Janus kinase inhibitors for alopecia areata.

Janus kinase (JAK) inhibitors have ushered in a new era in alopecia areata (AA). Historically, moderate-to-severe AA was refractory to treatment. JAK inhibitors have changed that; now, treatment of moderate-to-severe AA is possible. Here, we briefly review the history of and rationale for JAK inhibitor treatment of AA, phase 3 clinical trial data, and considerations regarding differences among JAK inhibitors, safety, and patient selection.

Using qualitative methods to establish the clinically meaningful threshold for treatment success in alopecia areata.

PURPOSE: Traditionally, appropriate anchors are used to investigate the amount of change on a clinician-reported outcome assessment that is meaningful to individual patients. However, novel qualitative methods involving input from disease state experts together with patients may better inform the individual improvement threshold for demonstrating the clinical benefit of new treatments. This study aimed to establish a clinically meaningful threshold for treatment success for the clinician-reported Severity of Alopecia Tool (SALT) score for patients with alopecia areata (AA). METHODS: A purposive sample of 10 dermatologists expert in AA and 30 adult and adolescent patients with AA and a history of ≥ 50% scalp hair loss were recruited. Semi-structured interview questions explored the outcome that represented treatment success to clinicians and patients. Findings were analyzed using thematic methods to identify treatment success thresholds. RESULTS: Both informant groups confirmed scalp hair amount as the outcome of priority. Most expert clinicians considered a static threshold of 80% (n = 5) or 75% (n = 3) of the scalp hair as a treatment success. Most patient responses ranged from 70 to 90% (median: 80% of the scalp hair). Subsequently, queried patients confirmed that achieving SALT score ≤ 20 with treatment would be a success, as reflected in the Alopecia Areata Investigator Global Assessment (AA-IGA™). The novel qualitative processes used to inform this meaningful threshold reflects a clinician-then-patient process for: (a) confirmation of the patient outcome of priority; and (b) clinician input on a preliminary treatment success level for independent understanding among patients. CONCLUSION: This qualitative investigation of expert clinicians-then-patients with AA confirmed that achieving an amount of 80% or more scalp hair (SALT score ≤ 20) was an appropriate individual treatment success threshold indicating clinically meaningful improvement for patients with ≥ 50% scalp hair loss. A qualitative investigation of a quantifiable treatment success threshold is possible through a well-designed interview process with expert clinicians and the appropriate patient population.

Defining Severity in Alopecia Areata: Current Perspectives and a Multidimensional Framework.

Alopecia areata (AA) is an autoimmune disease characterized by nonscarring hair loss. As a clinically heterogeneous disease, various classification systems have evolved for defining its severity. In this high-level review of the literature, we discuss the traditional classification systems for AA severity and their strengths and weaknesses. Most recent classifications have focused on the extent of scalp hair loss as a defining feature, but additional clinical aspects of the disease, including location, pattern, and duration of hair loss as well as impact on the patient's quality of life, are also relevant. These various components have typically been used unidimensionally to classify patients. We propose a multidimensional framework to define AA severity that incorporates multiple patient- and illness-related domains. Using such a framework, dermatologists may better assess the severity of the disease for the individual patient beyond the extent of hair loss.

Development of the alopecia areata scale for clinical use: Results of an academic-industry collaborative effort.

BACKGROUND: The current classification for alopecia areata (AA) does not provide a consistent assessment of disease severity. OBJECTIVE: To develop an AA severity scale based on expert experience. METHODS: A modified Delphi process was utilized. An advisory group of 22 AA clinical experts from the United States was formed to develop this AA scale. Representatives from the pharmaceutical industry provided feedback during its development. RESULTS: Survey responses were used to draft severity criteria, aspiring to develop a simple scale that may be easily applied in clinical practice. A consensus vote was held to determine the final AA severity statement, with all AA experts agreeing to adopt the proposed scale. LIMITATIONS: The scale is a static assessment intended to be used in clinical practice and not clinical trials. CONCLUSION: The final AA disease severity scale, anchored in the extent of hair loss, captures key features commonly used by AA experts in clinical practice. This scale will better aid clinicians in appropriately assessing severity in patients with this common disease.

A qualitative interview study to explore adolescents' experience of alopecia areata and the content validity of sign/symptom patient-reported outcome measures.

