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多基因风险评分和数字技术在高危成年人创新个性化心血管疾病预防中的疗效:一项随机对照试验的方案。

Efficacy of polygenic risk scores and digital technologies for INNOvative personalized cardiovascular disease PREVention in high-risk adults: protocol of a randomized controlled trial.

机构信息

Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy.

Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.

出版信息

Front Public Health. 2024 Jun 14;12:1335894. doi: 10.3389/fpubh.2024.1335894. eCollection 2024.

Abstract

BACKGROUND

Cardiovascular diseases (CVDs) pose a significant global health challenge, necessitating innovative approaches for primary prevention. Personalized prevention, based on genetic risk scores (PRS) and digital technologies, holds promise in revolutionizing CVD preventive strategies. However, the clinical efficacy of these interventions requires further investigation. This study presents the protocol of the INNOPREV randomized controlled trial, aiming to evaluate the clinical efficacy of PRS and digital technologies in personalized cardiovascular disease prevention.

METHODS

The INNOPREV trial is a four-arm RCT conducted in Italy. A total of 1,020 participants, aged 40-69 with high 10-year CVD risk based on SCORE 2 charts, will be randomly assigned to traditional CVD risk assessment, genetic testing (CVD PRS), digital intervention (app and smart band), or a combination of genetic testing and digital intervention. The primary objective is to evaluate the efficacy of providing CVD PRS information, measured at baseline, either alone or in combination with the use of an app and a smart band, on two endpoints: changes in lifestyle patterns, and modification in CVD risk profiles. Participants will undergo a comprehensive assessment and cardiovascular evaluation at baseline, with follow-up visits at one, five, and 12 months. Lifestyle changes and CVD risk profiles will be assessed at different time points beyond the initial assessment, using the Life's Essential 8 and SCORE 2, respectively. Blood samples will be collected at baseline and at study completion to evaluate changes in lipid profiles. The analysis will employ adjusted mixed-effect models for repeated measures to assess significant differences in the data collected over time. Additionally, potential moderators and mediators will be examined to understand the underlying mechanisms of behavior change.

DISCUSSION

As the largest trial in this context, the INNOPREV trial will contribute to the advancement of personalized cardiovascular disease prevention, with the potential to positively impact public health and reduce the burden of CVDs on healthcare systems. By systematically examining the clinical efficacy of PRS and digital interventions, this trial aims to provide valuable evidence to guide future preventive strategies and enhance population health outcomes.

摘要

背景

心血管疾病(CVDs)是全球面临的重大健康挑战,需要创新方法进行一级预防。基于遗传风险评分(PRS)和数字技术的个性化预防有望彻底改变 CVD 预防策略。然而,这些干预措施的临床疗效仍需进一步研究。本研究介绍了 INNOPREV 随机对照试验的方案,旨在评估 PRS 和数字技术在个性化心血管疾病预防中的临床疗效。

方法

INNOPREV 试验是在意大利进行的一项四臂 RCT。共有 1020 名年龄在 40-69 岁之间、SCORE 2 图表显示 10 年 CVD 风险较高的参与者,将被随机分配到传统 CVD 风险评估、基因检测(CVD PRS)、数字干预(应用程序和智能手环)或基因检测和数字干预的组合中。主要目的是评估在基线时提供 CVD PRS 信息的疗效,无论是单独使用还是与使用应用程序和智能手环结合使用,对两个终点的影响:生活方式的改变和 CVD 风险特征的改变。参与者将在基线时进行全面评估和心血管评估,并在 1、5 和 12 个月时进行随访。在初始评估之外的不同时间点,将使用 Life's essential 8 和 SCORE 2 评估生活方式的改变和 CVD 风险特征。基线和研究完成时将采集血样,以评估血脂谱的变化。分析将采用调整后的重复测量混合效应模型来评估随时间收集的数据的显著差异。此外,还将检查潜在的调节因素和中介因素,以了解行为改变的潜在机制。

讨论

作为该领域最大的试验,INNOPREV 试验将为个性化心血管疾病预防的发展做出贡献,有可能对公共卫生产生积极影响,并减轻医疗系统对 CVD 的负担。通过系统地检查 PRS 和数字干预的临床疗效,该试验旨在提供有价值的证据,指导未来的预防策略,并改善人口健康结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be22/11211566/d8ccb7c14de8/fpubh-12-1335894-g0001.jpg

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