Title: POS0604 JAKi’S SURVIVAL RATE AND PREDICTORS OF DISCONTINUATION IN A COHORT OF PATIENTS WITH RHEUMATOID ARTHRITIS
Abstract: <h3>Background:</h3> After the publication of the ORAL Surveillance trial<sup>1</sup>, the European Medical Agency (EMA) recently recommended prescribing JAK inhibitors (JAKi) in patients with rheumatoid arthritis (RA) only after an adequate risk/benefit assessment. Indeed, according to EMA recommendations, patients ≥65 year-old, former or current smokers, at high risk of developing major cardiovascular events (MACEs), thromboembolic events or cancers should receive JAKi only when other treatments, such as TNF-inhibitors, are not appropriate. Unlike randomised controlled trials, real-world data seem to be reassuring promising and, in fact, the prescription rate of JAKi has dramatically risen in the last years. <h3>Objectives:</h3> The primary objective was to assess whether being at high risk according to EMA recommendations can impact JAKi's discontinuation rate. The secondary aim was to find out other possible predictors of JAKi's discontinuation. <h3>Methods:</h3> This was a retrospective Italian study carried out in 22 Italian centres since 2017. All patients with RA on treatment with JAKi were included in the dataset. This cohort was subdivided into two groups: "high risk patients" and "low risk" according to EMA recommendations. The first group included patients ≥65 year-old, past or current smokers and having at least one cardiovascular or neoplastic comorbidity. The following variables were collected at baseline: sex, age, disease duration (years), smoking habit, BMI, comorbidities (diabetes, hypertension, dyslipidaemia, cancer, previous MACEs), positive RF/ACPA, associated conventional DMARDs, concomitant use of prednisone and dosage (mg/day), previous use of JAKi, discontinuation reasons, time to discontinuation (days), b/tsDMARDS naïve patients, DAS28-ESR at baseline. <h3>Results:</h3> A total of 693 patients were enrolled. 48 patients were excluded due to missing data. Overall features of our cohort are summarised in Table 1 (N=645). 372 (57.7%) patients received baricitinib, 135 (20.9%) tofacitinib, 86 (13.3%) upadacitinib and 52 (8.11%) filgotinib. 21 (3.2%). 141 (21.9%) patients discontinued JAKi after a median time of 366 days (IQR 155-914). "High-risk patients according to EMA" were the majority of our cohort (n=384, 59.5%) vs 261 "low-risk patients" (40.5%). Reasons for discontinuation were primary inefficacy (n=48, 7.4%), secondary inefficacy (n=25, 3.9%), infections (n=8, 1.2%), pulmonary embolism/deep venous thrombosis (n=6, 0.9%), cancer (n=5, 0.8%), deaths (n=2, 0.3%), and other causes (n=21, 3.3%) including remission status in 1 patient. Notably, VZV infection determined JAKi's withdrawal in 3 patients and pulmonary embolism/deep venous thrombosis in 6 patients (all treated with baricitinib). At multivariate stepwise Cox analysis, predictors of discontinuation were: prednisone dosage [Hazard Ratio -(HR)- 1.1, 95% confidence interval- (CI)- 1.05-1.17], use of selective JAKis(HR 4.1, 95% CI 1.80-9.10), and absence of RF/ACPA (HR 0.46, 95% CI 0.26-0.83). Finally, being classified as "high risk" according to EMA was not statistically associated with JAKIs' withdrawal (HR 1.96, 95% CI 0.96-4-01). <h3>Conclusion:</h3> Our study shows that only a minority of patients discontinued JAKi (21.9%). Notably, among discontinuation's causes, no MACE's were found. Being classified at "high-risk" according to EMA was not associated with JAKi's discontinuation. Conversely, higher prednisone dosages, treatment with selective JAKi and absence of RF/ACPA were predictors of JAKi's withdrawal. <h3>REFERENCES:</h3> [1] Ytterberg SR, et al. Cardiovascular and cancer risk with tofacitinib in rheumatoid arthritis. New Engl J Med 2022;386(4):316-326. <h3>Acknowledgements:</h3> <b>NIL.</b> <h3>Disclosure of Interests:</h3> Maddalena Larosa UCB, ABBVIE, AMGEN, Andrea Becciolini: None declared, Simone Parisi: None declared, Eleonora Di Donato: None declared, Dario Camellino Astrazeneca, Boerhringer INgelheim, GSK, Janssen, Giuditta Adorni: None declared, Gianluca Lucchini: None declared, Daniele Santilli: None declared, Enrico Fusaro: None declared, Maria Chiara Ditto: None declared, Alberto Lo Gullo: None declared, Marino Paroli: None declared, Rosalba Caccavale: None declared, Alessandro Volpe: None declared, Antonio Marchetta: None declared, Bernd Raffeiner: None declared, Eleonora Celletti: None declared, Myriam Di Penta: None declared, Emanuela Sabatini: None declared, Francesco Cipollone: None declared, Massimo Reta: None declared, Olga Addimanda: None declared, Mirco Magnani: None declared, Elisa Visalli: None declared, Rosario Foti: None declared, Giorgio Amato: None declared, Francesco De Lucia: None declared, Roberta Foti: None declared, Antonella Farina: None declared, Francesco Girelli: None declared, Simone Bernardi: None declared, Matteo Colina: None declared, Romina Andracco: None declared, Natalia Mansueto: None declared, Giulio Ferrero: None declared, Patrizia Del Medico: None declared, Aldo Molica Colella: None declared, Veronica Franchina: None declared, Francesco Molica Colella: None declared, Federica Lumetti: None declared, Gilda Sandri: None declared, Carlo Salvarani: None declared, Dilia Giuggioli: None declared, Marta Priora: None declared, Francesca Serale: None declared, Aurora Ianniello: None declared, Valeria Nucera: None declared, Francesca Ometto: None declared, Cecilia Giampietro: None declared, Elena Bravi: None declared, Ilaria Platè: None declared, Eugenio Arrigoni: None declared, Fabio Mascella: None declared, Maria Cristina Focherini: None declared, Alessandra Bezzi: None declared, Palma Scolieri: None declared, Vincenzo Bruzzese: None declared, Viviana Ravagnani: None declared, Guido Rovera: None declared, Alessia Fiorenza: None declared, Rosetta Vitetta: None declared, Alarico Ariani Amgen, Janssen.
Publication Year: 2024
Publication Date: 2024-06-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot