A new population model was described for trauma patients to optimize vancomycin therapy, showing precise predictive performance to be applied for therapeutic drug monitoring and providing a new practical dose guideline that considers CLCR and concomitant administration of furosemide for these patients.
The aim of this study was to characterize and validate the population pharmacokinetics of gentamicin in infants and to determine the influences of clinically relevant covariates to explain the inter-and intraindividual variabilities associated with this drug. Infants receiving intravenous gentamicin and with routine therapeutic drug monitoring were consecutively enrolled in the study. Plasma concentration and time data were retrospectively collected from 208 infants (1 to 24 months old) of the Hospital Universitario Severo Ochoa (Spain), of whom 44% were males (mean age [؎ standard deviation], 5.8 ؎ 4.8 months; mean body weight, 6.4 ؎ 2.2 kg). Data analysis was performed with NONMEM 7.2. One-and two-compartment open models were analyzed to estimate the gentamicin population parameters and the influences of several covariates. External validation was carried out in another population of 55 infants. The behavior of gentamicin in infants exhibits two-compartment pharmacokinetics, with total body weight being the covariate that mainly influences central volume (V c ) and clearance (CL); this parameter was also related to creatinine clearance. Both parameters are age related and different from those reported for neonatal populations. On the basis of clinical presentation and diagnosis, a once-daily dosage regimen of 7 mg/kg of body weight every 24 h is proposed for intravenous gentamicin, followed by therapeutic drug monitoring in order to avoid toxicity and ensure efficacy with minimal blood sampling. Gentamicin pharmacokinetics and disposition were accurately characterized in this pediatric population (infants), with the parameters obtained being different from those reported for neonates and children. These differences should be considered in the dosing and therapeutic monitoring of this antibiotic.
The aim of this work was to evaluate the pharmacokinetics of amikacin in Mexican patients with different renal functions receiving once-daily dosing regimens and the influence of clinical and demographical covariates that may influence the optimization of this antibiotic. A prospective study was performed in a total of 63 patients with at least one determination of amikacin plasma concentration. Population pharmacokinetic (PK) parameters were estimated by nonlinear mixed-effects modeling; validations were performed for dosing recommendation purposes based on PK/pharmacodynamic simulations. The concentration-versus-time data were best described by a one-compartment open model with proportional interindividual variability associated with amikacin clearance (CL) and volume of distribution (V); residual error followed a homoscedastic trend. Creatinine clearance (CLCR) and ideal body weight (IBW) demonstrated significant influence on amikacin CL and V, respectively. The final model [CL (liters/h) = 7.1 × (CLCR/130)0.84 and V (liters) = 20.3 × (IBW/68)2.9] showed a mean prediction error of 0.11 mg/liter (95% confidence interval, −3.34, 3.55) in the validation performed in a different group of patients with similar characteristics. There is a wide variability in amikacin PK parameters in Mexican patients. This leads to inadequate dosing regimens, especially in patients with augmented renal clearance (CLCR of >130 ml/min). Optimization based on the final population PK model in Mexican patients may be useful, since reliability and clinical applicability have been demonstrated in this study.
Tuberculosis (TB) remains a major public health issue due to the increasing incidence of type 2 diabetes mellitus (T2DM), which exacerbates the clinical course of TB and increases the risk of poor long-term outcomes. The aim of this study was to characterize the pharmacokinetics of rifampin (RIF) and its relationship with biochemical and immunological parameters in patients with TB and T2DM. The biochemical and immunological parameters were assessed on the same day that the pharmacokinetic evaluation of RIF was performed. Factors related to the metabolic syndrome that is characteristic of T2DM patients were not detected in the TB-T2DM group (where predominant malnutrition was present) or in the TB group. Percentages of CD8؉ T lymphocytes and NK cells were diminished in the TB and TB-T2DM patients, who had high tumor necrosis factor alpha (TNF-␣) and low interleukin-17 (IL-17) levels compared to healthy volunteers. Delayed RIF absorption was observed in the TB and TB-T2DM patients; absorption was poor and slower in the latter group due to poor glycemic control. RIF clearance was also slower in the diabetic patients, thereby prolonging the mean residence time of RIF. There was a significant association between glycemic control, increased TNF-␣ serum concentrations, and RIF pharmacokinetics in the TB-T2DM patients. These altered metabolic and immune conditions may be factors to be considered in anti-TB therapy management when TB and T2DM are concurrently present.
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