1. Alopecia areata severity index (AASI): A reliable scoring system to assess the severity of alopecia areata on face and scalp—a pilot study
- Author
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Imran Majid, Javeed Sultan, Samia Aleem, and Farah Sameem
- Subjects
medicine.medical_specialty ,Treatment response ,Scalp ,Scoring system ,Alopecia Areata ,integumentary system ,Alpha Value ,business.industry ,Reproducibility of Results ,Pilot Projects ,Dermatology ,Alopecia areata ,medicine.disease ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,medicine ,Humans ,In patient ,business ,Hair - Abstract
Background All scoring systems used in Alopecia Areata (AA) focus mainly on scalp and cannot assess the severity or treatment response when AA involves the beard hair, eyebrows, or eyelashes. Aim This study describes and assesses the reliability of a new scoring system "Alopecia Areata Severity Index" (AASI) for measuring the severity of AA of scalp, beard, and upper face. Methods Scalp hair, beard hair, upper face (eyebrows and eyelashes) were individually assessed and the severity of AA was scored from 0 to 100 (0-50 in case of upper face). AASI score was then calculated as a sum of all these individual scores as AASI = AASI (scalp) + AASI (upper face) + AASI (beard)+. To test the inter-observer reliability of AASI score, 25 patients with varying severity of AA were scored by 4 trained dermatologists. Repeat scoring was performed after one week to test for intra-observer reliability. Results Excellent inter-rater, as well as intra-observer reliability, was observed with Chronbach's alpha value of 0.999 (CI = 0.989-1.000). The intra-observer correlation coefficient with average measure was 0.999 (CI = 0.990-1.000) with statistically significant F test Conclusion AASI score is a reliable scoring system to assess the severity of AA in patients with involvement of one or more areas of the body. Limitations Sample population belonged to single ethnic group.
- Published
- 2021
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