Prevalence and Risk Factors Associated with the Occurrence of Autoimmune Diseases in Patients with Alopecia Areata

Abstract

Background

Increased rates of autoimmune diseases (ADs) have been reported in association with alopecia areata (AA); however, the risk factors for coexisting ADs in AA patients have been poorly investigated.

Objective

To evaluate the prevalence and factors associated with AD comorbidities in patients with AA.

Methods

This case–control study included patients diagnosed with AA between January 2000 and March 2020. Individuals with AA, both with and without concomitant ADs, were statistically compared. Variables significantly associated with coexisting ADs were identified using univariate and multivariate logistic regression analyses. Multinomial logistic regression analysis was performed to identify the specific risk factors for each concomitant AD.

Results

Among the 615 patients with AA, comorbid ADs were found in 76 (12.4%). Autoimmune thyroid disease (AITD) exhibited the highest frequency (n = 42, 6.8%), followed by vitiligo (n = 15, 2.4%), and systemic lupus erythematosus (SLE) (n = 12, 2.0%). Logistic regression analyses revealed that female sex (odds ratio [OR] = 2.45, 95% confidence interval [CI] = 1.24–4.82; P = 0.011), nail abnormalities (OR = 2.49, 95% CI = 1.14–5.46; P = 0.023), and atopic diseases (OR = 1.98, 95% CI = 1.09–2.43; P < 0.001) were significantly associated with coexisting ADs. Regarding each concomitant AD, nail abnormalities were an associated factor for AITD (OR = 4.65, 95% CI = 1.96–7.24; P = 0.01), whereas coexisting atopic diseases were demonstrated as a predictor of vitiligo (OR = 2.48, 95% CI = 1.43–4.58; P = 0.02). Female sex (OR = 1.61, 95% CI = 1.18–4.27; P = 0.04) and family history of AD (OR = 1.85, 95% CI = 1.26–4.19; P = 0.03) were predictors of SLE.

Conclusion

This study suggests that female AA patients with nail abnormalities and atopic diseases have increased rates of AD comorbidities. A thorough review of systems for associated factors can help physicians screen for concomitant ADs.

Introduction

Alopecia areata (AA) is an immune-mediated disorder characterized by nonscarring hair loss. It affects individuals of all ages, sexes, and races with an estimated lifetime prevalence of 2% worldwide.^1,2 AA manifests as well-defined patches of hair loss with characteristic exclamation mark hairs on the scalp and other hair-bearing areas that may progress to total scalp (alopecia totalis [AT]) or complete body (alopecia universalis [AU]) hair loss.^3–6 Nail abnormalities have occasionally been observed,⁷ with nail pitting being the most common symptom.⁸ The disease is considered globally significant, with major psychological impacts due to the variability of treatment responses and chronic, relapsing, and unpredictable clinical course.⁹

The pathogenesis of AA is unclear; however, an autoimmune etiology with genetic predisposition has been hypothesized.^10–12 The presence of various circulating autoantibodies and autoantigens at the affected scalp of AA patients underlines its autoimmune process.¹³ Additionally, genome-wide association studies have reported several genomic regions related to AA.¹⁴ Epigenetics, including environment and stress, may also be associated with disease occurrence.¹⁵ Associations between AA and several autoimmune diseases (ADs) have been previously reported.^16,17 AA was found to coexist with other ADs, including autoimmune thyroid diseases (AITD), vitiligo, systemic lupus erythematosus (SLE), rheumatoid arthritis, type 1 diabetes mellitus, ulcerative colitis, coeliac disease, and scleroderma.^7,18–21 However, the frequency of these comorbid ADs was reported differently among geographical populations.¹⁸

Awareness of potential comorbid ADs, in-depth investigations, and prompt management are crucial for improving the treatment outcomes of AA. Although AA patients are predisposed to comorbid ADs, factors influencing the development of coexisting ADs remain poorly investigated. We aimed to determine the spectrum of AD and factors associated with comorbid ADs in a cohort of Thai AA patients; additionally, specific factors were evaluated for each AD.

