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.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11211566 | PMC |
http://dx.doi.org/10.3389/fpubh.2024.1335894 | DOI Listing |
J Exp Bot
October 2024
Horticultural Biology and Metabolomics Center, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
J Dent
December 2024
Charité - Universitätsmedizin Berlin, Department of Oral and Maxillofacial Surgery, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Augustenburger Platz 1, Berlin 13353, Germany.
Diagnostics (Basel)
October 2024
Research Centre for Digital Technologies in Dentistry and CAD/CAM, Danube Private University, 3500 Krems an der Donau, Austria.
Osteoporosis, a systemic skeletal disorder, is expected to affect 60% of women over 50. While dual-energy X-ray absorptiometry (DXA) scans are the current gold standard for diagnosis, they are typically used only after fractures occur, highlighting the need for early detection tools. Initial studies have shown panoramic radiographs (PRs) to be a potential medium, but these have methodological flaws.
View Article and Find Full Text PDFVasc Med
December 2024
Department of Family Medicine, University of California San Diego, La Jolla, CA, USA.
J Med Internet Res
October 2024
Verily Life Sciences LLC, South San Francisco, CA, United States.
Background: Photoplethysmography (PPG) is a technology routinely used in clinical practice to assess blood oxygenation (SpO) and pulse rate (PR). Skin pigmentation may influence accuracy, leading to health outcomes disparities.
Objective: This systematic review and meta-analysis primarily aimed to evaluate the accuracy of PPG-derived SpO and PR by skin pigmentation.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!