[系统性红斑狼疮分类标准三种变体在俄罗斯患者群中的敏感性和特异性比较评估]。

IF 2.4 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
T M Reshetnyak, T A Lisitsyna, F A Cheldieva, A A Shumilova, S I Glukhova, M N Starovoytova, N V Seredavkina, O V Desinova, Z G Verizhnikova, E L Nasonov
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引用次数: 0

摘要

背景:系统性红斑狼疮(SLE)的临床和血清学异质性给诊断带来了挑战,尤其是在疾病的早期阶段,因为没有足够的体征来做出可靠的诊断。目的:对纳索诺娃风湿病学研究所的一组患者进行系统性红斑狼疮各种分类标准的敏感性和特异性的比较评估:研究共纳入了 252 名患者,其中 152 人(60%)患有可靠的系统性红斑狼疮(平均年龄 36 [29.5-46] 岁,病程 9 [3.4-19] 年)。在 252 名患者中,26 人(11%)患有 PAPS(平均年龄 36.5 [31-42] 岁,病程 4.6 [1-10.4] 年)。74/252(29%)名患者被诊断出患有系统性硬化症(平均年龄 51.5 [42-59] 岁,病程 9 [5-16] 年)。通过 ROC 分析评估了标准分类功能的质量:采用美国风湿病学会(ACR)-1997年标准,152名患者中有131人(86%)被诊断为系统性红斑狼疮;采用系统性红斑狼疮国际合作诊所(SLICC)2012年标准,145人(95%)被诊断为系统性红斑狼疮;采用欧洲抗风湿联盟(EULAR)/ACR 2019年标准,144人(94.7%)被诊断为系统性红斑狼疮。在与系统性红斑狼疮诊断相关的所有体征中,ANF阳性的统计学意义最小。ANF≥1/160 滴度的曲线下面积(AUC)在 ACR-97 标准中为 AUC 0.654,在 SLICC-12 系统性红斑狼疮标准中为 AUC 0.616,在 2019 EULAR/ACR 标准中为 AUC 0.609。对标准/点数与系统性红斑狼疮可靠诊断之间关系的 ROC 分析表明,诊断准确率很高--所有系统性红斑狼疮标准的 AUC 均大于 0.940。在对系统性红斑狼疮和 PAFS 患者进行的 ROC 分析中,以诊断标准数量为指标,ACR-1997 的灵敏度为 86%,SLICC-2012 为 95%,EULAR/ACR 2019 为 95%,特异性分别为 100%、62% 和 62%:结论:在俄罗斯人群中,SLICC-2012 和 EULAR/ACR 2019 分类标准对系统性红斑狼疮的诊断更为敏感,而 ACR-1997 标准则更具特异性。这三种系统性红斑狼疮分类标准都有足够的灵敏度和特异性,可以在实际临床实践中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Comparative assessment of sensitivity and specificity of three variants of classification criteria for systemic lupus erythematosus in a cohort of Russian patients].

Background: The clinical and serologic heterogeneity of systemic lupus erythematosus (SLE) presents challenges for diagnosis, particularly in the earliest stages of the disease when there are insufficient signs to make a reliable diagnosis.

Aim: To make a comparative assessment of sensitivity and specificity of various classification criteria of SLE on a cohort of patients of Nasonova Research Institute of Rheumatology.

Materials and methods: A total of 252 patients were included in the study; 152 (60%) of 252 patients had reliable SLE (mean age 36 [29.5-46] years, duration of disease 9 [3.4-19] years). Of 252 patients, 26 (11%) had PAPS (mean age 36.5 [31-42] years, duration of disease 4.6 [1-10.4] years). Systemic sclerosis was diagnosed in 74/252 (29%) patients, (mean age 51.5 [42-59] years, duration of disease 9 [5-16] years). The quality of the classification function of the criteria was assessed by ROC analysis.

Results: SLE was diagnosed in 131 (86%) of 152 patients using the American College of Rheumatology - ACR)-1997 criteria, in 145 (95%) using the The Systemic Lupus International Collaborating Clinics (SLICC) 2012 criteria, and in 144 (94.7%) using the European League Against Rheumatism (EULAR)/ACR 2019 criteria. ANF positivity was the least statistically significant of all signs in relation to the diagnosis of SLE. The area under the curve (AUC) for ANF≥1/160 titers was AUC 0.654 for the ACR-97 criteria, AUC 0.616 for the SLICC-12 SLE criteria, and AUC 0.609 for the 2019 EULAR/ACR criteria. ROC analysis of the relationship between the number of criteria/points and a reliable diagnosis of SLE revealed a high diagnostic accuracy - the AUC for all SLE criteria was greater than 0.940. In the ROC analysis of patients with SLE and PAFS, indicating the number of diagnostic criteria, sensitivity was 86% for ACR-1997, 95% for SLICC-2012, 95% for EULAR/ACR 2019, and specificity was 100, 62 and 62%, respectively.

Conclusion: The classification criteria SLICC-2012 and EULAR/ACR 2019 are more sensitive for the diagnosis of SLE in the Russian population, and the criteria ACR-1997 are more specific. All three variants of the SLE classification criteria have sufficient sensitivity and specificity for their use in real clinical practice.

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来源期刊
Journal of the Meteorological Society of Japan
Journal of the Meteorological Society of Japan 地学-气象与大气科学
CiteScore
6.70
自引率
16.10%
发文量
56
审稿时长
3 months
期刊介绍: JMSJ publishes Articles and Notes and Correspondence that report novel scientific discoveries or technical developments that advance understanding in meteorology and related sciences. The journal’s broad scope includes meteorological observations, modeling, data assimilation, analyses, global and regional climate research, satellite remote sensing, chemistry and transport, and dynamic meteorology including geophysical fluid dynamics. In particular, JMSJ welcomes papers related to Asian monsoons, climate and mesoscale models, and numerical weather forecasts. Insightful and well-structured original Review Articles that describe the advances and challenges in meteorology and related sciences are also welcome.
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