Materials and Methods

Study Design

This single-center case–control study was conducted in accordance with the principles of the Declaration of Helsinki. The protocol was approved by the Mahidol University Institutional Review Board for Ethics in Human Research (MURA2019/250). All subjects included were classified based on the presence (cases) or absence (controls) of AD. Informed consent was waived for this study, and data anonymization was performed before analysis.

Study Participants and Data Collection

Subjects included patients clinically and/or histologically diagnosed with AA between January 2000 and March 2019 from the outpatient dermatology clinic at Ramathibodi Hospital, Bangkok, Thailand; a minimum follow-up period of one year was required. Data regarding sex, age at AA onset, duration of AA, family history of AA, family history of AD, AA subtypes (ie, patch-type, multiple patches, AT/AU, and ophiasis), severity of AA according to the Severity of Alopecia Tool Score (SALT), nail abnormalities, comorbidities, and laboratory results were obtained from electronic medical records from January 2000 to March 2020. Patients with incomplete personal or clinical records, serological or histological data for the diagnosis of AA and comorbidities, or other hair and scalp disorders were excluded.

Comorbid ADs in this study were defined according to the modified version of Witebsky’s postulates.²² Atopic diseases comprised allergic rhinitis, asthma, and atopic dermatitis. AITDs included Graves’ disease and Hashimoto’s thyroiditis. AD and other comorbidities were diagnosed based on medical records from previous specialist examinations. To ensure diagnostic validity, we limited subjects to those with a written report from a specialist confirming their diagnosis and at least two visits to our clinic under this diagnosis. Patient demographics and clinical characteristics were compared between groups, and further subgroup analysis was performed to identify specific risk factors for each AD.

Statistical Analysis

Analyses were performed using SPSS Statistics version 18.0 (SPSS Inc., Chicago, IL, USA). To detect a modestly sized odds ratio (OR), the sample size was estimated based on data from a previous study regarding the prevalence of AD in patients with AA.¹⁸ At least 375 patients were required to yield a statistical power of 95% and a two-sided significance level of 5%. Categorical variables were reported as proportions, and continuous variables were expressed as means ± standard deviations (SDs) or medians (interquartile ranges, IQR). Differences between AA patients with and without AD were determined using the Chi-square, Fisher’s exact, Mann–Whitney U, or independent samples t-tests, as appropriate.

ORs and 95% confidence intervals (CIs) were calculated for the entire cohort as an estimate of the relative risk and were used to describe the associations. To initially assess associations between factors of interest and comorbid ADs, univariate analysis was performed, comparing demographics and clinical characteristics. Multivariable logistic regression analysis was performed to adjust for potential confounding where appropriate and identify factors associated with concurrent AD. Multinomial logistic regression was used to evaluate the relationships between potential risk factors and each of the reported ADs. Two-tailed P-values <0.05 were considered statistically significant and analyzed without any formal adjustment for multiple comparisons.

Results

Demographics and Clinical Characteristics

Six hundred fifteen patients with AA met the inclusion criteria; 76 (12.4%) were assigned to the AA with AD group and 539 (87.6%) were in the AA without AD group. Table 1 presents the demographics and clinical characteristics of patients with and without AD. Most patients were females (61 [80.2%] in the AD group and 351 [65%] in the non-AD group), with a significantly higher proportion in the AD group (P=0.008). The mean age at AA onset was 37.9±11.1 years in patients with AD compared to those without AD (36.8±10.7 years; P=0.618). Although age at onset was stratified into five subgroups, comparison between the two groups remained compatible (P=0.737). There were also no statistically significant differences between groups for the median duration of AA (P=0.09); however, when disease duration was stratified per year, more patients with AD had a duration >1 year (P<0.001). Fifty-four AA patients presented with nail abnormalities, including nail pitting (n=50, 7.1%), trachyonychia (n=5, 0.8%), and onychorrhexis (n=5, 0.8%). Patients with AD had a higher proportion of body hair involvement (8.2% vs 3.0%; P=0.031), nail involvement (17.1% vs 7.6%; P=0.006), and atopic diseases (39.4% vs 20.7%; P<0.001). No statistically significant differences were observed between patients with and without AD regarding AA clinical subtypes (P=0.192), severity of AA (P=0.181), family history of AA (P=0.541), or family history of AD (P=0.071).

