Background: Acute pulmonary exacerbations (APEs) in patients with adult cystic fibrosis (CF) are treated with a beta-lactam and an aminoglycoside for activity against Pseudomonas aeruginosa (PA). Emerging drug resistance and changing pharmacokinetic profile in an aging population involve a reevaluation of tobramycin dosing recommendations. The objective of this study was to develop a population pharmacokinetic model and establish optimal dosing recommendations for tobramycin using Monte Carlo simulations.Methods: This retrospective clinical study and data collection were performed at the CF center of the McGill University Health Center (MUHC), Canada. Model development and simulations were performed using a nonlinear mixed-effect modeling approach (NONMEM, version 7.4.2). The ratios of maximal concentration (C max ) to the minimal inhibitory concentration (MIC) (C max /MIC $8 and $10) and area under the curve (AUC) to the MIC (AUC/MIC $70 and $100) were evaluated.Results: Adult patients with CF (n = 51) treated with tobramycin were included in the study. Plasma concentrations of tobramycin were obtained for 699 samples from the MUHC database. The two-compartmental model best described the pharmacokinetics of tobramycin. The association of patient height with the central volume of distribution significantly improved this model. Height, rather than weight, induced the best reduction in objective function.According to simulations, doses between 3.4 mg/cm and 4.4 mg/ cm were necessary to achieve C max /MIC values of $8 and $10, respectively. However, higher doses were required to achieve the AUC/MIC targets.Conclusions: This study demonstrated that height of the patients seems to be more suitable than their weight for dosing adjustments in adult patients with CF. According to this model, initial doses of tobramycin between 3.4 and 4.4 mg/cm should be recommended for patients with a median height of 164 cm and weight of 55 kg to achieve the target plasma concentrations.
Background Acute pulmonary exacerbation (APE) in cystic fibrosis patients is frequent and associated with a decline in pulmonary function, quality of life and survival. Tobramycin is often used in regimens requiring activity against Pseudomonas aeruginosa, however, an important number of centers do not use official dosing recommendation. The current dosing strategy may be suboptimal. Methods This retrospective cohort analysis was performed on all adult cystic fibrosis patients that were admitted at a tertiary care facility for treatment of APE and with tobramycin between January 2015 and December 2019. The primary objective was to evaluate the predictive performance of previously published pharmacokinetic (PK) models and, secondly, to evaluate potential factors that impact clinical outcomes. Clinical outcomes were only evaluated in a sub-group of patients with cultures positive for P. aeruginosa. Results A total of 202 APEs from 51 patients were included in the PK analysis. Two population PK models were assessed and failed to fit our data. In all, 109 APEs from 32 patients were included in the clinical analysis. Factors that significantly impacted clinical outcome were the number of prior APE and concomitant antibiotics. Clinical success rate for regimens containing at least one active agent against P. aeruginosa according to its susceptibility was 67%. Conclusion Population PK models evaluated in this study cannot be used to perform simulations. A new model must be developed for our population. In patients positive for P. aeruginosa, Ceftazidime in combination to tobramycin may be a superior regimen. APE history remains predictive for outcomes in adult CF patients treated for an APE.
Tobramycin is widely used to treat pulmonary exacerbations of cystic fibrosis. Height has been previously found to be significantly more predictive of tobramycin pharmacokinetics than body weight. This study aimed to develop a height-based initial dosing nomogram and evaluate its performance in peak concentration (Cmax) precision relative to standard and fixed dosing. Monte Carlo simulations were performed to develop a nomogram representing the doses required to reach Cmax targets at different heights. Cmax data observed at 2 clinical centers [McGill University Health Centre (MUHC) and Institut universitaire de cardiologie et pneumologie de Québec (IUCPQ-UL)] were compared with populationpredicted Cmax using the doses derived from the nomogram alongside a fixed dose. Height-based dosing resulted in significantly less variable-predicted Cmax values [coefficient of variation (CV) MUHC = 15.7% and IUCPQ-UL = 10.8%] than the Cmax values observed in clinical practice (CV MUHC = 30.0% and CV IUCPQ-UL = 26.9%) and predicted Cmax values obtained from a fixed dose (CV MUHC = 21.2% and CV IUCPQ-UL = 16.3%). An initial dosing nomogram was developed to help reduce pharmacokinetic variability in the observed Cmax. More precise dosing would allow for better clinical outcomes in adult patients with cystic fibrosis.
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