Comorbid Conditions Associated with Alopecia Areata: A Systematic Review and Meta-analysis

BACKGROUND

Alopecia areata (AA) is a complex autoimmune condition resulting in nonscarring hair loss. In recent years, many studies have provided new evidence on comorbid diseases present in patients with AA. However, some studies have conflicting results, and analyses conducting a comprehensive approach are lacking.

OBJECTIVE

The aim of our study was to provide an updated systematic review and meta-analysis of medical comorbidities associated with AA.

METHODS

We searched PubMed, Embase, and Web of Science for case-control, cross-sectional, and cohort studies investigating medical comorbidities in AA published from inception through 1 February 2023.

RESULTS

We screened 3428 abstracts and titles and reviewed 345 full text articles for eligibility. Ultimately, 102 studies were analyzed, comprising 680,823 patients with AA and 72,011,041 healthy controls. Almost all included studies (100 of 102 studies) were of satisfactory to high quality (Newcastle-Ottawa scale score ≥ 4). Among patients with AA, comorbidities with the highest odds ratios (OR) compared with healthy controls and data available from more than one study included vitamin D deficiency (OR 10.13, 95% CI 4.24-24.20), systemic lupus erythematous (OR 5.53, 95% CI 3.31-9.23), vitiligo (OR 5.30, 95% CI 1.86-15.10), metabolic syndrome (OR 5.03, 95% CI 4.18-6.06), and Hashimoto's thyroiditis (OR 4.31, 95% CI 2.51-7.40). AA may be a protective factor for certain disorders, for which the AA group had lower odds compared with healthy controls, such as irritable bowel syndrome (OR 0.38, 95% CI 0.14-0.99) and colorectal cancer (OR 0.61, 95% CI 0.42-0.89).

CONCLUSION

These findings corroborate and contextualize the risks across comorbidities for patients with AA. Further work should be done to identify the underlying pathophysiology and understand appropriate screening criteria.

Evaluation of Sleep Disturbance in Alopecia Areata through Questionnaire: Pittsburgh Sleep Quality Index as a Reasonable Tool

BACKGROUND

Alopecia areata (AA) is common non-scarring hair loss disease. Sleep distrubance has been regarded as a triggering or aggravating factor for AA. However, objective evaluation of sleep disturbance and its clinical effect on AA has not been clearly demonstrated.

OBJECTIVE

This study investigated objective sleep evaluation tool for AA patients and their clinical correlation.

METHODS

Patients presenting with new-onset AA or recurrences of pre-existing AA were included, and those who reported sleep disturbance in the preliminary survey were designated as the sleep disturbance group (SD group). Sleep quality was investigated for them using three self-administered questionnaires: Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Epworth Sleep Scale (ESS). Demographic information and clinical features of AA were analyzed according to sleep quality.

RESULTS

A total of 400 participants were enrolled, and 53 were categorized into the SD group. The incidence of stressful events was significantly higher in the SD group (54.7%) than in the non-SD group (25.1%) (p<0.001). Based on the PSQI, 77.3% of participants were objective poor sleepers (score of 5 or more), and they showed a significantly higher incidence of stressful events compared to good sleepers (p=0.019). The proportion of poor sleepers was significantly lower in patients with mild AA (S1) than in those with moderate to severe AA (S2~S5) (p=0.045).

CONCLUSION

This study demonstrated a positive correlation among stress, SD, and AA. The degree of SD was objectively represented by the PSQI score, showing different scores according to AA severity.

Sleep quality in men with androgenetic alopecia

PURPOSE

Sleep disturbances affect human health and contribute to several comorbidities. In men, androgenetic alopecia (AGA) is a common, non-scarring form of hair loss that affects a patient's self-esteem. There are limited data regarding the association between poor sleep quality and male AGA. We aimed to compare the prevalence of sleep abnormalities between male patients with AGA and controls to identify an association between the two conditions.

METHODS

A case-control study on patients with AGA and age-matched controls was conducted. Participants completed a standardized questionnaire that contained self-evaluated sleep measures, including Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, and STOP-BANG questionnaire. Patients with AGA were classified into mild, moderate, and severe subgroups according to the Hamilton-Norwood classification for stratified analyses. Data between groups and among subgroups were compared.

RESULTS

Of 446 male participants, 223 (50%) were in the AGA group, and the remainder (50%) were in the control group. Multivariable logistic regression analysis revealed that hypertension (odds ratio [OR] = 1.90, 95% confidence interval [CI] = 1.16-3.11, p = 0.011) and STOP-BANG score ≥ 5 (OR = 2.05, 95%CI = 1.15-3.66, p = 0.015) were associated with AGA. For subgroup analyses, ordinal logistic regression model showed a significant association between severe AGA and three sleep profiles, namely total sleep time ≤ 6 h (OR = 2.16, 95%CI = 1.02-4.57, p = 0.044), PSQI > 5 (OR = 3.72, 95%CI = 1.42-9.72, p = 0.008), and STOP-BANG score ≥ 5 (OR = 3.01, 95%CI = 1.11-8.13, p = 0.030).