Table 1.

Demographic and Clinical Characteristics of 615 Included Patients with Alopecia Areata

Variables	AA with AD (n = 76)	AA without AD (n = 539)	P-value
Sex, n (%)			0.008*
● Male	15 (19.8)	188 (35)
● Female	61 (80.2)	351 (65)
Age at AA onset, year, mean (SD)	37.9 (11.1)	36.8 (10.7)	0.618
Age at AA onset, year, n (%)			0.737
● < 18	5 (6.6)	43 (8.0)
● 18–30	21 (27.6)	173 (32.1)
● 31–45	18 (23.7)	140 (26.0)
● 46–60	19 (25.0)	108 (20.0)
● > 60	13 (17.1)	75 (13.9)
Duration of disease, month, median (IQR)	8 (4.5–23.5)	5 (3–11)	0.09
Duration of disease, n (%)			<0.001*
● < 1 year	43 (56.6)	419 (77.8)
● > 1 year	33 (43.4)	120 (22.2)
AA subtype, n (%)			0.192
● Patch-type AA	45 (59.2)	380 (70.5)
● Multiple AA	22 (28.9)	109 (20.3)
● AT/AU	8 (10.5)	39 (7.2)
● Ophiasis	1 (1.4)	11 (2.0)
Severity of AA (SALT score), n (%)			0.181
● 0–25%	51 (67.1)	409 (75.9)
● 26–50%	12 (15.8)	48 (8.9)
● 51–75%	5 (6.6)	42 (7.8)
● 76–100%	8 (10.5)	40 (7.4)
Body hair involvement, n (%)	6 (8.2)	16 (3.0)	0.031*
Nail abnormalities, n (%)	13 (17.1)	41 (7.6)	0.006*
Atopic diseases, n (%)	30 (39.4)	112 (20.7)	<0.001*
Family history of AA, n (%)	2 (2.6)	22 (4.1)	0.541
Family history of AD, n (%)	6 (7.9)	19 (3.5)	0.071

Note: *Statistically significant.

Abbreviations: AA, alopecia areata; AD, autoimmune disease; AT/AU, alopecia totalis/alopecia universalis; IQR, interquartile range; SALT, Severity of Alopecia Tool; SD, standard deviation.

Autoimmune Diseases and Other Comorbidities

Seven ADs were reported in our cohort, and none of the patients exhibited more than one type. The most prevalent AD was AITD (n=42, 6.8%), followed by vitiligo (n=15, 2.4%), SLE (n=12, 2.0%), psoriasis (n=3, 0.5%), rheumatoid arthritis (n=2, 0.3%), myasthenia gravis (n=1, 0.2%), and systemic sclerosis (n=1, 0.2%). Hashimoto thyroiditis and Graves’ disease were found in 23 (4%) and 19 (3%) patients with AITD, respectively. A comparison of the prevalence of non-AD comorbidities revealed that atopic diseases were predominantly found in patients with ADs (39.4% vs 20.7%), while the rest were comparable between groups (Table 2). The most common atopic condition was atopic dermatitis (n=69, 11.2%), followed by allergic rhinitis (n=54, 8.8%), and asthma (n=19, 3.1%).

Table 2.

Spectrum and Prevalence of Comorbidities Observed in 615 Patients with Alopecia Areata

Variables	AA with AD (n = 76)	AA without AD (n = 539)	P-value
Autoimmune conditions, n (%)
● AITD	42 (6.8)	-	-
● Vitiligo	15 (2.4)	-	-
● SLE	12 (2.0)	-	-
● Psoriasis	3 (0.5)	-	-
● Rheumatoid arthritis	2 (0.3)	-	-
● Myasthenia gravis	1 (0.2)	-	-
● Systemic sclerosis	1 (0.2)	-	-
Other comorbidities, n (%)
● Atopic diseases	30 (39.4)	112 (20.7)	<0.001*
● Iron deficiency anemia	1 (1.3)	6 (1.1)	0.876
● Viral hepatitis B	1 (1.3)	5 (0.9)	0.747
● HIV infection	1 (1.3)	6 (1.1)	0.876
● Hypertension	2 (1.5)	10 (1.8)	0.646
● Dyslipidemia	1 (1.3)	9 (1.6)	0.309
● Type 2 diabetes mellitus	3 (3.9)	24 (4.4)	0.841
● Malignancy	2 (2.6)	18 (3.3)	0.744
● Psychiatric disorders	0	4 (0.7)	0.611

Note: *Statistically significant.

