Gaye Bamba, Naji Nabila Bouatia, Sims Mario, Cuffee Yendelela, Ogungbe Oluwabunmi, Michos Erin D, Lassale Camille, Sabouret Pierre, Jouven Xavier
Alliance for Medical Research in Africa (AMedRA), Department of Medical Physiology, Cheikh Anta Diop University, Dakar, Senegal.
Université Paris Cité, PARCC, INSERM, Paris, France.
Public Health Rev. 2024 Jul 17;45:1606879. doi: 10.3389/phrs.2024.1606879. eCollection 2024.
The Life's Simple 7 score (LS7) promotes cardiovascular health (CVH). Despite this, some with optimal LS7 develop cardiovascular disease (CVD), while others with poor CVH do not, termed the "CVH paradox." This paper explores pathways explaining this paradox.
We examined methodological aspects: 1) misclassification bias in self-reported lifestyle factors (smoking, physical activity, diet); 2) cumulative exposure to risk factors over a lifetime, impacting the CVH paradox. Punctual risk factor assessments are suboptimal for predicting outcomes. We proposed personalized prevention using "novel" elements to refine CVH assessment: 1) subclinical vascular disease markers, 2) metabolic biomarkers in blood and urine, 3) emerging risk factors, 4) polygenic risk scores (PRS), 5) epigenetics, and 6) the exposome.
Addressing the CVH paradox requires a multifaceted approach, reducing misclassification bias, considering cumulative risk exposure, and incorporating novel personalized prevention elements.
A holistic, individualized approach to CVH assessment and CVD prevention can better reduce cardiovascular outcomes and improve population health. Collaboration among researchers, healthcare providers, policymakers, and communities is essential for effective implementation and realization of these strategies.
“生命简单7项评分”(LS7)可促进心血管健康(CVH)。尽管如此,一些LS7评分最优的人仍会患心血管疾病(CVD),而另一些心血管健康状况较差的人却未患病,这被称为“心血管健康悖论”。本文探讨了解释这一悖论的途径。
我们研究了方法学方面的问题:1)自我报告的生活方式因素(吸烟、体育活动、饮食)中的错误分类偏差;2)一生中累积暴露于风险因素对心血管健康悖论的影响。即时风险因素评估对于预测结果并非最佳选择。我们提出使用“新”元素进行个性化预防,以完善心血管健康评估:1)亚临床血管疾病标志物;2)血液和尿液中的代谢生物标志物;3)新出现的风险因素;4)多基因风险评分(PRS);5)表观遗传学;6)暴露组。
解决心血管健康悖论需要采取多方面的方法,减少错误分类偏差,考虑累积风险暴露,并纳入新的个性化预防元素。
采用全面、个性化的方法进行心血管健康评估和心血管疾病预防,可以更好地降低心血管疾病发生率,改善人群健康状况。研究人员、医疗服务提供者、政策制定者和社区之间的合作对于有效实施和实现这些策略至关重要。