Biologics for Psoriasis.

Biologic therapies targeting tumor necrosis factor alpha (TNF-α) (infliximab, adalimumab, certolizumab, etanercept), the p40 subunit shared by IL-12 and IL-23 (ustekinumab), the p19 subunit of IL-23 (guselkumab, tildrakizumab, risankizumab), IL-17A (secukinumab, ixekizumab), IL-17-RA (brodalumab) and both IL-17A and IL-17F (bimekizumab) have revolutionized the treatment of psoriasis. In both the short and long term, risankizumab had highest Psoriasis Area and Severity Index 90 scores compared to other oral and injectable biologics. IL-23 inhibitors had lowest rates of short-term and long-term adverse events and most favorable long-term risk-benefit profile compared to IL-17, IL-12/23, and TNF-α inhibitors.

The utility of augmented teledermatology to improve dermatologist diagnosis of cellulitis: a cross-sectional study.

Dermatology consultation for cases of presumed cellulitis improves diagnostic accuracy and management. However, access to in-person consultation remains limited, a gap that could be filled with teledermatology. Augmented teledermatology may improve outcomes. In this cross-sectional study, 20 dermatologists (60% of whom reported conducting inpatient consults > 1 month per year) reviewed 10 real-life cases representing either cellulitis or pseudocellulitis as diagnosed by in-person dermatology consultation. For each case, respondents recorded their diagnosis, confidence, and management decisions after viewing the history and standard teledermatology photos, the responses to a physician-reported cellulitis questionnaire, and finally thermal images. Overall mean diagnostic accuracy increased from 84 ± 4% with the history and physical to 89 ± 3% when adding a cellulitis questionnaire and thermal images (p = 0.23). Accuracy for cellulitis cases specifically significantly increased from 76 ± 6% to 88 ± 4% when adding a cellulitis questionnaire and thermal images (p = 0.049). Accuracy for pseudocellulitis was consistently ≥ 94%. Augmented teledermatology with a standardized questionnaire and thermal images improved diagnostic accuracy for cases of cellulitis and may increase physician confidence. Dermatologists were able to accurately diagnose regardless of experience with inpatient consults, increasing the pool of potential dermatologists who could diagnose cellulitis remotely.

Complementary and alternative medicine for alopecia areata: A systematic review.

BACKGROUND: Despite high use of complementary and alternative medicine (CAM) for alopecia areata (AA), efficacy and safety remain unclear. OBJECTIVE: To identify all CAM therapies studied for treatment of AA. Outcomes of interest included disease course and psychologic well-being. METHODS: PubMed and Embase were searched to identify English articles containing original data investigating CAM in individuals with AA from 1950-2018. Quality was assessed with Oxford Centre for Evidence Based Medicine criteria. RESULTS: Of 1015 initial citations, 16 articles met inclusion criteria: 5 randomized controlled trials, 5 prospective controlled cohorts, 4 prospective noncontrolled cohorts, 1 retrospective cohort, and 1 case series. CAM therapies with best evidence and efficacy for hair growth in AA include essential oil aromatherapy, topical garlic, and oral glucosides of peony with compound glycyrrhizin. Hypnosis and mindfulness psychotherapy represent low-quality evidence for improvement of psychologic and quality of life outcomes. Adverse events were rare and mild for all therapies evaluated. LIMITATIONS: Inconsistent or poorly reported study methodology and nonstandardized outcomes limit the conclusions that can be made from these studies. CONCLUSIONS: This work serves to inform physician treatment of patients with AA seeking CAM while encouraging further investigation into these therapies to address some of the therapeutic challenges of AA.

Development and Validation of a Simple Model to Predict the Risk of Nonmelanoma Skin Cancer on Screening Total Body Skin Examination.

Objective: There is insufficient evidence to generate skin cancer screening guidelines at the population level, resulting in arbitrary variation in patient selection for screening skin examinations. This study was aimed at developing an easy-to-use predictive model of nonmelanoma skin cancer (NMSC) risk on screening total body skin examination (TBSE). Methods: This epidemiologic assessment utilized data from a prospective, multicenter international study from primarily academic outpatient dermatology clinics. Potential predictors of NMSC on screening TBSE were identified and used to generate a multivariable model that was converted into a point-based scoring system. The performance characteristics of the model were validated in a second data set from two healthcare institutions in the United States. Results: 8,501 patients were included. Statistically significant predictors of NMSC on screening TBSE included age, skin phototype, and history of NMSC. A multivariable model and point-based scoring system using these predictors exhibited high discrimination (AUC = 0.82). Conclusion: A simple three-variable model, abbreviated as CAP (cancer history, age, phototype) can accurately predict the risk of NMSC on screening TBSE by dermatology. This tool may be used in clinical decision making to enhance the yield of screening TBSE.

Evaluation of Stigma Toward Individuals With Alopecia.

