morbinet

`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

Project Aims

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

Data

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

Data extraction from SIDIAP resource, with diseases and drugs coded. Descriptive analysis of prevalences

Disease Networks

Disease associations are used to construct networks. Odds-ratios from logistic regression, adjusted for gender, age and period are used.

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Drug Networks

Drugs prescribed to treat diseases are analyzed. First as a drug-use network, and second as a bipartite network with diseases.

Progress

Data extraction

100%

Network estimation

100%

Papers

100%

Publications

MorbiNet: multimorbidity networks in adult general population. Analysis of type 2 diabetes mellitus comorbidity. Alba Aguado, Ferran Moratalla-Navarro, Flora López-Simarro & Victor Moreno.
Scientific Reports 10 2416 (2020). doi:10.1038/s41598-020-59336-1

MorbiNet Study: Hypothyroidism Comorbidity Networks in the Adult General Population. Ferran Moratalla-Navarro, Victor Moreno, Flora López-Simarro & Alba Aguado.
J Clin Endocrinol Metab. (2021) 8;106(3):e1179-e1190 doi:10.1210/clinem/dgaa927

Multimorbidity and chronic co-prescription networks and potential interactions in adult patients with epilepsy: MorbiNet study. Ferran Moratalla-Navarro, Victor Moreno, Flora López-Simarro, Maria Estrella Barceló & Alba Aguado.
Neurological Sciences. (2022) doi:10.1007/s10072-022-06375-3