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Trichoscopic findings in alopecia areata and their relation to disease activity, severity and clinical subtype in T urkish patients
Author(s) -
Kibar Melike,
Aktan Şebnem,
Lebe Banu,
Bilgin Muzaffer
Publication year - 2015
Publication title -
australasian journal of dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.67
H-Index - 53
eISSN - 1440-0960
pISSN - 0004-8380
DOI - 10.1111/ajd.12102
Subject(s) - alopecia areata , medicine , dermatology , vellus hair , male pattern baldness , dermatoscopy , psoriasis , hair loss , scalp , melanoma , cancer research
Background/Objective Trichoscopic studies of alopecia areata are helpful in the non‐invasive diagnosis and prediction of the course of the disease. The objective was to determine the relationship of trichoscopic findings in alopecia areata with disease activity, severity and clinical subtype in Turkish patients. Methods Trichoscopic examinations of 39 patients with alopecia areata were compared with 309 alopecia patients including psoriasis ( n = 31), seborrhoeic dermatitis ( n = 112), female androgenetic alopecia ( n = 138), male androgenetic alopecia ( n = 63), female androgenetic alopecia of male pattern ( n = 5), telogen effluvium ( n = 22) and trichotillomania ( n = 4). A χ 2 test and logistic regression analysis were used for the statistical analysis. The odds ratios were calculated by cross tabulation. Results There was no relationship between the alopecia areata subtype and trichoscopic findings. On the other hand, a honeycomb hyperpigmentation pattern, cumulus‐like clustered white dots, white dots and black dotted pigmentation related to severe disease, while exclamation mark hairs related to mild disease. Exclamation mark hairs were found to be related to active disease while atypical red vessels and white dots were negatively related to disease activity. Conclusion In our study, further characteristic trichoscopic findings were detected in alopecia areata such as clustered white dots, multi‐hair follicular unit, hidden hairs and black dotted pigmentation, in addition to previous findings. Hence, it is concluded that the identification and prediction of alopecia areata might be straightforward with the help of these new signs such as activation and severity findings.