Importance: Perceived stigma among patients with alopecia is associated with impaired quality of life; however, the magnitude of laypersons' stigma toward individuals with alopecia is unknown. Objective: To determine the prevalence and magnitude of laypersons' stigma toward individuals with varying degrees of alopecia and whether stigma increases with increased severity of alopecia. Design, Setting, and Participants: This was a cross-sectional study using an internet survey administered to a convenience sample of adult respondents in the US participating on the Amazon Mechanical Turk platform. Portrait images of 6 individuals without hair loss were created using artificial intelligence and stock images. Each portrait was edited to create 2 additional versions, 1 with scalp hair loss and 1 with complete hair loss, for a total of 18 images. On January 9 to 10, 2020, the survey presented each internet respondent with 1 randomly selected portrait to be used in answering a series of stigma-related questions from 3 domains: stereotypes, social distance, and disease-related myths; the third domain was presented only to respondents who believed that the individual pictured had a medical condition. Main Outcomes and Measures: The main outcome was the prevalence and magnitude of stigma of laypersons toward individuals with alopecia and the percentage of laypersons who believed the individual pictured had a medical condition as recorded in survey responses. Results: The survey was completed by 2015 respondents (99.9% completion rate) with a mean age of 37 (range, 18-78) years; 1014 (50.3%) were men; 1596 (79.2%) were White; and 1397 (69.3%) had a college or postcollege education. Endorsement of every stigma item increased as alopecia severity increased (2.4%-27.6%). Absolute change on the stereotype (0.5-0.6) and social distance scales (0.2-0.5) also increased, indicating more stigma. The percentage of respondents believing the individual pictured had a medical condition increased as alopecia severity increased (33.6%-75.7%; P < .001). Among the subgroup of respondents who were asked to rate their agreement with disease-related myths, the absolute change on the myth scale decreased as alopecia severity increased, indicating decreased stigma (-0.7 to -1.2). Conclusions and Relevance: This cross-sectional survey study found that stigmatizing attitudes of laypersons toward patients with alopecia exist across a multitude of social and professional scenarios. Stigma prevalence and magnitude vary by alopecia severity and possibly by whether alopecia is believed to be a medical condition.

Geographic disparities in access to scalp cooling for the prevention of chemotherapy-induced alopecia in the United States.

BACKGROUND: Chemotherapy-induced alopecia is psychologically challenging for patients undergoing cancer treatment, and scalp cooling has been shown to prevent or decrease the hair loss. OBJECTIVE: To evaluate whether access to scalp cooling varies by geographic area in the United States. METHODS: Cancer treatment centers offering scalp cooling were identified using data from the Rapunzel Project. Medicare claims data were queried to evaluate the number of chemotherapy infusions occurring in each zip code in the United States. Geographic distribution of chemotherapy infusions and scalp cooling centers was determined using ArcGIS software. The average distance from the geographic center of all 5-digit zip codes in which chemotherapy infusions occur to the nearest scalp cooling center was calculated in miles. RESULTS: There are 366 chemotherapy infusion centers in the United States that offer scalp cooling. Overall, 43.9% of Medicare-billed chemotherapy infusions in the United States occur in zip codes less than 12.5 miles from a scalp cooling center, 24.8% occur between 12.5 and 49.9 miles away, and 31.3% occur more than 50 miles away. LIMITATIONS: Our results are only generalizable to patients seen at Medicare-accepting institutions in the United States. CONCLUSIONS: Geographic disparities affect which patients can access scalp cooling therapy, and implementation in suburban and rural areas would increase access for patients who wish to preserve their hair while undergoing chemotherapy.

Brigham Eyebrow Tool for Alopecia: A Reliable Assessment of Eyebrow Alopecia Areata.

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.

Evaluation of the Effectiveness and Tolerability of Mycophenolate Mofetil and Mycophenolic Acid for the Treatment of Morphea.

