The Ratio of Typical Clubbing in Pulled-Out Hairs as a Useful Marker in Predicting the Course of Alopecia Areata.

So Hee Park, Hyojin Kim, Jong Uk Kim, Seong Min Hong, Sang Woo Ahn
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Abstract

Background: Analysis of hair microscopic morphology is a simple and less invasive method to differentiate alopecia areata (AA) from other alopecic diseases. However, there is limited information on the distribution of the microscopic characteristics.

Objective: This study evaluated the microscopic morphological characteristics of pulled-out hair and their correlation with disease course in AA.

Methods: Morphological characteristics of pulled-out hair were classified into 5 categories: the presence of typical clubbing, surface undulation, tapering, breakage, and depigmentation in proximal hair shaft. Clinical course of AA was investigated through assessment of Severity of Alopecia Tool (SALT) score (initial score, maximal score and difference of them [ΔSALT]).

Results: Among 1,272 pulled-out hairs (n=179) obtained at initial visit, depigmentation (59.5%) was the most common, followed by loss of typical clubbing (57.2%) and surface undulation (55.2%). The percentage of loss of typical clubbing and proximal tapering was significantly higher in severe type of AA, younger age of onset and shorter disease duration. The ratio of typical clubbing (<50% vs. ≥50%) was associated with difference in maximal score and ΔSALT (p<0.05). Strong activity group (pulled-out hair ≥10, n=33) showed difference in clinical course (maximal score, ΔSALT) as well as distribution of microscopic features (loss of typical clubbing) compared with those in non-strong activity group. The ratio of typical clubbing significantly increased at follow-up than initially in strong activity group (p<0.05).

Conclusion: Microscopic hair morphology, especially loss of typical clubbing and proximal tapering, could be useful tool to predict the course of AA.

预测脱发病程的有用指标--拔出的头发中典型秃顶的比例
背景:毛发显微形态分析是区分斑秃(AA)和其他脱发疾病的一种简单而创伤较小的方法。然而,关于显微镜特征分布的信息却很有限:本研究评估了拔出头发的显微形态特征及其与 AA 病程的相关性:方法:将拔出头发的形态特征分为 5 类:是否存在典型的俱乐部、表面起伏、变细、断裂和近端发干色素沉着。通过评估脱发严重程度工具(SALT)评分(初始评分、最高评分和两者之差[ΔSALT])来调查 AA 的临床病程:在初诊时获得的 1 272 根拔出的毛发(n=179)中,脱色(59.5%)最为常见,其次是典型clubbing脱失(57.2%)和表面起伏(55.2%)。在严重型 AA、发病年龄较小且病程较短的患者中,典型小畸形和近端变细的比例明显较高。典型畸形的比例(ppConclusion):毛发的显微形态学,尤其是典型畸形和近端渐细的丧失,可作为预测 AA 病程的有用工具。
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