Abbreviations: AA, alopecia areata; AD, autoimmune disease; AITD, autoimmune thyroid disease; HIV, human immunodeficiency virus; SLE, systemic lupus erythematosus.

Factors Associated with Autoimmune Disease Comorbidity in Alopecia Areata

In the logistic regression model, factors linked to AD and AA via univariate analysis were female sex (OR=2.20, 95% CI=1.14–4.23; P=0.018), AA duration >1 year (OR=1.60, 95% CI=1.20–4.49; P=0.041), body hair involvement (OR=2.91, 95% CI=1.03–8.28; P=0.043), nail abnormalities (OR=2.83, 95% CI=1.13–5.05: P=0.021), and atopic diseases (OR=1.84, 95% CI=1.12–2.51; P<0.001). Multivariable logistic regression analysis, adjusted for potential confounders in the univariate model, revealed that female sex (OR=2.45, 95% CI=1.24–4.82; P=0.011), nail abnormalities (OR=2.49, 95% CI=1.14–5.46: P=0.023), and atopic diseases (OR=1.98, 95% CI=1.09–2.43; P<0.001) were factors associated with the occurrence of AD in patients with AA, while other features, including an AA duration >1 year and body hair involvement, were not (Table 3).

Table 3.

Univariate and Multivariable Logistic Regression Analyses for the Risk of Coexisting Autoimmune Diseases in Patients with Alopecia Areata

Variables	OR (95% CI)	P-value	Adjusted OR (95% CI)	P-value
Female	2.20 (1.14–4.23)	0.018*	2.45 (1.24–4.82)	0.011*
Age at AA onset
● < 18	Reference
● 18–30	1.22 (0.28–1.86)	0.497
● 31–45	1.45 (0.22–1.91)	0.199
● 46–60	1.64 (0.23–2.62)	0.514
● > 60	1.72 (0.21–3.45)	0.603
Duration of disease > 1 year	1.60 (1.20–4.49)	0.041*	1.13 (0.69–2.01)	0.072
AA subtype
● Patch-type AA	Reference
● Multiple AA	1.24 (0.29–2.52)	0.072
● AT/AU	0.62 (0.39–2.15)	0.845
● Ophiasis	0.89 (0.06–1.42)	0.999
Severity of AA (SALT score)
● 0–25%	Reference
● 26–50%	1.41 (0.82–3.59)	0.153
● 51–75%	0.94 (0.11–6.67)	0.870
● 76–100%	1.69 (0.21–2.33)	0.555
Body hair involvement	2.91 (1.03–8.28)	0.043*	2.71 (0.90–8.16)	0.076
Nail abnormalities	2.38 (1.13–5.05)	0.021*	2.49 (1.14–5.46)	0.023*
Atopic diseases	1.84 (1.12–2.51)	<0.001*	1.98 (1.09–2.43)	<0.001*
Family history of AA	0.76 (0.07–5.06)	0.633
Family history of AD	1.15 (0.21–2.68)	0.468

Note: *Statistically significant.

Abbreviations: AA, alopecia areata; AD, autoimmune disease; AT/AU, alopecia totalis/alopecia universalis; CI, confidence interval; OR, odds ratio; SALT, Severity of Alopecia Tool.