CONCLUSION

Our findings revealed an association between sleep disturbances and AGA, which may help guide appropriate management in these patients.

The burden of alopecia areata: A scoping review focusing on quality of life, mental health and work productivity

Alopecia areata (AA) is a common inflammatory autoimmune disease of the hair which can have a significant negative impact on quality of life (QoL), mental health and productivity. The aim of this scoping review is to elucidate the burden of AA focusing on these three realms. Inclusion criteria included all original manuscripts with no restriction on study type or statistical method written in English (or having an English abstract). For QoL 40 articles were included, 85 for psychiatric comorbidities, and 9 for work/school absenteeism/presenteeism mostly consisting of cross-sectional and observational cohort studies. QoL impairment was detected in over 75% of patients and up to one-third reported extremely severe QoL impairments. Specific QoL dimensions with the greatest impact were embarrassment, social functioning, as well as shopping and/or housework. Cross-sectional studies assessing the psychological burden of adult patients with AA found that the presence of signs of anxiety and/or depression ranged from 30% to 68% and affected all age groups. Rates of work absenteeism and unemployment were significantly higher in AA patients compared to healthy controls. Up to 62% reported making major life decisions including relationships, education and career based on their AA. Additionally, the extensive camouflage techniques and time lost from work led to a strong financial burden for patients and the numerous physician visits added to the healthcare costs. The overall impact of AA stretches much further than simply being an aesthetic concern and can negatively impact every part of an individual's life. An individualized approach and effective treatments will help reduce the psychosocial consequences and distress and return patients to their normal state of health.

Two-way association between alopecia areata and sleep disorders: A systematic review of observational studies

Background

Alopecia Areata (AA) is found to be the most prevalent autoimmune disorder amongst the general population. It was observed that AA patients are at a significantly higher risk of developing obstructive sleep apnea and non-apneic insomnia than patients without AA. On the contrary, patients with identified sleep disorders were found to be more prone to developing AA as compared to the patients without sleep disorders. This study, therefore, validated the hypothesis of a bidirectional association between AA and sleep disorders.

Aims

In this systematic review, our primary aim is to assess the prevalence of sleep disorders in Alopecia Areata patients while also assessing the inverse relationship between the two disorders.

Methods

A literature search of MEDLINE, Google Scholar and Cochrane CENTRAL was performed from their inception to April 2022. Articles were selected for inclusion if they met the following eligibility criteria: (a) Studies enrolling patients having alopecia areata to assess the sleep quality. (b) Studies assessing the risks of alopecia areata in individuals with sleep disorder (c) Studies evaluating the bidirectional association between alopecia areata and sleep quality. Case reports, commentaries, and editorials were excluded. The outcomes of recruited studies were qualitatively synthesised and study findings are summarized in the results section and tabulated in summary tables.

Results

Our search on electronic databases yielded 1562 articles. After abstract screening and full text review, 5 cross sectional and 3 cohort studies are included in this systematic review. Cases with PSQI scores higher than 5 and 6 were found to be in greater numbers amongst the AA patient population when compared to the control population (p < 0.001). Moreover, studies showed that patients with sleep disorders were greatly predisposed to develop subsequent AA as compared to patients without sleep disorders (aHR 4.70; 95% CI 3.99-5.54) (P < 0.0001).

Conclusion

The findings from our results display a significant bi-directional cause-effect relation between AA and sleep disorders. However, more large-scale observational studies on this subject are required to further validate our findings.

How Our Microbiome Influences the Pathogenesis of Alopecia Areata

Alopecia areata is a multifactorial autoimmune-based disease with a complex pathogenesis. As in all autoimmune diseases, genetic predisposition is key. The collapse of the immune privilege of the hair follicle leading to scalp loss is a major pathogenic event in alopecia areata. The microbiota considered a bacterial ecosystem located in a specific area of the human body could somehow influence the pathogenesis of alopecia areata, as it occurs in other autoimmune diseases. Moreover, the Next Generation Sequencing of the 16S rRNA bacterial gene and the metagenomic methodology have provided an excellent characterization of the microbiota. The aim of this narrative review is to examine the published literature on the cutaneous and intestinal microbiota in alopecia areata to be able to establish a pathogenic link. In this review, we summarize the influence of the microbiota on the development of alopecia areata. We first introduce the general pathogenic mechanisms that cause alopecia areata to understand the influence that the microbiota may exert and then we summarize the studies that have been carried out on what type of gut and skin microbiota is found in patients with this disease.

