Literature DB >> 8626883

Kidney function and age are both predictors of pharmacokinetics of metformin.

N C Sambol1, J Chiang, E T Lin, A M Goodman, C Y Liu, L Z Benet, M G Cogan.   

Abstract

The effects of renal impairment and age on the pharmacokinetics of metformin were evaluated. The subjects, including 6 young, 12 elderly, and 3 middle-age healthy adults and 15 adults with various degrees of chronic renal impairment (CRI) each were given a single, 850-mg metformin HCl tablet. Multiple whole blood, plasma, and urine samples were collected and analyzed for metformin levels using a high-performance liquid chromatography (HPLC) method. In healthy elderly individuals, the plasma and whole blood clearance/absolute bioavailability values [CL/F and (CL/F)b], and corresponding renal clearance values (CLR and CLR,b) of metformin were 35-40% lower than the respective values in healthy young individuals. These two groups did not differ significantly with respect to volume of distribution (Vd), time to peak concentration (tmax), and parameters related to metformin's appearance in the urine. In the moderate and severe CRI groups, all clearance values were 74-78% lower than in the healthy young/middle-age group, and all other evaluable pharmacokinetic parameters (with the exception of tmax) differed significantly in this group. In the mild CRI group, clearance values of metformin, which were 23-33% lower than in the young/middle-age group, were the only parameters that differed significantly. Based on a regression analysis of the combined data, both creatinine clearance (CL*cr; corrected for body surface area) and age are predictors of metformin clearance, with the following model best fitting the data: CL/F [or (CL/F)b, CLR, CLR,b] = alpha + beta.CL*cr + gamma.CL*cr.age. Metformin should not be used in patients with moderate and severe CRI, or in patients with mild, but not absolutely stable, renal impairment. The initial and maximum doses in elderly patients and patients with stable mild CRI should be lowered to approximately one third that given to the general (i.e., patients without non-insulin-dependent diabetes) population.

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Year:  1995        PMID: 8626883     DOI: 10.1002/j.1552-4604.1995.tb04033.x

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  43 in total

1.  Population pharmacokinetics of metformin in obese and non-obese patients with type 2 diabetes mellitus.

Authors:  Christophe Bardin; Estelle Nobecourt; Etienne Larger; François Chast; Jean-Marc Treluyer; Saik Urien
Journal:  Eur J Clin Pharmacol       Date:  2012-01-25       Impact factor: 2.953

2.  Metformin use in the first year after kidney transplant, correlates, and associated outcomes in diabetic transplant recipients: A retrospective analysis of integrated registry and pharmacy claims data.

Authors:  L S Vest; F M Koraishy; Z Zhang; N N Lam; M A Schnitzler; V R Dharnidharka; D Axelrod; A S Naik; T A Alhamad; B L Kasiske; G P Hess; K L Lentine
Journal:  Clin Transplant       Date:  2018-06-29       Impact factor: 2.863

Review 3.  Use of metformin in diseases of aging.

Authors:  John M Miles; Andrew D Rule; Barry A Borlaug
Journal:  Curr Diab Rep       Date:  2014-06       Impact factor: 4.810

4.  Role of age-related decrease of renal organic cation transporter 2 in the effect of atenolol on renal excretion of metformin in rats.

Authors:  Jiangxia Ren; Yan Zhou; Guoqiang Zhang; Liting Zhou; Jing Zhao; Yuhui Wei; Xin'an Wu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2014-07-01       Impact factor: 2.441

Review 5.  Metformin in patients with type 2 diabetes and kidney disease: a systematic review.

Authors:  Silvio E Inzucchi; Kasia J Lipska; Helen Mayo; Clifford J Bailey; Darren K McGuire
Journal:  JAMA       Date:  2014 Dec 24-31       Impact factor: 56.272

6.  Toxicokinetics of metformin-associated lactic acidosis with continuous renal replacement therapy.

Authors:  Muhammad Mujtaba; Abdallah Sassine Geara; Machaiah Madhrira; Rajesh Agarwala; Herman Anderson; Jen-Tse Cheng; Sumit Mohan
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2012-08-29       Impact factor: 2.441

7.  Influences of organic cation transporter polymorphisms on the population pharmacokinetics of metformin in healthy subjects.

Authors:  Hwa Yoon; Hea-Young Cho; Hee-Doo Yoo; Se-Mi Kim; Yong-Bok Lee
Journal:  AAPS J       Date:  2013-02-16       Impact factor: 4.009

8.  Prediction of drug disposition in diabetic patients by means of a physiologically based pharmacokinetic model.

Authors:  Jia Li; Hai-Fang Guo; Can Liu; Zeyu Zhong; Li Liu; Xiao-Dong Liu
Journal:  Clin Pharmacokinet       Date:  2015-02       Impact factor: 6.447

Review 9.  Update on the treatment of type 2 diabetes mellitus.

Authors:  Juan José Marín-Peñalver; Iciar Martín-Timón; Cristina Sevillano-Collantes; Francisco Javier Del Cañizo-Gómez
Journal:  World J Diabetes       Date:  2016-09-15

Review 10.  Drug dosage in the elderly. Is it rational?

Authors:  K Turnheim
Journal:  Drugs Aging       Date:  1998-11       Impact factor: 3.923

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