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房颤射频消融患者中普通肝素的群体药代动力学及活化凝血时间的多变量分析

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

作者信息

Konecki Celine, Lesaffre François, Guillou Sophie, Feliu Catherine, Dubuisson Florine, Labdaoui Moad, Faroux Laurent, Djerada Zoubir

机构信息

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.

Université de Reims Champagne Ardenne, UR 3801 PPF, Reims, 51100, France; Centre Hospitalier Universitaire de Reims, Service Cardiologie, Reims, 51100, France.

出版信息

Biomed Pharmacother. 2024 Dec;181:117700. doi: 10.1016/j.biopha.2024.117700. Epub 2024 Nov 20.

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.

摘要

引言

心房颤动(AF)会增加心血管疾病的发病率和死亡率。为降低血栓形成和出血风险,且由于普通肝素(UFH)效果存在高度变异性,在房颤的射频导管消融(RFCA)过程中使用活化凝血时间(ACT)来指导UFH剂量。本研究旨在建立一个群体药代动力学-药效学(PK-PD)模型并进行多变量分析,以确定与UFH个体间变异性相关的最显著协变量。

方法

分析了668例接受RFCA患者的电子病历,包括相关协变量。使用混合效应PK-PD模型来描述UFH剂量与ACT之间的关系以及主要协变量的影响。然后使用多变量分析来确定UFH给药后15分钟时ACT(ACT15)的预测因素。

结果

具有线性消除的二室PK模型和具有基线及S形曲线的直接Emax PD模型最能描述观察到的ACT值。达比加群、华法林或氟茚二酮预处理显著影响基线ACT。维生素K拮抗剂或低分子量肝素预处理可解释Emax变异性。多变量模型确定基线ACT、初始UFH剂量和先前的抗凝剂为ACT15的主要预测因素。通过重采样和外部验证进行的模型评估显示ACT15预测准确。

结论

本研究提出了首个群体PK-PD模型,该模型描述了RFCA期间UFH剂量与ACT之间的关系,并进行了多变量分析。此外,还开发了基于患者和手术特征的ACT15和UFH剂量预测计算器,增强了RFCA期间的个性化抗凝管理。

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