Autoimmune, Atopic, and Mental Health Comorbid Conditions Associated With Alopecia Areata in the United States

Huang, Kathie P.; Mullangi, Samyukta; Guo, Ye; Qureshi, Abrar A.

doi:10.1001/jamadermatol.2013.3049

Cited by 202 publications

(197 citation statements)

References 37 publications

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“…However, 2 further case-control studies (2,639 AA patients and 730 controls) did not report a statistically significant association between AR and AA [29, 28]. Two cross-sectional studies ( n = 2,915) reported a prevalence of AA and AR ranging from 24.9 to 38.2% [14, 31]. …”

Section: Resultsmentioning

confidence: 99%

The Immunological Association between Alopecia Areata and Respiratory Diseases: A Systematic Review

Sung

Choi

Juhász

et al. 2019

Skin Appendage Disord

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Background: While alopecia areata (AA) has been associated with atopy, the immunological relationship is unclear, with the association of specific atopic and systemic respiratory diseases not established. The relationship between T-helper (Th)1-mediated AA and Th2-mediated atopy challenges the conventional Th1/Th2 paradigm of autoimmune disease categorization. Objectives: To determine the association between AA and atopic respiratory diseases in adults and children, and respiratory diseases in general. Method: All primary literature, excluding case reports, were identified within PubMed/MEDLINE, CINAHL, and Web of Science in May 2018 using the following search terms: “(alopecia OR hair loss) AND (respiratory OR pulmonary OR lungs OR asthma OR rhinitis OR bronchitis OR COPD OR atopy OR atopic).” Information from 32 articles meeting the inclusion and exclusion criteria was reviewed. Results: Among the 32 articles identified for inclusion, the prevalence of AA was more strongly associated with allergic rhinitis compared to asthma among pediatric and adult populations. While a significant association was identified between AA, allergic rhinitis, and a late age of onset, the association of AA and asthma remains controversial despite asthma’s prevalence among AA patients. No significant difference was identified with regard to the association of AA and non-atopic respiratory diseases between adult and pediatric patients. Conclusions: Adult and pediatric patients with AA warrant further workup for atopic respiratory diseases such as allergic rhinitis. AA may have an underlying Th2-mediated immunological component, which supports its association with atopic respiratory diseases and provides a new avenue for targeted therapies in select cases.

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Section: Resultsmentioning

confidence: 99%

The Immunological Association between Alopecia Areata and Respiratory Diseases: A Systematic Review

Sung

Choi

Juhász

et al. 2019

Skin Appendage Disord

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“…The third gene IKZ4 also contributes to alopecia and vitiligo, which confronts us with possible idea of a genetic association between these diseases. The relationship between alopecia and vitiligo has been validated through previously conducted research studies (Huang et al 2013;Krishnaram et al 2013). Similarly, the gene FGFR2 contributes to Apert syndrome, Crouzon syndrome, and Beare-Stevenson cutis gyrata syndrome (Fig.…”

Section: Disease-gene Bipartite Network (Dgn)mentioning

confidence: 89%

DermaGene and VitmiRS: a comprehensive systems analysis of genetic dermatological disorders

et al. 2018

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“…One study uses NLP and classification models to identify reportable cancer cases from clinical notes [10]; it generates a list of cases that can be validated more easily by final users. Similar proposals analyze characteristics and patterns of patients with alopecia areata [19], asthma [13], diabetes [14], cancer [15], uveitis [20], or cataracts [21], among others. These proposals are focused on one disease at a time and use the text contained in progress notes as input.…”

Section: Background and Related Workmentioning

confidence: 99%

A Strategy for Prioritizing Electronic Medical Records Using Structured Analysis and Natural Language Processing

Quimbaya

González

Velandía

et al. 2017

IyU

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Objective: Electronic medical records (EMR) typically contain both structured attributes as well as narrative text. The usefulness of EMR for research and administration is hampered by the difficulty in automatically analyzing their narrative portions. Accordingly, this paper proposes SPIRE, a strategy for prioritizing EMR, using natural language processing in combination with analysis of structured data, in order to identify and rank EMR that match specific queries from clinical researchers and health administrators. Materials and Methods: The resulting software tool was evaluated technically and validated with three cases (heart failure, pulmonary hypertension and diabetes mellitus) compared against expert obtained results. Results and Discussion: Our preliminary results show high sensitivity (70%, 82% and 87% respectively) and specificity (85%, 73.7% and 87.5%) in the resulting set of records. The AUC was between 0.84 and 0.9. Conclusions: SPIRE was successfully implemented and used in the context of a university hospital information system, enabling clinical researchers to obtain prioritized EMR to solve their information needs through collaborative search templates with faster and more accurate results than other existing methods.

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Autoimmune, Atopic, and Mental Health Comorbid Conditions Associated With Alopecia Areata in the United States

Abstract: We found a high prevalence of comorbid conditions among individuals with AA presenting to academic medical centers in Boston. Physicians caring for patients with AA should consider screening for comorbid conditions.

Cited by 202 publications

References 37 publications

The Immunological Association between Alopecia Areata and Respiratory Diseases: A Systematic Review

The Immunological Association between Alopecia Areata and Respiratory Diseases: A Systematic Review

DermaGene and VitmiRS: a comprehensive systems analysis of genetic dermatological disorders

A Strategy for Prioritizing Electronic Medical Records Using Structured Analysis and Natural Language Processing

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