{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:22:42Z","timestamp":1775737362790,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T00:00:00Z","timestamp":1653350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Economic Development","award":["F\/080032\/01\/X35"],"award-info":[{"award-number":["F\/080032\/01\/X35"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>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 \u00b1 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.<\/jats:p>","DOI":"10.3390\/ijerph19116365","type":"journal-article","created":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T22:04:06Z","timestamp":1653429846000},"page":"6365","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Clinical Network for Big Data and Personalized Health: Study Protocol and Preliminary Results"],"prefix":"10.3390","volume":"19","author":[{"given":"Simona","family":"Esposito","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Prevention, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Neuromed, 86077 Pozzilli, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabatino","family":"Orlandi","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Prevention, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Neuromed, 86077 Pozzilli, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sara","family":"Magnacca","sequence":"additional","affiliation":[{"name":"Mediterranea Cardiocentro, 80122 Napoli, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amalia","family":"De Curtis","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Prevention, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Neuromed, 86077 Pozzilli, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7388-4463","authenticated-orcid":false,"given":"Alessandro","family":"Gialluisi","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Prevention, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Neuromed, 86077 Pozzilli, Italy"},{"name":"Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, 21100 Varese, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0514-5885","authenticated-orcid":false,"given":"Licia","family":"Iacoviello","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Prevention, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Neuromed, 86077 Pozzilli, Italy"},{"name":"Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, 21100 Varese, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"on behalf of The Neuromed Clinical Network Big Data and Personalised Health Investigators","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,24]]},"reference":[{"key":"ref_1","unstructured":"GBD 2017 Causes of Death Collaborators (2018). Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980\u20132017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet, 392, 1736\u20131788."},{"key":"ref_2","unstructured":"GBD 2017 Risk Factor Collaborators (2018). Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990\u20132017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet, 392, 1923\u20131994."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"S92","DOI":"10.1016\/S0049-3848(10)70023-2","article-title":"The \u201ccommon soil hypothesis\u201d: Evidence from population studies?","volume":"125","author":"Donati","year":"2010","journal-title":"Thromb. Res."},{"key":"ref_4","unstructured":"Nationaler Ethikrat (2004). Biobanks for Research: Opinion, German National Ethics Council Publisher Nationaler Ethikrat."},{"key":"ref_5","unstructured":"Hansson, M.G., and Levin, M. (2003). Biobanks as Resources for Health, Uppsala University."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"243","DOI":"10.2217\/fca.13.110","article-title":"Biobanks for cardiovascular epidemiology and prevention","volume":"10","author":"Iacoviello","year":"2014","journal-title":"Future Cardiol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1093\/bib\/bbm050","article-title":"Biobanking for Europe","volume":"9","author":"Yuille","year":"2008","journal-title":"Brief. Bioinform."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s11906-019-0921-3","article-title":"Personalized Medicine and the Treatment of Hypertension","volume":"21","author":"Melville","year":"2019","journal-title":"Curr. Hypertens. Rep."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Li, B., He, X., Jia, W., and Li, H. (2017). Novel Applications of Metabolomics in Personalized Medicine: A Mini-Review. Molecules, 22.","DOI":"10.3390\/molecules22071173"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1136\/amiajnl-2014-002974","article-title":"The National Institutes of Health\u2019s Big Data to Knowledge (BD2K) initiative: Capitalizing on biomedical big data","volume":"21","author":"Margolis","year":"2014","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"ref_11","unstructured":"Cox, M., and Ellsworth, D. (1997, January 19\u201324). Application-controlled demand paging for out-of-core visualization. Proceedings of the Visualization \u201897 (Cat. No. 97CB36155), Phoenix, AZ, USA."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1038\/nrg.2016.162","article-title":"Evolving health care through personal genomics","volume":"18","author":"Rehm","year":"2017","journal-title":"Nat. Rev. Genet."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1126\/science.aaa2709","article-title":"Big data meets public health","volume":"346","author":"Khoury","year":"2014","journal-title":"Science"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"e3","DOI":"10.2196\/jmir.7.1.e3","article-title":"The emergence of national electronic health record architectures in the United States and Australia: Models, costs, and questions","volume":"7","author":"Gunter","year":"2005","journal-title":"J. Med. Internet Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1056\/NEJMp1500523","article-title":"A new initiative on precision medicine","volume":"372","author":"Collins","year":"2015","journal-title":"N. Engl. J. Med."