Glibenclamide population pharmacokinetic/pharmacodynamic modeling in South African type 2 diabetic subjects
Virendra Rambiritch,1 Poobalan Naidoo,2 Goonaseelan Pillai3 1Pharmacology Department, University of KwaZulu-Natal, Durban, 2Department of Internal Medicine, RK Khan Regional Hospital, Chatsworth, South Africa; 3Scientific Capability Development, Novartis Pharma AG, Basel, Switzerland Aim: To determi...
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| Format: | Book |
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Dove Medical Press,
2016-09-01T00:00:00Z.
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| Summary: | Virendra Rambiritch,1 Poobalan Naidoo,2 Goonaseelan Pillai3 1Pharmacology Department, University of KwaZulu-Natal, Durban, 2Department of Internal Medicine, RK Khan Regional Hospital, Chatsworth, South Africa; 3Scientific Capability Development, Novartis Pharma AG, Basel, Switzerland Aim: To determine the effective dose of glibenclamide by quantifying the dose–response relationship in South African type 2 diabetic patients.Patients and methods: A total of 24 type 2 diabetic patients participated in a glibenclamide dose-escalation study during which glibenclamide, glucose, and insulin concentrations were quantified, while the dose of glibenclamide was progressively increased. All except four subjects contributed data on all dose-escalation steps; however, data from all 24 patients were included in the model-based analysis. Pharmacokinetic/pharmacodynamic (PKPD) relationships were modeled using the software Nonmem®. Six models were utilized to explore the effect of alternative glibenclamide dose and plasma concentration inputs on various metrics of glucose response.Results: Six models adequately described the experimental data. The effective dose for a glucose-lowering effect suggested by PKPD modeling is less than 5 mg/day. Doses beyond 5 mg/day do not meaningfully add to glibenclamide effects on blood-glucose response.Conclusion: The effective dose of glibenclamide, suggested by PKPD modeling, is less than 5 mg/day. Higher doses of glibenclamide, eg, 15 mg/day as originally recommended by the manufacturer, do not produce further decrease in the blood glucose level but may predispose the patients to adverse effects. Keywords: type 2 diabetes, glibenclamide, pharmacokinetic/pharmacodynamic modeling, dose–response relationships, Nonmem |
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| Item Description: | 1179-1438 |