The Impact of Sleep Quality on Mood Status and Quality of Life in Patients with Alopecia Areata: A Comparative Study

Alopecia Areata (AA) is a chronic condition which has been associated with poor quality of life and mood status disturbances. The aim of this study is to compare the sleep quality between AA patients and controls, and to analyze the impact of poor sleep quality on patients with AA regarding mood status disturbances, quality of life and sexuality. A cross-sectional study including patients suffering from mild-to-severe AA and sex- and age-matched healthy controls was performed. Socio-demographic and clinical variables, sleep quality, quality of life, sexual disfunction, anxiety, depression and personality were collected using validated questionnaires. A total of 120 participants (60 patients and 60 controls) were included. Patients with AA showed worse sleep scores than controls (p = 0.003), as well as higher rates of anxiety and depression (p < 0.05). After a multivariate analysis, a worse sleep quality was found to be linked to anxiety, depression, a poorer quality of life and a type D personality score independently of the disease severity. In light of the results, patients with AA have a worse sleep quality than healthy controls. A poor sleep quality is associated with anxiety, depression and a worse quality of life, therefore being a general marker of a poor quality of life. Screening for sleep disturbances in specialized units could be useful to detect patients who could benefit from additional psychological support.

Sleep disturbance in alopecia areata: A cross-sectional study

Background

Alopecia areata (AA) is a nonscarring hair loss with autoimmune pathophysiology, which is associated with psychiatric disorders including anxiety and depression. Sleep disorders are commonly seen with anxiety and depression. Here we evaluate the sleep quality of AA patients.

Methods

This cross-sectional study involved 51 AA patients and 51 age- and sex-matched healthy controls. The sleep quality and day sleepiness were evaluated by the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) questionnaires. The severity of AA was evaluated with the Severity of Alopecia Tool (SALT).

Results

Unlike the ESS score, the mean PSQI score was significantly higher in the AA group compared with the controls (7 ± 4.13 vs. 3.53 ± 1.96, p < 0.001). The number of cases with ESS ≥ 11, indicating the excess daytime sleepiness, was significantly higher in the AA group compared with controls (15 vs. 6, p = 0.02). There was no significant correlation between PSQI score and age, age of onset of the disease, or SALT score (p > 0.05). Anxiety and depression were more common in the AA group versus controls (p = 0.9). PSQI score was higher in AA patients who had anxiety and depression compared with those who did not (9.9 ± 5.28 vs. 4.76 ± 3.08, p = 0.001).

Conclusion

Sleep quality is impaired in AA patients. As expected, sleep would be more disturbed in AA cases with depression or anxiety. Therefore, attention to sleep quality and concomitant psychiatric diseases is essential in AA clinical management.

Lifestyle Factors Involved in the Pathogenesis of Alopecia Areata

Alopecia areata is a representative inflammatory skin disease that is associated with various environmental stimuli. While psychological stress is believed to be a major pathogenetic trigger in alopecia areata, infants and newborns also suffer from the disease, suggesting the possible presence of other environmental factors. Daily lifestyle is well known to be involved in various inflammatory diseases and influences the severity of inflammatory skin diseases. However, only a limited number of studies have summarized these influences on alopecia areata. In this review article, we summarize lifestyle factor-related influences on the pathogenesis of alopecia areata and focus on environmental factors, such as smoking, alcohol consumption, sleep, obesity, fatty acids, and gluten consumption.

Obstructive sleep apnea, low transferrin saturation levels, and male-pattern baldness

BACKGROUND

There are limited data on the association between obstructive sleep apnea (OSA), which is characterized by intermittent hypoxia, and male-pattern baldness (MPB). Low blood iron levels are reportedly associated with hypoxia and hair loss. This study explored a possible link among OSA, iron status, and MPB.

METHODS

Polysomnography (PSG) and hair assessments were conducted in a cross-sectional study including 932 men aged 46-76 years. OSA was defined as an apnea-hypopnea index ≥5 by PSG evaluation and MPB as scales from IV to VII according to the Norwood-Hamilton scale classification. Serum transferrin saturation (TSA) levels were assessed.

RESULTS

A total of 224 men (24%) were identified as MPB cases and 495 men (53%) as having OSA. After considering potential risk factors, OSA and other sleep-related variables were not associated with MPB. In joint analysis of OSA and family history of hair loss, men with these two factors showed a sevenfold higher multivariate odds ratio (95% confidence interval: 3.70, 12.56) for MPB than those without both of them (P < 0.05 for the interaction between OSA and family history of hair loss). TSA levels were significantly associated with MPB and OSA. OSA cases without MPB as well as MPB cases showed lower TSA levels than those with neither OSA nor MPB (P < 0.05).

CONCLUSIONS

These findings suggest that OSA may be a risk factor for MPB in men who have a family history of hair loss and that low serum TSA levels associated with hypoxia may be involved in a pathway linking OSA and MPB.