Evidence map›Paper›PMID 39448967›Full record

ArticleBMC public health2024

Longitudinal assessment of the impact of prevalent diabetes on hospital admissions and mortality in the general population: a prospective population-based study with 19 years of follow-up.

Madeleine Johansson, Anna Åkesson, Peter M Nilsson, Olle Melander

Abstract read
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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Madeleine JohanssonDepartment of Clinical Sciences, Lund University, Malmö, Sweden. madeleine.johansson@med.lu.se.ORCID 0000-0001-9057-9148
Anna ÅkessonClinical Studies Sweden - Forum South, Skåne University Hospital, Lund, Sweden.
Peter M NilssonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.ORCID 0000-0002-5652-8459
Olle MelanderDepartment of Clinical Sciences, Lund University, Malmö, Sweden.ORCID 0000-0002-2581-484X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitalization indicates the presence of severe disease and constitutes a leading cost in health care. We aimed to prospectively assess if prevalent diabetes mellitus contributes to excess all-cause and cause-specific hospital admissions and mortality at the population level.

methodsWe used a Swedish prospective population-based cohort, including 25,642 individuals of whom 4.2% had prevalent diabetes at baseline (mean age 61.2 ± 6.8 years, age range 44.8-73.4 years). We compared the number of hospitalizations and mortality classified according to the main chapters of the 10th revision of the International Classification of Diseases (ICD-10) during follow-up using nationwide inpatient registries, comparing individuals with and without prevalent diabetes, using multivariate adjusted negative binomial regression (incidence rate ratio, IRR) and Cox regression, respectively.

resultsDuring a median follow-up of 19 years, 18,904 subjects were hospitalized at least once [median 3 (IQR 2-6)] and 6767 (26.4%) individuals died. Overall, subjects with diabetes were hospitalized (IRR 1.83, p < 0.001) more often, and had a higher incidence rate of hospital admissions due to endocrine diseases (IRR 14.6, p < 0.001), dermatological diseases (IRR 3.7, p < 0.001), injuries and poisoning (IRR 2.7, p < 0.001), infectious diseases (IRR 2.5, p < 0.001), psychiatric diseases (IRR 2.0, p < 0.001), but also cardiovascular, hematological, genitourinary, neurologic and respiratory diseases compared with non-diabetic individuals. No difference was observed for hospital admissions due to cancer or musculoskeletal disorders. All-cause mortality was higher (HR 1.77, p < 0.001) in individuals with diabetes, with disease-specific mortality being significant only for cardiovascular and endocrine disease-related death.

conclusionsAt the population level, prevalent diabetes increased the hospitalization burden longitudinally due to diseases of most of the ICD-10 main chapters, except for cancer and musculoskeletal disorders. These novel findings challenge the current view on the spectrum of prevalent diabetes-related conditions and may have implications for screening and treatment strategies in diabetes. PERMISSION OF GRAPHICAL ILLUSTRATIONS: Source: Pixabay.com. No permission or acknowledgement is required.

Indexed as

Diabetes MellitusHospitalizationAdultAgedFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedPrevalenceProspective StudiesRegistriesSwedenDiabetes mellitusEpidemiologyHospitalizationICD-10MortalityRisk

Identifiers

PMID39448967
PMCPMC11515336

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.