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比较 2019 年欧洲风湿病学会联盟/美国风湿病学会系统性红斑狼疮分类标准与两套早期系统性红斑狼疮分类标准。

Comparison of the 2019 European Alliance of Associations for Rheumatology/American College of Rheumatology Systemic Lupus Erythematosus Classification Criteria With Two Sets of Earlier Systemic Lupus Erythematosus Classification Criteria.

机构信息

Johns Hopkins University, Baltimore, Maryland.

University of Alabama at Birmingham.

出版信息

Arthritis Care Res (Hoboken). 2021 Sep;73(9):1231-1235. doi: 10.1002/acr.24263. Epub 2021 Jul 14.

DOI:10.1002/acr.24263
PMID:32433832
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10711744/
Abstract

OBJECTIVE

The Systemic Lupus International Collaborating Clinics (SLICC) 2012 systemic lupus erythematosus (SLE) classification criteria and the revised American College of Rheumatology (ACR) 1997 criteria are list based, counting each SLE manifestation equally. We derived a classification rule based on giving variable weights to the SLICC criteria and compared its performance to the revised ACR 1997, the unweighted SLICC 2012, and the newly reported European Alliance of Associations for Rheumatology (EULAR)/ACR 2019 criteria sets.

METHODS

The physician-rated patient scenarios used to develop the SLICC 2012 classification criteria were reemployed to devise a new weighted classification rule using multiple linear regression. The performance of the rule was evaluated on an independent set of expert-diagnosed patient scenarios and compared to the performance of the previously reported classification rules.

RESULTS

The weighted SLICC criteria and the EULAR/ACR 2019 criteria had less sensitivity but better specificity compared to the list-based revised ACR 1997 and SLICC 2012 classification criteria. There were no statistically significant differences between any pair of rules with respect to overall agreement with the physician diagnosis.

CONCLUSION

The 2 new weighted classification rules did not perform better than the existing list-based rules in terms of overall agreement on a data set originally generated to assess the SLICC criteria. Given the added complexity of summing weights, researchers may prefer the unweighted SLICC criteria. However, the performance of a classification rule will always depend on the populations from which the cases and non-cases are derived and whether the goal is to prioritize sensitivity or specificity.

摘要

目的

系统性红斑狼疮国际协作组(SLICC)2012 年系统性红斑狼疮(SLE)分类标准和修订后的美国风湿病学会(ACR)1997 标准都是基于列表的,平等地计算每种 SLE 表现。我们基于对 SLICC 标准赋予可变权重,得出了一个分类规则,并将其与修订后的 ACR 1997、未加权的 SLICC 2012 和新报告的欧洲风湿病联盟/ACR 2019 标准进行了比较。

方法

重新使用开发 SLICC 2012 分类标准的医生评分患者情况来设计新的加权分类规则,使用多元线性回归。该规则的性能在一组独立的专家诊断患者情况下进行评估,并与以前报告的分类规则进行比较。

结果

与基于列表的修订后的 ACR 1997 和 SLICC 2012 分类标准相比,加权 SLICC 标准和 EULAR/ACR 2019 标准的敏感性较低,但特异性较好。在与医生诊断的总体一致性方面,任何一对规则之间没有统计学上的显著差异。

结论

在最初用于评估 SLICC 标准的数据集上,这 2 个新的加权分类规则在与现有基于列表的规则相比,在总体一致性方面并没有表现得更好。鉴于求和权重的复杂性,研究人员可能更倾向于使用未加权的 SLICC 标准。然而,分类规则的性能将始终取决于病例和非病例来源的人群,以及目标是优先考虑敏感性还是特异性。

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