Association of sex and systemic therapy treatment outcomes in psoriasis: a two-country, multicentre, prospective, noninterventional registry study.

BACKGROUND: Few systematic data on sex-related treatment responses exist for psoriasis. OBJECTIVES: To evaluate sex differences with respect to systemic antipsoriatic treatment. METHODS: Data from patients with moderate-to-severe psoriasis in the PsoBest or Swiss Dermatology Network of Targeted Therapies (SDNTT) registries were analysed. Treatment response was defined as achieving a ≥ 75% reduction in Psoriasis Area and Severity Index (PASI 75) or PASI ≤ 3 at treatment months 3, 6 and 12, supplemented by patient-reported outcomes [i.e. Dermatology Life Quality Index (DLQI) ≤ 1 and delta DLQI ≥ 4]. RESULTS: In total, 5346 patients registered between 2007 and 2016 were included (PsoBest, n = 4896; SDNTT, n = 450). The majority received nonbiological treatment (67·3% male, 69·8% female). Women showed slightly higher PASI response rates after 3 (54·8% vs. 47·2%; P ≤ 0·001), 6 (70·8% vs. 63·8%; P ≤ 0·001) and 12 months (72·3% vs. 66·1%; P ≤ 0·004). A significantly higher proportion of women achieved a reduction in DLQI ≥ 4 [month 3: 61·4% vs 54·8% (P ≤ 0·001); month 6: 69·6% vs. 62·4% (P ≤ 0·001); month 12: 70·7% vs. 64·4% (P ≤ 0·002)]. Regarding PASI ≤ 3, women on biologics showed a significantly superior treatment response compared with men at 3 (57·8% vs. 48·5%; P ≤ 0·004) and 6 months (69·2% vs. 60·9%; P ≤ 0·018). Women in the nonbiological treatment group had a significantly better treatment response (PASI response, PASI 75 and PASI ≤ 3) over 12 months compared with men. CONCLUSIONS: We provide evidence that women experience better treatment outcomes with systemic antipsoriatic therapy than men.

Regional variations in the use of statutory skin cancer screenings in Germany: population-based spatial multisource analysis.

BACKGROUND: Due to the increasing incidence of skin cancer, programmes for the prevention of skin cancer have been developed and implemented in Germany. However, utilization of skin cancer screenings shows marked regional differences. Reasons and predictors of such variations are unclear. OBJECTIVES: The objective of the study is to identify predictors for regional use of skin cancer screening variations in Germany. METHODS: Analysis of the population set of ambulatory claims data (2009-2015) of the statutory health insurances (SHI) in Germany (70.2 million people in 2015). Skin cancer screening utilization rate was determined on county level. Descriptive, cluster and multivariate analyses were performed to identify spatial patterns in skin cancer screening utilization. RESULTS: Overall, 6.5-7.9 million people participated in skin cancer screenings. Utilization rates of people ≥35 years of age were 9.74% (2009) and 10.96% (2015). Marked regional variations were identified between the counties. Dermatologists in Saxony and Westphalia-Lippe as well as general practitioners in Lower Saxony and North Rhine showed particularly high utilization rates. Multiple regression analyses demonstrated e.g. positive associations between the skin cancer screening utilization rates and employees with higher vocational qualifications and shorter travel time by car to the nearest major urban centre. CONCLUSION: Utilization rates of skin cancer screening vary largely in Germany with specific spatial patterns. Multivariate analyses demonstrate associations with socio-economic and geographical determinants. The results indicate the importance of health policy measures. These should be used in a more targeted manner in the regions in order to increase utilization of skin cancer screening.

Development and validation of a multivariable risk prediction model for serious infection in patients with psoriasis receiving systemic therapy.

BACKGROUND: Patients with psoriasis are often concerned about the risk of serious infection associated with systemic psoriasis treatments. OBJECTIVES: To develop and externally validate a prediction model for serious infection in patients with psoriasis within 1 year of starting systemic therapies. METHODS: The risk prediction model was developed using the British Association of Dermatologists Biologic Interventions Register (BADBIR), and the German Psoriasis Registry PsoBest was used as the validation dataset. Model discrimination and calibration were assessed internally and externally using the C-statistic, the calibration slope and the calibration in the large. RESULTS: Overall 175 (1·7%) out of 10 033 participants from BADBIR and 41 (1·7%) out of 2423 participants from PsoBest developed a serious infection within 1 year of therapy initiation. Selected predictors in a multiple logistic regression model included nine baseline covariates, and starting infliximab was the strongest predictor. Evaluation of model performance showed a bootstrap optimism-corrected C-statistic of 0·64 [95% confidence interval (CI) 0·60-0·69], calibration in the large of 0·02 (95% CI -0·14 to 0·17) and a calibration slope of 0·88 (95% CI 0·70-1·07), while external validation performance was poor, with C-statistic 0·52 (95% CI 0·42-0·62), calibration in the large 0·06 (95% CI -0·25 to 0·37) and calibration slope 0·36 (95% CI -0·24 to 0·97). CONCLUSIONS: We present the first results of the development of a multivariable prediction model. This model may help patients and dermatologists in the U.K. and the Republic of Ireland to identify modifiable risk factors and inform therapy choice in a shared decision-making process.

Gender and age significantly determine patient needs and treatment goals in psoriasis - a lesson for practice.

