Population-wide analysis of differences in disease progression patterns in men and women.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
08 02 2019
Historique:
received: 12 03 2018
accepted: 08 01 2019
entrez: 10 2 2019
pubmed: 10 2 2019
medline: 9 4 2019
Statut: epublish

Résumé

Sex-stratified medicine is a fundamentally important, yet understudied, facet of modern medical care. A data-driven model for how to systematically analyze population-wide, longitudinal differences in hospital admissions between men and women is needed. Here, we demonstrate a systematic analysis of all diseases and disease co-occurrences in the complete Danish population using the ICD-10 and Global Burden of Disease terminologies. Incidence rates of single diagnoses are different for men and women in most cases. The age at first diagnosis is typically lower for men, compared to women. Men and women share many disease co-occurrences. However, many sex-associated incongruities not linked directly to anatomical or genomic differences are also found. Analysis of multi-step trajectories uncover differences in longitudinal patterns, for example concerning injuries and substance abuse, cancer, and osteoporosis. The results point towards the need for an increased focus on sex-stratified medicine to elucidate the origins of the socio-economic and ethological differences.

Identifiants

pubmed: 30737381
doi: 10.1038/s41467-019-08475-9
pii: 10.1038/s41467-019-08475-9
pmc: PMC6368599
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

666

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Auteurs

David Westergaard (D)

Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.

Pope Moseley (P)

Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.

Freja Karuna Hemmingsen Sørup (FKH)

Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.
Unit of Clinical Pharmacology, Roskilde University Hospital, 4000, Roskilde, Denmark.

Pierre Baldi (P)

Institute for Genomics and Bioinformatics and Department of Computer Science, University of California, Irvine, CA, 92697, USA.

Søren Brunak (S)

Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark. soren.brunak@cpr.ku.dk.

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Classifications MeSH