甲氨蝶呤治疗早期未用过DMARD的类风湿性关节炎的疗效预测:来自SWEFOT试验开放期初期的结果...

研究发现,当前吸烟、女性、较长病程及年轻患者使用甲氨蝶呤治疗早期类风湿性关节炎效果较差。多因素分析显示,这些参数与欧洲风湿病协会定义的良好疗效呈负相关。

原文

译文

Ann Rheum Dis. 2011 Mar;70(3):469-75. Epub 2010 Dec 13.

Predictors of response to methotrexate in early DMARD naive rheumatoid arthritis: results from the initial open-label phase of the SWEFOT trial.

Saevarsdottir S, Wallin H, Seddighzadeh M, Ernestam S, Geborek P, Petersson IF, Bratt J, van Vollenhoven RF; SWEFOT Trial Investigators Group.

Collaborators (14)

Cöster L, Waltbrand E, Zickert A, Theander J, Thörner Å, Hellström H, Teleman A, Dackhammar C, Akre F, Forslind K, Ljung L, Oding R, Chatzidionysiou K, Wörnert M.

Rheumatology Unit, Department of Medicine, Karolinska University Hospital, 17176 Stockholm, Sweden. saedis.saevarsdottir@karolinska.se

Abstract

OBJECTIVE: To identify predictors of response to methotrexate (MTX) in early rheumatoid arthritis (RA).

METHODS: In the SWEFOT trial, patients with RA with symptom duration <1 year started MTX monotherapy (20 mg/weekly) and 405/487 continued until the 3-4- month visit. The primary outcome measure was the DAS28-based European League against Rheumatism (EULAR) response criteria. Multivariate logistic regression was used to study the association between response and the following baseline characteristics: gender, age, symptom duration, cigarette smoking habits, autoantibody status, Health Assessment Questionnaire (HAQ) score, concurrent prednisolone and treatment with non-steroidal anti-inflammatory drugs. Secondary response and remission measures were the American College of Rheumatology and the Simple Disease Activity Index and Clinical Disease Activity Index (SDAI/CDAI)-derived criteria.

RESULTS: After 3-4 months of MTX treatment, the frequency of EULAR good/moderate/no response was 34%/41%/25%, respectively. Parameters associated with a decreased likelihood of EULAR response were female gender (adjusted OR (adj OR) 0.50, 95% CI 0.31 to 0.81), symptom duration (adj OR per month increase 0.93, 95% CI 0.88 to 0.99), current smoking (adj OR 0.35, 95% CI 0.20 to 0.63) and higher HAQ (adj OR 0.56, 95% CI 0.40 to 0.80). Parameters associated with an increased likelihood of EULAR response were higher age (adj OR per 10-year increase 1.30, 95% CI 1.11 to 1.51) and prednisolone treatment (adj OR 2.84, 95% CI 1.43 to 5.63). The findings were similar when patients on prednisolone were excluded and other response criteria tested, although current smoking was the only significant predictor using all response criteria, while HAQ was the only significant predictor of all the remission criteria used. A matrix showed up to ninefold differences between subgroups stratified by the main predictors.

CONCLUSION: Current smoking, female sex, longer symptom duration and younger age predict a worse response to MTX in patients with new-onset RA. TrialRegNo NCT00764725.

 

 

 

 

 

 

 

 

 

 

甲氨蝶呤治疗早期未用过DMARD的类风湿性关节炎的疗效预测:来自SWEFOT试验开放期初期的结果

Saevarsdottir S,et al.Ann Rheum Dis. 2011 Mar;70(3):469-75. Epub 2010 Dec 13.

目的:探索甲氨蝶呤对早期类风湿性关节炎的疗效预测因素。

方法: SWEFOT试验中,487例病程<1年的RA患者开始接受MTX单药治疗(20mg/), 405例持续随访至3-4月。主要观察终点为欧洲风湿病协会(EULAR)制定的DAS28。应用多因素回归分析疗效与基线水平特征的相关性,包括性别,年龄,病程,抽烟习惯,自身抗体水平,健康评估问卷(HAQ)积分,合并强的松龙和非甾体抗炎药的应用。次要终点和缓解评价指标为ACR和简化的疾病活动指数和临床疾病活动指数(SDAI/CDAI)衍化而来的标准。

 

结果:甲氨蝶呤治疗3-4月后,EULAR疗效好、中等和无效的比例分别为34%41%25%。与EULAR疗效差相关的参数为女性(校正OR 0.5095%CI 0.31-0.81)、病程(校正OR 每月增加0.93,95%CI 0.88-0.99)、当前吸烟(校正OR 0.3595%CI 0.20-0.63)以及高HAQ(校正OR 0.56, 95% CI 0.40 - 0.80)。与EULAR疗效较好相关的参数则为年长(校正 OR10年增加1.30, 95% CI 1.11 to 1.51)和强的松龙治疗(校正 OR 2.84, 95% CI 1.43 to 5.63)。排除强的松龙治疗的患者并用其他疗效标准进行测试,得出的结果也与此相似,然而只有当前抽烟是所有疗效标准中都一致的相关因素,而HAQ是所有缓解标准中都一致的相关因素。矩阵显示了按主要预测值分组后的9倍差异。

结论: 当前抽烟、女性、病程长、年纪轻是MTX治疗初发RA疗效差的预测指标。

 TrialRegNo NCT00764725.

 

转载于:https://www.cnblogs.com/T2T4RD/archive/2011/03/31/5464323.html

内容概要:本文系统介绍了算术优化算法(AOA)的基本原理、核心思想及Python实现方法,并通过图像分割的实际案例展示了其应用价值。AOA是一种基于种群的元启发式算法,其核心思想来源于四则运算,利用乘除运算进行全局勘探,加减运算进行局部开发,通过数学优化器加速函数(MOA)和数学优化概率(MOP)动态控制搜索过程,在全局探索与局部开发之间实现平衡。文章详细解析了算法的初始化、勘探与开发阶段的更新策略,并提供了完整的Python代码实现,结合Rastrigin函数进行测试验证。进一步地,以Flask框架搭建前后端分离系统,将AOA应用于图像分割任务,展示了其在实际工程中的可行性与高效性。最后,通过收敛速度、寻优精度等指标评估算法性能,并提出自适应参数调整、模型优化和并行计算等改进策略。; 适合人群:具备一定Python编程基础和优化算法基础知识的高校学生、科研人员及工程技术人员,尤其适合从事人工智能、图像处理、智能优化等领域的从业者;; 使用场景及目标:①理解元启发式算法的设计思想与实现机制;②掌握AOA在函数优化、图像分割等实际问题中的建模与求解方法;③学习如何将优化算法集成到Web系统中实现工程化应用;④为算法性能评估与改进提供实践参考; 阅读建议:建议读者结合代码逐行调试,深入理解算法流程中MOA与MOP的作用机制,尝试在不同测试函数上运行算法以观察性能差异,并可进一步扩展图像分割模块,引入更复杂的预处理或后处理技术以提升分割效果。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值