Dabigatran plasma concentration indicated the risk of patients with non-valvular atrial fibrillation

Zhu Zhu1, Zhu Shen1, Aiming Shi1

  • 1Department of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu, China.

Heart and Vessels
|October 25, 2021
PubMed

Insights

Dabigatran concentration varies significantly in Chinese patients with non-valvular atrial fibrillation. Higher dabigatran levels and hypertension history increase bleeding risk, influenced by age, BMI, and heart failure.

Area of Science:

  • Pharmacology
  • Clinical Medicine
  • Cardiology

Background:

  • Non-valvular atrial fibrillation (NVAF) management often involves anticoagulants.
  • Dabigatran etexilate (DE) is a direct thrombin inhibitor used for NVAF.
  • Understanding dabigatran plasma concentration variability is crucial for optimizing treatment and predicting outcomes.

Purpose of the Study:

  • To assess dabigatran plasma concentration variability in Chinese NVAF patients.
  • To identify factors influencing dabigatran concentration.
  • To explore the association between dabigatran concentration and clinical events, particularly bleeding.

Main Methods:

  • Prospective study involving 86 Chinese patients with NVAF on a fixed 110 mg DE dose.
  • Measurement of steady-state dabigatran trough and peak plasma concentrations.
  • Statistical analysis to identify covariates affecting concentration and predict clinical outcomes.

Main Results:

  • Significant variability in dabigatran trough concentrations was observed.
  • Age, Body Mass Index (BMI), and history of heart failure were significant covariates for dabigatran trough concentration.
  • Dabigatran trough concentration and a history of hypertension were key predictors of bleeding events.

Conclusions:

  • Dabigatran trough concentration exhibits substantial variability in Chinese NVAF patients.
  • Factors like age, BMI, and heart failure history influence dabigatran levels.
  • Elevated dabigatran trough concentration may independently predict bleeding risk in this population.

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