Drug interaction as a predictor of direct oral anticoagulant drug levels in atrial fibrillation patients.
Bruria Hirsh RaccahAmihai RottenstreichNetanel ZacksMordechai MuszkatIlan MatokAmichai PerlmanYosef KalishPublished in: Journal of thrombosis and thrombolysis (2018)
Data are limited on the effects of drug interactions on direct-acting oral anticoagulant (DOAC) levels. We evaluated the effects of the use of interacting drugs on DOAC levels in patients with atrial fibrillation (AF). We reviewed data of AF patients tested for DOAC levels in 2013-2017. The primary outcomes were drug levels exceeding the expected steady-state range, and in the highest quartile. A multivariate analysis was performed to evaluate the correlation of treatment by the use of interacting drugs, CYP3A4 and P-glycoprotein (P-gp) inhibitors, with the primary outcomes. Overall, 147 patients underwent DOAC level measurement [dabigatran (n = 31), rivaroxaban (n = 29), apixaban (n = 87)]. Thirty-three (22.4%) had drug levels exceeding the expected range. Seventy-nine (53.7%) patients were treated with at least one interacting drug. In multivariate analysis, the concomitant use of interacting drugs was an independent predictor for drug levels exceeding the expected range (OR 3.3, 95% CI 1.20-9.05). The defined daily dose of the interacting drug correlated positively with DOAC levels (r = 0.29, P = 0.001). Co-treatment with interacting drugs was associated with extremely high levels of dabigatran, (OR 16.6, 95% CI 1.29-215.18) but not of the other DOAC examined. Concomitant use of interacting drugs is associated with high DOAC levels in patients with AF. Further investigation is warranted to establish the differences between specific DOAC, evaluate the effect on patient outcomes, and characterize the role of DOAC monitoring in this setting.
Keyphrases
- atrial fibrillation
- direct oral anticoagulants
- end stage renal disease
- venous thromboembolism
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- drug induced
- peritoneal dialysis
- type diabetes
- oral anticoagulants
- catheter ablation
- patient reported outcomes
- coronary artery disease
- skeletal muscle
- left ventricular
- deep learning
- pulmonary embolism
- adverse drug
- big data