BACKGROUND: The content validity (appropriateness and acceptability) of patient-reported outcome (PRO) measures for scalp hair loss, eyebrow loss, eyelash loss, nail damage and eye irritation has been demonstrated in adults with alopecia areata (AA) but not adolescents. OBJECTIVES: To explore the content validity of the suite of AA PRO measures and accompanying photoguides in an adolescent sample. METHODS: Semi-structured, 90-min, combined concept elicitation and cognitive interviews were conducted face-to-face with adolescents who experienced ≥ 50% AA-related scalp hair loss. Transcripts underwent thematic and framework analysis. RESULTS: Eleven adolescents (aged 12-17 years, 55% female, 45% nonwhite) diagnosed with AA for 5·9 years (mean) participated. Participants had 69·6% scalp hair (mean) and current eyebrow (82%) and/or eyelash loss (82%) and/or nail involvement (36%). Adolescents reported scalp, eyebrow and eyelash hair loss as their top three most bothersome signs/symptoms. Despite mostly accepting their AA, impacts related to visible areas of hair loss were prominent. Participants demonstrated good understanding and appropriate use of the PRO measures, and advocated including hair loss percentages alongside descriptive categories in the Scalp Hair Assessment PRO™. Results confirmed treatment success thresholds established with adults: achievement of ≤ 20% scalp hair loss, no/minimal eyebrow and eyelash loss, no/a little nail damage and eye irritation (PRO measure categories 0 or 1). CONCLUSIONS: The Scalp Hair Assessment PRO™, PRO Measure for Eyebrows™, PRO Measure for Eyelashes™, PRO Measure for Nail Appearance™ and PRO Measure for Eye Irritation™ and accompanying photoguides are fit-for-purpose self-reported measures of AA signs/symptoms that are impactful to adolescents with AA.

Cytokine RNA In Situ Hybridization Permits Individualized Molecular Phenotyping in Biopsies of Psoriasis and Atopic Dermatitis.

Detection of individual cytokines in routine biopsies from patients with inflammatory skin diseases has the potential to personalize diagnosis and treatment selection, but this approach has been limited by technical feasibility. We evaluate whether a chromogen-based RNA in situ hybridization approach can be used to detect druggable cytokines in psoriasis and atopic dermatitis. A series of psoriasis (n = 20) and atopic dermatitis (n = 26) biopsies were stained using RNA in situ hybridization for IL4, IL12B (IL-12/23 p40), IL13, IL17A, IL17F, IL22, IL23A (IL-23 p19), IL31, and TNF (TNF-α). NOS2 and IFNG, canonical psoriasis biomarkers, were also included. All 20 of the psoriasis cases were positive for IL17A, which tended to be the predominant cytokine, although some cases had relatively higher levels of IL12B, IL17F, or IL23A. The majority of cytokine expression in psoriasis was epidermal. A total of 22 of 26 atopic dermatitis cases were positive for IL13, also at varying levels; a subset of cases had significant IL4, IL22, or IL31 expression. Patterns were validated in independent bulk RNA-sequencing and single-cell RNA-sequencing datasets. Overall, RNA in situ hybridization for cytokines appears highly specific with virtually no background staining and may allow for individualized evaluation of treatment-relevant cytokine targets in biopsies from patients with inflammatory skin disorders.

Challenges in interpreting cytokine data in COVID-19 affect patient care and management.

Challenges in using cytokine data are limiting Coronavirus Disease 2019 (COVID-19) patient management and comparison among different disease contexts. We suggest mitigation strategies to improve the accuracy of cytokine data, as we learn from experience gained during the COVID-19 pandemic.

A neutrophil activation signature predicts critical illness and mortality in COVID-19.

Pathologic immune hyperactivation is emerging as a key feature of critical illness in COVID-19, but the mechanisms involved remain poorly understood. We carried out proteomic profiling of plasma from cross-sectional and longitudinal cohorts of hospitalized patients with COVID-19 and analyzed clinical data from our health system database of more than 3300 patients. Using a machine learning algorithm, we identified a prominent signature of neutrophil activation, including resistin, lipocalin-2, hepatocyte growth factor, interleukin-8, and granulocyte colony-stimulating factor, which were the strongest predictors of critical illness. Evidence of neutrophil activation was present on the first day of hospitalization in patients who would only later require transfer to the intensive care unit, thus preceding the onset of critical illness and predicting increased mortality. In the health system database, early elevations in developing and mature neutrophil counts also predicted higher mortality rates. Altogether, these data suggest a central role for neutrophil activation in the pathogenesis of severe COVID-19 and identify molecular markers that distinguish patients at risk of future clinical decompensation.

Eyebrows Are Important in the Treatment of Alopecia Areata.

