Author/Authors :
C. Ceacareanu, Alice Department of Pharmacy Practice - NYS Center of Excellence in Bioinformatics and Life Sciences - University at Buffalo, Buffalo, NY, USA , W. Brown, Geoffrey Department of Pharmacy Practice - NYS Center of Excellence in Bioinformatics and Life Sciences - University at Buffalo, Buffalo, NY, USA , A. Moussa, Hoda Clinical Services - ROAKETIN Inc., Buffalo, NY, USA , A. P. Wintrob, Zachary Department of Pharmacy - Roswell Park Cancer Institute, Buffalo, NY, USA
Abstract :
Objective: We aimed to estimate the metformin‐associated lactic acidosis (MALA)
risk by assessing retrospectively the renal clearance variability and applying
a pharmacokinetic (PK) model of metformin clearance in a population
diagnosed with acute myeloid leukemia (AML) and diabetes mellitus (DM).
Methods: All adults with preexisting DM and newly diagnosed AML at Roswell
Park Cancer Institute were reviewed (January 2003–December 2010, n = 78).
Creatinine clearance (CrCl) and total body weight distributions were used in a
two‐compartment PK model adapted for multiple dosing and modified to account
for actual intra‐ and inter‐individual variability. Based on this renal function
variability evidence, 1000 PK profiles were simulated for multiple metformin
regimens with the resultant PK profiles being assessed for safe CrCl thresholds.
Findings: Metformin 500 mg up to three times daily was safe for all simulated
profiles with CrCl ≥25 mL/min. Furthermore, the estimated overall MALA risk was
below 10%, remaining under 5% for 500 mg given once daily. CrCl ≥65.25 mL/min
was safe for administration in any of the tested regimens (500 mg or 850 mg up to
three times daily or 1000 mg up to twice daily). Conclusion: PK simulation‐guided
prescribing can maximize metformin’s beneficial effects on cancer outcomes while
minimizing MALA risk.
Keywords :
Acute leukemia , Metformin , Metformin‐associated lactic acidosis , pharmacokinetics