Factors Associated with Each Autoimmune Disease in Alopecia Areata

Unadjusted and adjusted multinomial logistic regression analyses were performed to assess whether AD was associated with the variables examined and obtain the odds of pairwise comparisons between patients without AD and each AD subgroup. Patients without AD represented the reference category. Patients with psoriasis, rheumatoid arthritis, myasthenia gravis, and systemic sclerosis were excluded as the risk could not be analyzed due to the small number of cases. Table 4 presents details regarding significant variables in the adjusted multinomial logistic regression analysis. Compared to AA individuals without AD, nail abnormalities were an associated factor for AITD (OR=4.65, 95% CI=1.96–7.24; P=0.01), whereas an age at onset >60 years and AT/AU subtype revealed borderline significance (OR=1.89, 95% CI=0.92–2.66; P=0.06; OR=1.82, 95% CI=0.44–3.26; P=0.07, respectively). Concomitant atopic diseases were a specific predictor for vitiligo (OR=2.48, 95% CI=1.43–4.58; P=0.02), while female sex and family history of AD were significant factors correlated with SLE (OR=1.61, 95% CI=1.18–4.27; P=0.04 and OR=1.85, 95% CI=1.26–4.19; P=0.03, respectively).

Table 4.

Multinomial Logistic Regression Analysis for the Risk of Each Additional Autoimmune Disease in Patients with Alopecia Areata

Variables	AITD		Vitiligo		SLE
	Adjusted OR (95% CI)	P-value	Adjusted OR (95% CI)	P-value	Adjusted OR (95% CI)	P-value
Female	1.23 (0.52–3.66)	0.61	0.89 (0.27–2.44)	0.73	1.61 (1.18–4.27)	0.04*
Age at AA onset
● < 18	Reference		Reference		Reference
● 18–30	0.54 (0.21–3.45)	0.64	0.77 (0.46–2.37)	0.31	1.42 (0.63–3.21)	0.18
● 31–45	0.88 (0.46–2.91)	0.36	1.01 (0.25–3.61)	0.68	0.62 (0.45–2.99)	0.58
● 46–60	1.52 (0.85–3.22)	0.19	1.04 (0.42–2.88)	0.52	0.38 (0.21–1.86)	0.47
● > 60	1.89 (0.92–2.66)	0.06	0.74 (0.59–3.12)	0.29	-	-
AA subtype
● Patch-type AA	Reference		Reference		Reference
● Multiple AA	0.77 (0.22–2.54)	0.49	0.47 (0.35–3.88)	0.66	0.39 (0.15–2.89)	0.58
● AT/AU	1.82 (0.44–3.26)	0.07	0.99 (0.43–3.94)	0.53	1.26 (0.44–2.68)	0.36
● Ophiasis	-	-	-	-	2.11 (0.79–4.26)	0.49
Body hair involvement	3.74 (0.77–5.33)	0.46	2.31 (0.82–3.69)	0.29	1.07 (0.44–2.79)	0.57
Nail abnormalities	4.65 (1.96–7.24)	0.01*	1.76 (0.59–3.76)	0.25	0.97 (0.28–2.99)	0.22
Atopic diseases	1.85 (0.84–3.46)	0.16	2.48 (1.43–4.58)	0.02*	2.16 (0.84–4.31)	0.64
Family history of AD	2.28 (0.44–3.99)	0.69	3.61 (0.55–4.97)	0.76	1.85 (1.26–4.19)	0.03*

Note: *Statistically significant.

Abbreviations: AA, alopecia areata; AD, autoimmune disease; AITD, autoimmune thyroid disease; AT/AU, alopecia totalis/alopecia universalis; CI, confidence interval; OR, odds ratio; SLE, systemic lupus erythematosus.

Discussion

Several studies suggest a strong association between AA and AD; however, little is known regarding the risk factors for AD. In our study, a relatively large number of subjects demonstrated that the most prevalent AD in Thais was AITDs; among individuals with AA, female patients with nail abnormalities and atopic diseases were more likely to have additional ADs. Moreover, nail involvement in AA patients with AD was associated with an increased risk of coexisting AITD, while atopic diseases were associated with vitiligo. Female AA patients with a family history of AD were more likely to develop SLE.

In this study, approximately 12.4% of AA patients had an AD, a rate 2.7-fold higher than that in the general population (4.5%)²² and comparable to previous reports (12–16%).^19,23 The association between AA and other ADs has been previously documented,^19,24–28 and seven ADs were reported in our study. Compared to previous reports in patients with AA, AITD was the most common AD with prevalence within the expected range (6.8% vs 7.2–7.4%); vitiligo and SLE were prevalent higher (2.4% vs 0.3–0.9%, and 2% vs 1.3–1.5%, respectively).^16,29 In contrast, psoriasis and rheumatoid arthritis were underrepresented (0.5% vs 1.9% and 0.3% vs 1%, respectively).¹⁶ The differences in prevalence among different AD types may be explained by genetic variation and different definitions in previous studies. Patients with AD are susceptible to other autoimmune conditions, possibly due to commonly shared abnormal gene expression. Several shared genetic polymorphisms have been demonstrated in multiple ADs, including cytotoxic T-lymphocyte–associated protein 4, protein tyrosine phosphatase nonreceptor type 22, signal transducer and activator of transcription 4, and tumor necrosis factor-induced protein 3.³⁰ Moreover, evidence suggests that both T helper 1 (Th1) and 2 (Th2) inflammatory cytokines participate in the pathogenesis of AA, providing an association between AA and both T cell-mediated (eg, Hashimoto thyroiditis and vitiligo) and antibody-mediated ADs (eg, Graves’ disease and SLE).^27,31

Our study demonstrates the risk factors linked to ADs in AA, including female sex, nail abnormalities, and atopic diseases. ADs have been demonstrated to be more prevalent in women, with approximately 80% of AD patients being females.³² In our study, female sex was also associated with a 2.4-fold increase in the risk of developing additional ADs, consistent with a previous study comparing characteristics between male and female AA patients.³³ Hormonal changes in females during puberty may play an important role in AD-associated gender disparity. After the onset of puberty, there is an increase in the incidence of ADs.³⁴ Elevated estrogen levels were postulated to enhance the humoral immune system, leading to an increased possibility of AD occurrence in female AA patients compared to males.^35–37

Nail changes, often associated with AA, were reported in 10–66% of patients.³⁸ Nail pitting was the most common, followed by trachyonychia.⁸ These were also observed in patients with other ADs, including AITD, psoriasis, and vitiligo.³⁹ While the pathophysiology of these changes is not clearly understood, inflammatory cells targeting the nail may cause abnormal keratinization of the matrix, leading to nail plate changes. Abnormal nail findings in AA correlate with disease severity and poor prognosis.^40–43 Our further exploration revealed that AA patients with nail changes were at increased risks of other ADs. We hypothesize that nail abnormalities indicate increased immunogenicity in areas other than hair follicles and may help determine individuals with increased susceptibility for developing multiple ADs.

Several studies have reported an association between AA and atopic diseases, with variable prevalence rates (10–60%).^{9,19,27,44–47} AA responds poorly to treatment in the presence of atopy.⁴⁰ The prevalence of atopic diseases in our study was 23.1%, comparable with the result of a previous report (24.9%).¹⁶ Furthermore, atopic diseases were identified as a significant predictor of comorbid ADs, corresponding with a previous large-scale case–control study demonstrating the relationship between AA, ADs, and atopic diseases.¹⁹ Mechanisms underlying this association remain inconclusive. Shared genetics are theorized to play a role in their association since filaggrin gene mutations were found to be predictors of more severe AA in patients with comorbid atopic diseases.^48,49 However, AA is considered a predominantly Th1-mediated AD, caused by CD4+ and CD8+ T cells involving anagen hair follicles.^10,50,51 The significance of both Th1 and Th2 cytokine pathways in AA has been demonstrated in animal models.⁵² Since atopic diseases provide predominant Th2-type inflammation,^53,54 similar Th2 response patterns in AA and atopic diseases may account for their association.⁴⁶ The complex interplay among cytokines and immune cells in AA individuals with atopic diseases may cause aberrant interactions between patients’ immune and organ systems, resulting in an increased risk of additional ADs.

Our study further explored specific risk factors for each coexisting AD in AA patients using a multinomial logistic regression model; only AITD, vitiligo, and SLE were eligible for analysis due to the sufficient sample size. Several studies have documented the association between AITD and severe forms of AA,^{27,29,55–58} and a large cross-sectional study has reported an age at AA onset of >60 years to be a predictor for AITD.¹⁶ Our study suggests otherwise; nail changes were a risk factor for comorbid AITD in our cohort. However, AT/AU subtype and age at onset >60 years showed a borderline association, supporting previous findings. Currently, there is no emerging evidence regarding the causal relationship or interaction between AA and AITD.

