Clopidogrel resistance: role of body mass and concomitant medications

Gergely Feher1, Katalin Koltai, Balint Alkonyi

  • 1First Department of Medicine, University of Pecs, Medical School, Pecs, Hungary. gergely.feher@aok.pte.hu

Insights

Clopidogrel resistance in cardiovascular patients is linked to higher BMI and use of benzodiazepines or SSRIs. Adjusting clopidogrel dosage by weight may improve treatment effectiveness.

Area of Science:

  • Cardiology
  • Pharmacology
  • Thrombosis Research

Background:

  • Platelets are crucial in arterial thrombosis, making antiplatelet therapy a cornerstone of cardiovascular disease management.
  • Clopidogrel resistance is an emerging clinical concern, yet its underlying mechanisms require further elucidation.

Purpose of the Study:

  • To compare patient characteristics associated with effective versus ineffective clopidogrel platelet inhibition.
  • To identify factors contributing to clopidogrel resistance in patients with cardiovascular diseases.

Main Methods:

  • A study involving 157 patients with chronic cardio- and cerebrovascular diseases on daily clopidogrel (75 mg, without aspirin).
  • Comparison of risk profiles, medical history, medications, hemorheological variables, and plasma markers between responsive and resistant groups.
  • Statistical analysis to identify independent predictors of clopidogrel resistance.

Main Results:

  • Clopidogrel resistance (22% of patients) was associated with significantly higher Body Mass Index (BMI).
  • Patients with ineffective platelet inhibition were more likely to be taking benzodiazepines and selective serotonin reuptake inhibitors (SSRIs).
  • Higher BMI, benzodiazepine use, and SSRI use were independently associated with clopidogrel resistance.

Conclusions:

  • The mechanisms of clopidogrel resistance are multifactorial, potentially involving drug interactions affecting bioavailability.
  • Significant differences in BMI suggest that clopidogrel therapy may require weight-based adjustments for optimal efficacy.
  • Identifying patients at risk for resistance based on BMI and concomitant medications is crucial for personalized antiplatelet therapy.
Abstract

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