BACKGROUND: Though patient needs are key drivers of treatment decisions, they are rarely systematically investigated in routine care. OBJECTIVE: This study aimed at analysing needs and expectations from the patient perspective in the German and Swiss psoriasis registries PsoBest and Swiss Dermatology Network of Targeted Therapies (SDNTT) with respect to treatment choice, age and gender. METHODS: The German and Swiss psoriasis registries observe patients recruited at first-time use of systemic drugs. Within 10 years, clinical [Psoriasis Area Severity Index (PASI), Body Surface Area (BSA)] and patient-reported outcomes are documented, including the Dermatology Quality of Life Index (DLQI) and the Patient Benefit Index (PBI), characterizing patient needs for treatment. The analysis data set includes n = 4894 patients from PsoBest and n = 449 from SDNTT with mean follow-up time of 7.5 months. RESULTS: A total of 5343 patients registered between 2008 and 2016 were included in the analyses (at baseline: 59.6% male, mean age 47.6 years ± 14.5, PASI 14.2 ± 9.7, BSA 22.7 ± 19.7, DLQI 11.3 ± 7.2). The most important patient needs were to 'get better skin quickly' and to 'be healed of all skin defects'. Subgroup analyses by age revealed significant differences in needs, especially higher needs regarding social impairments in patients younger than 65 years. Patients 65 years or older attributed more importance to sleep quality, less dependency on medical visits, fewer side-effects and confidence in the therapy. Out of 25 items reflecting patient needs, 20 items were rated significantly more important by women than men, with the greatest differences regarding feeling of depression, sleep quality and everyday productivity. Divided by treatment, needs were rated differently, recommending individualized and targeted choice of therapy. CONCLUSION: Age and gender stratify patient needs. Women showed higher expectations and rated specific needs in psoriasis treatment higher than men. Analysing the patient needs on an individual level will facilitate shared decisions by patient and physician in finding the optimal personalized treatment.

Linkage between patients' characteristics and prescribed systemic treatments for psoriasis: a semantic connectivity map analysis of the Swiss Dermatology Network for Targeted Therapies registry.

BACKGROUND: Several treatment options are currently available for the treatment of psoriasis. OBJECTIVE: To explore the main associations between patients' characteristics and systemic treatments prescribed for psoriasis in a large group of patients observed in real-life clinical practice. METHODS: This was a retrospective analysis of baseline data collected within the Swiss Dermatology Network for Targeted Therapies registry in Switzerland between March 2011 and December 2017. Semantic map analysis was used in order to capture the best associations between variables taking into account other covariates in the system. RESULTS: A total of 549 patients (mean age 46.7 ± 14.7 years) were included in the analysis. Conventional therapies such as retinoids and methotrexate were associated with no previous systemic therapies for psoriasis, a moderate quality of life (QoL) at therapy onset and older age (≥60 years). Fumaric acid derivatives were associated with mild psoriasis (psoriasis area severity index < 10) and long disease duration (≥20 years). On the other side, cyclosporine and psoralen and ultraviolet A/ultraviolet B treatments were linked to a more severe condition, including impaired QoL, hospitalization and inability to work. Regarding biological therapies, both infliximab and adalimumab were connected to the presence of psoriatic arthritis, severe disease condition and other comorbidities, including chronic liver or kidney diseases and tuberculosis. Etanercept, ustekinumab and secukinumab were all connected to a complex history of previous systemic treatments for psoriasis, moderate disease condition, overweight and university education. CONCLUSIONS: The analysis shows multifaceted associations between patients' characteristics, comorbidities, disease severity and systemic treatments prescribed for psoriasis. In particular, our semantic map indicates that comorbidities play a central role in decision-making of systemic treatments usage for psoriasis. Future studies should further investigate specific connections emerging from our data.

Epidemiology of skin cancer in the German population: impact of socioeconomic and geographic factors.

BACKGROUND: Skin cancer being the most common cancer in Germany has shown increasing incidence in the past decade. Since mostly caused by excessive UV exposure, skin cancer is largely related to behaviour. So far, the impact of regional and sociodemographic factors on the development of skin cancer in Germany is unclear. OBJECTIVES: This study aimed to investigate the association of potential predictive factors with the prevalence of skin cancers in Germany. METHODS: Nationwide ambulatory care claims data from persons insured in statutory health insurances (SHI) with malignant melanoma (MM, ICD-10 C43) and non-melanocytic skin cancer (NMSC, ICD-10 C44) in the years 2009-2015 were analysed. In addition, sociodemographic population data and satellite-based UV and solar radiation data were associated. Descriptive and multivariate (spatial) statistical analyses (e.g. Bayes' smoothing) were conducted on county level. RESULTS: Data from 70.1 million insured persons were analysed. Age-standardized prevalences per 100 000 SHI insured persons for MM and NMSC were 284.7 and 1126.9 in 2009 and 378.5 and 1708.2 in 2015. Marked regional variations were observed with prevalences between 32.9% and 51.6%. Multivariate analysis shows among others statistically significant positive correlations between higher income and education, and MM/NMSC prevalence. CONCLUSION: Prevalence of MM and NMSC in Germany shows spatio-temporal dynamics. Our results demonstrate that regional UV radiation, sunshine hours and sociodemographic factors have significant impact on skin cancer prevalence in Germany. Individual behaviour obviously is a major determinant which should be subject to preventive interventions.