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Optimal dosing of gliclazide-A model-based approach.
Mim, Sabiha R; Hussein, Haneen; Vidadi, Samira; Leisegang, Rory; Karamchand, Sumanth; Rambiritch, Virendra; Cotton, Mark F; Naidoo, Poobalan; Kjellsson, Maria C.
Afiliación
  • Mim SR; Pharmacometric Research Group, Department of Pharmacy, Uppsala University, Uppsala, Sweden.
  • Hussein H; Pharmacometric Research Group, Department of Pharmacy, Uppsala University, Uppsala, Sweden.
  • Vidadi S; Pharmacometric Research Group, Department of Pharmacy, Uppsala University, Uppsala, Sweden.
  • Leisegang R; Pharmacometric Research Group, Department of Pharmacy, Uppsala University, Uppsala, Sweden.
  • Karamchand S; Family Center for Research with Ubuntu, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, South Africa.
  • Rambiritch V; Division of Cardiology, Stellenbosch University, Stellenbosch, South Africa.
  • Cotton MF; Discipline of Pharmaceutical Science, University of KwaZulu-Natal, Durban, South Africa.
  • Naidoo P; Family Center for Research with Ubuntu, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, South Africa.
  • Kjellsson MC; Department of Nephrology, Inkosi Albert Luthuli Central Hospital, KwaZulu-Natal, South Africa, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Basic Clin Pharmacol Toxicol ; 133(1): 59-72, 2023 Jul.
Article en En | MEDLINE | ID: mdl-36999176
ABSTRACT
Gliclazide was approved as a treatment for type 2 diabetes in an era before model-based drug development, and consequently, the recommended doses were not optimised with modern methods. To investigate various dosing regimens of gliclazide, we used publicly available data to characterise the dose-response relationship using pharmacometric models. A literature search identified 21 published gliclazide pharmacokinetic (PK) studies with full profiles. These were digitised, and a PK model was developed for immediate- (IR) and modified-release (MR) formulations. Data from a gliclazide dose-ranging study of postprandial glucose were used to characterise the concentration-response relationship using the integrated glucose-insulin model. Simulations from the full model showed that the maximum effect was 44% of the patients achieving HbA1c <7%, with 11% experiencing glucose <3 mmol/L and the most sensitive patients (i.e., 5% most extreme) experiencing 35 min of hypoglycaemia. Simulations revealed that the recommended IR dose (320 mg) was appropriate with no efficacy gain with increased dose. However, the recommended dose for the MR formulation may be increased to 270 mg, with more patients achieving HbA1c goals (i.e., HbA1c <7%) without a hypoglycaemic risk higher than the resulting risk from the recommended IR dose.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Gliclazida Límite: Humans Idioma: En Revista: Basic Clin Pharmacol Toxicol Asunto de la revista: FARMACOLOGIA / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Gliclazida Límite: Humans Idioma: En Revista: Basic Clin Pharmacol Toxicol Asunto de la revista: FARMACOLOGIA / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Suecia