Frequency and predictors of a high clinical response in patients with psoriasis on biological therapy in daily practice: results from the prospective, multicenter BioCAPTURE cohort.

BACKGROUND: It is important to assess which patients with psoriasis are more likely to achieve high clinical responses on biologics. OBJECTIVES: To assess the number of treatment episodes (TEs) that achieve a 100% improvement in Psoriasis Area and Severity Index (PASI 100), PASI 90 or PASI ≤ 5 at week 24 of biological treatment, and which baseline patient characteristics predict treatment response. METHODS: Data from patients with psoriasis treated with adalimumab, etanercept, infliximab or ustekinumab were extracted from a prospective cohort. TEs with high clinical responses were described. Uni- and multivariate regression analyses were performed with the generalized estimating equation method to elucidate which baseline patient characteristics were predictors for PASI 90 and PASI ≤ 5 at week 24. RESULTS: In total, 454 TEs were extracted (159 adalimumab; 193 etanercept; 19 infliximab; 83 ustekinumab) from 326 patients. At week 24, in 3%, 15% and 59% of TEs, respectively, PASI 100, PASI 90 and PASI ≤ 5 was reached. In TEs without a PASI 100 or PASI 90 response, PASI ≤ 5 was still achieved in 58% and 52%, respectively. Baseline PASI ≥ 10 was a strong predictor for achieving PASI 90; baseline PASI < 10 and a lower baseline body mass index (BMI) were significant predictors for PASI ≤ 5 at week 24. CONCLUSIONS: A limited number of patients achieved PASI 100 or PASI 90 at 24 weeks of biological treatment. Including an absolute PASI score in the assessment of psoriasis severity is important. Baseline BMI was an important, modifiable predictor for a high response.

Body mass index predicts discontinuation due to ineffectiveness and female sex predicts discontinuation due to side-effects in patients with psoriasis treated with adalimumab, etanercept or ustekinumab in daily practice: a prospective, comparative, long-term drug-survival study from the BioCAPTURE registry.

BACKGROUND: Predictors for successful treatment are important for personalized medicine. Predictors for drug survival of biologics in psoriasis have been assessed, but not split for different biologics or for the reason of discontinuation. OBJECTIVES: To compare long-term drug survival between the outpatient biologics adalimumab, etanercept and ustekinumab in patients with psoriasis, and to elucidate predictors for overall survival and drug discontinuation due to ineffectiveness and side-effects for each biologic separately. METHODS: Ten years of data were extracted from the prospective, multicentre, long-term BioCAPTURE registry. Kaplan-Meier survival analyses and confounder-corrected multivariate Cox regression analysis for drug survival (MCR-DS) were performed to compare drug survival between biologics. To elucidate the predictors for different reasons of discontinuation for each biologic, univariate Cox regression analyses and multivariate Cox regression analyses for predictors (MCR-P) with backward selection were performed. RESULTS: In total, 526 treatment episodes - 186 adalimumab, 238 etanercept and 102 ustekinumab - were included covering 1333 treatment years. MCR-DS showed a significantly higher overall survival for ustekinumab compared with adalimumab and etanercept. MCR-P showed that higher body mass index (BMI) was a predictor for discontinuation due to ineffectiveness for etanercept and ustekinumab and that female sex was a predictor for discontinuation due to side-effects for adalimumab, etanercept and ustekinumab. CONCLUSIONS: Ustekinumab has the highest confounder-corrected long-term drug survival in psoriasis treatment, compared with adalimumab and etanercept. Higher BMI is a predictor for discontinuation due to ineffectiveness in etanercept and ustekinumab, and female sex is a consistent predictor for discontinuation due to side-effects in all three outpatient biologics.