Association between psoriasis and short-term outcomes of acute myocardial infarction: A matched-pair cohort study using a nationwide inpatient database in Japan.

AMI, acute myocardial infarction CABG, coronary artery bypass graft ICD-10, International Statistical Classification of Diseases, Tenth Revision MI, myocardial infarction OR, odds ratio PCI, percutaneous coronary intervention acute myocardial infarction cardiovascular disease epidemiology matched-pair cohort mortality nationwide inpatient database psoriasis

Journal

JAAD international
ISSN: 2666-3287
Titre abrégé: JAAD Int
Pays: United States
ID NLM: 101774762

Informations de publication

Date de publication:
Sep 2022
Historique:
accepted: 13 04 2022
entrez: 27 5 2022
pubmed: 28 5 2022
medline: 28 5 2022
Statut: epublish

Résumé

Psoriasis is a known risk factor for acute myocardial infarction (AMI). However, the associations between psoriasis and short-term outcomes of AMI remain controversial. To compare the short-term outcomes of AMI patients with and without psoriasis accounting for patient background characteristics and site-specific effects. We identified patients with AMI between July 2010 and March 2020, using a Japanese national inpatient database. We matched patients with and without psoriasis to generate a 1:10 matched-pair cohort matched for sex, hospital, and fiscal year at admission. Multivariable regression analyses with adjustment for background characteristics including age and Killip class at admission were conducted to compare short-term outcomes of AMI. In this study of AMI patients with psoriasis ( Retrospective study design without data on psoriasis severity. The matched-pair cohort analyses with adjustment for patient background characteristics and site-specific effects revealed decreased in-hospital mortality in AMI patients with psoriasis.

Sections du résumé

Background UNASSIGNED
Psoriasis is a known risk factor for acute myocardial infarction (AMI). However, the associations between psoriasis and short-term outcomes of AMI remain controversial.
Objective UNASSIGNED
To compare the short-term outcomes of AMI patients with and without psoriasis accounting for patient background characteristics and site-specific effects.
Methods UNASSIGNED
We identified patients with AMI between July 2010 and March 2020, using a Japanese national inpatient database. We matched patients with and without psoriasis to generate a 1:10 matched-pair cohort matched for sex, hospital, and fiscal year at admission. Multivariable regression analyses with adjustment for background characteristics including age and Killip class at admission were conducted to compare short-term outcomes of AMI.
Results UNASSIGNED
In this study of AMI patients with psoriasis (
Limitations UNASSIGNED
Retrospective study design without data on psoriasis severity.
Conclusion UNASSIGNED
The matched-pair cohort analyses with adjustment for patient background characteristics and site-specific effects revealed decreased in-hospital mortality in AMI patients with psoriasis.

Identifiants

pubmed: 35620322
doi: 10.1016/j.jdin.2022.04.007
pii: S2666-3287(22)00053-0
pmc: PMC9127561
doi:

Types de publication

Journal Article

Langues

eng

Pagination

21-30

Informations de copyright

© 2022 by the American Academy of Dermatology, Inc. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Dr Miyachi has received honoraria from companies that manufacture drugs used for the treatment of psoriasis, including Janssen Pharmaceutical KK, Taiho Pharmaceutical Co Ltd, and AbbVie GK. The other authors have no conflicts of interest to disclose.

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Auteurs

Hideaki Miyachi (H)

Department of Dermatology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Takaaki Konishi (T)

Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.

Daisuke Shigemi (D)

Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.

Hiroki Matsui (H)

Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.

Sayuri Shimizu (S)

Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Kanagawa, Japan.

Kiyohide Fushimi (K)

Department of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University Graduate School, Tokyo, Japan.

Hiroyuki Matsue (H)

Department of Dermatology, Graduate School of Medicine, Chiba University, Chiba, Japan.

Hideo Yasunaga (H)

Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.

Classifications MeSH