谷歌浏览器插件
订阅小程序
在清言上使用

Imaging and treatment patterns in newly-diagnosed patients with Crohn’s disease: analysis of a Japanese claims database

semanticscholar(2019)

引用 0|浏览1
暂无评分
摘要
Background: The biologics adalimumab, infliximab, and ustekinumab are approved to treat Crohn’s disease (CD) in Japan; they are recommended to induce/maintain remission in steroid-dependent/steroid-refractory CD. However, little is known about biologic use in real-world clinical practice, particularly in the initial treatment stage following endoscopic/radiographic diagnosis (intestinal inspection). Methods: This observational, retrospective, longitudinal cohort study assessed patients in the Japan Medical Data Center claims database who were diagnosed with CD from 2009–2019, and prescribed ≥ 1 biologic (adalimumab, infliximab, ustekinumab). Primary outcomes were type of first-line treatment prescribed on/within 6 months of first CD diagnosis, and time from first diagnosis to biologic introduction. Results: The study included 1346 patients with newly-diagnosed CD who were prescribed a biologic (adalimumab, n = 434; infliximab, n = 892; ustekinumab, n = 20). Most common first-line treatments were 5-aminosalicylic acid (5-ASA) monotherapy (26.8%), 5-ASA plus biologic (26.3%), and biologic monotherapy (12.9%). First-line steroids (monotherapy/in combination) were prescribed in 10.8% of patients. The first-line biologic prescription rate was lower in patients who had undergone intestinal inspection within 12 months before biologic introduction versus those who had not (5.3% vs 17.4% in monotherapy; 19.9% vs 65.4% in combination with other agents). Mean time from diagnosis to first biologic prescription was 4.1 months. Conclusions: The study demonstrated high use of biologics (particularly infliximab) and low use of steroids in initial treatment of Japanese patients with newly-diagnosed CD who received biologics during their treatment course. Biologic prescription was more common in patients who had not undergone prior intestinal inspection.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要