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.
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.