Literature DB >> 28070716

Pharmacokinetics and Saturable Absorption of Gabapentin in Nursing Home Elderly Patients.

Ghada F Ahmed1, Sai Praneeth R Bathena1, Richard C Brundage1, Ilo E Leppik1,2,3, Jeannine M Conway1, Janice B Schwartz4, Angela K Birnbaum5,6.   

Abstract

Pharmacokinetic data of gabapentin (GBP) in community-dwelling elderly patients show a significant effect of advanced age on GBP pharmacokinetics due to altered renal function. However, there are no data in elderly nursing home (NH) patients to evaluate gabapentin absorption and elimination. Our objective was to characterize the pharmacokinetics of GBP in elderly nursing home patients maintained on GBP therapy. This was a prospective pharmacokinetic study in elderly nursing home patients (≥60 years) receiving GBP for the management of chronic pain or epilepsy from seven nursing homes. Pharmacokinetic parameters were estimated by nonlinear mixed-effects modeling. A one-compartment model described the data and clearance (CL) was associated with estimated glomerular filtration rate (eGFR) (p < 0.0001). The GBP CL in elderly nursing home patients was 2.93 L/h. After adjusting for the effect of GFR, GBP CL was not affected by age, sex, body weight, or comorbidity scores. No significant effects of body size measures, age, and sex were detected on volume of distribution. Dose-dependent bioavailability of GBP was demonstrated, and the saturable absorption profile was described by a nonlinear hyperbolic function. Prediction-corrected visual predictive check (pc-VPC) suggests adequate fixed- and random-effects models that successfully simulated the mean trend and variability in gabapentin concentration-time profiles. In this analysis, the parameters of the hyperbolic nonlinearity appear to be similar between elderly and younger adults.

Entities:  

Keywords:  elderly patients; gabapentin; nursing home; saturable absorption

Mesh:

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Year:  2017        PMID: 28070716     DOI: 10.1208/s12248-016-0022-z

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


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