拜瑞妥
医学
依杜沙班
阿哌沙班
达比加群
抗凝剂
抗磷脂综合征
狼疮抗凝剂
血栓形成
直接凝血酶抑制剂的发现与发展
直接凝血酶抑制剂
磺达肝素
肝素
华法林
部分凝血活酶时间
重症监护医学
内科学
凝结
心房颤动
静脉血栓栓塞
凝血酶
血小板
作者
Emmanuel J. Favaloro,Leonardo Pasalic
摘要
Background Lupus anticoagulants (LA) are one laboratory criterion for classification of antiphospholipid syndrome, with presence of vascular thrombosis and/or pregnancy/fetal morbidity being clinical criteria. The presence of LA is detected (or excluded) by laboratory testing, with the activated partial thromboplastin time and dilute Russell's viper venom time the most commonly used tests. Given the association of thrombosis with LA, it is no surprise that anticoagulants are used to treat or manage such patients. Objectives To review and discuss interferences from anticoagulants on LA testing, and strategies to mitigate these. Methods This narrative review assessed interference from commonly used anticoagulants, focusing on LA testing while on direct oral anticoagulants (DOACs), including use of DOAC neutralizers. Results The classical anticoagulants comprise vitamin K antagonists such as warfarin, and heparins, predominantly unfractionated heparin and low molecular weight heparin (LMWH). DOACs have emerged with favorable efficacy and safety. These comprise two classes: direct anti-thrombin (anti-IIa; dabigatran) or direct anti-Xa (rivaroxaban, apixaban, edoxaban) agents. All anticoagulants affect clotting assays, although there are differences in effects according to anticoagulant and assay. Nevertheless, because of such interferences, anticoagulants can lead to false-negative or false-positive LA findings. Several strategies can mitigate such interferences, including avoidance of testing while patients are on such anticoagulants, temporarily switching to an anticoagulant (i.e., LMWH) with less assay interference, testing for LA at nadir levels of anticoagulants, and/or use of anticoagulant neutralizers. Conclusion Whilst the best approach is to avoid LA testing on patients taking anticoagulants; if unavoidable, testing may be facilitated by various mitigating strategies.
科研通智能强力驱动
Strongly Powered by AbleSci AI