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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Population-wide analysis of differences in disease progression patterns in men and women. / Westergaard, David; Moseley, Pope; Sørup, Freja Karuna Hemmingsen; Baldi, Pierre; Brunak, Søren.

In: Nature Communications, Vol. 10, No. 1, 666, 2019.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Westergaard, D, Moseley, P, Sørup, FKH, Baldi, P & Brunak, S 2019, 'Population-wide analysis of differences in disease progression patterns in men and women', Nature Communications, vol. 10, no. 1, 666. https://doi.org/10.1038/s41467-019-08475-9

APA

Westergaard, D., Moseley, P., Sørup, F. K. H., Baldi, P., & Brunak, S. (2019). Population-wide analysis of differences in disease progression patterns in men and women. Nature Communications, 10(1), [666]. https://doi.org/10.1038/s41467-019-08475-9

Vancouver

Westergaard D, Moseley P, Sørup FKH, Baldi P, Brunak S. Population-wide analysis of differences in disease progression patterns in men and women. Nature Communications. 2019;10(1). 666. https://doi.org/10.1038/s41467-019-08475-9

Author

Westergaard, David ; Moseley, Pope ; Sørup, Freja Karuna Hemmingsen ; Baldi, Pierre ; Brunak, Søren. / Population-wide analysis of differences in disease progression patterns in men and women. In: Nature Communications. 2019 ; Vol. 10, No. 1.

Bibtex

@article{a5adef01660b4c6fbcc115f2a3060b97,
title = "Population-wide analysis of differences in disease progression patterns in men and women",
abstract = "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.",
author = "David Westergaard and Pope Moseley and S{\o}rup, {Freja Karuna Hemmingsen} and Pierre Baldi and S{\o}ren Brunak",
year = "2019",
doi = "10.1038/s41467-019-08475-9",
language = "English",
volume = "10",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Population-wide analysis of differences in disease progression patterns in men and women

AU - Westergaard, David

AU - Moseley, Pope

AU - Sørup, Freja Karuna Hemmingsen

AU - Baldi, Pierre

AU - Brunak, Søren

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

U2 - 10.1038/s41467-019-08475-9

DO - 10.1038/s41467-019-08475-9

M3 - Journal article

C2 - 30737381

VL - 10

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 666

ER -

ID: 213235970