An in-Vitro Model Using Thromboelastography to Evaluate the Effects of Anticoagulants On Clot Formation in Plasma Enriched with Autologous Platelets
Notice bibliographique
Résumé
Abstract Abstract 1091 Background: In the presence of thrombocytopenia, antithrombotic therapy in patients with thrombosis is a challenge for the managing physicians. Current guidelines are based on anecdotal data and expert opinion. Hereby, we used an in-vitro model with thrombelastography (TEG) to study the interactions of anticoagulants with plasma clotting proteins and varying concentrations of platelets. The objective of this study is to better elucidate the range of platelet concentrations in plasma which will permit clot formation in the presence of anticoagulant. Methods: Fresh human platelet-rich plasma and platelet-poor plasma were obtained from the same donors to produce plasma samples with predefined platelet counts. For each experiment, these samples were incubated with a reaction mixture containing 30 μg/mL corn trypsin inhibitor and one of the following anticoagulants at therapeutic concentrations: heparin (0.3 IU/mL), dalteparin (1.0 IU/mL), fondaparinux (1.25 mg/L), rivaroxaban (150 ng/mL) or dabigatran (180 ng/mL). Clotting was initiated with 10 mM CaCl2 and tissue factor (TF) (Thromborel® S). The amount of tissue factor for each anticoagulant was pre-optimized so that the plasma did not clot in the absence of platelets but the clotting time would return to baseline when platelet count increased to 150 x109/L, corresponding to the expected clinical profile. All parameters for TEG (R,a, MA, TMA) were monitored for 180 min. The area under the curve for each TEG tracing in the first 15 min (AUC15) after clot initiation was estimated as it represents a global measurement of clot strength during its formation. Williams' t-test was used to compare multiple data points with its corresponding baseline control. A p < 0.05 was considered statistically significant. Results: The TF concentration in Thromborel S® was 3140 pM as determined by ELISA. We found that the optimal TF concentrations required for each anticoagulant were 1.2 pM, 0.7 pM, 0.07 pM for heparin, dalteparin, and fondaparinux respectively. No extrinsic tissue factor was required for rivaroxaban and dabigatran. In the presence of an anticoagulant, clot formation was significantly delayed when platelet counts were below 50 x109/L (fig.1). In contrast, when platelet counts were between 50–150 x109/L, there were no significant differences in all TEG parameters. The AUC15 linearly decreased when platelet counts fell below 150 x109/L. In the presence of heparinoids, the overall AUCs are reduced by an average of 6-fold comparing to the controls without anticoagulants (fig.2). In the presence of rivaroxaban or dabigatran the reduction in the overall AUCs was minimal compared to the heparinoids. The slopes of AUC15 against platelet count in the heparinoids were similar, with an average slope of 15. In contrast, the direct factor specific anticoagulants had distinctly different slopes that averaged at 56. Conclusion: Our findings suggest that, in the presence of therapeutic concentration of an anticoagulant, coagulation is delayed when platelet count is below 50 x109/L and clot formation is globally attenuated with lower platelet counts. Due to the fact that the clotting time is significantly prolonged when platelet counts fall below the threshold of 50 x109/L, we recommend withholding or reducing anticoagulants when patients with thrombocytopenia have platelet counts lower than this level. This data is consistent with the current clinical practice in adult population. Furthermore, since rivaroxaban and dabigatran required no extrinsic TF to initiate clot formation in our model, these new anticoagulants may have a wider safety margins for the treatment of thrombosis in thrombocytopenic patients. Yet, without the availability of specific antidote for these new anticoagulants, their use in patients with high bleeding risk warrants further evaluation. Disclosures: No relevant conflicts of interest to declare.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».