Background: Alopecia areata (AA) is an autoimmune, non-scarring hair loss disorder with variable clinical presentations. Trichoscopy is a non-invasive tool that aids in diagnosis, assessment of disease activity, and prognosis. The present study was conducted To evaluate the trichoscopic features in patients with AA and assess their association with disease activity and clinical patterns.
Materials and Methods: This cross-sectional study included 50 patients with clinically diagnosed AA. Trichoscopic examination was performed using a dermoscope at 10× magnification, assessing exclamation mark hairs, black dots, yellow dots, broken hairs, and vellus hairs. Associations with disease activity (active vs stable) and clinical pattern (patchy, totalis, universalis) were analyzed using Chi-square tests.
Results: The most common trichoscopic features were yellow dots (84%), black dots (72%), exclamation mark hairs (66%), broken hairs (58%), and vellus hairs (44%).Exclamation mark hairs and black dots were significantly associated with active disease (χ² = 14.2, p = 0.002; χ² = 4.8, p = 0.028). Broken hairs also correlated with activity (χ² = 5.3, p = 0.021). Yellow dots were predominant in chronic/extensive AA (χ² = 6.81, p = 0.033). Vellus hairs were observed mainly in regrowth areas.
Conclusion: Trichoscopic features provide objective markers of disease activity and chronicity in AA. Exclamation mark hairs and black dots indicate active lesions, yellow dots reflect chronic or extensive disease, and vellus hairs signify regrowth. Trichoscopy is thus valuable for diagnosis, monitoring, and prognostication in alopecia areata.
Alopecia areata (AA) is a chronic, autoimmune, non-scarring hair loss disorder that affects both children and adults, with a lifetime risk of approximately 1–2% worldwide [1,2]. The disease is characterized by well-circumscribed patches of hair loss, which may progress to total scalp involvement (alopecia totalis) or complete body hair loss (alopecia universalis) in severe cases [3]. Although the precise etiology remains unclear, AA is believed to result from autoimmune-mediated attack on anagen-phase hair follicles, leading to hair shaft disruption and follicular miniaturization [4,5]. Genetic predisposition, environmental triggers, and immune dysregulation are all implicated in its pathogenesis [6].
Clinical diagnosis of AA is usually straightforward in typical cases; however, early, subtle, or atypical presentations can pose diagnostic challenges. Differentiating AA from other hair disorders, such as telogen effluvium, trichotillomania, or scarring alopecias, is important for timely and appropriate management [7]. Traditionally, scalp biopsy has been considered the gold standard for diagnosis, but it is invasive, uncomfortable, and often unnecessary when non-invasive tools can provide sufficient diagnostic information [8].
Trichoscopy, a non-invasive dermoscopic technique, enables in vivo visualization of hair shafts, follicular openings, and perifollicular skin changes at high magnification. This technique allows for early detection of disease activity, differentiation from other hair disorders, and prognostication, without the need for biopsy [9,10]. Key trichoscopic features of AA include exclamation mark hairs, black dots, yellow dots, broken hairs, and short vellus hairs [11–13]. These features have been shown to correlate with disease activity, chronicity, and regrowth potential, making trichoscopy an essential diagnostic and monitoring tool in modern dermatology practice [14,15].
Despite the growing use of trichoscopy in clinical practice, data on trichoscopic patterns in diverse populations remain limited, and few studies have systematically correlated trichoscopic features with disease activity and clinical patterns. This study was therefore conducted to evaluate trichoscopic findings in patients with alopecia areata and to assess the association of these features with disease activity and clinical subtypes.
MATERIALS AND METHODS
Study Design and Setting
This was a hospital-based cross-sectional study conducted in the Department of Dermatology at Tertiary care hospital for a period of 6 months. The study protocol was reviewed and approved by the Institutional Ethics Committee. Written informed consent was obtained from all participants prior to enrolment.
Study Population
Sample Size
A total of 50 patients fulfilling the inclusion criteria were enrolled consecutively during the study period. This sample size was considered adequate to identify common trichoscopic patterns and evaluate associations with disease activity.
Clinical Assessment
Trichoscopic Examination
Statistical Analysis: Data were entered into Microsoft Excel and analysed using SPSS version 20. Continuous variables were expressed as mean ± standard deviation (SD). Categorical variables were expressed as frequencies and percentages. Associations between trichoscopic features and disease activity or pattern were analyzed using Chi-square test. A p-value < 0.05 was considered statistically significant.
