Literature DB >> 28966512

Factors Associated with Severity of Alopecia Areata.

Hye Rin You1, Seong-Jin Kim1.   

Abstract

BACKGROUND: Alopecia areata is the most common cause of localized, nonscarring alopecia. Unfortunately, there are few data regarding clinical features and epidemiology of alopecia areata in Korean patients, and its clinical course and treatment response rates are unpredictable.
OBJECTIVE: This study strived to investigate the differences in clinical profiles according to disease severity and to determine risk factors for severe alopecia areata.
METHODS: A total of 1,137 patients from 2006 to 2015 were analyzed retrospectively. Patients were subdivided into two groups: mild-to-moderate and severe alopecia areata. The groups were compared on the basis of age of onset, duration, sex, family history, comorbid disorders including autoimmune diseases, nail changes, and laboratory test results.
RESULTS: Eight hundred eighty-three patients were in the mild-to-moderate alopecia areata group and 254 patients were in the severe group. Average onset age was 30.77±17.66 years and 30.60±16.75 years in the mild-to-moderate and severe groups, respectively. Disease duration was statistically longer in the severe group. Male sex, nail changes, and thyroid diseases were more common in the severe group. Hypertension, diabetes mellitus, dyslipidemia, atopic dermatitis, and family history did not differ between groups. Of the serologic values, only alkaline phosphatase was considerably differing between groups. Male sex, presence of nail changes, and disease duration greater than one year were identified as significant risk factors for severe alopecia areata.
CONCLUSION: This is the largest case analysis in Korean patients with alopecia areata. Clinical profiles stratified by disease severity warrant further study.

Entities:  

Keywords:  Alopecia; Alopecia areata; Alopecia universalis; Epidemiology; Risk factors

Year:  2017        PMID: 28966512      PMCID: PMC5597649          DOI: 10.5021/ad.2017.29.5.565

Source DB:  PubMed          Journal:  Ann Dermatol        ISSN: 1013-9087            Impact factor:   1.444


INTRODUCTION

Alopecia areata (AA) is a common disease that directly relates to nonscarring hair loss1. The typical clinical aspects are variable sized, well-circumscribed, oval or round bald patches. In most cases, spontaneous regrowth of hair occurs and the treatment response is good. However, some patients show chronicity and rapid progression, resulting in the entire loss of scalp and body hair2. As the course of the disease is variable, it is very difficult to predict the prognosis and treatment response on clinical examination. The exact pathogenesis remains unclear, but it is assumed that AA is an organ-specific autoimmune disease, mediated by autoreactive CD8+ T cells, which affects hair follicles13. Consequently, atopic dermatitis, autoimmune diseases including vitiligo, and thyroid disease are associated with AA45. Reports on serologic findings are diverse, but patients with AA tend to show autoantibodies at a higher rate than the general population6. There are few reports concerning the clinical characteristics, epidemiology, and prognosis of Korean patients with AA. Therefore, we investigated the differences in clinical profiles based on disease severity that have relevance to prognosis and risk for severe AA.

MATERIALS AND METHODS

Patient population

All subjects with AA who were examined at Chonnam National University Hospital (Gwangju, Korea) from January 2006 to December 2015 were enrolled in this study. The study protocol was approved by the institutional review board of Chonnam National University Hospital (IRB no. CNUH 2017-259).

Methods

This study retrospectively analyzed the medical records and clinical photographs. Patients were divided into two groups based on the extent of AA at their first medical examination: less than 50% involvement of the entire scalp was considered mild-to-moderate AA, and greater than 50% involvement of the entire scalp, alopecia totalis, and alopecia universalis were considered severe AA. Patients with acute diffuse and total alopecia or rapidly progressive AA were identified based on clinical history and disease progression, and were excluded from the analysis. Demographic data on age, sex, duration, age of onset, family history, nail changes, and associated diagnoses including autoimmune diseases were obtained for all patients. We investigated the presence of thyroid diseases including thyroid cancer, Grave's disease, Hashimoto thyroiditis, simple goiter, and autoimmune diseases including autoimmune thyroid disease (Grave's disease, Hashimoto thyroiditis), systemic lupus erythematosus, vitiligo, rheumatoid arthritis, adult-onset Still's disease, ulcerative colitis, Sjogren's syndrome, and others. We also compared and analyzed hematologic laboratory results, serum iron concentration, the presence of autoimmune antibodies, and thyroid function tests.

Statistical analysis

The results are expressed as mean±standard deviation. Pearson's chi-square test and Fisher's exact test were used to compare the sex ratio, nail changes, family history, and comorbidities, including autoimmune diseases, between the mild-to-moderate and severe AA groups. Comparison of age of onset, disease duration, and hematologic results between the two groups were performed using the independent t-test, and risk factors for severe AA were determined by logistic regression analysis. The analysis was performed using PASW Statistics ver. 18.0 (IBM Co., Armonk, NY, USA). A p-value <0.05 was considered statistically significant.

RESULTS

General characteristics

A total of 1,137 individuals with AA were included: 583 male and 554 female. Average age was 32.63±17.40 years and average duration was 19.86±43.83 months. Mild-to-moderate AA was present in 883 patients (77.7%) and severe AA in 254 patients (22.3%) (Table 1). The average of onset was 30.77±17.66 years and 30.60±16.75 years in the mild-to-moderate and severe groups, respectively, and average disease duration was 15.89±34.70 months and 33.68±64.66 months, respectively. Duration was longer in the severe AA group than in the mild-to-moderate AA group (p<0.001). The male-to-female ratio was 429:454 in the mild-to-moderate group and 154:100 in the severe group; thus male patients had more severe disease (p=0.001). Family history and early onset (AA before 13 years old) were not significantly different between the two groups, but nail changes were more common in the severe group (p<0.001, Table 2).
Table 1

Patient demographics and clinical data of the whole cohort (n=1,137)

VariableValue
Number of patients (male:female)583:554
Mean age (yr)32.63±17.40
Duration (mo)19.86±43.83
Onset age (yr)30.73±17.45
Family history166 (14.6)
Nail change59 (5.2)
Severity*
 Mild-to-moderate883 (77.7)
 Severe254 (22.3)
Comorbid condition
 Hypertension63 (5.5)
 Diabetes mellitus28 (2.5)
 Dyslipidemia19 (1.7)
 Atopic dermatitis60 (5.3)
 Vitiligo10 (0.9)
 Thyroid disease84 (7.4)
 Autoimmune disease109 (9.6)

Values are presented as number only, mean±standard deviation, or number (%). *The patients with alopecia areata (AA) were subdivided into two groups according to scalp involvement; Mild-to-moderate AA: <50% of extent, severe AA: ≥50% of extent.

Table 2

Characteristics of patients with AA according to severity

CharacteristicMild-to-moderate AA (n=883)Severe AA (n=254)p-value
Sex (male:female)429:454154:1000.001*
Mean age (yr)32.31±17.6533.73±16.500.242
Duration (mo)15.89±34.7033.68±64.66<0.001*,†
 ≥12242 (27.4)125 (49.2)<0.001*
 <12641 (72.6)129 (50.8)
Onset age (yr) of the patients30.77±17.6630.60±16.750.893
Early onset
 Onset before 13 years old188 (21.3)48 (18.9)0.401
Family history130 (14.7)36 (14.2)0.827
Nail change28 (3.2)31 (12.2)<0.001*
Comorbid condition
 Hypertension49 (5.5)14 (5.5)0.982
 Diabetes mellitus21 (2.4)7 (2.8)0.732
 Dyslipidemia12 (1.4)7 (2.8)0.160
 Atopic dermatitis46 (5.2)14 (5.5)0.849
 Vitiligo10 (1.1)0 (0)0.129
 Thyroid disease54 (6.1)30 (11.8)0.002*
 Autoimmune disease76 (8.6)33 (13.0)0.036*

Values are presented as number only, mean±standard deviation, or number (%). AA: alopecia areata. *p-value <0.05 was considered statistically significant. †Independent samples t-test was used. ‡Chi-square test or Fishers exact test was used.

Comorbidities

There was no significant difference in the frequencies of hypertension (p=0.982), diabetes mellitus (p=0.732), dyslipidemia (p=0.160), atopic dermatitis (p=0.849), or vitiligo (p=0.129) between the two groups. Thyrid diseases (p=0.002) and autoimmune diseases (p=0.036) were more common in the severe group.

Laboratory results

Of the 1,137 total patients, 853 patients had laboratory blood test results: 639 in the mild-to-moderate group and 214 in the severe group. The level of alkaline phosphatase (ALP) was lower in the severe group (p=0.028). All other results, including serum iron and thyroid function, were not significantly different between groups (Table 3). Antinuclear antibody (ANA) was positive in 16.7% of the mild-to-moderate group and 11.7% of the severe group. Antithyroglobulin antibody was positive in 15.7% and 15.2% of the mild-to-moderate and severe groups, respectively (Table 3).
Table 3

Laboratory findings and autoantibodies in patients with AA

CharacteristicMild-to-moderate AA (n=639)Severe AA (n=214)p-value
Hgb (12~18 g/dl)14.09±4.2814.35±1.400.380
WBC (4,800~10,800/mm3)7,145.92±2,219.857,308.88±2,227.940.354
Plt (130 K~450 K/mm3)262.88 K±85.38260.78 K±66.250.743
ALP (35~129 U/L)107.51±89.8393.37±64.520.028*
AST (8~20 U/L)24.82±13.3823.39±9.430.169
ALT (10~37 U/L)23.23±18.5221.89±13.400.280
BUN (8~23 mg/dl)13.91±7.7413.48±3.490.500
Cr (0.5~1.3 mg/dl)0.79±0.940.77±0.220.813
Serum iron test
 Serum iron (60~170 μg/dl)94.23±41.38101.16±42.510.066
 TIBC (240~450 μg/dl)328.59±51.28322.31±49.800.181
 Ferritin (4.63~274.60 ng/ml)69.57±63.3578.83±72.730.138
 Transferrin (200~360 mg/dl)262.78±49.26252.81±47.780.082
Thyroid function test
 T3 (80~200 ng/dl)122.77±45.86122.53±32.000.953
 Free T4 (0.7~2.0 ng/dl)1.30±0.341.32±0.360.483
 TSH (0.4~4.5 uIU/ml)2.28±2.572.51±4.850.476
The prescence of autoantibody
 ANA (present/absent)80/480 (16.7)20/171 (11.7)0.122
 Antithyroglobulin antibody (present/absent)34/216 (15.7)14/92 (15.2)0.908

Values are presented as mean±standard deviation or number (%). AA: alopecia areata, Hgb: hemoglobin, WBC: white blood cells, Plt: platelets, ALP: alkaline phosphatase, AST: aspartate transminase, ALT: alanine transaminase, BUN: blood urea nitrogen, Cr: creatinine, TIBC: total iron binding capacity, TSH: thyroid-stimulating hormone, ANA: antinuclear antibody. *p-value <0.05 was considered statistically significant. †Independent samples t-test was used. ‡Chi-square test or Fishers exact test was used.

Analysis of risk factors

To determine the risk factors of severe AA, the statistically significant factors of severe AA were analyzed by logistic regression analysis (Table 4). In multivariable logistic regression analysis, male sex (p<0.001; odds ratio [OR], 1.726; 95% confidence interval [CI], 1.282~2.325), presence of nail changes (p<0.001; OR, 4.104; 95% CI, 2.357~7.146), and disease duration greater than 1 year (p<0.001; OR, 2.405; 95% CI, 1.791~3.229) were associated with an increased risk of severe AA (Table 4).
Table 4

Risk factors for severe alopecia areata

CharacteristicMultivariable analysisMultivariable analysis
OR95% CIp-valueOR95% CIp-value
Sex (male/female)1.6371.232~2.175<0.001*1.7261.282~2.325<0.001*
Nail change (present/absent)4.2452.494~7.225<0.001*4.1042.357~7.146<0.001*
Thyroid disease (present/absent)2.0561.285~3.2900.003*3.5010.943~13.0010.061
Autoimmune disease (present/absent)1.5861.026~2.4490.038*0.6040.176~2.0070.423
Duration (≥1 year/<1 year)2.5671.926~3.420<0.001*2.4051.791~3.229<0.001*

OR: odds ratio, 95% CI: 95% confidence interval. *p-value <0.05 was considered statistically significant.

