{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T22:17:31Z","timestamp":1775600251173,"version":"3.50.1"},"reference-count":18,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T00:00:00Z","timestamp":1715904000000},"content-version":"vor","delay-in-days":16,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Medical Virology"],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Previous studies have proposed alopecia areata (AA) as a potential outcome of COVID\u201019 infection among autoimmune diseases, yet the findings might be inconclusive and difficult to generalize due to limited sample sizes and evidence levels. Thus, we aimed to investigate in detail the long\u2010term risk of AA following SARS\u2010CoV\u20102 infection based on large, binational, general population\u2010based cohort studies. Our study investigated the long\u2010term AA risk after SARS\u2010CoV\u20102 infection by analyzing bi\u2010national, claim\u2010based cohorts in South Korea and Japan: a Korean nationwide cohort (K\u2010COV\u2010N cohort; discovery cohort; total <jats:italic>n<\/jats:italic>\u2009=\u200910\u2009027\u2009506) and a Japanese claims\u2010based cohort (JMDC cohort; validation cohort; total <jats:italic>n<\/jats:italic>\u2009=\u200912\u2009218\u2009680). AA was identified based on the international classification of diseases 10th revision code (L63) requiring at least three claims within 1 year. After exposure\u2010driven propensity score matching, SARS\u2010CoV\u20102 infection was associated with an increased risk of incident AA (aHR, 1.66; 95% CI, 1.38\u20131.99). This increased risk was observed and persisted for up to 6 months. A similar pattern was observed in the validation cohort. As modifiable factors, severe COVID\u201019 increased the risk of AA, whereas receiving two or more doses of the COVID\u201019 vaccine before infection decreased the risk of AA. Through a bi\u2010national cohort study in South Korea and Japan, SARS\u2010CoV\u20102 infection was associated with an elevated risk for incident AA in the aspect of long COVID.<\/jats:p>","DOI":"10.1002\/jmv.29668","type":"journal-article","created":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T07:43:20Z","timestamp":1715931800000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Risks of alopecia areata in long COVID: Binational population\u2010based cohort studies from South Korea and Japan"],"prefix":"10.1002","volume":"96","author":[{"given":"Seoyeon","family":"Kyung","sequence":"first","affiliation":[{"name":"Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center Kyung Hee University College of Medicine Seoul South Korea"},{"name":"Department of Regulatory Science Kyung Hee University Seoul South 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USA"},{"name":"Department of Anesthesia, Critical Care and Pain Medicine Massachusetts General Hospital Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lee","family":"Smith","sequence":"additional","affiliation":[{"name":"Centre for Health, Performance and Wellbeing Anglia Ruskin University Cambridge UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hayeon","family":"Lee","sequence":"additional","affiliation":[{"name":"Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center Kyung Hee University College of Medicine Seoul South Korea"},{"name":"Department of Biomedical Engineering Kyung Hee University Yongin South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1628-9948","authenticated-orcid":false,"given":"Dong Keon","family":"Yon","sequence":"additional","affiliation":[{"name":"Center for Digital Health, Medical Science Research 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