致密细斑(DFS)模式的识别仍然具有挑战性:来自国际互联网调查的结果。

Q1 Medicine Auto-Immunity Highlights Pub Date : 2016-12-01 Epub Date: 2016-07-09 DOI:10.1007/s13317-016-0081-2
Chelsea Bentow, Marvin J Fritzler, Eckart Mummert, Michael Mahler
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引用次数: 55

摘要

目的:通过间接免疫荧光(IIF)在HEp-2细胞上检测到的致密细斑(DFS)模式与几种炎症性疾病有关,但最常见于无抗核抗体(ANA)相关风湿病的个体,甚至在表面健康的个体中。因此,准确识别和正确报告这种IIF模式至关重要,因此已被几个国际研究小组认可为ANA的检测。此外,DFS IIF模式最近被国际抗核抗体(ANA)模式共识(ICAP, http://www.anapatterns.org/)委员会推荐为能力水平识别模式。本研究的目的是使用基于互联网的调查来评估经验丰富的技术人员对DFS IIF模式的识别准确性。方法:使用自动化IIF NOVA View仪器(Inova Diagnostics, San Diego, CA)捕获高分辨率数字IIF图像。在一项匿名的、国际性的、基于互联网的解释性调查中,有10张图片被张贴出来。230名IIF技术人员受邀参加。调查中的四张图像来自先前表征的血清样本,具有经典的ANA IIF模式(核核,着丝粒,均匀和斑点),其中两张图像来自具有DFS IIF ANA模式的样本,并通过化学发光免疫分析法确定分离的抗dfs70抗体。其余四张图像来自具有上述经典IIF ANA模式的血清,并与单特异性抗dfs70阳性样本混合。调查包括多项选择:均质,DFS,着丝粒,核仁,斑点,其他或无法识别。结果:230名完成调查的参与者中有125人在HEp-2细胞的IIF模式识别方面有不同程度的经验,经验从10年(平均>10年)不等。参与者在正确分类经典ANA IIF模式方面具有很高的一致性:从着丝粒的95.2%到核仁模式的74.4%。未混合的DFS模式被识别的准确率明显较低(~ 50%;结论:识别DFS ANA IIF模式和由DFS +临床相关ANA模式组成的混合IIF模式是一个重大挑战。因此,在向医生报告明确的结果之前,似乎有必要使用dfs特异性免疫测定法来确认抗dfs70抗体的存在。
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Recognition of the dense fine speckled (DFS) pattern remains challenging: results from an international internet-based survey.

Purpose: The dense fine speckled (DFS) pattern as detected by indirect immunofluorescence (IIF) on HEp-2 cells has been associated with several inflammatory diseases but is most commonly observed in individuals that do not have an antinuclear antibody (ANA)-associated rheumatic disease and even in apparently healthy individuals. Consequently, the accurate identification and correct reporting of this IIF pattern is of utmost importance and accordingly has been recognized by several international study groups for the detection of ANA. Furthermore, the DFS IIF pattern has recently been recommended as a competency level recognition pattern by the International Consensus on Antinuclear Antibody (ANA) Pattern (ICAP, http://www.anapatterns.org/ ) Committee. The objective of this study was to use an internet-based survey to assess how accurately the DFS IIF pattern was recognized by experienced technologists.

Methods: High-resolution digital IIF images were captured using the automated IIF NOVA View instrument (Inova Diagnostics, San Diego, CA). Ten images were posted in an anonymous, international, internet-based interpretive survey. Two hundred and thirty IIF technologists were invited to participate. Four of the images in the survey were from previously characterized serum samples with classical ANA IIF patterns (nucleolar, centromere, homogeneous, and speckled) and two of the images were from samples with a DFS IIF ANA pattern and isolated anti-DFS70 antibodies as determined by a chemiluminescence immunoassay. The remaining four images were from sera with the classic IIF ANA patterns referred to above and mixed with a monospecific anti-DFS70-positive sample. The survey included multiple choice selections: homogeneous, DFS, centromere, nucleolar, speckled, other, or unrecognizable.

Results: 125 of the 230 participants who completed the survey had diverse levels of experience in IIF pattern recognition on HEp-2 cells ranging from <1 year to >10 years of experience (average >10 years). Participants had a high concordance in correctly classifying the classical ANA IIF patterns: ranging from 95.2 % for centromere to 74.4 % for nucleolar patterns. The unmixed DFS pattern was recognized with significantly lower accuracy (~50 %; p < 0.05). However, less than 10 % correctly identified mixed patterns derived from the sera containing both clinically relevant ANA and anti-DFS70 antibodies.

Conclusions: Recognizing the DFS ANA IIF pattern and mixed IIF patterns composed of DFS + clinically relevant ANA patterns poses a significant challenge. Consequently, it seems imperative that DFS-specific immunoassays should be used to confirm the presence of anti-DFS70 antibodies before definitive results are reported to physicians.

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