DISCUSSION

AA presents with variable-sized, demarcated, oval or round patches of hair loss; the estimated lifetime risk among the general population is 1.7%7. Disease severity can be classified as follows: S1 (<25% scalp involvement), S2 (26%~50%), S3 (51%~75%), S4 (76%~99%), and S5 (100%, alopecia totalis) based on guidelines of the American National Alopecia Areata Foundation8. However, owing to the variable size of lesions and the waxing and waning property of alopecia patches, several publications concerning treatment divide AA patients into two groups: mild-to-moderate (less than 50% scalp involvement; localized) and severe (greater than 50% scalp involvement; extensive). Severity of AA at the time of treatment initiation is known to be the most important prognostic factor, as reported by several other authors910. Hence, we compared the clinical profiles of mild-to-moderate and severe AA patient groups at first medical examination to investigate risk factors associated with severe AA. Mean age of onset was similar between groups, but male sex was more common in the severe group (p=0.001). Studies in India11 and China12 found that males had more severe AA, while female patients were more likely to have severe disease in a report from Singapore13. The association of sex with AA severity is unclear, and additional study is needed. According to previous reports, prognosis and treatment response is poor in patients with severe AA (particularly in cases of alopecia totalis and alopecia universalis)91415, nail changes16, a history of atopic dermatitis or other autoimmune disease16, and longer period from symptom development to start of treatment initiation414. Our data shows that family history and early age of onset was not significantly different between the two groups. On the other hand, longer disease duration (p<0.001) and nail changes (p<0.001) were more common in severe AA. Early onset AA is alopecia that develops before adolescence. Disease severity and symptom development before 13 years of age had no significant association in our study (p=0.401). p-values for the association of AA severity and age of onset were 0.305 before 10 years of age, 0.055 before 9 years, 0.055 before 8 years, 0.099 before 7 years, and 0.256 before 6 years. These results are quite different from those reported by previous studies1617. Nail changes in AA can present as trachonychia, pitted nail, or longitudinal ridges; the frequency of nail changes increases with disease severity111819. We did not subdivide patients based on nail changes, but nail changes were more frequent in the severe AA group (p<0.001). This is thought to be due to the action of inflammatory cells targeting hair follicles acting on nails, as their growth structure resemble that of hair follicles20. Disease duration was 15.89±34.70 months and 33.68±64.66 months in the mild-to-moderate and severe groups, respectively; thus the severe group showed disease duration twice that of the mild-to-moderate group (p<0.001). The mild-to-moderate and severe AA groups had disease duration of greater than 1 year in 27.4% and 49.2% of patients (p<0.001). This finding is consistent with previous reports that prognosis is improved with early treatment initiation1421. The associations between AA and atopic dermatitis, vitiligo, autoimmune diseases, and thyroid diseases are well known45. However, we found no association between severity and atopic dermatitis (p=0.849). In the present investigation, 9.6% of patients had autoimmune disease. Thyroid diseases (p=0.002) were associated with severe AA, but vitiligo (p=0.129) was not. Additionally, autoimmune diseases were more common in the severe group (p=0.036). Based on these results, despite the unclear etiology of AA, an immune pathogenesis seems to play an important role222324. Normal anagen hair is an immune privileged site. However, the loss of immune privilege allows for the progression of the inflammatory process, with infiltration of CD4+ and CD8+ T cells in AA24. Although they were in normal range, ALP was significantly lower in the severe group (p=0.028). ALP is a zinc-metallo enzyme that is highly expressed in actively proliferating cells or cells with a high metabolic rate25. By immunohistochemical staining, ALP activity is prominent in normal pilosebaceous units, and there are several reports of decreased ALP activities in hair follicles of patients with AA and mouse models of AA252627. ALP concentration in hair follicles can correlate with serum levels, and it is speculated that decreased serum ALP is due to diminished functioning follicles in chronic, severe AA. On the other hand, iron levels and thyroid function test were not significantly different between groups. Although there is controversy concerning the association of iron deficiency and AA28, our result is in agreement with previous research showing no correlation between iron deficiency and disease severity282930. In our study, ANA was positive in 16.7% of patients in the mild-to-moderate group and 11.7% of patients in the severe group. Antithyroglobulin antibody was positive in 15.7% and 15.2%, respectively, with no statistically significant difference. In logistic regression analysis, risk factors associated with increased disease severity were male sex (p<0.001), nail changes (p<0.001), and disease duration greater than 1 year (p<0.001). These results are similar to previous reports concerning AA prognosis. However, additional nationwide, ethnic studies should be performed in order to further investigate the correlation between sex and disease severity and to determine differences in other countries. This study is limitfved because it is a retrospective, single-center study based on review of patients' medical record. Thus, the data is subject to recall bias and selection bias. Since blood tests were not performed on all patients, it is difficult to generalize and interpret the data carefully. In addition, we only evaluated for the presence or absence of thyroid disease, and did not classify the diagnoses in details. Since we evaluated for the presence of ANA and antithyroglobulin antibody only, there is a possibility that the combined effects of multiple different autoimmune antibodies are underestimated. Additionally, we compared only the clinical profiles between two severity groups but we did not analyze the effect of different treatment modalities or prognostic factors. Despite these limitations, this is the study on the largest scale of Korean patients with AA thus far. In conclusion, this study analyzed clinical profiles of patients with AA according to severity and evaluated risk factors associated with severe AA. We found that male sex, nail changes, and duration greater than 1 year are risk factors for severe disease. Other demographic and clinical parameters, such as a history of atopic dermatitis, vitiligo, and early AA onset were not associated with disease severity. Serum ALP level was significantly lower in the severe AA group, and represents a potentially useful predictor of prognosis and treatment response. However, further long-term and prospective studies are needed to clarify these issues.
  29 in total

