An Opportunity for Prevention: Associations Between the Life's Essential 8 Score and Cardiovascular Incidence Using Prospective Data from UK Biobank

医学 狼牙棒 四分位数 危险系数 前瞻性队列研究 内科学 比例危险模型 生命银行 心肌梗塞 体质指数 心理干预 人口学 物理疗法 心脏病学 置信区间 经皮冠状动脉介入治疗 遗传学 生物 精神科 社会学
作者
Fanny Petermann‐Rocha,Salil V. Deo,Carlos Celis‐Morales,Frederick K. Ho,Pankaj Bahuguna,David McAllister,Naveed Sattar,Jill P. Pell
出处
期刊:Current Problems in Cardiology [Elsevier]
卷期号:48 (4): 101540-101540 被引量:59
标识
DOI:10.1016/j.cpcardiol.2022.101540
摘要

To investigate the association between the Life's Essential 8 (LE8) score and the incidence of four cardiovascular outcomes (ischemic heart disease, myocardial infarction, stroke, and heart failure [HF]) – separately and as a composite outcome of major adverse cardiovascular events (MACE) – in UK Biobank. 250,825 participants were included in this prospective study. Smoking, non-HDL cholesterol, blood pressure, body mass index, HbA1c, physical activity, diet, and sleep were used to create a modified version of the LE8 score. Associations between the score (both as a continuous score and as quartiles) and outcomes were investigated using adjusted Cox proportional hazard models. The potential impact fractions of two scenarios were also calculated. Over a median follow-up of 10.4 years, there were 25,068 MACE. Compared to individuals in the highest quartile of the score (healthiest), those in the lowest quartile (least healthy) had 2.07 (95% CI: 1.99; 2.16) higher risk for MACE. The highest relative risk gradient of the individual outcomes was observed for HF (HRlowest quartile: 2.67 [95% CI: 2.42; 2.94]). The magnitude of association was stronger in participants below 50 years, women, and ethnic minorities. A targeted intervention that increased, by 10-points, the score among individuals in the lowest quartile could have prevented 9.2% of MACE. Individuals with a lower LE8 score experienced more MACE, driven especially by incident HF. Our scenarios suggested that relevant interventions targeted towards those in the lowest quartile may have a greater impact than interventions producing small equal changes across all quartiles.
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