Cited by 46Systemic Lupus Erythematosus ResearchBlood Coagulation and Thrombosis MechanismsClinical Laboratory Practices and Quality Control

Interpretation of normal plasma mixing studies in the laboratory diagnosis of lupus anticoagulants

Devreese, Katrien M.J.·2007·Thrombosis Research

Abstract

Introduction Mixing studies are part of the laboratory diagnosis of lupus anticoagulants (LA). They are used to determine the evidence of an inhibitor by demonstrating persistence of an abnormal clotting time by mixing patient plasma with normal plasma. Since there is no standardised interpretation of results of mixing studies, percent correction formulas are proposed. The sensitivity of mixing studies strongly depends on the interpretation of the results. Materials and methods A retrospective analysis was performed on 361 samples, 75 LA-positive and 286 LA-negative samples. For all the LA-positive samples and for 181/286 LA-negative samples mixing tests on one or more screening tests were performed. A percent correction formula and the Rosner index were calculated for all mixing tests on aPTT and dPT. Results The Conclusions This study demonstrates that the Rosner index and the percent correction formulas for interpretation of mixing studies are complementary and can help to reduce misclassification of LA-positive or LA-negative samples.

Integrity signals

Registry

Crossref · 10.1016/j.thromres.2006.03.012

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Mixing tests may make weak LA samples appear negative due to a dilution factor.

    “mixing plasma with NPP shows a dilution factor that can make weaker LA samples appear negative in the mixing test despite clear positivity in the screening and confirmation results on undiluted plasma”
  • False-negative mixing tests can arise from reagent sensitivity and specificity to LA; some LAs that are positive in screening tests with both aPTT and dRVVT show positivity in the mixing test for one test but not the other.

    “False-negatives mixing tests can also arise for reasons other than dilution, such as reagents’ sensitivity and specificity to LA: some LAs, undoubtedly positive in screening tests with both aPTT and dRVVT, show positivity in the mixing for one test but not for the other [105,106].”

    From Lupus Anticoagulant Detection under the Magnifying Glass (2023) · cites this paper as [105]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Devreese, K. M. J.
Affiliations
Ghent University Hospital (BE)
Corresponding author
Devreese, Katrien M.J.
Venue
Thrombosis Research
Publisher
Elsevier BV
Published
2007-01
Volume
119
Issue
3
Pages
369-376
ISSN
0049-3848 (ISSN-L)
OpenAlex
W2015162021
Cited by
46
References
5
Citations by year
2026: 5 · 2023: 4 · 2022: 5 · 2020: 2 · 2019: 2 · 2018: 1 · 2017: 3 · 2016: 3 · 2015: 2 · 2014: 1 · 2013: 1 · 2012: 3
FWCI
1.75
Type
journal article
Language
en
Open access
closed
Locations
  • Thrombosis Research (publishedVersion)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Rheumatology › Systemic Lupus Erythematosus Research
  • Health Sciences › Medicine › Hematology › Blood Coagulation and Thrombosis Mechanisms
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
lupus anticoagulant, activated partial thromboplastin time, diagnostic sensitivity
MeSH terms
Humans, Partial Thromboplastin Time, Predictive Value of Tests, Retrospective Studies, Thrombosis, Lupus Coagulation Inhibitor

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review