Literature DB >> 35263743

Secukinumab Drug Survival in Psoriasis and Psoriatic Arthritis Patients: A 24-Month Real-Life Study.

Augusta Ortolan1, Mariagrazia Lorenzin1, Giovanni Leo1,2, Francesca Pampaloni2, Francesco Messina2, Andrea Doria1, Stefano Piaserico2, Roberta Ramonda1.   

Abstract

BACKGROUND: Secukinumab effectiveness has been demonstrated in both psoriasis (PsO) and psoriatic arthritis (PsA). However, it is unknown whether patients with arthritis may carry a risk factor for withdrawal.
OBJECTIVE: To identify predictors of secukinumab survival, including the presence of arthritis, in PsO and PsA.
METHODS: Consecutive PsO and PsA patients initiating secukinumab were enrolled and followed up every 6 months, up to 24 months or discontinuation. Medical history, disease activity indices and body mass index (BMI) were collected. Kaplan-Meier curves and log-rank test were used to analyze differences in drug survival according to sex, BMI, biological therapy line in the whole population (psoriatic disease), and separately for PsO/PsA. A multivariable Cox regression model was built to assess whether presence of arthritis (main independent variable) may influence drug survival by having time to secukinumab discontinuation as outcome. Results were expressed as hazard ratio and 95% confidence interval.
RESULTS: Sixty-two PsO and 90 PsA patients were enrolled. Retention rate at 12 and 24 months, respectively, was 85% and 61% for PsO and 68% and 57% for PsA. In the whole population, naïve patients had a higher chance of drug survival (log-rank = 4.06; p = 0.04); in PsA, obese patients had a significantly higher chance to discontinue secukinumab (log-rank = 5.25; p = 0.021). The multivariable Cox regression showed that arthritis was independently associated with a higher risk of secukinumab discontinuation (hazard ratio 2.43; 95% confidence interval 1.06-5.55, p = 0.035) after adjusting for age, sex, gender, BMI, therapy line and PsO severity at baseline.
CONCLUSIONS: Our data confirmed a very good response to secukinumab in both PsO and PsA patients. However, presence of arthritis might affect drug survival.
© 2022 S. Karger AG, Basel.

Entities:  

Keywords:  Anti-interleukin-17; Psoriasis; Psoriatic arthritis; Secukinumab; Survival

Mesh:

Substances:

Year:  2022        PMID: 35263743     DOI: 10.1159/000522008

Source DB:  PubMed          Journal:  Dermatology        ISSN: 1018-8665            Impact factor:   5.197


  1 in total

1.  A Machine Learning Approach to Predict Remission in Patients With Psoriatic Arthritis on Treatment With Secukinumab.

Authors:  Vincenzo Venerito; Giuseppe Lopalco; Anna Abbruzzese; Sergio Colella; Maria Morrone; Sabina Tangaro; Florenzo Iannone
Journal:  Front Immunol       Date:  2022-06-27       Impact factor: 8.786

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.