1.  Alopecia areata investigational assessment guidelines. National Alopecia Areata Foundation.

Authors:  E Olsen; M Hordinsky; S McDonald-Hull; V Price; J Roberts; J Shapiro; K Stenn
Journal:  J Am Acad Dermatol       Date:  1999-02       Impact factor: 11.527

2.  Skin histoculture assay for studying the hair cycle.

Authors:  L Li; R Paus; A Slominski; R M Hoffman
Journal:  In Vitro Cell Dev Biol       Date:  1992 Nov-Dec

Review 3.  Lymphocytes, neuropeptides, and genes involved in alopecia areata.

Authors:  Amos Gilhar; Ralf Paus; Richard S Kalish
Journal:  J Clin Invest       Date:  2007-08       Impact factor: 14.808

4.  Genomic structure and comparison of mouse tissue-specific alkaline phosphatase genes.

Authors:  T Manes; K Glade; C A Ziomek; J L Millán
Journal:  Genomics       Date:  1990-11       Impact factor: 5.736

5.  Comorbidity profiles among patients with alopecia areata: the importance of onset age, a nationwide population-based study.

Authors:  Szu-Ying Chu; Yi-Ju Chen; Wei-Cheng Tseng; Ming-Wei Lin; Tzeng-Ji Chen; Chian-Yaw Hwang; Chih-Chiang Chen; Ding-Dar Lee; Yun-Ting Chang; Wen-Jen Wang; Han-Nan Liu
Journal:  J Am Acad Dermatol       Date:  2011-05-25       Impact factor: 11.527

6.  The epidemiology of childhood alopecia areata in China: a study of 226 patients.

Authors:  Feng-Li Xiao; Sen Yang; Jiang-Bo Liu; Ping-Ping He; Jie Yang; Yong Cui; Kai-Lin Yan; Min Gao; Yan-Hua Liang; Xue-Jun Zhang
Journal:  Pediatr Dermatol       Date:  2006 Jan-Feb       Impact factor: 1.588

7.  Profile of alopecia areata in Northern India.

Authors:  V K Sharma; G Dawn; B Kumar
Journal:  Int J Dermatol       Date:  1996-01       Impact factor: 2.736

8.  [Intravenous pulse methylprednisolone therapy for severe alopecia areata: an open study of 66 patients].

