ASAS-CoMoSpA研究:
评价SpA不同分类标准的表现

EULAR2015; PresentID:
OP0037

THE PERFORMANCE OF
DIFFERENT CLASSIFICATION CRITERIA SETS FOR SPONDYLOARTHRITIS IN THE
ASAS-COMOSpA STUDY

P. Bakker1,*, A.
Moltó2, A. Etcheto3, R. van den
Berg1, F. van Gaalen1, F. van den
Bosch4, R. Landewé5, M. Dougados2,
D. van der Heijde1

1LUMC, Leiden,
Netherlands, 2René Descartes University,
3INSERM (U1153): Clinical Epidemiology and
Biostatistics, Paris, France, 4Ghent University
Hospital, Ghent, Belgium, 5AMC, Amsterdam,
Netherlands

Background:
Spondyloarthritis (SpA) includes patients with (predominantly)
axial spondyloarthritis (axSpA) and patients with (predominantly)
peripheral spondyloarthritis (pSpA) including psoriatic arthritis
(PsA). Over time, several classification criteria sets have been
developed to cover the whole spectrum of
SpA.

Objectives: To
compare the performance of different SpA classification criteria
sets in the ASAS-COMOSpA study.

Methods: The
ASAS-COMOSpA study is an international, cross-sectional study.
Patients clinically diagnosed with SpA by the rheumatologist were
included consecutively via routine care. For this analysis,
patients were classified according to the ESSG, AMOR, mESSG
(addition of MRI), mAMOR (addition of MRI), CASpAR and ASAS
criteria for axSpA and pSpA.

Results: From
5 continents, 22 participating countries included 3984 patients:
age 44 ± 14 years, 65% male gender, 56.2% HLA-B27+, psoriasis:
21.4%, uveitis: 19.6%, peripheral arthritis: 61.5%, mNY+ 64.4%,
sacroiliitis on MRI (ASAS definition): 33.6%, negative rheumatoid
factor (RF): 80.6%.  Patients with up to 6 missing
values were included (missing values set as absent); patients with
≥7 variables missing were left out of the analysis. Most common
missing variables: MRI of the sacroiliac joints (ASAS definition;
MRI-SI) (n=1951), juxta-articular bone formation (n=999), HLA-B27
(n=907), good response to NSAIDs (n=803), RF (n=613), radiographic
sacroiliitis (n=341). Patients were classified according to the
different classification criteria sets (table): data shown for all
patients (left) and for patients with complete data regarding
presence/absence of (radiographic/MRI) sacroiliitis and HLA-B27
(right). In addition, the overlap between the different
classification criteria sets was assessed for patients with back
pain and patients without back pain. The majority (of the patients)
was classified by AMOR & ESSG & ASAS axSpA-criteria
(n=1068). Most of the patients that were picked up by 1 criteria
set only were classified by the ASAS axSpA-criteria (n=141; n=27 by
AMOR and n=25 by ESSG). Similar trends were seen with regard to the
mESSG and mAMOR-criteria. Regarding the patients with no back pain
(peripheral complaints): again substantial overlap between the
criteria was seen (ASAS pSpA, AMOR, ESSG, CASpAR. Patients
fulfilling  the imaging arm of the ASAS
axSpA-criteria did not differ from patients fulfilling the clinical
arm regarding the presence of most of the SpA-features. However,
there were some notable differences: male gender (57.1% versus
62.8%), uveitis (13.3% versus 29.9%) and elevated CRP (52.0% versus
42.7%), imaging resp. clinical arm.

Conclusions:
In this worldwide ASAS-COMOSpA study including established patients
with SpA according to the rheumatologist, most patients fulfil
several classification criteria sets; the biggest overlap between
AMOR, ESSG and ASAS SpA. If patients fulfil only 1 criteria set
this is most frequently the ASAS axSpA-criteria. Patients
fulfilling the imaging arm or the clinical arm are comparable
regarding most disease
characteristics.

