Evidence map›Paper›PMID 34347558›Full record

ArticleThe Journal of asthma : official journal of the Association for the Care of Asthma2022

Atopic asthma as a potentially significant but unrecognized risk factor for Kawasaki disease in children.

Bong Seok Choi, Editt Nikoyan Taslakian, Chung-Il Wi, Youn Ho Shin, Hee Yun Seol, Euijung Ryu, Thomas G Boyce, Jonathan N Johnson, Katherine S King, Jung Hyun Kwon and 1 more

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In one paragraph

Article in The Journal of asthma : official journal of the Association for the Care of Asthma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 8 institutions in 2 countries.

Bong Seok ChoiDepartment of Pediatrics, School of Medicine, Kyungpook National University, Daegu, South Korea.
Editt Nikoyan TaslakianDivision of Plastic Surgery, Department of Surgery, University of Washington Medical Center, Seattle, WA, USA.
Chung-Il WiPrecision Population Medicine Lab, Mayo Clinic, Rochester, MN, USA.
Youn Ho ShinDepartment of Pediatrics, CHA Gangnam Medical Center, CHA University School of Medicine, Seoul, Korea.
Hee Yun SeolPrecision Population Medicine Lab, Mayo Clinic, Rochester, MN, USA.
Euijung RyuDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-6281-8738
Thomas G BoyceDepartment of Pediatrics, Levine Children's Hospital, Charlotte, NC, USA.
Jonathan N JohnsonDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.
Katherine S KingDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Jung Hyun KwonPrecision Population Medicine Lab, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-1068-9203
Young J JuhnPrecision Population Medicine Lab, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USMayo Clinic · USCHA University · KRKorea University · KRKyungpook National University · KRLevine Children's Hospital · USMayo Clinic in Florida · USUniversity of Washington Medical Center · US

Funding

Identification and characterization of children with asthma-associated comorbidities through computational and immune phenotypingR01HL126667 · NHLBI · MAYO CLINIC ROCHESTER · PI JUHN, YOUNG J, LIU, HONGFANG · 2015 to 2022
$4.3M
NHLBI NIH HHS R01 HL126667
6 · The paper itself

Abstract

objectivesChildhood asthma is known to be associated with risks of both respiratory and non-respiratory infections. Little is known about the relationship between asthma and the risk of Kawasaki disease (KD). We assessed associations of asthma status and asthma phenotype (e.g. atopic asthma) with KD.

methodsWe performed a population-based retrospective case-control study, using KD cases between January 1, 1979, and December 31, 2016, and two matched controls per case. KD cases were defined by the American Heart Association diagnostic criteria. Asthma status prior to KD (or control) index dates was ascertained by the two asthma criteria, Predetermined Asthma Criteria (PAC) and Asthma Predictive Index (API, a surrogate phenotype of atopic asthma). We assessed whether 4 phenotypes (both PAC + and API+; PAC + only; API + only, and non-asthmatics) were associated with KD.

resultsThere were 124 KD cases during the study period. The group having both PAC + and API + was significantly associated with the increased odds of KD, compared to non-asthmatics (odds ratio [OR] 4.3; 95% CI: 1.3 - 14.3). While asthma defined by PAC was not associated with KD, asthma defined by PAC positive with eosinophilia (≥4%) was significantly associated with the increased odds of KD (OR: 6.7; 95% CI: 1.6 - 28.6) compared to non-asthmatics. Asthma status defined by API was associated with KD (OR = 4.7; 95% CI: 1.4-15.1).

conclusionsAtopic asthma may be associated with increased odds of KD. Further prospective studies are needed to determine biological mechanisms underlying the association between atopic asthma and increased odds of KD.

Indexed as

AsthmaMucocutaneous Lymph Node SyndromeCase-Control StudiesHumansRetrospective StudiesRisk FactorsEpidemiologypediatricsphenotypes

Identifiers

PMID34347558
PMCPMC8885770
OpenAlexW3187572084

What OpenQuestion holds

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Registered trials

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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.