Importance: First-line systemic therapy for morphea includes methotrexate with or without systemic corticosteroids. When this regimen is ineffective, not tolerated, or contraindicated, a trial of mycophenolate mofetil (MMF) or mycophenolic acid (MPA)-referred to herein as mycophenolate-is recommended; however, evidence to support this recommendation remains weak. Objective: To evaluate the effectiveness and tolerability of mycophenolate for the treatment of morphea. Design, Setting, and Participants: A retrospective cohort study was conducted from January 1, 1999, to December 31, 2018, among 77 patients with morphea from 8 institutions who were treated with mycophenolate. Main Outcomes and Measures: The primary outcome was morphea disease activity, severity, and response at 0, 3 to 6, and 9 to 12 months of mycophenolate treatment. A secondary outcome was whether mycophenolate was a well-tolerated treatment of morphea. Results: There were 61 female patients (79%) and 16 male patients (21%) in the study, with a median age at disease onset of 36 years (interquartile range, 16-53 years) and median diagnostic delay of 8 months (interquartile range, 4-14 months). Generalized morphea (37 [48%]), pansclerotic morphea (12 [16%]), and linear morphea of the trunk and/or extremities (9 [12%]) were the most common subtypes of morphea identified. Forty-one patients (53%) had an associated functional impairment, and 49 patients (64%) had severe disease. Twelve patients received initial treatment with mycophenolate as monotherapy or combination therapy and 65 patients received mycophenolate after prior treatment was ineffective (50 of 65 [77%]) or poorly tolerated (21 of 65 [32%]). Treatments prior to mycophenolate included methotrexate (48 of 65 [74%]), systemic corticosteroids (42 of 65 [65%]), hydroxychloroquine (20 of 65 [31%]), and/or phototherapy (14 of 65 [22%]). After 3 to 6 months of mycophenolate treatment, 66 of 73 patients had stable (n = 22) or improved (n = 44) disease. After 9 to 12 months of treatment, 47 of 54 patients had stable (n = 14) or improved (n = 33) disease. Twenty-seven patients (35%) achieved disease remission at completion of the study. Treatments received in conjunction with mycophenolate were frequent. Mycophenolate was well tolerated. Gastrointestinal adverse effects were the most common (24 [31%]); cytopenia (3 [4%]) and infection (2 [3%]) occurred less frequently. Conclusions and Relevance: This study suggests that mycophenolate is a well-tolerated and beneficial treatment of recalcitrant, severe morphea.

Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening: A Qualitative Study.

Importance: The use of artificial intelligence (AI) is expanding throughout the field of medicine. In dermatology, researchers are evaluating the potential for direct-to-patient and clinician decision-support AI tools to classify skin lesions. Although AI is poised to change how patients engage in health care, patient perspectives remain poorly understood. Objective: To explore how patients conceptualize AI and perceive the use of AI for skin cancer screening. Design, Setting, and Participants: A qualitative study using a grounded theory approach to semistructured interview analysis was conducted in general dermatology clinics at the Brigham and Women's Hospital and melanoma clinics at the Dana-Farber Cancer Institute. Forty-eight patients were enrolled. Each interview was independently coded by 2 researchers with interrater reliability measurement; reconciled codes were used to assess code frequency. The study was conducted from May 6 to July 8, 2019. Main Outcomes and Measures: Artificial intelligence concept, perceived benefits and risks of AI, strengths and weaknesses of AI, AI implementation, response to conflict between human and AI clinical decision-making, and recommendation for or against AI. Results: Of 48 patients enrolled, 26 participants (54%) were women; mean (SD) age was 53.3 (21.7) years. Sixteen patients (33%) had a history of melanoma, 16 patients (33%) had a history of nonmelanoma skin cancer only, and 16 patients (33%) had no history of skin cancer. Twenty-four patients were interviewed about a direct-to-patient AI tool and 24 patients were interviewed about a clinician decision-support AI tool. Interrater reliability ratings for the 2 coding teams were κ = 0.94 and κ = 0.89. Patients primarily conceptualized AI in terms of cognition. Increased diagnostic speed (29 participants [60%]) and health care access (29 [60%]) were the most commonly perceived benefits of AI for skin cancer screening; increased patient anxiety was the most commonly perceived risk (19 [40%]). Patients perceived both more accurate diagnosis (33 [69%]) and less accurate diagnosis (41 [85%]) to be the greatest strength and weakness of AI, respectively. The dominant theme that emerged was the importance of symbiosis between humans and AI (45 [94%]). Seeking biopsy was the most common response to conflict between human and AI clinical decision-making (32 [67%]). Overall, 36 patients (75%) would recommend AI to family members and friends. Conclusions and Relevance: In this qualitative study, patients appeared to be receptive to the use of AI for skin cancer screening if implemented in a manner that preserves the integrity of the human physician-patient relationship.

Abnormal Baseline Lab Results Rarely Lead to Treatment Modification for Patients on Isotretinoin.

BACKGROUND: Treatment modification and clinical course for patients initiating isotretinoin with abnormal baseline lab results is currently unknown, and no recommendations exist for monitoring this patient group. METHODS: We performed a retrospective review of patients prescribed isotretinoin for acne from 2008 to 2016 at Brigham and Women's and Massachusetts General Hospitals to investigate the characteristics, clinical implications, and management of patients initiating isotretinoin for acne with baseline laboratory abnormalities. RESULTS: We identified a low rate (7.2%) of treatment modification, including interruption (3.6%) and early termination (3.6%), during isotretinoin therapy due to lab abnormalities for patients with baseline lab abnormalities. Abnormal baseline total cholesterol, triglyceride, and liver function tests did not predict management changes, as only 2 of 10 total treatment modifications were due to a lab result that was abnormal at baseline. Treatment modification was driven by ALT elevation not present at baseline that occurred in patients with liver comorbidities. CONCLUSION: Emphasizing relevant comorbidities, including hepatic disease or alcohol use, to inform our monitoring may be a superior predictor of abnormalities during treatment, as our work demonstrates that the value of baseline lab data prior to isotretinoin is unclear.