Integrating quality assurance in autoimmunity: the changing face of the automated ANA IIF test

IIf公司 质量保证 计算机科学 数学 算法 医学 间接免疫荧光 病理 外部质量评估 免疫学 抗原
作者
Lieve Van Hoovels,Xavier Bossuyt,Mariangela Manfredi,Valentina Grossi,Maurizio Benucci,Stefanie Van den Bremt,Heidi De Baere,Daria Franceschi,Emiliano Tosi,Marco Meoni,Nicola Bizzaro,María Infantino
出处
期刊:Clinical Chemistry and Laboratory Medicine [De Gruyter]
卷期号:59 (7): 1247-1255 被引量:10
标识
DOI:10.1515/cclm-2020-1669
摘要

Currently available computer-aided diagnosis (CAD) systems for the detection of anti-nuclear antibodies (ANA) by indirect immunofluorescence (IIF) assay enable a standardized measurement of system-specific fluorescent intensity (FI) measures. We aimed to evaluate an internal quality control (iQC) program that controls the total ANA IIF process in routine practice.In addition to the kit iQC materials, supplemental quality indicators were integrated in a total quality assurance (QA) program: patient-derived iQC's samples (negative, 1/160 fine speckled and 1/160 homogeneous), median sample FI per run and percentage of ANA IIF positive samples per run. Analytical rejection criteria were based on the imprecision of the positivity index (PI) measure of the Zenit PRO system (Menarini). Clinical rejection criteria were based on changes in FI that correspond to a change in ANA IIF titer of ≥2. To evaluate the QA program, different artificial errors were introduced during the ANA IIF process. After every run, quality indicators were evaluated and compared to the pre-set target values.Rescanning the ANA IIF slides five times, using an old conjugate and a needle obstruction resulted in analytically and even clinically relevant errors in ANA IIF results. All errors were correctly detected by the different defined quality indicators. Traditional Westgard rules, including analytically (and clinically) defined rejection limits were useful in monitoring quality indicators.The integration of a total process iQC program in CAD systems, based on the specific FI measurands and performance criteria of the system, adds value to QA.

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