Analysis of mortality metrics associated with a comprehensive range of disorders in Denmark, 2000 to 2018: A population-based cohort study

Male Denmark R 610 Denmark/epidemiology 3. Good health Cohort Studies Benchmarking 03 medical and health sciences Life Expectancy 0302 clinical medicine 13. Climate action Air Pollution Medicine Humans Female Mortality Research Article
DOI: 10.1371/journal.pmed.1004023 Publication Date: 2022-06-16T17:53:42Z
ABSTRACT
The provision of different types mortality metrics (e.g., rate ratios [MRRs] and life expectancy) allows the research community to access a more informative set health metrics. aim this study was provide panel associated with comprehensive range disorders design web page visualize all results.In population-based cohort 7,378,598 persons living in Denmark at some point between 2000 2018, we identified individuals diagnosed hospitals 1,803 specific categories through International Classification Diseases-10th Revision (ICD-10) National Patient Register. Information on date cause death obtained from Registry Causes Death. For each disorders, epidemiological estimated, including incidence rates, age-of-onset distributions, MRRs, differences expectancy (estimated as years lost [LYLs]). Additionally, examined models that adjusted for measures air pollution explore potential associations MRRs. We focus 39 general medical conditions simplify presentation results, which cover 10 broad categories: circulatory, endocrine, pulmonary, gastrointestinal, urogenital, musculoskeletal, hematologic, mental, neurologic cancer. A total 3,676,694 males 3,701,904 females were followed up 101.7 million person-years. During 19-year follow-up period, 1,034,273 (14.0%) died. 37 selected conditions, rates larger shorter compared Danish population. these MRRs ranged 1.09 (95% confidence interval [CI]: 1.10) vision problems 7.85 (7.77 7.93) chronic liver disease, while LYLs 0.31 (0.14 0.47) (approximately 16 weeks) allergy 17.05 (16.95 17.15) disease. Adjustment had very little impact estimates; however, limitation is possibility association could be explained by other underlying factors both disorder mortality.In study, show estimates incidence, age onset, death, (both LYLs) disorders. interactive data visualization site (https://nbepi.com/atlas) fine-grained analysis link key estimates.
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