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Big Data Reveal Insights into Alopecia Areata Comorbidities.
Lim, Chean Ping; Severin, Rachel K; Petukhova, Lynn.
Affiliation
  • Lim CP; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
  • Severin RK; Department of Dermatology, College of Physicians and Surgeons, Columbia University, New York, New York, USA.
  • Petukhova L; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA; Department of Dermatology, College of Physicians and Surgeons, Columbia University, New York, New York, USA. Electronic address: lynn.petukhova@columbia.edu.
J Investig Dermatol Symp Proc ; 19(1): S57-S61, 2018 01.
Article in En | MEDLINE | ID: mdl-29273109
ABSTRACT
Autoimmune diseases create a substantial burden of disease, and alopecia areata is among the more prevalent forms. Comorbidities are medical conditions that tend to occur together and may provide etiologic insights, suggest novel therapeutic strategies, and help patients and family members understand the risk of other health conditions. It is well established that having one autoimmune disease increases risk for others because of an underlying shared biology. Precision medicine initiatives are creating vast amounts of data that allow us to efficiently identify comorbidities. A survey across various datasets suggests that patients with autoimmune disease, and patients with alopecia areata in particular, may have comorbid neuropsychiatric and metabolic conditions.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alopecia Areata Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Female / Humans / Male Language: En Journal: J Investig Dermatol Symp Proc Journal subject: DERMATOLOGIA Year: 2018 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alopecia Areata Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Female / Humans / Male Language: En Journal: J Investig Dermatol Symp Proc Journal subject: DERMATOLOGIA Year: 2018 Type: Article Affiliation country: United States