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Controlled Clinical Trial
. 2019 Oct;58(10):1333-1343.
doi: 10.1007/s40262-019-00762-4.

A Prospective Clinical Study Characterizing the Influence of Morbid Obesity on the Pharmacokinetics of Gentamicin: Towards Individualized Dosing in Obese Patients

Affiliations
Controlled Clinical Trial

A Prospective Clinical Study Characterizing the Influence of Morbid Obesity on the Pharmacokinetics of Gentamicin: Towards Individualized Dosing in Obese Patients

Cornelis Smit et al. Clin Pharmacokinet. 2019 Oct.

Abstract

Background and objective: Gentamicin is an aminoglycoside antibiotic predominantly used in bloodstream infections. Although the prevalence of obesity is increasing dramatically, there is no consensus on how to adjust the dose in obese individuals. In this prospective clinical study, we study the pharmacokinetics of gentamicin in morbidly obese and non-obese individuals to develop a dosing algorithm that results in adequate drug exposure across body weights.

Methods: Morbidly obese subjects undergoing bariatric surgery and non-obese healthy volunteers received one intravenous dose of gentamicin (obese: 5 mg/kg based on lean body weight, non-obese: 5 mg/kg based on total body weight [TBW]) with subsequent 24-h sampling. All individuals had a normal renal function. Statistical analysis, modelling and Monte Carlo simulations were performed using R version 3.4.4 and NONMEM® version 7.3.

Results: A two-compartment model best described the data. TBW was the best predictor for both clearance [CL = 0.089 × (TBW/70)0.73] and central volume of distribution [Vc = 11.9 × (TBW/70)1.25] (both p < 0.001). Simulations showed how gentamicin exposure changes across the weight range with currently used dosing algorithms and illustrated that using a nomogram based on a 'dose weight' [70 × (TBW/70)0.73] will lead to similar exposure across the entire population.

Conclusions: In this study in morbidly obese and non-obese individuals ranging from 53 to 221 kg we identified body weight as an important determinant for both gentamicin CL and Vc. Using a body weight-based dosing algorithm, optimized exposure across the entire population can be achieved, thereby potentially improving efficacy and safety of gentamicin in the obese and morbidly obese population.

Trial registration: Registered in the Dutch Trial Registry (NTR6058).

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Conflict of interest statement

Roger J.M. Brüggemann declares that he has no conflicts of interest with regards to this work. Outside of this work, he has served as consultant to and has received unrestricted research grants from Astellas Pharma Inc., F2G, Gilead Sciences, Merck Sharpe and Dohme Corp., and Pfizer Inc. All payments were invoiced by the Radboud University Medical Center. Cornelis Smit, Roeland E. Wasmann, Sebastiaan C. Goulooze, Eric J. Hazebroek, Eric P.A. Van Dongen, Desiree M.T. Burgers, Johan W. Mouton, and Catherijne A.J. Knibbe declare no conflicts of interest.

Figures

Fig. 1
Fig. 1
Observed gentamicin plasma concentrations (mg/L) versus time after start of infusion (h) for morbidly obese (receiving 5 mg/kg lean body weight, black lines) and non-obese (receiving 5 mg/kg total body weight, grey lines) individuals. Each line represents one individual
Fig. 2
Fig. 2
Individual values (n = 28) for a central volume of distribution (in L) and b clearance (in L/min) versus total body weight from the base model. The black line represents the covariate relation as implemented in the final model (Table 2). CL clearance, TBW total body weight, Vc central volume of distribution
Fig. 3
Fig. 3
Prediction-corrected visual predictive checks of the final model for non-obese (upper left panel) and obese (upper right panel) individuals. The observed concentrations are shown as black circles; the median and 2.5th and 97.5th percentiles of the observed data are shown as the solid and lower and upper dashed lines, respectively. The gray shaded areas show the 95% confidence intervals of the median (dark gray) and 2.5th and 97.5th percentiles (light gray) of the simulated concentrations (n = 1000) based on the original dataset. Lower panels show the observed proportion below the limit of quantification (black dots), where shaded areas represent the 95% confidence interval of the proportion based on the simulated concentrations (n = 1000). LOQ limit of quantification
Fig. 4
Fig. 4
Boxplots (median and 95% confidence interval) representing gentamicin AUC24 (upper panel) and Cmin (lower panel) for different weight categories based on Monte Carlo simulations with six different TBW-, LBW- (calculated with the Janmahasatian formula [18]), and ABW [calculated as IBW + 0.4 × (TBW – IBW)]-based dosing regimens (n = 10,000 per regimen). The proposed nomogram is based on a ‘dose weight’ calculated as 70 × (TBW/70)0.73 (shown in Table 3). The dashed line represents the median value of 5 mg/kg TBW in the < 100 kg group as a target reference for AUC24 (upper panel) or 1 mg/L as a target reference for Cmin (lower panel). ABW adjusted body weight, AUC24 area under the concentration–time curve from time zero to 24 h, Cmin minimum (trough) concentration, LBW lean body weight, TBW total body weight

References

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