RESULTS
A total of 50 patients with alopecia areata were included. The mean age was 28.6 ± 9.4 years, with 56% males and 44% females. The most common clinical pattern was patchy AA (70%), followed by alopecia totalis (20%) and alopecia universalis (10%). Active disease was seen in 60% of patients (Table 1).
|
Characteristic |
Number of Patients (%) or Mean ± SD |
|
Age (years) |
28.6 ± 9.4 |
|
Age groups |
|
|
– <20 years |
10 (20%) |
|
– 20–40 years |
30 (60%) |
|
– >40 years |
10 (20%) |
|
Sex |
|
|
– Male |
28 (56%) |
|
– Female |
22 (44%) |
|
Duration of Disease (months) |
9.2 ± 6.1 |
|
Clinical Pattern |
|
|
– Patchy AA |
35 (70%) |
|
– Alopecia Totalis |
10 (20%) |
|
– Alopecia Universalis |
5 (10%) |
|
Disease Activity |
|
|
– Active (new/enlarging patches within 6 months) |
30 (60%) |
|
– Stable/Chronic |
20 (40%) |
|
Family History of AA |
8 (16%) |
|
History of Autoimmune Disorders |
5 (10%) |
Exclamation mark hairs and black dots were strong indicators of active disease, reflecting ongoing follicular damage. Broken hairs also correlated with active lesions. Yellow dots were more common in stable or chronic patches, while vellus hairs indicated early regrowth. These trichoscopic markers provide objective assessment of disease activity and can guide clinical monitoring (Table 2)
Table 2: Association of Trichoscopic Features with Disease activity
|
Feature |
Active AA (%) |
Stable AA (%) |
p-value |
|
Exclamation mark hairs |
26/30 (86.7%) |
7/20 (35%) |
0.002 |
|
Black dots |
25/30 (83.3%) |
11/20 (55%) |
0.028 |
|
Yellow dots |
24/30 (80%) |
18/20 (90%) |
0.317 |
|
Broken hairs |
20/30 (66.7%) |
9/20 (45%) |
0.021 |
|
Vellus hairs |
12/30 (40%) |
10/20 (50%) |
0.438 |
Patchy AA shows higher prevalence of exclamation mark hairs and black dots, markers of active disease. Alopecia totalis and universalis show predominance of yellow dots, reflecting chronicity and follicular inactivity (Table 3).
Table 3: Association of Trichoscopic Features with Clinical Pattern in Alopecia Areata
|
Trichoscopic Feature |
Patchy AA (n = 35) |
Alopecia Totalis (n = 10) |
Alopecia Universalis (n = 5) |
p-value |
|
Exclamation mark hairs |
26 (74%) |
4 (40%) |
3 (60%) |
0.077 |
|
Black dots |
24 (69%) |
6 (60%) |
6 (60%) |
0.813 |
|
Yellow dots |
23 (66%) |
9 (90%) |
5 (100%) |
0.033 |
|
Broken hairs |
20 (57%) |
5 (50%) |
4 (80%) |
0.492 |
|
Vellus hairs |
18 (51%) |
3 (30%) |
1 (20%) |
0.201 |
.
DISCUSSION
Alopecia areata (AA) is an autoimmune, non-scarring hair loss disorder with a variable clinical course, ranging from patchy hair loss to complete scalp or body involvement [16]. Accurate assessment of disease activity and chronicity is essential for diagnosis, prognosis, and treatment planning. Trichoscopy, a non-invasive dermoscopic technique, has emerged as a valuable tool for evaluating hair and scalp disorders, including AA [17].
Trichoscopic Features and Disease Activity
In the present study, exclamation mark hairs (66%) and black dots (72%) were the most prominent features associated with active lesions. Statistical analysis confirmed a significant association of these features with active disease (p < 0.05). These findings are consistent with previous studies, which report that exclamation mark hairs represent tapered proximal shafts due to autoimmune follicular attack, while black dots indicate cadaverized hairs within follicular openings, serving as markers of ongoing follicular damage [18,19].
Broken hairs (58%) were also significantly associated with active disease. Their presence reflects acute mechanical or immune-mediated disruption of hair shafts, corroborating prior observations by Tosti et al. [20].
Conversely, yellow dots (84%) were more prominent in chronic or extensive AA, although not statistically significant with active vs stable lesions. Yellow dots represent keratin-filled follicular ostia, indicative of inactive or miniaturized follicles, and are often reported in chronic disease or extensive alopecia totalis/universalis [21,22].
Vellus hairs (44%), predominantly observed in regrowth areas, indicate early recovery and have been associated with favorable prognosis [23].
Association with Clinical Patterns
Patchy AA showed higher prevalence of exclamation mark hairs and black dots, whereas alopecia totalis and universalis exhibited predominant yellow dots, reflecting chronicity and follicular inactivity. This aligns with prior research showing that trichoscopic patterns can differentiate disease severity and guide prognosis [24,25].
CONCLUSION
Trichoscopy is a non-invasive, reliable, and valuable tool for the evaluation of alopecia areata. Characteristic features such as exclamation mark hairs and black dots are strongly associated with active disease, while yellow dots indicate chronicity or extensive involvement. Broken hairs reflect ongoing follicular damage, and vellus hairs signify early regrowth and favorable prognosis. Routine trichoscopic assessment can aid in early diagnosis, monitoring disease activity, guiding treatment decisions, and prognostication, reducing the need for invasive procedures like scalp biopsy.
Declaration:
Conflicts of interests: The authors declare no conflicts of interest.
Author contribution: All authors have contributed in the manuscript.
Author funding: Nill
REFERENCES