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Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study

According to previous studies, the increased risk of cutaneous infectious disorders in patients with atopic dermatitis (AD) is related to impaired epidermal function, abnormal systemic immune function, and lower antimicrobial peptides. In this study, we analyzed the association between AD and cutane...

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Autores principales: Han, Ju-Hee, Yoon, Jae-Woong, Yook, Hwa-Jung, Bang, Chul-Hwan, Chun, Jae-Hun, Lee, Jun-Young, Park, Young-Min, Lee, Suk-Jun, Lee, Ji-Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225084/
https://www.ncbi.nlm.nih.gov/pubmed/35743492
http://dx.doi.org/10.3390/jcm11123422
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author Han, Ju-Hee
Yoon, Jae-Woong
Yook, Hwa-Jung
Bang, Chul-Hwan
Chun, Jae-Hun
Lee, Jun-Young
Park, Young-Min
Lee, Suk-Jun
Lee, Ji-Hyun
author_facet Han, Ju-Hee
Yoon, Jae-Woong
Yook, Hwa-Jung
Bang, Chul-Hwan
Chun, Jae-Hun
Lee, Jun-Young
Park, Young-Min
Lee, Suk-Jun
Lee, Ji-Hyun
author_sort Han, Ju-Hee
collection PubMed
description According to previous studies, the increased risk of cutaneous infectious disorders in patients with atopic dermatitis (AD) is related to impaired epidermal function, abnormal systemic immune function, and lower antimicrobial peptides. In this study, we analyzed the association between AD and cutaneous infectious disorders in the real world using sequential pattern mining (SPM). We analyzed National Health Insurance data from 2010–2013 using SPM to identify comorbid cutaneous infectious diseases and the onset durations of comorbidities. Patients with AD were at greater risk for molluscum contagiosum (adjusted odds ratio (aOR), 5.273), impetigo (aOR, 2.852), chickenpox (aOR, 2.251), otitis media (aOR, 1.748), eczema herpeticum (aOR, 1.292), and viral warts (aOR, 1.105). In SPM analysis, comorbidity of 1.06% shown in molluscum contagiosum was the highest value, and the duration of 77.42 days documented for molluscum contagiosum was the shortest onset duration among all the association rules. This study suggests that AD is associated with an increased risk of cutaneous infectious disorders. In particular, care should be taken regarding its high relevance with impetigo, molluscum contagiosum, and otitis media, which may help in preventing AD from worsening through appropriately preventing and managing the condition.
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spelling pubmed-92250842022-06-24 Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study Han, Ju-Hee Yoon, Jae-Woong Yook, Hwa-Jung Bang, Chul-Hwan Chun, Jae-Hun Lee, Jun-Young Park, Young-Min Lee, Suk-Jun Lee, Ji-Hyun J Clin Med Article According to previous studies, the increased risk of cutaneous infectious disorders in patients with atopic dermatitis (AD) is related to impaired epidermal function, abnormal systemic immune function, and lower antimicrobial peptides. In this study, we analyzed the association between AD and cutaneous infectious disorders in the real world using sequential pattern mining (SPM). We analyzed National Health Insurance data from 2010–2013 using SPM to identify comorbid cutaneous infectious diseases and the onset durations of comorbidities. Patients with AD were at greater risk for molluscum contagiosum (adjusted odds ratio (aOR), 5.273), impetigo (aOR, 2.852), chickenpox (aOR, 2.251), otitis media (aOR, 1.748), eczema herpeticum (aOR, 1.292), and viral warts (aOR, 1.105). In SPM analysis, comorbidity of 1.06% shown in molluscum contagiosum was the highest value, and the duration of 77.42 days documented for molluscum contagiosum was the shortest onset duration among all the association rules. This study suggests that AD is associated with an increased risk of cutaneous infectious disorders. In particular, care should be taken regarding its high relevance with impetigo, molluscum contagiosum, and otitis media, which may help in preventing AD from worsening through appropriately preventing and managing the condition. MDPI 2022-06-14 /pmc/articles/PMC9225084/ /pubmed/35743492 http://dx.doi.org/10.3390/jcm11123422 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Han, Ju-Hee
Yoon, Jae-Woong
Yook, Hwa-Jung
Bang, Chul-Hwan
Chun, Jae-Hun
Lee, Jun-Young
Park, Young-Min
Lee, Suk-Jun
Lee, Ji-Hyun
Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study
title Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study
title_full Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study
title_fullStr Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study
title_full_unstemmed Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study
title_short Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study
title_sort evaluation of atopic dermatitis and cutaneous infectious disorders using sequential pattern mining: a nationwide population-based cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225084/
https://www.ncbi.nlm.nih.gov/pubmed/35743492
http://dx.doi.org/10.3390/jcm11123422
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