Chrome Extension
WeChat Mini Program
Use on ChatGLM

P927 Long-term Outcomes of Risankizumab in Crohn’s Disease: a Multicenter GETAID Study

JOURNAL OF CROHNS & COLITIS(2024)

Amiens Univ Hosp | Nancy Univ Hosp | Nice Univ Hosp | Montpellier Univ Hosp | St Etienne Univ Hosp | Inst MICI | Kremlin Bicetre | Lille Univ Hosp | Bordeaux Univ Hosp | Nantes Univ Hosp | Marseille Univ Hosp | Reims Univ Hosp | Nimes Univ Hosp | Clermont Ferrand Univ Hosp | Lyon Univ Hosp | Creteil Univ Hosp | Besancon Univ Hosp | Toulouse Univ Hosp | Limoges Univ Hosp | Instt Montsouris | St Antoine Hosp | Toulon Hosp | Roubaix Hosp | Creteil Ctr Hosp | Cochin Hosp | Dunkerque Hosp | GETAID

Cited 1|Views5
Abstract
Abstract Background Risankizumab is approved for moderate to severe Crohn’s disease (CD). The GETAID recently reported the real-world effectiveness of risankizumab as induction therapy for refractory CD. The aim of this study was to assess the long-term effectiveness and safety of risankizumab maintenance treatment in a large real-world cohort of patients with CD. Methods From May 2021 to August 2023, all consecutive CD patients treated with risankizumab in 25 GETAID centers have been retrospectively included. Only patients who received risankizumab 600 mg IV at week 0,4 and 8 as induction and SC 360 mg every 8 weeks as maintenance treatment were included. The primary outcome measure was steroid-free clinical remission (Harvey Bradshaw Index (HBI) <5) at week 52. Secondary outcomes included clinical response (≥ 3-point decrease of HB score and/or (HB) score < 5), endoscopic (no ulcers) and/or radiologic remission (normal intestinal ultra-sound or MRI), need for CD-related surgery, and adverse events. Results All patients had received at least three biologics and 108 (62%) had previous intestinal resection. Of the 174 patients included, 172 (99%), 162 (93%), and 167 (96%) had been previously exposed to anti-TNF, vedolizumab, and ustekinumab, respectively. Respectively 66 (38%) and 24 (14%) patients were on corticosteroids and immunosuppressants at risankizumab initiation. Median follow-up was 13.7 (10.0-18.1) months. The rates of steroid-free clinical remission and clinical remission at 52 weeks were 46% (60/131) and 50% (65/131), respectively. Absence/mild abdominal pain with normal stool frequency was observed in 48% (54/112) of patients at week 52. Among the 79 (45%) patients who had an endoscopic (n=67) and/or radiological (MRI, n=56 and IUS, n=15) evaluation during follow-up, response and remission were observed in 27 (34%) and 17 (22%) patients, respectively. Risankizumab persistence rates were 94%, 89%, and 79% at weeks 12, 26, and 52, respectively. At the end of follow-up, 45 (45/174, 26%) patients had discontinued risankizumab (loss of response, 42%; primary failure, 37%; intolerance, 13%). Thirty-six patients (36/174, 20.9%) were hospitalized and 22 (22/174, 12.6%) required intestinal resection. No factors were associated with steroid-free clinical remission at week 52. Twenty-five (14%) patients had an adverse event and 26 (15%) serious adverse events (CD flare, n=17). One death (myocardial infarction) and one cancer (papillary thyroid carcinoma) were observed. Conclusion This is the first real-life study to report long-term outcomes in patients with refractory CD treated with risankizumab. Half of the patients achieved steroid-free clinical remission after one year, and the safety profile was consistent with the literature.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined