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Background: Psoriasis is a chronic inflammatory skin disease associated with several important medical comorbidities. There are scant data available on the comorbidities of patients with psoriasis in South America. Aim: To examine the comorbidity profile of adult patients with psoriasis in Chile and its association with severity of psoriasis. Methods: This was a multicentre, cross-sectional study involving 16 hospitals and clinics in Chile, which used a 48-item questionnaire to study clinician- and patient-reported outcomes and comorbidities. Inferential analyses were performed by psoriasis severity, using Fisher exact test, Student t-test and multivariable logistic regression. Results: In total, 598 adult patients with psoriasis were included (51.1% male; mean age 49.2 ± 15.1 years); 48.5% mild and 51.4% moderate to severe; Psoriasis Area and Severity Index 11.6 ± 11.5; body surface area 14.7 ± 18.2%. Plaque psoriasis was the most common phenotype (90.2%), followed by guttate (13.4%). Psoriatic arthritis occurred in 27.3% of patients. Comorbidities were reported in 60.2% of all patients with psoriasis. Frequent concomitant diseases were obesity (25.3%), hypertension (24.3%), Type 2 diabetes mellitus (T2DM) (18.7%), dyslipidaemia (17.4%), metabolic syndrome (16.7%) and depression (14.4%). After adjustment, significant associations were found between moderate to severe psoriasis and obesity, T2DM and nonalcoholic fatty liver disease (NAFLD) compared with mild psoriasis. Conclusions: We report a large study of comorbidities, including depression, dyslipidaemia, T2DM and NAFLD, in people with psoriasis in Chile. The prevalence of comorbidities with psoriasis in Chile appears similar to that found in Western countries, and emphasizes the importance of assessing patients with psoriasis for risk factors for and presence of, comorbid disease in a multidisciplinary setting.

Background: Prolonged systemic antibiotic treatment is often a part of management of hidradenitis suppurativa (HS). Although biologic therapies are now available, the patient’s treatment journey leading to biologic therapy is unclear. Objectives: To examine treatment patterns and duration of systemic treatment use in patients with HS preceding biologic therapy. Methods: We identified all patients with HS receiving treatment with biologics in the Danish National Patient Registry from 2010 to 2018 and extracted their entire prescription history of specific systemic treatments from the Danish National Prescription Registry since its inception in 1995. The patients’ treatment journeys are graphically displayed through Sankey diagrams and box plots generated to show temporal distributions. Descriptive patient characteristics were presented as frequencies with percentages for categorical variables and as means with SDs or medians with interquartile ranges (IQRs) for continuous variables. Results: A total of 225 patients with HS were included. Patients had most frequently been treated with penicillin (n = 214; 95·1%), dicloxacillin (n = 194; 86·2%), tetracycline (n = 145; 64·4%) and rifampicin/clindamycin (n = 111; 49·3%), as well as the retinoids isotretinoin and acitretin, and dapsone. Prior to biologic therapy, patients received a mean of 4·0 (SD 1·3) different systemic therapies, across a mean of 16·9 (SD 11·3) different treatment series. The mean time from first systemic therapy until biologic therapy was initiated was 15·3 (SD 5·1) years [8·2 (SD 5·9) years when excluding penicillin and dicloxacillin]. Conclusions: Patients with HS who receive biologic therapy have long preceding treatment histories with multiple drug classes and treatment series, many of which are supported by relatively weak evidence in HS. Delay in the initiation of biologic therapy may represent a missed opportunity to prevent disease progression. What is already known about this topic? The tr

BACKGROUND: Use of Janus kinase 1 inhibitors in moderate-to-severe atopic dermatitis (AD) is associated with incident acne in adolescent and adults that is mostly mild, transient and treatable. There is a need for more knowledge about the risk and severity of acne in patients with AD.OBJECTIVES: To examine the prevalence, incidence and risk of acne in adolescents and adults with AD using nationwide prescription data.METHODS: A matched cohort study of 6600 adults with AD and 66 000 controls was conducted using routinely and prospectively collected nationwide administrative data. Adjusted hazard ratios (HR) are reported with 95% confidence intervals (CIs).RESULTS: The 12-month prevalence of acne was 3.7% in the general population and 3.9% among AD patients. The incidence rate of acne was highest among 12- to 18-year-old AD patients, and overall slightly higher in women with AD compared with males. The overall risk in patients with AD was similar with that of the general population (HR 0.96; 95% CI 0.88-1.06), whereas the risk of being treated for severe acne was reduced in AD patients (HR 0.59; 95% CI 0.47-0.73) and mainly among adolescents and young adults. The HR of acne increased with age reaching 1.41 (95% CI 1.07-1.87) for ages 30-39 years, and 2.07 (95% CI 1.42-3.03) for patients ≥40 years compared with controls.CONCLUSIONS: The risk and severity of acne in AD patients change with age and sex, which may be used for the risk assessment of acne following treatment with Janus kinase 1 inhibitors.

Importance: Four distinct rosacea subtypes have traditionally been recognized, but the frequency of these subtypes among patients with rosacea remains unknown. Objective: To assess the frequency of 4 rosacea subtypes. Data Sources: This systemic review and meta-analysis included a search of 2 databases, PubMed and Embase, from inception of the databases to November 2, 2021. The search was filtered to include only studies of human participants published in English, French, and German. Study Selection: Studies were screened independently by 2 of the authors and were included if they were original with a sample size of 25 or more patients and reported absolute numbers or frequency of patients affected by rosacea subtypes. Studies that did not report sufficient data to calculate the proportions of subtypes were excluded. Data Extraction and Synthesis: Data extraction was performed independently and in duplicate by 2 of the authors, using the search term rosacea, according to the Preferred Reporting items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The search term, objectives, and study protocol methods were defined before the study was initiated. A total of 292 studies were included for full-text assessment. Owing to the heterogeneity of the included studies, a random-effects model was used. Main Outcome and Measures: The main outcome was the proportion of patients with rosacea in each of the 4 major subtype groups defined by the 2002 National Rosacea Society classification system. Measures were absolute numbers or frequency of patients affected by each of the 4 rosacea subtypes. Results: A total of 39 studies examining 9190 patients with rosacea were included. The pooled proportion of erythematotelangiectatic rosacea was 56.7% (95% CI, 51.4%-62.0%), of papulopustular rosacea was 43.2% (95% CI, 38.8%-47.6%), of phymatous rosacea was 7.4% (95% CI, 6.1%-8.9%), and of ocular rosacea was 11.1% (95% CI, 6.7%-16.3%). Subtype distribution occurred equally

IMPORTANCE Identifying the optimal long-term biologic therapy for patients with psoriasis is often done through trial and error. OBJECTIVE To identify the optimal biologic therapy for individual patients with psoriasis using predictive statistical and machine learning models. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study used data from Danish nationwide registries, primarily DERMBIO, and included adult patients treated for moderate-to-severe psoriasis with biologics. Data were processed and analyzed between spring 2021 and spring 2022. MAIN OUTCOMES AND MEASURES Patient clusters of clinical relevance were identified and their success rates estimated for each drug. Furthermore, predictive prognostic models to identify optimal biologic treatment at the individual level based on data from nationwide registries were evaluated. RESULTS Assuming a success criterion of 3 years of sustained treatment, this study included 2034 patients with a total of 3452 treatment series. Most treatment series involved male patients (2147 [62.2%]) originating from Denmark (3190 [92.4%]), and 2414 (69.9%) had finished an education longer than primary school. The average ages were 24.9 years at psoriasis diagnosis and 45.5 years at initiation of biologic therapy. Gradient-boosted decision trees and logistic regression were able to predict a specific cytokine target (eg, interleukin-17 inhibition) associated with a successful treatment with accuracies of 63.6% and 59.2%, and top 2 accuracies of 95.9% and 93.9%. When predicting specific drugs resulting in success, gradient boost and logistic regression had accuracies of 48.5% and 44.4%, top 2 accuracies of 77.6% and 75.9%, and top 3 accuracies of 89.9% and 89.0%. CONCLUSIONS AND RELEVANCE Of the treatment prediction models used in this cohort study of patients with psoriasis, gradient-boosted decision trees performed significantly, IMPORTANCE Identifying the optimal long-term biologic therapy for patients with psoriasis is often done through trial and error. OBJECTIVE To identify the optimal biologic therapy for individual patients with psoriasis using predictive statistical and machine learning models. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study used data from Danish nationwide registries, primarily DERMBIO, and included adult patients treated for moderate-to-severe psoriasis with biologics. Data were processed and analyzed between spring 2021 and spring 2022. MAIN OUTCOMES AND MEASURES Patient clusters of clinical relevance were identified and their success rates estimated for each drug. Furthermore, predictive prognostic models to identify optimal biologic treatment at the individual level based on data from nationwide registries were evaluated. RESULTS Assuming a success criterion of 3 years of sustained treatment, this study included 2034 patients with a total of 3452 treatment series. Most treatment series involved male patients (2147 [62.2%]) originating from Denmark (3190 [92.4%]), and 2414 (69.9%) had finished an education longer than primary school. The average ages were 24.9 years at psoriasis diagnosis and 45.5 years at initiation of biologic therapy. Gradient-boosted decision trees and logistic regression were able to predict a specific cytokine target (eg, interleukin-17 inhibition) associated with a successful treatment with accuracies of 63.6% and 59.2%, and top 2 accuracies of 95.9% and 93.9%. When predicting specific drugs resulting in success, gradient boost and logistic regression had accuracies of 48.5% and 44.4%, top 2 accuracies of 77.6% and 75.9%, and top 3 accuracies of 89.9% and 89.0%. CONCLUSIONS AND RELEVANCE Of the treatment prediction models used in this cohort study of patients with psoriasis, gradient-boosted decision trees performed significantly

