network analysis of multi-morbidity
Morbinet aims to explore multi-morbidity using a complex systems approach and network analysis. Diseases are linked if co-occurence exceeds the expected by their prevalence
We aim to build multimorbidity networks in the general population of Catalonia and define their properties. Subnets represent main health problems and simultaneous use of medication
Electronic medical records from primary care (SIDIAP database) with diagnoses coded using ICD10, ICPC2 and simplified-ICPC2 classifications. Medication is coded using ATC annotation.
The data includes 3,202,223 people aged over 18, with 2 or more chronic health problems active in the period 2005-16.
Data extraction from SIDIAP resource, with diseases and drugs coded. Descriptive analysis of prevalences
Disease associations are used to construct networks. Odd-ratiosn from logistic regression, adjusted for gender, age and period are used.More
Drugs prescribed to treat diseases are analyzed. First as a drug-use network, and second as a bipartite network with diseases.
Alba Aguado Principal investigator CSI-CAP Sagrada Familia
Ferran Moratalla Bioinformatician ICO-IDIBELL
Adriana Lopez-Doriga Biostatistician ICO-IDIBELL
Pepi Valverde Nurse CSI-ABS Gaudi
Flora López Phisician ICS-Martorell
Anna de Pedro Phisician CSI-ABS Gaudi
Research project PI-17/01182
Project funded by
Instituto de Salud Carlos III
, co-funded by FEDER funds –a way to build Europe–