Department of Epidemiology and Prevention, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Neuromed, 86077 Pozzilli, Italy.
Mediterranea Cardiocentro, 80122 Napoli, Italy.
Int J Environ Res Public Health. 2022 May 24;19(11):6365. doi: 10.3390/ijerph19116365.
The use of secondary hospital-based clinical data and electronical health records (EHR) represent a cost-efficient alternative to investigate chronic conditions. We present the Clinical Network Big Data and Personalised Health project, which collects EHRs for patients accessing hospitals in Central-Southern Italy, through an integrated digital platform to create a digital hub for the collection, management and analysis of personal, clinical and environmental information for patients, associated with a biobank to perform multi-omic analyses. A total of 12,864 participants (61.7% women, mean age 52.6 ± 17.6 years) signed a written informed consent to allow access to their EHRs. The majority of hospital access was in obstetrics and gynaecology (36.3%), while the main reason for hospitalization was represented by diseases of the circulatory system (21.2%). Participants had a secondary education (63.5%), were mostly retired (25.45%), reported low levels of physical activity (59.6%), had low adherence to the Mediterranean diet and were smokers (30.2%). A large percentage (35.8%) were overweight and the prevalence of hypertension, diabetes and hyperlipidemia was 36.4%, 11.1% and 19.6%, respectively. Blood samples were retrieved for 8686 patients (67.5%). This project is aimed at creating a digital hub for the collection, management and analysis of personal, clinical, diagnostic and environmental information for patients, and is associated with a biobank to perform multi-omic analyses.
利用二级医院的临床数据和电子健康记录（EHR）来研究慢性病是一种具有成本效益的替代方法。我们提出了临床网络大数据和个性化健康项目，该项目通过一个集成的数字平台收集意大利中南部医院就诊患者的 EHR，以创建一个用于收集、管理和分析患者个人、临床和环境信息的数字中心，并与生物库相结合，以进行多组学分析。共有 12864 名参与者（61.7%为女性，平均年龄 52.6±17.6 岁）签署了书面知情同意书，允许访问他们的 EHR。大多数医院就诊是在妇产科（36.3%），而住院的主要原因是循环系统疾病（21.2%）。参与者接受的是中等教育（63.5%），大多已退休（25.45%），报告的身体活动水平低（59.6%），对地中海饮食的依从性低，且吸烟率高（30.2%）。很大比例（35.8%）的参与者超重，高血压、糖尿病和高血脂的患病率分别为 36.4%、11.1%和 19.6%。对 8686 名患者（67.5%）进行了血液样本采集。该项目旨在创建一个用于收集、管理和分析患者个人、临床、诊断和环境信息的数字中心，并与生物库相结合，以进行多组学分析。