IMPORTANCE Biologics are important in treating patients with hidradenitis suppurativa (HS). However, to our knowledge, data on their real-life performance and treatment patterns in HS are limited.OBJECTIVE To examine the drug survival of biologic therapies for HS in a real-world setting.DESIGN, SETTING, PARTICIPANTS This cohort study included all patients with HS between January 1, 2005, and December 31, 2018, who were treated with biologics at the 5 academic hospital clinics where all biologic treatment for HS is conducted in Denmark. Biologics included adalimumab, anakinra, certolizumab pegol, etanercept, golimumab, infliximab, secukinumab, and ustekinumab. Data were analyzed between June 1, 2021, and June 20, 2021.MAIN OUTCOMES AND MEASURES Drug survival was depicted through Kaplan-Meier curves, and Cox regression models were used to calculate adjusted (age, sex, previous number of biologic treatment series) hazard ratios (aHRs) with 95% CIs for the risk of treatment discontinuation. Switching patterns were visualized through a Sankey diagram.RESULTS The study comprised 241 patients (176 women [61.8%]; total of 386 treatment series) with a mean (SD) age of 41.8 (12.6) years at initiation of first biologic therapy. There were a total of 256 (189 [73.8%] biologic naive), 66 (32 [48.5%] biologic naive), 23 (9 [39.1%] biologic naive), and 22 (9 [40.9%] biologic naive) treatment series with adalimumab, infliximab, etanercept, and ustekinumab, respectively. The median time to discontinuation was 36.0 (IQR, 21.9-63.0), 28.7 (IQR, 15.1-62.9), 26.0 (IQR, 16.9-155.9), and 17.9 weeks (IQR, 12.9-41.0) for adalimumab, infliximab, ustekinumab and etanercept, respectively. The risk of drug discontinuation was significantly higher for etanercept compared with adalimumab (aHR, 1.81; 95% CI, 1.16-2.82), infliximab (aHR, 1.77; 95% CI, 1.03-3.05), and ustekinumab (aHR, 2.49; 95% CI, 1.12-5.52), whereas no difference was observed when comparing these 3

Psoriasis can involve the skin, joints, nails and cardiovascular system and result in a significant impairment in quality of life. Studies have shown a lower response rate to systemic anti-psoriatic therapies in smokers, and smoking is a trigger factor for psoriasis. The aim of this study was therefore to analyse the response to systemic therapies for psoriasis, with a focus on smoking. Prospectively collected data from patients with moderate to severe psoriasis included in the national psoriasis registries for Germany and Switzerland (PsoBest and SDNTT) were analysed. Therapy response was defined as reaching a Psoriasis Area and Severity Index (PASI) reduction of 75%, PASI ≤ 3 or Dermatology Life Quality Index (DLQI) ≤ 1. Out of 5,346 patients included in these registries, 1,264 met the inclusion criteria for this study. In the smoking group, 715 (60.6%) reached therapy response at month 3, compared with 358 (63.7%) in the non-smoking group (p ≤ 0.269), 659 (74.1%) vs. 330 (77%) reached therapy response at month 6 (p ≤ 0.097), and 504 (76.6%) vs. 272 (79.0%) at month 12 (p ≤ 0.611). Therefore, these data do not show that smoking affects the response rate of anti-psoriatic therapy after 3, 6 and 12 months.

Physicians can treat psoriasis patients with several effective treatments, however the response is individual and even the most effective therapies do sometimes not lead to a success of treatment. Currently, possible genetic markers that can predict individual therapy response are investigated. Up to now 45 genes have been identified to be associated with psoriasis [1].