Zheng G, Streiff M B, Allison D, Takemoto C M, Salimian K, Morris P, Jani J, McCord R, Kickler T S
Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Int J Lab Hematol. 2018 Oct;40(5):527-532. doi: 10.1111/ijlh.12853. Epub 2018 May 13.
While diagnostic algorithm using PF4-heparin enzyme-linked immunosorbent assay (ELISA) optical density (OD), and heparin neutralization assay (HNA), or 4T score have been proposed to replace serotonin-release assay (SRA) for heparin-induced thrombocytopenia (HIT), their performance against SRA is unclear. In this study, we proposed and validated the performance of a new algorithm combining PF4-heparin ELISA optical density (OD), HNA and 4T score against SRA for HIT diagnosis.
Heparin neutralization assays were performed on specimens submitted for HIT testing with positive PF4-heparin ELISA from December 2015 to September 2017, which were separated into a "training" and a "validation" data set. 4T scores were calculated for ELISA positive cases.
A total of 123 consecutive unique patient samples had positive PF4-heparin ELISA with also HNA data, SRA data, and 4T scores available. Compared to SRA, a "laboratory criteria" (ELISA OD ≥ 1.4 and HNA ≥ 70%) had a sensitivity of 88% (14/16) and specificity of 91% (42/46), and a "combined criteria" (4T score = 8, or 4T score = 6 or 7 and ELISA OD ≥ 1.0, or 4T score = 4 or 5 and ELISA OD ≥ 2.0) had a sensitivity of 75% (12/16) and specificity of 98% (45/46) in the training data set. Laboratory and combined criteria had 90% (56/62) concordance rate. Importantly, for these concordant cases, the diagnostic specificity is 100% (46/46). Based on the data, a novel diagnostic algorithm combining these 2 criteria was proposed and validated prospectively.
A novel algorithm has high diagnostic accuracy and potentially could eliminate the need for SRA testing in at least 90% patients with suspected HIT.
虽然已提出使用血小板第4因子(PF4)-肝素酶联免疫吸附测定(ELISA)光密度(OD)、肝素中和试验(HNA)或4T评分的诊断算法来替代血清素释放试验(SRA)以诊断肝素诱导的血小板减少症(HIT),但其与SRA相比的性能尚不清楚。在本研究中,我们提出并验证了一种结合PF4-肝素ELISA光密度(OD)、HNA和4T评分的新算法与SRA相比用于HIT诊断的性能。
对2015年12月至2017年9月提交进行HIT检测且PF4-肝素ELISA呈阳性的标本进行肝素中和试验,这些标本被分为一个“训练”数据集和一个“验证”数据集。计算ELISA阳性病例的4T评分。
共有123例连续的独特患者样本PF4-肝素ELISA呈阳性,同时有HNA数据、SRA数据和4T评分。与SRA相比,“实验室标准”(ELISA OD≥1.4且HNA≥70%)在训练数据集中的敏感性为88%(14/16),特异性为91%(42/46),“联合标准”(4T评分为8,或4T评分为6或7且ELISA OD≥1.0,或4T评分为4或5且ELISA OD≥2.0)的敏感性为75%(12/16),特异性为98%(45/46)。实验室标准和联合标准的符合率为90%(56/62)。重要的是,对于这些一致的病例,诊断特异性为100%(46/46)。基于这些数据,提出并前瞻性地验证了一种结合这两个标准的新型诊断算法。
一种新型算法具有较高的诊断准确性,并且有可能使至少90%疑似HIT的患者无需进行SRA检测。