Alopecia areata affects not only scalp hair but also other sites of body hair, including eyebrows. Our objective was to investigate the importance of eyebrows in the treatment goals of patients with alopecia areata. Through an online questionnaire, subjects were asked to assess satisfaction with the visually depicted level of response to treatment, using edited photographs depicting a range of eyebrows and scalp hair growth. The questionnaire was completed by 1,741 adults. Absent or partial growth of eyebrows and scalp hair elicited <25% satisfaction. Images depicting either complete eyebrows or complete scalp hair achieved satisfaction in >50% of participants. More participants were satisfied with complete eyebrows and no scalp hair (69%) than complete eyebrows and partial scalp hair (51%). Only when both eyebrows and scalp hair were completely regrown did extreme satisfaction levels reach 90.4%. Limitations include the online nature of the survey, lack of control group, and self-reported severity of alopecia areata in participants. These results suggest that eyebrows may be as important as scalp hair for patients assessing theoretical responses to treatment for alopecia areata. Future clinical studies should consider growth of eyebrows as an outcome measure on par with scalp hair growth.

The Role of Patients in Alopecia Areata Endpoint Development: Understanding Physical Signs and Symptoms.

Meaningful patient input to understand disease experience and patient expectations for improvement with treatment is essential for the selection and development of outcome measures for alopecia areata (AA) clinical trials. This study explored the physical signs and symptoms of AA through 30 semistructured interviews with adult (n = 25) and adolescent (n = 5) patients experienced with severe or very severe AA. Scalp hair loss was overwhelmingly the most important sign and symptom of AA. Nearly all patients (90%) considered scalp hair loss in their top three most bothersome physical signs and symptoms of AA, with 77% (n = 23) naming scalp hair loss as the most bothersome symptom. Other identified signs and symptoms in the top three most bothersome included eyebrow, eyelash, nose, body, and facial hair loss, as well as eye irritation and nail damage and/or appearance. Eyebrow (16%, n = 4), eyelash (4%, n = 1), nasal (4%, n = 1), and body (4%, n = 1) hair loss were identified by seven adult patients as the most bothersome signs and symptoms of AA. Conceptual saturation confirmed that a comprehensive understanding of this patient population's physical AA-related signs and symptoms was obtained. These findings indicate that the primary objective for new AA treatments for this patient population should be meaningful improvement in scalp hair growth to address the most troubling unmet need.

A neutrophil activation signature predicts critical illness and mortality in COVID-19.

Pathologic immune hyperactivation is emerging as a key feature of critical illness in COVID-19, but the mechanisms involved remain poorly understood. We carried out proteomic profiling of plasma from cross-sectional and longitudinal cohorts of hospitalized patients with COVID-19 and analyzed clinical data from our health system database of over 3,300 patients. Using a machine learning algorithm, we identified a prominent signature of neutrophil activation, including resistin, lipocalin-2, HGF, IL-8, and G-CSF, as the strongest predictors of critical illness. Neutrophil activation was present on the first day of hospitalization in patients who would only later require transfer to the intensive care unit, thus preceding the onset of critical illness and predicting increased mortality. In the health system database, early elevations in developing and mature neutrophil counts also predicted higher mortality rates. Altogether, we define an essential role for neutrophil activation in the pathogenesis of severe COVID-19 and identify molecular neutrophil markers that distinguish patients at risk of future clinical decompensation.

"'You lose your hair, what's the big deal?' I was so embarrassed, I was so self-conscious, I was so depressed:" a qualitative interview study to understand the psychosocial burden of alopecia areata.

BACKGROUND: Alopecia areata (AA) is characterized by hair loss that can affect the scalp and body. This study describes the psychosocial burden of AA. METHODS: Participants diagnosed with AA who had experienced ≥50% scalp hair loss according to the Severity of Alopecia Tool (SALT) were identified by clinicians. A semi-structured interview guide, developed with expert clinician input, included open-ended questions to explore patients' experiences of living with AA. Data were thematically analyzed to identify concepts and relationships. RESULTS: Participants (n = 45, 58% female, mean age 33.3 years [range 15-72], mean SALT 67.2 [range 0-100]) described the AA diagnosis as "devastating". Both males and females reported emotional and psychological impacts of AA including feeling sad/depressed (n = 21), embarrassed/ashamed (n = 10) and angry/frustrated (n = 3). Patients felt helpless (n = 5) due to the unpredictability of disease recurrence, and anxious (n = 19) about judgement from others. Many patients avoided social situations (n = 18), which impaired relationships and increased isolation. Coping strategies included concealment of hair loss through wigs or make-up, although fear of the displacement of these coverings also caused anxiety and the avoidance of activities that could result in scalp exposure (n = 22). Some patients became more accepting of AA over time, which lessened the emotional impact, though efficacious treatment was still desired. A conceptual framework was developed, and a conceptual model was created to depict the relationship between the physical signs/symptoms and the associated psychosocial effects of AA. CONCLUSION: AA impairs patients' emotional and psychological wellbeing, relationships and lifestyles. Greater disease awareness and effective treatments are needed.