Publications

Although alopecia areata (AA) has been traditionally classified as a strictly T helper type 1-mediated process, the T helper type 2 (Th2) pathway may contribute to an AA-like phenotype in some individuals. Herein, we describe three clinical cases that support the potential role of Th2 activity through the upregulation of IL-4 and IL-13 in an AA-like phenotype.

There are no tools to evaluate eyebrow involvement in patients with alopecia areata. We developed and assessed the reliability of the Brigham Eyebrow Tool for Alopecia (BETA) as a quantitative evaluation of eyebrow alopecia areata. BETA uses facial landmarks of eyebrow anatomy and is calculated using surface area and density. A total of 50 eyebrow images with varying levels of hair loss were distributed to six board-certified dermatologists at three academic medical centers with standardized instructions and examples. Interrater and intrarater reliability were calculated using intraclass correlation coefficients (ICCs). BETA demonstrated high interrater (ICC = 0.88, confidence interval = 0.83-0.92 right eyebrow scores and ICC = 0.90, confidence interval = 0.85-0.94 left eyebrow scores) and intrarater (ICC = 0.90, confidence interval = 0.85-0.93 right eyebrow scores and ICC = 0.91, confidence interval = 0.87-0.94 left eyebrow scores) reliability. When measured in the same patient with varying degrees of hair loss over time, BETA demonstrated sensitivity to change. BETA is a simple and reliable objective assessment of eyebrow alopecia areata. BETA is easy-to-use and quick to calculate, making it feasible for a variety of clinical and research settings. Although developed for alopecia areata, we hope that BETA will be investigated in other etiologies of eyebrow alopecia to serve as a universal tool for monitoring disease progression, improvement, and response to treatment.

Alopecia areata (AA), an unpredictable, nonscarring hair loss, is commonly perceived as a cosmetic, rather than medical, concern. However, substantial evidence exists describing the negative impact on quality of life, as the disease affects patients personally, socially, financially, and physically. Over time, the cumulative disability may perpetuate poor confidence, social disconnection, negative coping strategies, and failure to achieve a full life potential. Here, we describe the cumulative life course impairment (CLCI) of AA by examining the complex interaction of (1) stigmatization, (2) physical and psychiatric comorbidities, and (3) coping strategies. The model aggregates existing cross-sectional data, which have previously captured disease burden only as snapshots in time. Thus, by examining cumulative effects, the CLCI model serves as a proxy for longitudinal data to better describe life course epidemiology of the disease.

Alopecia encompasses a broad range of hair loss disorders, generally categorized into scarring and non-scarring forms. Depending on the specific pathogenesis of hair loss and geographic location, a number of psychiatric and medical comorbidities, including but not limited to thyroid disease, lupus erythematosus, diabetes mellitus, atopic dermatitis, sinusitis, coronary artery disease, anxiety, depression, and suicidality, have been identified in association with alopecia. In addition to the numerous associated comorbid conditions, patients with alopecia report decreased quality-of-life measures across symptomatic, functional, and global domains. While alopecia can affect patients of all ages, genders, and ethnicities, hair loss may more significantly impact women as hair represents an essential element of femininity, fertility, and female attractiveness in society. Individuals of lower socioeconomic status may also face health disparities in the context of alopecia as a majority of hair loss treatments are considered cosmetic in nature and accordingly are not covered by third-party insurance providers. Although traditionally thought of as a merely aesthetic concern, alopecia encompasses a significant burden of disease with well-defined comorbid associations and genuine psychosocial implications, and thus should be assessed and managed within a proper medical paradigm.

PURPOSE: Chemotherapy-induced alopecia (CIA) remains a distressing adverse event of cancer treatment but may be prevented by scalp cooling. The effectiveness of scalp cooling, however, is dependent on the chemotherapy regimen with successful hair preservation (i.e., < 50% hair loss) in 41-59% of women on taxane-based therapies in comparison to 16-36% on anthracycline-based therapies. Despite the potential utility, use of scalp cooling has shown a more equivocal impact on quality of life (QoL). In this review, we aim to evaluate the use of scalp cooling for CIA and quantitative QoL measures.

METHODS: A systematic review of PubMed, Embase, Web of Science, and Cochrane databases for clinical studies on scalp cooling to prevent CIA published before October 29, 2018 was performed. Clinical studies with 5 or more patients that reported on a quantitative QoL measure were included and graded according to a modified five-point scale from the Oxford Centre for Evidence-Based Medicine.

RESULTS: Studies meeting inclusion criteria included 4 randomized clinical trials (RCT), 8 cohort studies, and 1 cross-sectional study with 1282 unique patients. The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (QLQ-C30: 46%) and Breast Cancer Module (QLQ-BR23: 46%) represented the most commonly used QoL assessments. Overall, 4 (31%) of the 13 studies concluded that scalp cooling was associated with significant improvements in QoL measures; 8 (62%) determined that there was either non-significant or no improvements; and 1 (7.7%) provided a mixed conclusion. Although 2 (50%) RCT demonstrated that scalp cooling can effectively prevent CIA depending on the chemotherapy regimen, these studies did not show that successful hair preservation was associated with improved QoL measures.

CONCLUSIONS: This review demonstrates that scalp cooling is not consistently associated with significant QoL improvements as assessed by EORTC QLQ-C30 and -BR23. Representing a critical limitation, more than one-third of the studies did not subcategorize QoL outcomes for successfully or unsuccessfully scalp-cooled patients but rather reported on QoL measures for all scalp-cooled patients in general. Failure to prevent hair loss in patients undergoing an expensive and potentially uncomfortable treatment likely contributes to decreased well-being, impacting the overall distribution of QoL measures in scalp cooling patients compared to controls. Future studies should incorporate validated QoL instruments specific to hair disease and classify QoL outcomes for scalp-cooled patients based on the degree of hair preservation.