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Can Common Coagulation Assays Be Used to Estimate Dabigatran or Rivaroxaban Concentration? An Interlaboratory Comparison of 41 Hospitals in Quebec.

2012· article· en· W2600981619 on OpenAlexaffabout
Catherine Girard-Desbiens, Chantal Nadeau, Normand Blais

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsCentre Hospitalier de l’Université de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsDabigatranRivaroxabanMedicinePartial thromboplastin timeDosingThrombin timeProthrombin timeCoagulation testingWarfarinCoagulationThromboelastographyDirect thrombin inhibitorPharmacologyIntensive care medicineAnesthesiaInternal medicineAtrial fibrillation

Abstract

fetched live from OpenAlex

Abstract Abstract 2271 Introduction: Dabigatran and Rivaroxaban have both been approved in Canada for the prevention and treatment of thrombosis. Although they have different mechanisms of action; they both share the same advantage over warfarin that is their predictable anticoagulation effect, which precludes the need for routine monitoring. However, there are special situations (emergent surgery, bleeding, therapeutic failure) where dosing would be clinically relevant. A major concern is that patients treated with these drugs may present themselves in non-tertiary centers where the availability of specialized coagulation assays is usually limited, especially in an emergency setting. So, although specific monitoring assays are under development for dabigatran and rivaroxaban, we sought to investigate the widely available coagulation assays prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (aPTT) and thrombin time (TT) as means to estimate plasma levels of these new anticoagulants. Study design: Our study aimed at emulating real life situations. We purposely recruited academic (15) and non-academic centers (26), to reflect the diversity of the laboratories in the province of Quebec, Canada. Method: Solutions containing increasing concentrations of dabigatran (from 0,01 μmol/mL to 0,48 μmol/mL) and rivaroxaban (from 0,012 μmol/mL to 0,490 μmol/mL) were prepared. Frozen aliquots of each solution were shipped to each of the 41 participating center (blinded for concentration). Each laboratory then performed automated assays for PT, aPTT and TT, according to each local protocol. Results: Dabigatran The TT was exquisitely sensitive to dabigatran but was not available in every hospital (available in 25 out of 41). All values were three times above the normal value even for low concentrations (> 0,03μg/mL). With regards to aPTT, we were able to demonstrate a difference in sensitivity of different cephalins for low concentrations of dabigatran. The value was abnormal in 74% centers for a concentration of 0,01 μg/mL. Whereas no abnormal value was obtained with APTT-SP, all values were above normal for CK-PREST. As for high concentrations, normal values were obtained in 5% of centers for a concentration of 0,06 μg/mL. An aPTT value over 80 was obtained for 25% of centers testing the 0,26 μg/mL concentration and of 68% centers with the 0,48 μg/mL samples. We thus have shown that a normal aPTT could be obtained, although rarely, with concentrations that are within or above the therapeutic range. Accordingly with what has already been published, our study demonstrated that INR was less sensitive to dabigatran than aPTT. Rivaroxaban The TT was not significantly prolonged with therapeutic concentrations of rivaroxaban (at the highest concentrations we observed a slight prolongation with a ratio on normal value < 1,5). INR prolongation with rivaroxaban was linear and we observed a variation in sensitivity with the 5 studied thromboplastins. Neoplastin C1 and Neoplastin C1 plus showed the greatest sensitivity while Thromborel S showed the least. We were able to demonstrate a statically significant difference between high ISI (>1,15) and low ISI (<1,15) thromboplastins, the latter being less sensitive. In our study, aPTT showed a slightly greater sensitivity to rivaroxaban than INR. Both PT and aPTT were systematically abnormal for concentrations above therapeutic range. At concentrations nearing Cthrough however, a significant proportion of the centers obtained normal values, which demonstrates the lack of sensitivity of both assays for detecting a residual effect of medication. Conclusion: Dabigatran and Rivaroxaban represent a new challenge for hemostasis laboratories. Our study reflects the diversity of coagulation assays used throughout the province of Quebec. The variation in sensitivity that was observed between laboratories makes it difficult to provide broad recommendations on the use of common coagulation assays as a dosing method for dabigatran or rivaroxaban. We suggest that each center provide recommandations based on a calibrator generated dose response curve before using these assays in a clinical setting. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.395
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2012
Admission routes2
Has abstractyes

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