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e12861","DOI":"10.2196\/12861","article-title":"Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions","volume":"7","author":"Chuang","year":"2019","journal-title":"JMIR mHealth uHealth"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1146\/annurev-publhealth-031914-122747","article-title":"Uses of electronic health records for public health surveillance to advance public health","volume":"36","author":"Birkhead","year":"2015","journal-title":"Annu. Rev. Public Health"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1007\/s10916-016-0628-9","article-title":"Barriers to Electronic Health Record Adoption: A Systematic Literature Review","volume":"40","author":"Kruse","year":"2016","journal-title":"J. Med. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.1109\/JBHI.2017.2767063","article-title":"Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis","volume":"22","author":"Shickel","year":"2018","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1177\/1049909117715217","article-title":"Utilizing the Electronic Health Record to Improve Advance Care Planning: A Systematic Review","volume":"35","author":"Huber","year":"2018","journal-title":"Am. J. Hosp. Palliat. Care"},{"key":"ref_21","unstructured":"Xing, L., Giger, M.L., and Min, J.K. (2021). Chapter 5\u2014Expert systems in medicine. Artificial Intelligence in Medicine, Academic Press."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1080\/09637486.2017.1287884","article-title":"Validation of a literature-based adherence score to Mediterranean diet: The MEDI-LITE score","volume":"68","author":"Sofi","year":"2017","journal-title":"Int. J. Food Sci. Nutr."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"105778","DOI":"10.1016\/j.actatropica.2020.105778","article-title":"One year update on the COVID-19 pandemic: Where are we now?","volume":"214","author":"Mishra","year":"2021","journal-title":"Acta Trop."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1312","DOI":"10.1111\/1467-9566.13101","article-title":"Delivering healthcare\u2019s \u2018triple aim\u2019: Electronic health records and the health research participant in the UK National Health Service","volume":"42","author":"Wyatt","year":"2020","journal-title":"Sociol. Health Illn."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2608","DOI":"10.1093\/jamia\/ocab194","article-title":"Documentation and review of social determinants of health data in the EHR: Measures and associated insights","volume":"28","author":"Wang","year":"2021","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1093\/eurpub\/cky127","article-title":"Socioeconomic and psychosocial determinants of adherence to the Mediterranean diet in a general adult Italian population","volume":"29","author":"Ruggiero","year":"2018","journal-title":"Eur. J. Public Health"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.numecd.2017.01.004","article-title":"Food group consumption in an Italian population using the updated food classification system FoodEx2: Results from the Italian Nutrition & HEalth Survey (INHES) study","volume":"27","author":"Pounis","year":"2017","journal-title":"Nutr. Metab. Cardiovasc. Dis."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1038\/ejhg.2015.233","article-title":"The Italian genome reflects the history of Europe and the Mediterranean basin","volume":"24","author":"Fiorito","year":"2016","journal-title":"Eur. J. Hum. Genet."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1159\/000101964","article-title":"Campora: A young genetic isolate in South Italy","volume":"64","author":"Colonna","year":"2007","journal-title":"Hum. Hered."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3045","DOI":"10.1038\/s41598-021-82591-9","article-title":"Genetic history of Calabrian Greeks reveals ancient events and long term isolation in the Aspromonte area of Southern Italy","volume":"11","author":"Sarno","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1038\/sj.ejhg.5201439","article-title":"The population history of the Croatian linguistic minority of Molise (southern Italy): A maternal view","volume":"13","author":"Babalini","year":"2005","journal-title":"Eur. J. Hum. Genet."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1984","DOI":"10.1038\/s41598-017-01802-4","article-title":"Ancient and recent admixture layers in Sicily and Southern Italy trace multiple migration routes along the Mediterranean","volume":"7","author":"Sarno","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1038\/s41597-021-00835-9","article-title":"Electronic healthcare records and external outcome data for hospitalized patients with heart failure","volume":"8","author":"Zhang","year":"2021","journal-title":"Sci. Data"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Pisesky, A., Benchimol, E.I., Wong, C.A., Hui, C., Crowe, M., B\u00e9lair, M.-A., Pojsupap, S., Karnauchow, T., O\u2019Hearn, K., and Yasseen, A.S. (2016). Incidence of Hospitalization for Respiratory Syncytial Virus Infection amongst Children in Ontario, Canada: A Population-Based Study Using Validated Health Administrative Data. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0150416"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1891\/1061-3749.27.2.313","article-title":"A Comparison of Missing-Data Imputation Techniques in Exploratory Factor Analysis","volume":"27","author":"Xiao","year":"2019","journal-title":"J. Nurs. Meas."}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/19\/11\/6365\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:17:30Z","timestamp":1760138250000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/19\/11\/6365"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,24]]},"references-count":35,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2022,6]]}},"alternative-id":["ijerph19116365"],"URL":"https:\/\/doi.org\/10.3390\/ijerph19116365","relation":{},"ISSN":["1660-4601"],"issn-type":[{"value":"1660-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,24]]}}}