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Analyses of Proteinuria, Renal Infiltration of Leukocytes, and Renal Deposition of Proteins in Lupus-prone MRL/lpr Mice
Published on: June 8, 2022
Mixing studies for lupus anticoagulant: mostly yes, sometimes no
1Department of Laboratory Haematology, Institute of Clinical Pathology and Medical Research (ICPMR), NSW Health Pathology, Westmead Hospital, Westmead, NSW 2145, Australia.
Lupus anticoagulants (LAs), a marker of antiphospholipid syndrome (APS), are detected using laboratory tests like RVVT and APTT. While mixing studies aid in LA identification, this article argues they can sometimes be omitted.
Area of Science:
- Clinical Immunology
- Hematology
- Laboratory Medicine
Background:
- Lupus anticoagulants (LAs) are key indicators of antiphospholipid syndrome (APS).
- APS is linked to adverse outcomes, notably thrombosis and pregnancy complications.
- Current LA diagnostics primarily rely on clot-based assays, including Russell viper venom time (RVVT) and activated partial thromboplastin time (APTT).
Purpose of the Study:
- To evaluate the role and necessity of mixing studies in lupus anticoagulant (LA) identification.
- To discuss the varying recommendations for mixing studies in recent LA testing guidelines.
- To present a viewpoint on when mixing studies may be omitted in the LA diagnostic algorithm.
Main Methods:
- Review of current LA testing methodologies, focusing on clot-based assays (RVVT, APTT).
- Analysis of recommendations from major guidance documents regarding LA identification and exclusion.
- Discussion of the function of mixing studies in differentiating LA activity from other coagulation inhibitors.
Main Results:
- All recent LA testing guidelines recommend RVVT and APTT assays.
- Mixing studies are generally supported by guidelines for LA identification/exclusion.
- There is variability in guidelines regarding the specific application and importance of mixing studies.
Conclusions:
- Mixing studies are typically essential for the accurate identification and exclusion of lupus anticoagulants.
- However, there are specific circumstances where omitting mixing studies may be appropriate.
- Further clarification on the precise role and placement of mixing studies in diagnostic algorithms is warranted.
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