Evidence map›Paper›PMID 25938548›Full record

ArticlePloS one2015

Childhood hospitalisation with infection and cardiovascular disease in early-mid adulthood: a longitudinal population-based study.

David P Burgner, Matthew N Cooper, Hannah C Moore, Fiona J Stanley, Peter L Thompson, Nicholas H de Klerk, Kim W Carter

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

14 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Trained Immunity and Reactivity of Macrophages and Endothelial Cells.Arteriosclerosis, thrombosis, and vascular biology · 2021
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

7 authors at 3 institutions in 1 country.

David P BurgnerMurdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia; School of Paediatrics and Child Health, University of Western Australia, Crawley, Western Australia, Australia; Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia; Department of Paediatrics, Monash University, Clayton, Victoria, Australia.
Matthew N CooperDivision of Population Sciences, Telethon Kids Institute, University of Western Australia, Subiaco, Western Australia, Australia.
Hannah C MooreDivision of Population Sciences, Telethon Kids Institute, University of Western Australia, Subiaco, Western Australia, Australia.
Fiona J StanleySchool of Paediatrics and Child Health, University of Western Australia, Crawley, Western Australia, Australia.
Peter L ThompsonDepartment of Cardiovascular Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia; School of Medicine and Pharmacology and Population Health, University of Western Australia, Crawley, Western Australia, Australia.
Nicholas H de KlerkDivision of Population Sciences, Telethon Kids Institute, University of Western Australia, Subiaco, Western Australia, Australia.
Kim W CarterMcCusker Charitable Foundation Bioinformatics Centre, Telethon Kids Institute, University of Western Australia, Subiaco, Western Australia, Australia.
The Kids Research Institute Australia · AUUniversity of Western Australia · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPathogen-specific and overall infection burden may contribute to atherosclerosis and cardiovascular disease (CVD), but the effect of infection severity and timing is unknown. We investigated whether childhood infection-related hospitalisation (IRH, a marker of severity) was associated with subsequent adult CVD hospitalisation.

methodsUsing longitudinal population-based statutorily-collected administrative health data from Western Australia (1970-2009), we identified adults hospitalised with CVD (ischaemic heart disease, ischaemic stroke, and peripheral vascular disease) and matched them (10:1) to population controls. We used Cox regression to assess relationships between number and type of childhood IRH and adulthood CVD hospitalisation, adjusting for sex, age, Indigenous status, socioeconomic status, and birth weight.

results631 subjects with CVD-related hospitalisation in adulthood (≥ 18 years) were matched with 6310 controls. One or more childhood (< 18 years) IRH was predictive of adult CVD-related hospitalisation (adjusted hazard ratio, 1.3; 95% CI 1.1-1.6; P < 0.001). The association showed a dose-response; ≥ 3 childhood IRH was associated with a 2.2 times increased risk of CVD-related hospitalisation in adulthood (adjusted hazard ratio, 2.2; 95% CI 1.7-2.9; P < 0.001). The association was observed across all clinical diagnostic groups of infection (upper respiratory tract infection, lower respiratory tract infection, infectious gastroenteritis, urinary tract infection, skin and soft tissue infection, and other viral infection), and individually with CVD diagnostic categories (ischaemic heart disease, ischaemic stroke and peripheral vascular disease).

conclusionsSevere childhood infection is associated with CVD hospitalisations in adulthood in a dose-dependent manner, independent of population-level risk factors.

Indexed as

AdultCardiovascular DiseasesChildChild, PreschoolCommunicable DiseasesFemaleHospitalizationHumansKaplan-Meier EstimateLongitudinal StudiesMaleRisk Factors

Identifiers

PMID25938548
PMCPMC4418819
OpenAlexW296844792

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.