Semantic Scholar Open Access 2022 2 sitasi

Clinical Network for Big Data and Personalized Health: Study Protocol and Preliminary Results

S. Esposito S. Orlandi S. Magnacca A. De Curtis A. Gialluisi +2 lainnya

Abstrak

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.

Topik & Kata Kunci

Penulis (7)

S

S. Esposito

S

S. Orlandi

S

S. Magnacca

A

A. De Curtis

A

A. Gialluisi

L

L. Iacoviello

O

On Behalf Of The Neuromed Clinical Network Big Dat

Format Sitasi

Esposito, S., Orlandi, S., Magnacca, S., Curtis, A.D., Gialluisi, A., Iacoviello, L. et al. (2022). Clinical Network for Big Data and Personalized Health: Study Protocol and Preliminary Results. https://doi.org/10.3390/ijerph19116365

Akses Cepat

Lihat di Sumber doi.org/10.3390/ijerph19116365
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.3390/ijerph19116365
Akses
Open Access ✓