Prediction of a major clinical response (BASDAI 50) to tumour necrosis factor blockers in ankylosing spondylitis

巴斯代人 巴斯菲 医学 强直性脊柱炎 内科学 依那西普 单变量分析 英夫利昔单抗 物理疗法 多元分析 疾病 肿瘤坏死因子α 银屑病性关节炎
作者
Martín Rudwaleit
出处
期刊:Annals of the Rheumatic Diseases [BMJ]
卷期号:63 (6): 665-670 被引量:424
标识
DOI:10.1136/ard.2003.016386
摘要

Background: TNFα blockers have been shown to be highly efficacious in patients with active ankylosing spondylitis (AS). Objective: To identify parameters predicting the clinical response to TNF blockers in AS. Methods: Patients with active AS participated in two placebo controlled, randomised trials conducted in Germany with infliximab (n = 69) and etanercept (n = 30), respectively. For inclusion in either trial patients had to have high disease activity (BASDAI ⩾4) and a spinal pain score (numerical rating scale 0–10) ⩾4 despite treatment with NSAIDs. A major clinical response was defined as a 50% improvement of the initial BASDAI (BASDAI 50) after 12 weeks' treatment with active drug. Logistic regression likelihood ratio tests (univariate and multivariate), Student's t test, and χ2 tests were performed. Results: Univariate analysis showed the following to be predictors of a major response (BASDAI 50) to treatment: shorter disease duration (p = 0.003); lower BASFI (p = 0.007); younger age (p = 0.009); raised ESR (p = 0.033); raised CRP (p = 0.035). After adjustment for disease duration, BASFI, ESR, and CRP, but not age, remained significantly associated. After adjustment for disease duration and for BASFI, ESR, CRP, and in addition, a higher BASDAI were significantly associated with response. The best multivariate model built by stepwise regression contained the covariables disease duration, BASFI, BASDAI, and CRP. Conclusion: A shorter disease duration, younger age, and a lower BASFI are predictors of a major clinical response to TNF blockers in active AS. Raised CRP and a higher BASDAI may also be valuable predictors. These data need to be confirmed in further studies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
sg发布了新的文献求助20
刚刚
阔阔完成签到,获得积分10
刚刚
一颗饭团发布了新的文献求助10
1秒前
guan发布了新的文献求助10
2秒前
华仔应助EED采纳,获得10
4秒前
爱过我如果完成签到,获得积分10
6秒前
一颗饭团完成签到,获得积分10
7秒前
8秒前
小蘑菇应助别偷我增肌粉采纳,获得10
8秒前
夏夜发布了新的文献求助10
8秒前
9秒前
9秒前
田様应助夕音采纳,获得10
9秒前
淡然老头完成签到 ,获得积分10
9秒前
今后应助guan采纳,获得10
10秒前
11秒前
Jeo驳回了小蘑菇应助
11秒前
11秒前
11秒前
11秒前
ASPANISH完成签到,获得积分10
11秒前
苹果发布了新的文献求助10
12秒前
酷波er应助犹豫丹彤采纳,获得10
15秒前
gsx发布了新的文献求助10
15秒前
17秒前
虚幻浩宇发布了新的文献求助10
17秒前
17秒前
17秒前
传奇3应助受伤的小松鼠采纳,获得10
17秒前
Hungrylunch应助机灵飞珍采纳,获得20
18秒前
半山完成签到,获得积分10
19秒前
思源应助12采纳,获得10
20秒前
20秒前
叶长亭完成签到,获得积分10
21秒前
袁上卿发布了新的文献求助10
21秒前
刘不器发布了新的文献求助10
22秒前
完美世界应助zyp采纳,获得10
23秒前
苹果完成签到,获得积分10
24秒前
24秒前
24秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3488999
求助须知:如何正确求助?哪些是违规求助? 3076463
关于积分的说明 9145401
捐赠科研通 2768731
什么是DOI,文献DOI怎么找? 1519357
邀请新用户注册赠送积分活动 703805
科研通“疑难数据库(出版商)”最低求助积分说明 702009