Atopic diseases were found to be a specific risk factor for concurrent vitiligo in our AA patients. This result is supported by a meta-analysis and two large-scale studies that identified the link between atopic diseases and vitiligo.^48,59,60 While an age at AA onset of >20 years revealed a marked elevation in the risk of vitiligo in a previous study, our data failed to demonstrate this association.¹⁶ The mechanisms of the co-occurrence of atopic diseases, vitiligo, and AA remain unknown. The autoimmune etiology of vitiligo and its association with AA support the possibility that atopic diseases may be apparent in AA patients with vitiligo, while the underlying mechanisms of their association may be explained by the activation of thymic stromal lymphopoietin and Th17.^48,61–65 Their association may also have therapeutic implications, as the conditions have demonstrated therapeutic responses to Janus kinase inhibitors.⁶⁶

Several observational studies have described the coexistence of AA and SLE; however, information on predictors of their association remains scarce and inconclusive.^16,56,67 A population-based study identified female sex, age at onset >40 years, and Jewish ancestry as risk factors for concurrent SLE and AA;⁶⁸ on the contrary, another large-scale study indicated younger age at onset to be a predictor.¹⁶ Our study found female sex and a positive family history of AD to be predictors for SLE comorbidity in AA patients, consistent with female predominance, which exhibits clustering within families for a wide range of reported ADs.^69–71 AA’s clinical presentation may mimic patchy, lupus-specific, nonscarring alopecia in SLE, leading to misdiagnoses. Trichoscopic findings of hair shaft hypopigmentation and prominent and thick arborizing blood vessels could provide a diagnostic distinction of nonscarring alopecia in SLE and AA;⁷² however, histopathological and immunohistochemical studies should be performed in uncertain cases.^73–75 The mechanism underlying the association between AA and SLE has not been fully elucidated. Both diseases may share a pathogenic role for CD4+ T cells (both Th1 and Th2), producing autoantibodies for several antigens, thus resulting in the subsequent induction of autoimmunity.^{16,19,50,76–81}

Our study had several limitations. First, owing to its retrospective design, some data were unavailable. Second, it was performed at a single tertiary referral center, which may have attracted more complex patients and, thus, higher AD cases. Third, the population included in this study was homogeneous, which may limit the generalizability of the results. Fourth, all family history data were obtained from patients’ statements; thus, the prevalence of family history may have been underestimated. Fifth, detection bias may have occurred due to the different follow-up durations among AA participants, contributing to the underestimation of AD prevalence. Finally, the study methods precluded analysis of the temporal relationship between AA and ADs and had limited power due to multiple comparisons. To confirm our results and better identify associations between AA and AD comorbidities, further prospective, longitudinal, multicenter studies with a larger sample size are required.

Conclusion

Our study revealed that female AA patients with nail abnormalities and atopic diseases were more likely to have additional ADs. Although it is unclear whether ADs in AA patients could be comorbidities with their own specific dysreactivity of the immune system or AA-dependent diseases, physicians should perform a thorough review of medical history, organ system symptoms, physical examination, and appropriate screenings for ADs in patients with AA. Despite the lack of study power due to the small number of subjects in each AD subgroup, targeted reviews of specific risks for comorbid AITD (ie, nail abnormalities, age at AA onset >60 years, and AT/AU subtype), vitiligo (ie, atopic diseases), and SLE (ie, female and family history of AD) in AA patients may be important to assess the risk of developing additional ADs.

Funding Statement

The authors received no financial support for this research.

Data Sharing Statement

All datasets are available from the corresponding author on reasonable request.

Ethics Approval and Consent to Participate

This single-center case–control study was conducted in accordance with the principles of the Declaration of Helsinki. The protocol was approved by the Mahidol University Institutional Review Board for Ethics in Human Research (MURA2019/250). Informed consent was waived, and data anonymization was performed before analysis.

Disclosure

The authors have no conflicts of interest to declare.