Algorithm-based effective recognition of acquired hemophilia A and other causes of isolated prolonged activated partial thromboplastin time within large blood sample series

IF 3.4 3区 医学 Q2 HEMATOLOGY
Paul Turincev , Francisco Gomez , Christine Coutaz , Stéphane Quarroz , Lorenzo Alberio , Nathalie Rufer
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引用次数: 0

Abstract

Background

Among the various causes of isolated prolonged activated partial thromboplastin time (aPTT), acquired hemophilia A (AHA) is a rare disorder whose timely recognition is often missed clinically. Consequently, there is a need for a laboratory approach that allows for rapid and reliable evaluation of the causes of an isolated prolonged aPTT within large series of blood samples without specific diagnostic hypotheses.

Objectives

To create and implement an automated sequential laboratory-based algorithm to facilitate early AHA diagnosis.' in a new line below the Background section in the Abstract.

Methods

A multistep automated algorithm was developed and validated to target blood samples sent for routine coagulation assays, actively excluding samples with an underlying anticoagulant treatment, selecting those with an isolated prolonged aPTT, and detecting clinically relevant causes.

Results

The main causes of an isolated prolonged aPTT were anticoagulant drugs and factor (F)XII deficiency/consumption (∼75% of cases). Selection of samples with an isolated prolonged aPTT was achieved by the first 5 automated steps (24 h/7 d), based on routinely available data. During a prospective 3.25-year trial, this strategy enabled the identification of 0.5% (1816/359,229) of samples. After FXII testing (step 6) and exclusion of undisclosed anti-FXa activity (step 7), evaluation of specific causes identified 6.5% (119/1816) of FVIII-deficient samples, including known cases of congenital hemophilia or von Willebrand disease, and 3 new cases of AHA. Since its routine implementation, 4 additional patients with AHA were identified. In all 7 patients, the laboratory-based diagnosis was achieved on the first day of hospitalization without any preceding clinical suspicion for AHA.

Conclusion

Our sequential laboratory-based algorithm enables the rapid and accurate identification of rare causes of isolated prolonged aPTT, which can lead to clinically significant bleeding disorders, such as acquired hemophilia.
基于算法的有效识别获得性血友病A和其他原因在大样本系列中分离的活化部分凝血活素时间延长
背景:获得性血友病A (AHA)是引起孤立性活化部分凝血活素时间延长(aPTT)的多种原因之一,是一种罕见的疾病,在临床上常常被忽视。因此,需要一种实验室方法,以便在没有特定诊断假设的情况下,对大量血液样本中孤立的长期aPTT的原因进行快速可靠的评估。目的建立并实现一种基于实验室的自动顺序算法,以促进AHA的早期诊断。在摘要的背景部分下面的新行中。方法开发并验证了一种多步骤自动算法,以常规凝血检测的血液样本为目标,主动排除潜在抗凝治疗的样本,选择孤立的aPTT延长的样本,并检测临床相关原因。结果孤立性aPTT延长的主要原因是抗凝药物和因子(F)XII缺乏/消耗(约75%)。根据常规可用数据,通过前5个自动化步骤(24 h/7 d)选择具有分离延长aPTT的样品。在一项为期3.25年的前瞻性试验中,该策略能够识别0.5%(1816/359,229)的样本。在FXII检测(第6步)和排除未公开的抗fxa活性(第7步)后,对6.5%(119/1816)的fviii缺陷样本进行了具体原因评估,其中包括已知的先天性血友病或血管性血友病病例,以及3例新的AHA病例。自常规实施以来,又发现了4例AHA患者。在所有7例患者中,实验室诊断均在住院第一天完成,之前没有任何临床怀疑AHA。结论我们基于实验室的序列算法能够快速准确地识别分离性延长aPTT的罕见原因,这可能导致临床上显著的出血性疾病,如获得性血友病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.60
自引率
13.00%
发文量
212
审稿时长
7 weeks
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