Population pharmacokinetics of unfractionated heparin and multivariable analysis of activated clotting time in patients undergoing radiofrequency ablation of atrial fibrillation.

Biomed Pharmacother

Université de Reims Champagne Ardenne, UR 3801 PPF, Reims, 51100, France; Centre Hospitalier Universitaire de Reims, Service Pharmacologie-Toxicologie, Pôle de Biologie Territoriale, Reims, 51100, France. Electronic address:

Published: December 2024

AI Article Synopsis

  • - The study aimed to create a population pharmacokinetic-pharmacodynamic (PK-PD) model to understand how different factors influence the variability of unfractionated heparin (UFH) doses in patients undergoing radiofrequency catheter ablation (RFCA) for atrial fibrillation (AF).
  • - Analysis of medical records from 668 patients revealed that pretreatments with anticoagulants like dabigatran, warfarin, or fluindione affected baseline activated clotting time (ACT), and the initial UFH dose and previous anticoagulant were key predictors of ACT 15 minutes after UFH administration.
  • - The researchers successfully developed predictive calculators for ACT and UFH doses, promoting tailored anticoagulation

Article Abstract

Introduction: Atrial fibrillation (AF) increases cardiovascular morbidity and mortality. To reduce thrombosis and bleeding risks, and due to high variability of unfractionated heparin (UFH) effect, activated clotting time (ACT) is used during radiofrequency catheter ablation (RFCA) of AF to guide UFH dose. This study aimed to develop a population PK-PD model and perform multivariable analysis in order to identify the most significant covariates associated with interindividual variability of UFH.

Methods: Electronic medical records from 668 patients undergoing RFCA were analyzed, including relevant covariates. The relationship between UFH dose and ACT and the impact of the main covariates were characterized using a mixed-effect PK-PD model. Multivariable analysis was then used to identify predictors of ACT 15 minutes after UFH administration (ACT15).

Results: A two-compartment PK model with linear elimination and a direct Emax PD model with a baseline and sigmoidicity best described the observed ACT values. Pretreatment with dabigatran, warfarin, or fluindione significantly influenced baseline ACT. Pretreatment with vitamin K antagonists or low molecular weight heparin explained Emax variability. The multivariable model identified baseline ACT, initial UFH dose, and previous anticoagulant as the main predictors of ACT15. Model evaluation through resampling and external validation showed accurate ACT15 predictions.

Conclusion: This study presents the first population PK-PD model characterizing the relationship between UFH doses and ACT during RFCA, along with multivariable analysis. Additionally, predictive calculators for ACT15 and UFH dose based on patient and procedural characteristics were developed, enhancing personalized anticoagulation management during RFCA.

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Source
http://dx.doi.org/10.1016/j.biopha.2024.117700DOI Listing

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