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Clinical pharmacokinetics of nadolol: A systematic review
Samia Kalsoom1, Ammara Zamir1, Anees Ur Rehman1
1Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan.
What Is Known And Objective:
Nadolol is a non-selective beta-adrenergic antagonist that is used for the treatment of hypertension and angina. The primary route for its administration is oral. It is given once daily as it has a longer half-life (t½). The purpose of conducting this systematic review is to provide a comprehensive view of all the available pharmacokinetic (PK) data on nadolol in humans. This review aimed to systematically collate and analyze publish data on the clinical PK of nadolol in humans and this can be beneficial for the clinicians in dosage adjustments.
Methods:
Two electronic databases PubMed and Google Scholar were used for conducting a systematic literature search. All the relevant articles containing PK data of nadolol in humans were retrieved. A total of 1275 articles were searched from both databases and after applying eligibility criteria finally, 22 articles were included for conducting the systematic review.
Results And Discussion:
The area under the plasma concentration curve (AUC) and maximum plasma concentration (Cmax ) of nadolol increased in a dose-dependent manner. The t½ of nadolol was increased to double (18.2-68.6 h) in the patients with chronic kidney disease while the serum t½ became shorter (3.2-4.3 h) when administered to the children. The bioavailability of nadolol was greatly reduced by the coadministration of green tea. Nadolol can be effectively removed by hemodialysis. It undergoes enterohepatic circulation thus activated charcoal decreased its bioavailability.
What Is New And Conclusion:
Since, there is no previous report of a systematic review on the PK of nadolol, the current review encompasses all the relevant published articles on nadolol in humans. The analysis and understanding of PK parameters (AUC, Cmax , and t½) of nadolol may be helpful in the development and evaluation of PK models.
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