Authors:  P Assouly; P Reygagne; C Jouanique; B Matard; E Marechal; P Reynert; H Bachelez; L Dubertret
Journal:  Ann Dermatol Venereol       Date:  2003-03       Impact factor: 0.777

9.  Incidence of alopecia areata in Olmsted County, Minnesota, 1975 through 1989.

Authors:  K H Safavi; S A Muller; V J Suman; A N Moshell; L J Melton
Journal:  Mayo Clin Proc       Date:  1995-07       Impact factor: 7.616

10.  Two alkaline phosphatase genes are expressed during early development in the mouse embryo.

Authors:  A C Hahnel; D A Rappolee; J L Millan; T Manes; C A Ziomek; N G Theodosiou; Z Werb; R A Pedersen; G A Schultz
Journal:  Development       Date:  1990-10       Impact factor: 6.868

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  14 in total

Review 1.  Thyroid diseases and skin autoimmunity.

Authors:  Enke Baldini; Teresa Odorisio; Chiara Tuccilli; Severino Persechino; Salvatore Sorrenti; Antonio Catania; Daniele Pironi; Giovanni Carbotta; Laura Giacomelli; Stefano Arcieri; Massimo Vergine; Massimo Monti; Salvatore Ulisse
Journal:  Rev Endocr Metab Disord       Date:  2018-12       Impact factor: 6.514

2.  Topographic Phenotypes of Alopecia Areata and Development of a Prognostic Prediction Model and Grading System: A Cluster Analysis.

Authors:  Solam Lee; Beom Jun Kim; Chung-Hyeok Lee; Won-Soo Lee
Journal:  JAMA Dermatol       Date:  2019-05-01       Impact factor: 10.282

3.  Utility of Dermoscopic Evaluation in Predicting Clinical Response to Diphencyprone in a Cohort of Patients with Alopecia Areata.

Authors:  Robabeh Abedini; Elham Alipour; Narges Ghandi; Maryam Nasimi
Journal:  Int J Trichology       Date:  2020-08-14

4.  Analysis of Personality Trait in Patients with Alopecia Areata.

Authors:  Jeong-Min Kim; Hoon-Soo Kim; Hyun-Chang Ko; Byung-Soo Kim; Moon-Bum Kim
Journal:  Ann Dermatol       Date:  2017-10-30       Impact factor: 1.444

5.  Clinico-Dermoscopic Pattern of Beard Alopecia Areata: A Cross-Sectional Study.

Authors:  Delanthimar Joshika Bhandary; Banavasi Shanmukha Girisha; Basanna Nagargund Mahadevappa
Journal:  Indian Dermatol Online J       Date:  2019-11-01

6.  Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue.

Authors:  Sunyong Seo; Jinho Park
Journal:  Comput Math Methods Med       Date:  2020-09-25       Impact factor: 2.238

7.  Prevalence of alopecia and its contributing factors among primary healthcare attendees in the Jazan region, Saudi Arabia.

Authors:  Abeer R Alomaish; Ibrahim M Gosadi; Fatimah H Dallak; Amjad A Durayb; Ali H Dallak; Jubran A Hakami; Ayman M Hakami; Arar E Alshamakhy; Nouf T Mleeh
Journal:  J Family Med Prim Care       Date:  2021-11-05

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

Authors:  Kumutnart Chanprapaph; Thipprapai Mahasaksiri; Chaninan Kositkuljorn; Kanchana Leerunyakul; Poonkiat Suchonwanit
Journal:  J Inflamm Res       Date:  2021-09-22

9.  Alopecia Areata Universalis in the Onset of Autoimmune Polyendocrine Syndrome Type III C.

Authors:  Nicoleta Neagu; Silviu Horia Morariu; Alina Grama
Journal:  Int J Trichology       Date:  2022-04-04

10.  The Alopecia Areata Investigator Global Assessment scale: a measure for evaluating clinically meaningful success in clinical trials.

Authors:  K W Wyrwich; H Kitchen; S Knight; N V J Aldhouse; J Macey; F P Nunes; Y Dutronc; N Mesinkovska; J M Ko; B A King
Journal:  Br J Dermatol       Date:  2020-04-03       Impact factor: 9.302

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