Fixed Doses of Anticoagulants Cause Wide Variation of Thrombin Generation
Notice bibliographique
Résumé
Abstract Current practice in the prevention of venous thromboembolism (VTE) is either controlled dosage of vitamin K antagonists (VKA) or standard dosage of a low molecular weight heparin (LMWH) or an orally administrated direct inhibitor of thrombin or factor Xa (DOACs). This is justified by clinical trials showing the non-inferiority of standard dosage to VKA treatment - disregarding that the latter could be improved upon. Whether standard dosage is optimal for the individual patient depends upon how well (s)he is represented by the "average" patient that meets the inclusion criteria of the trial. Here we show that in a set of normal plasmas the individual thrombin generating power (the endogenous thrombin potential: ETP), after spiking with a fixed concentration (~ IC50) of different anticoagulants show such a wide variation that, even when plasma levels would be identical, a considerable percentage of patients could be over- or under-anticoagulated. Consequently adapted doses must be considered if better results than those with VKA are our aim. We recall that the ETP is close to constant in the individual person but varies in the population with a broad log-normal distribution (CV 16%). The ETP is highly correlated to the risk of thrombosis: The relative risk of VTE in the upper quartile being 5 - 7 times higher than that in the lower one (Winckers K., et al., poster PO617, ISTH 2015, Toronto). Reducing the ETP is the common feature of all antithrombotic therapy. The desired range of reduction is not exactly known. In congenital bleeding disorders bleeding risks increase sharply at ETP below 33%. In monitoring VKA treatment an INR below 2, which corresponds to an ETP > 66% of normal, is generally considered inadequate. We therefore arbitrarily choose the range 33 - 66% of normal, as a target range (TR). Experimental: Individual plasmas from 60 normal healthy volunteers were spiked with a fixed amount of either unfractionated heparin (UFH), low molecular weight heparin (LMWH), antithrombin binding pentasaccharide (penta), DOAC acting on thrombin or DOAC acting on factor Xa. We found the residual ETP to be highly variable (table column 3), obviously because the variation in susceptibility to the inhibitor superimposes upon the natural variation. Using these CVs we calculated what % falls either above or below the target range. The total variance of the ETP under treatment is the combined effect of natural variance, the pharmacokinetic- and the pharmacodynamic -variance. Here we determined pharmacodynamic effects only and calculated the % of ETP values that would fall outside the target range A: if there would be no pharmacokinetic variance (table column 4 & 5) and B: If the pharmacokinetic variance would equal the pharmacodynamic variance (table column 6 & 7). It is seen that in any case over 15% of the population will be outside the target range and that in the more likely case that pharmacokinetic variation counts as much as pharmacodynamic variation does around half of all patients will be outside the safe range. This could be avoided by measuring the effect of a standard dose of anticoagulant on the ETP once and increasing the dose in those with an ETP > 66% and decreasing it in those with ETP < 33%. The present work is meant to provide the rationale for starting clinical studies on the actual variation of the ETP attained under standard dosage of different anticoagulants and the effects thereon of personalised dose adjustment. Table Table. Disclosures Hemker: Diagnostica Stago: Consultancy.
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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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| 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 ».