背景:
SpA包括中轴SpA(axSpA)和外周SpA(pSpA), 后者包括银屑病关节炎(PsA)。随着时间推移,
已开发了多种分类标准以涵盖SpA整个疾病谱。

目标:
在ASAS-COMOSpA研究中评价SpA不同分类标准的表现。

方法:
ASAS-COMOSpA研究是一项国际性的横断面研究。入组患者是由风湿病医师在常规诊疗中顺序收治并诊断为SpA的病人。本研究所要比较的分类标准包括ESSG、AMOR、mESSG(增加MRI条目)、mAMOR(增加MRI条目),
CASpAR和ASAS标准(axSpA和pSpA)。

结果:
五大洲22个国家共纳入3984例患者, 年龄44±14岁, 65%男性, 56.2% HLA-B27阳性, 银屑病21.4%,
葡萄膜炎19.6%, 外周关节炎61.5%, 符合mNY标准64.4%, MRI骶髂关节炎(ASAS定义)阳性33.6%,
RF阴性80.6%。缺失值≤6个的患者进入分析集(缺失值计做0), 有≥7个变量存在缺失值的患者不进入分析集。最常见缺失的变量:
MRI骶髂关节(ASAS定义, MRI-SI, n=1951), 关节旁骨形成(n=999), HLA-B27(n=907),
NSAIDs反应良好(n=803), RF(n=613), 放射学骶髂关节炎(n=341)。

根据不同的分类标准对患者进行分类(参见表), 表左侧是所有患者,
表右侧是所有能提供骶髂关节炎(放射学/MRI)和HLA-B27数据的患者。此外,
对有背痛和无背痛的患者分析不同分类标准的重叠情况。

大部分患者能够按照AMOR、ESSG和
ASAS-axSpA分类标准进行分类(n=1068,
参见图)。只能被某种分类标准所识别的患者中符合ASAS-axSpA标准的占了绝大多数(n=141;只符合AMOR或ESSG的分别有27例和25例)。换用mESSG和mAMOR标准也可见到这种趋势。在无背痛(但有外周关节受累)的患者中,
再次看到不同分类标准间的显著重叠(ASAS
pSpA、AMOR、ESSG和CASpAR)。就SpA提示体征而言,符合ASAS-axSpA影像支分类标准的患者与符合临床支标准的患者之间无明显差别。然而,
影像支和临床支患者也有一些显著差异: 男性比例(57.1% vs 62.8%), 葡萄膜炎发生率(13.3% vs 29.9%),
CRP升高(52.0% vs 42.7%)。

结论:
国际性ASAS-CoMoSpA研究纳入风湿病医生确诊的SpA患者,
大部分患者符合各种分类标准;AMOR、ESSG和ASAS-SpA分类标准具有最广泛的重叠。如果患者仅符合1种标准,
ASAS-axSpA标准是适用性最广泛的。影像支和临床支患者大多数疾病特征都具有可比性。

表.

图. [译注:
拍摄自会议现场]

最新文章

  1. 08-FPGA状态机设计实例——小梅哥FPGA设计思想与验证方法视频教程配套文档
  2. Using LINQ to SharePoint
  3. Python第一课
  4. MySQL单列索引和组合索引的区别介绍
  5. ORACLE SEQUENCE跳号总结
  6. LINQ学习系列-----2.3 迭代器带来的延迟查询
  7. 【BZOJ1006】神奇的国度(弦图)
  8. 剑指Offer——知识点储备-故障检测、性能调优与Java类加载机制
  9. Node的express配置使用ejs模板
  10. Dubbo 入门学习笔记
  11. MUI手势锁
  12. 《JAVA编程思想》第四版 PDF
  13. 5种PHP创建数组的方式
  14. JQuery EasyUI DataGrid获取当前行
  15. ORACLE中使用DBMS_RANDOM去产生随机数
  16. 12.double的int方
  17. python运算符&优先性
  18. TMS320VC5509使用nof flash AM29LV400
  19. OpenSSL编程
  20. eclipse使用小技巧

热门文章

  1. docker部署项目
  2. 跟我学Python图像处理丨带你入门OpenGL
  3. 文件压缩和vi编辑器
  4. cs231n__3. LostFunction
  5. Error: Could not get apiVersions from Kubernetes
  6. 【转载】SQL Server FileStream 体验
  7. [C#]C++/CLI中interior_ptr和pin_ptr的区别
  8. Educational Codeforces Round 33 (Rated for Div. 2) 虚拟赛体验
  9. [0]为什么是SpinalHDL-Spinal简介
  10. (18)go-micro微服务ELK介绍