Lifetime incidence and healthcare disparities in alopecia areata: A UK population-based cohort study.

IF 11 1区 医学 Q1 DERMATOLOGY British Journal of Dermatology Pub Date : 2024-08-06 DOI:10.1093/bjd/ljae307
Andrew R Thompson, Christos Tziotzios, John Nesnas, Rowena Randall, Maciej Czachorowski, Andrew Messenger
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Abstract

Background: Alopecia areata (AA) is an immune-mediated form of hair loss that can occur at any age, often with a significant mental health burden.

Objectives: We aimed to provide estimates of the lifetime incidence of AA, and the impacts on mental health, healthcare utilisation and work-related outcomes, assessing variation across major sociodemographic subgroups.

Methods: AA cases were identified in primary care from the UK population-based Oxford-Royal College of General Practitioners Research and Surveillance Centre database (2009-2018). Lifetime incidence of AA was estimated at age 80 using modified time-to-event models with age as the timescale, overall and stratified by sex, ethnicity, deprivation, and geography. Mental health, healthcare utilisation and work-related outcomes were assessed in the two years after AA diagnosis compared to matched unaffected controls, and stratified by the same sociodemographic subgroups .

Results: 6,961 people developed AA during the study period. Overall lifetime incidence of AA was 2.11% (95% Confidence Interval [CI] 2.06, 2.16%). Females had a higher lifetime incidence 2.35% (95%CI 2.28, 2.43%) than males 1.88% (95%CI 1.81, 1.94%). Lifetime incidence was higher in those of Asian ethnicity 5.87% (95%CI 5.51, 6.24), other 4.47% (95%CI 3.63, 5.31), mixed 4.44% (95%CI 3.50, 5.37) and black 3.03% (95%CI 2.63, 3.42) ethnicity, compared to white ethnicity 1.74% (95%CI 1.68, 1.80). Lifetime incidence was highest in those with the greatest deprivation; most-deprived quintile 2.92% (95%CI 2.77, 3.07%) compared to least-deprived 1.68% (95%CI 1.59, 1.78%). Across sociodemographic subgroups, people with AA of black ethnicity were most likely to have anxiety (adjusted Odds Ratio versus matched controls 2.92, 95%CI 1.71, 4.91), and had the greatest risk of time off work (adjusted Hazard Ratio versus matched controls 2.54, 95%CI 1.80, 3.56).

Conclusions: AA affects around 1 in 50 people over their lifetime. Incidence and the impact of AA on mental health and work outcomes, is highest in ethnic groups other than white. Clinicians should be aware of the marked heterogeneity in the incidence and impact of AA, and support targeted healthcare to groups at the highest risk of alopecia and its consequences.The study protocol for this retrospective observational study was registered with ClinicalTrials.gov (Identifier: NCT05727306).

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斑秃患者的终生发病率和医疗保健差异:一项基于英国人口的队列研究。
背景:斑秃(AA)是一种由免疫介导的脱发,可发生于任何年龄,通常会对心理健康造成严重影响:我们旨在提供 AA 终生发病率的估计值,以及对心理健康、医疗保健利用率和工作相关结果的影响,评估主要社会人口亚群的差异:从英国牛津-皇家全科医师学院研究与监测中心数据库(2009-2018 年)中的基层医疗机构中发现 AA 病例。采用以年龄为时间尺度的修正时间到事件模型,对80岁时的AA终生发病率进行估计,并按性别、种族、贫困程度和地域进行分层。与匹配的未受影响的对照组相比,并按相同的社会人口亚组进行分层,评估了 AA 诊断后两年内的心理健康、医疗保健利用率和工作相关结果:在研究期间,共有 6961 人罹患 AA。AA 终生总发病率为 2.11%(95% 置信区间 [CI] 2.06%,2.16%)。女性终生发病率为 2.35%(95% 置信区间 [CI] 2.28,2.43%),高于男性的 1.88%(95% 置信区间 [CI] 1.81,1.94%)。与白人 1.74% (95%CI 1.68, 1.80)相比,亚裔 5.87% (95%CI 5.51, 6.24)、其他 4.47% (95%CI 3.63, 5.31)、混血 4.44% (95%CI 3.50, 5.37)和黑人 3.03% (95%CI 2.63, 3.42)的终生发病率更高。最贫困人群的终生发病率最高;最贫困的五分之一人群为 2.92% (95%CI 2.77, 3.07%),而最不贫困人群为 1.68% (95%CI 1.59, 1.78%)。在所有社会人口亚群中,黑人 AA 患者最有可能患有焦虑症(与匹配对照组相比,调整后的比值比为 2.92,95%CI 为 1.71,4.91),而且请假的风险最大(与匹配对照组相比,调整后的危险比为 2.54,95%CI 为 1.80,3.56):每 50 人中就有 1 人终生受到 AA 的影响。除白人外,其他族裔群体的 AA 发病率最高,对心理健康和工作结果的影响也最大。临床医生应该意识到脱发症发病率和影响的显著异质性,并支持为脱发症及其后果风险最高的群体提供有针对性的医疗保健服务。这项回顾性观察研究的研究方案已在 ClinicalTrials.gov 注册(标识符:NCT05727306)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
British Journal of Dermatology
British Journal of Dermatology 医学-皮肤病学
CiteScore
16.30
自引率
3.90%
发文量
1062
审稿时长
2-4 weeks
期刊介绍: The British Journal of Dermatology (BJD) is committed to publishing the highest quality dermatological research. Through its publications, the journal seeks to advance the understanding, management, and treatment of skin diseases, ultimately aiming to improve patient outcomes.
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