MorbiNet: multimorbidity networks in adult general population. Analysis of type 2 diabetes mellitus comorbidity

dc.contributor.authorAguado, Alba
dc.contributor.authorMoratalla Navarro, Ferran
dc.contributor.authorLópez Simarro, Flora
dc.contributor.authorMoreno Aguado, Víctor
dc.date.accessioned2020-03-05T12:16:49Z
dc.date.available2020-03-05T12:16:49Z
dc.date.issued2020-02-12
dc.date.updated2020-02-19T00:44:00Z
dc.description.abstractMultimorbidity has great impact on health care. We constructed multimorbidity networks in the general population, extracted subnets focused on common chronic conditions and analysed type 2 diabetes mellitus (T2DM) comorbidity network. We used electronic records from 3,135,948 adult people in Catalonia, Spain (539,909 with T2DM), with at least 2 coexistent chronic conditions within the study period (2006–2017). We constructed networks from odds-ratio estimates adjusted by age and sex and considered connections with OR > 1.2 and p-value < 1e-5. Directed networks and trajectories were derived from temporal associations. Interactive networks are freely available in a website with the option to customize characteristics and subnets. The more connected conditions in T2DM undirected network were: complicated hypertension and atherosclerosis/peripheral vascular disease (degree: 32), cholecystitis/cholelithiasis, retinopathy and peripheral neuritis/neuropathy (degree: 31). T2DM has moderate number of connections and centrality but is associated with conditions with high scores in the multimorbidity network (neuropathy, anaemia and digestive diseases), and severe conditions with poor prognosis. The strongest associations from T2DM directed networks were to retinopathy (OR: 23.8), glomerulonephritis/nephrosis (OR: 3.4), peripheral neuritis/neuropathy (OR: 2.7) and pancreas cancer (OR: 2.4). Temporal associations showed the relevance of retinopathy in the progression to complicated hypertension, cerebrovascular disease, ischemic heart disease and organ failure.
dc.format.extent12 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec708812
dc.identifier.pmid32051506
dc.identifier.urihttps://hdl.handle.net/2445/152039
dc.language.isoeng
dc.publisherNature
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1038/s41598-020-59336-1
dc.relation.ispartofScientific Reports, 2020, vol. 10
dc.relation.urihttps://doi.org/10.1038/s41598-020-59336-1
dc.rightscc by (c) Aguado et al., 2020
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.sourceArticles publicats en revistes (Ciències Clíniques)
dc.subject.classificationMorbiditat
dc.subject.classificationDiabetis no-insulinodependent
dc.subject.otherMorbidity
dc.subject.otherNon-insulin-dependent diabetes
dc.titleMorbiNet: multimorbidity networks in adult general population. Analysis of type 2 diabetes mellitus comorbidity
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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