Clinical pharmacokinetics of nebivolol: a systematic review.
Nida HanifAmmara ZamirImran ImranHamid SaeedAbdul MajeedAnees Ur RehmanWaseem AshrafFaleh AlqahtaniMuhammad Fawad RasoolPublished in: Drug metabolism reviews (2023)
Nebivolol is a beta-1 receptor blocker used to treat hypertension, heart failure, erectile dysfunction, vascular disease, and diabetes mellitus. This review investigated the data regarding pharmacokinetic (PK) parameters, drug-drug interactions, dextrorotatory (D), and levorotatory (L) stereoisomers of nebivolol. The articles related to the PK of nebivolol were retrieved by searching the five databases; Google Scholar, PubMed, Cochrane Library, ScienceDirect, and EBSCO. A total of 20 studies comprising plasma concentration-time profile data following the nebivolol's oral and intravenous (IV) administration were included. The area under the concentration-time curve from zero to infinity (AUC 0-∞ ) was 15 times greater in poor metabolizers (PMs) than in extensive metabolizers (EMs). In hypertensive patients, L-nebivolol expressed a higher maximum plasma concentration (C max ) than D-nebivolol, i.e. 2.5 ng/ml vs 1.2 ng/ml. The AUC 0-∞ of nebivolol was 3-fold greater in chronic kidney disease (CKD). The clearance (CL) was increased in obese than in controls from 51.6 ± 11.6 L/h to 71.6 ± 17.4 L/h when 0.5 mg/ml IV solution was infused. Nebivolol showed higher C max , AUC 0-∞ and half-life (t 1/2 ) when co-administered with bupropion, duloxetine, fluvoxamine, paroxetine, lansoprazole, and fluoxetine. This concise review of nebivolol would be advantageous in assessing all PK parameters, which may be crucial for clinicians to avoid drug-drug interactions, prevent adverse drug events and optimize the dosage regimen in diseased patients diagnosed with hypertension and cardiovascular disorders.
Keyphrases
- blood pressure
- adverse drug
- heart failure
- hypertensive patients
- chronic kidney disease
- end stage renal disease
- big data
- adipose tissue
- emergency department
- palliative care
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- machine learning
- metabolic syndrome
- left ventricular
- bariatric surgery
- weight loss
- insulin resistance
- high resolution
- deep learning
- prognostic factors
- mass spectrometry
- binding protein
- case control