CKM-related mortality risk (HR = 0.82), while patients with moderate (HR = 2.08, 1.88, 1.94) and low CVH (HR = 3.25, 253, 2.89) faced higher mortality risks. In contrast, the health factor showed no significant association with mortality risk.
Conclusion: The LE8, particularly its health behavior, is independently associated with mortality in advanced CKM syndrome. These findings suggest that LE8-based behavioral interventions could potentially reduce risk in advanced CKM syndrome patients.
期刊介绍:
European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.