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Hidradenitis suppurativa (HS) is a systemic recalcitrant inflammatory condition characterized by debilitating lesions with high morbidity. Its known association with obesity and smoking indicate correlation with other environmental factors, such as diet, suggesting a larger role for lifestyle modifications in disease treatment. This study seeks to assess the contribution of weight loss and dietary intake in HS management. A primary literature search was conducted using PubMed, Web of Science, and CINAHL in November 2018 to include association and intervention studies on the influence of diet and weight on HS. Twenty‐five articles were included. Meta‐analysis of nine case–control studies across Asia, Europe, and the United States showed that HS patients are four times more likely to be obese compared to the general population; random effects pooled odds ratio 4.022 (2.667–6.065), P < 0.001. Five articles assessed weight‐loss interventions and revealed mixed findings. The remaining articles included three association studies on micronutrient levels, eight dietary intervention studies, and one article analyzing both micronutrient association and dietary intervention. Included articles in this systematic review reveal that low serum zinc and vitamin D levels are associated with increased lesion count in HS. Supplementation of zinc, vitamin D, vitamin B12, or exclusion of dairy or brewer’s yeast can be effective in partial or complete lesion resolution. Reviewed data show that weight loss from bariatric surgery may lead to HS improvement but often results in more severe malnutrition that worsens or even leads to new onset HS post bariatric surgery. Future reporting is needed to conclusively determine the role of diet in HS.

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Introduction:Metformin is an antihyperglycemic medication most commonly used to treat type II Diabetes Mellitus with promising off-label application for the treatment of hidradenitis suppurativa, psoriasis, acne, acanthosis nigricans, and hirsutism. Objective: To comprehensively assess evidence regarding the use of metformin for treating primary cutaneous disorders. Materials and Methods: A systematic literature search was conducted through PubMed, Cochrane, Web of Science, and CINAHL to identify the role of metformin in primary skin disease. Results: Sixty-four studies met inclusion criteria. Metformin demonstrates promising clinical response and favorable safety profile for treatment of HS, with most patients experiencing a decrease in frequency or severity of HS flares, and some experiencing full resolution of HS lesions. Patients with psoriasis treated with metformin experienced quantifiable clinical responses. Application of metformin on polycystic ovarian disease (PCOS) related acne, acanthosis nigricans, and hirsutism yielded mixed clinical results. No serious adverse effects were reported. Conclusion: Metformin is safe and efficacious and may be considered as an adjunctive therapy for the treatment of psoriasis and hidradenitis suppurativa in addition to first line therapies as well as PCOS related acne, acanthosis nigricans, and hirsutism.

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Background and Objectives One of the challenges in developing effective hair loss therapies is the lack of reliable methods to monitor treatment response or alopecia progression. In this study, we propose the use of optical coherence tomography (OCT) and automated deep learning to non‐invasively evaluate hair and follicle counts that may be used to monitor the success of hair growth therapy more accurately and efficiently. Study Design/Materials and Methods We collected 70 OCT scans from 14 patients with alopecia and trained a convolutional neural network (CNN) to automatically count all follicles present in the scans. The model is based on a dual approach of both detecting hair follicles and estimating the local hair density in order to give accurate counts even for cases where two or more adjacent hairs are in close proximity to each other. Results We evaluate our system on 70 OCT manually labeled scans taken at different scalp locations from 14 patients, with 20 of those redundantly labeled by two human expert OCT operators. When comparing the individual human predictions and considering the exact locations of hair and follicle predictions, we find that the two human raters disagree with each other on approximately 22% of hairs and follicles. Overall, the deep learning (DL) system predicts the number of follicles with an error rate of 11.8% and the number of hairs with an error rate of 18.7% on average on the 70 scans. The OCT system can capture one scalp location in three seconds, and the DL model can make all predictions in less than a second after processing the scan, which takes half a minute using an unoptimized implementation. Conclusion This approach is well‐positioned to become the standard for non‐invasive evaluation of hair growth treatment progress in patients, saving significant amounts of time and effort compared with manual evaluation. Lasers Surg. Med. © 2020 Wiley Periodicals, Inc.

BACKGROUND Injectable deoxycholic acid (DCA) may be used to remove excess submental fat and off-label for local adipose reduction. Despite DCA's widespread use, rare incidences of severe, systemic, long-term adverse events (AEs) have been reported. OBJECTIVE To evaluate the potential side effects associated with injectable DCA. METHODS AND MATERIALS A systematic review was conducted using PubMed, Cochrane, CINAHL, and Web of Science using PRISMA guidelines to gather the literature relating to DCA or deoxycholate-associated AEs and their management. RESULTS Twenty-eight manuscripts were included after full article review. Most commonly, patients experienced mild localized AEs, whereas a small number of patients experienced severe pain, alopecia, nasopharyngitis, dysphagia, dizziness/lightheadedness, and gastrointestinal upset. Severe, long-term AEs were reported as rare in the evaluated literature. Deoxycholic acid injections in large volumes were more likely to cause severe adverse effects. CONCLUSION Self-resolving, mild side effects and severe but rare adverse effects have been reported with DCA use making it a safe treatment for local adipose reduction. Further studies are necessary to determine its safety profile, especially when using DCA in off-label areas.

Background and Objective Early diagnosis and treatment of hair loss disorders is vital in providing patients with improved psychological outcomes. Non‐invasive imaging with optical coherence tomography (OCT) may be useful in characterizing and managing alopecia. Despite expanding clinical applications of OCT in dermatology, guidelines demonstrating in vivo features of normal and alopecic scalp images remain scant. This pilot study aims to provide an atlas of OCT findings of healthy and alopecia subjects, explore diagnostic quantitative endpoints of alopecia, and compare epidermal thickness and follicular density between scalp regions. Study Design/Materials and Methods A total of 32 patients (19–76 years old) were enrolled in the study, including healthy patients (n = 6), and patients with scarring alopecia (n = 12) or non‐scarring alopecia (n = 14). An in‐line fiber‐based swept source OCT was used to image five scalp locations at baseline and 6‐month visits. Three investigators evaluated each image for gross features, epidermal thickness, and follicular density. Results Only data from baseline imaging analysis is discussed in this manuscript. Qualitative differences of OCT images are identified in sample images from healthy scalp and each subtype of alopecia studied. Scarring alopecia is characterized by significantly increased epidermal thickness (average Image J pixel units 32 ± 2 compared with non‐scarring alopecia [average 28 ± 3] and control [average 27 ± 3]) (P = 0.022) and decreased follicle count (average 35 ± 5 in a 5 × 7 mm2 area compared with control (50 ± 3) and non‐scarring patients (47 ± 6)) (P = 0.0052). Scalp location had no impact on epidermal thickness (P = 0.861) or follicular density (P = 0.15). Conclusion OCT holds promise as a non‐invasive technique to further characterize and objectively measure alopecia. Larger sample sizes and longitudinal data are needed to improve reliability and determine if additional distinction between alopecia subtypes and treatment monitoring is possible. Lasers Surg. Med. © 2020 Wiley Periodicals, Inc.