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使用两种联合自动化快速免疫测定法评估肝素诱导的血小板减少症的诊断算法。

Evaluating Diagnostic Algorithms for Heparin-Induced Thrombocytopenia using Two Combined Automated Rapid Immunoassays.

机构信息

Department of Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada.

Michael G. DeGroote Centre for Transfusion Research, McMaster University, Hamilton, Ontario, Canada.

出版信息

Semin Thromb Hemost. 2024 Nov;50(8):1123-1130. doi: 10.1055/s-0044-1786749. Epub 2024 May 11.

Abstract

Heparin-induced thrombocytopenia (HIT) is an autoimmune disorder caused by antibodies against platelet factor 4 (PF4) and heparin complexes. Rapid immunoassays (IAs) for detection of these antibodies mark a milestone in HIT diagnosis, despite a higher false-positive rate compared with functional platelet-activation assays. However, combining different rapid IAs may help to improve their diagnostic specificity. Here, we compared the individual performance of the latex immunoturbidimetric assay (LIA; HemosIL HIT-Ab [PF4-H]; sensitivity 91.7%, specificity 68.4%) and chemiluminescence immunoassay (CLIA; HemosIL AcuStarHIT-Ab [PF4-H]; sensitivity 92.4%, specificity 85.8%) with their combined performance using two unique diagnostic algorithms in a single prospective cohort of suspected HIT patients. Using the simultaneous algorithm adapted from Warkentin et al, the combined LIA-CLIA had a sensitivity of 99.0% and specificity of 64.3%. The sequential algorithm adapted from Rittener-Ruff et al was applied in two theoretical scenarios to reflect real-world circumstances in diagnostic laboratories where access to clinical information is limited: (1) assuming all patients had an intermediate 4Ts score and (2) assuming all patients had a high 4Ts score. This algorithm correctly predicted HIT in 94.5% (high 4Ts) and 96.0% (intermediate 4Ts) and excluded HIT in 82.6% (high 4Ts) and 80.1% (intermediate 4Ts) of patients in either scenario, respectively. Although both combined algorithms improved diagnostic performance of individual IAs, the simultaneous algorithm showed fewer false predictions (7.9%) than the sequential algorithm (intermediate 4Ts: 37.6% and high 4Ts: 41.5%) and proved more practical as it does not rely on physician evaluations. Our findings highlight the importance of accounting for clinician and interlaboratory variability when evaluating diagnostic tests for HIT.

摘要

肝素诱导的血小板减少症(HIT)是一种由针对血小板因子 4(PF4)和肝素复合物的抗体引起的自身免疫性疾病。尽管与功能性血小板激活检测相比,快速免疫测定(IA)的假阳性率更高,但用于检测这些抗体的快速免疫测定(IA)标志着 HIT 诊断的一个里程碑。然而,结合使用不同的快速 IA 可能有助于提高其诊断特异性。在这里,我们比较了乳胶免疫比浊测定(LIA;HemosIL HIT-Ab [PF4-H];敏感性 91.7%,特异性 68.4%)和化学发光免疫测定(CLIA;HemosIL AcuStarHIT-Ab [PF4-H];敏感性 92.4%,特异性 85.8%)在疑似 HIT 患者的单个前瞻性队列中使用两种独特的诊断算法的单独性能。使用 Warkentin 等人改编的同时算法,联合 LIA-CLIA 的敏感性为 99.0%,特异性为 64.3%。改编自 Rittener-Ruff 等人的序贯算法用于两种理论情况,以反映诊断实验室中实际情况,即获取临床信息有限:(1)假设所有患者的 4Ts 评分均为中间值,(2)假设所有患者的 4Ts 评分均较高。该算法在两种情况下均正确预测了 94.5%(高 4Ts)和 96.0%(中 4Ts)的 HIT,分别排除了 82.6%(高 4Ts)和 80.1%(中 4Ts)的患者中的 HIT。尽管两种联合算法都提高了单个 IA 的诊断性能,但同时算法的假阳性预测较少(7.9%),而序贯算法(中间 4Ts:37.6%和高 4Ts:41.5%)较多,并且由于不依赖于医生评估,因此更实用。我们的研究结果强调了在评估 HIT 的诊断测试时考虑临床医生和实验室间变异性的重要性。

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