Vitiligo and associated comorbidities: A case-control study in the All of Us database.

IF 3.7 4区 医学 Q1 DERMATOLOGY
Austin J Piontkowski, Celina Dubin, Sach Thakker, Jeremy Orloff, Camille Powers, Caroline Silver, Benjamin Ungar, Nicholas Gulati
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引用次数: 0

Abstract

Recent research has established an association between vitiligo and other autoimmune diseases. Given the systemic inflammation, there are likely other comorbidities with vitiligo that are not as well established. We identified 1,074 vitiligo patients and 4,296 matched controls in the All of Us database. Conditional logistic regression estimated the odds ratio (OR) and 95% confidence interval (CI) of 29 select comorbid conditions for vitiligo patients compared to matched controls. The Benjamini-Hochberg method was used to adjust p-values. On logistic regression, vitiligo patients had significantly increased likelihoods of atherosclerotic disease (OR 1.78, 95% CI 1.48-2.14, p<0.001), hypertension (OR 1.75, 95% CI 1.50-2.03, p<0.001), and hyperlipidemia (OR 2.32, 95% CI 1.99-2.72 p<0.001). Vitiligo patients additionally carried a significant bone and joint, autoimmune, endocrine, and psychiatric comorbidity burden. This convergence highlights the multifaceted nature of vitiligo, prompting a need for investigating therapeutic approaches capable of addressing both vitiligo and its varied comorbidities.

白癜风及相关合并症:All of Us数据库中的病例对照研究。
最近的研究已经确立了白癜风和其他自身免疫性疾病之间的联系。考虑到全身性炎症,白癜风可能还有其他尚未确定的合并症。我们在All of Us数据库中确定了1,074名白癜风患者和4,296名匹配的对照组。条件logistic回归估计了白癜风患者29种合并症的优势比(OR)和95%置信区间(CI),与匹配的对照组相比。采用Benjamini-Hochberg方法调整p值。经logistic回归分析,白癜风患者发生动脉粥样硬化性疾病的可能性显著增加(OR 1.78, 95% CI 1.48-2.14, p
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来源期刊
CiteScore
3.20
自引率
2.40%
发文量
389
审稿时长
3-8 weeks
期刊介绍: Clinical and Experimental Dermatology (CED) is a unique provider of relevant and educational material for practising clinicians and dermatological researchers. We support continuing professional development (CPD) of dermatology specialists to advance the understanding, management and treatment of skin disease in order to improve patient outcomes.
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