In this study, which involved on average only two serum concentrations of caffeine per patient, the use of NONMEM gave us significant and consistent information about the pharmacokinetic profile of caffeine when compared with available bibliographic information. Additionally, parenteral nutrition and low gestational age (< or = 28 weeks) may even come to be considered as risk factors, and their presence may serve as an indicator of the need for periodic monitoring of caffeine concentrations in premature infants.
Digoxin pharmacokinetics were studied in a pediatric population with an age range of 6 days to 1 year using the population pharmacokinetic approach. Digoxin data were analyzed by mixed-effects modeling according to a one-compartment steady-state pharmacokinetic model using NONMEM software. The final model selected for the population prediction of digoxin clearance in pediatric patients was as follows: [equation: see text] Individual empirical Bayesian estimates were generated on the basis of the population estimates and were used to correlate the optimum dose of digoxin and patient age according to the following equation: [equation: see text] This equation and its derived nomogram may be used for the initial dosing of digoxin in children aged between 0 and 1 year. The use of this nomogram in routine monitoring requires further pharmacokinetic and clinical validation.
Warfarin is a 4-hydroxycoumarin anticoagulant drug used for the prevention and management of thromboembolic and vascular diseases. It acts through the inhibition of the vitamin K-dependent transcarboxylation reactions that convert precursors of clotting factors into their active form. Appropriate use of warfarin requires patient monitoring and dosage adjustments, to ensure its safety and efficacy. The aim of this work was to clarify the relationship between traditional (prothrombin time, usually expressed as the international normalized ratio; INR) and alternative (clotting factors II and X) warfarin response markers to establish their usefulness for therapeutic drug monitoring. Seventy adult outpatients, aged between 31 and 86 years old, were involved in the study. All subjects received warfarin in a monotherapy regimen and had been on a stable dosing schedule for at least two weeks to assure a steady-state condition. A total of 81 prothrombin times (expressed as INR), and factor II and factor X activity were simultaneously determined. Eleven patients presented repeated measurements at different time periods under the same dosing regimen. The results obtained from regression and cluster analysis showed a close relationship between factors II and X (r = 0.73), a weak correlation between INR and both factor II (r = -0.35) and factor X (r = -0.36), and a very slight dependency between warfarin and the response markers used. In addition, it seems that independent of the selected response marker, in long-term warfarin therapy, reproducible responses can be obtained over time if a steady-state condition is achieved. The coefficients of variation for factors II and X were greater (35.44 and 37.93%, respectively) than INR (14.50%), indicating that INR is a more precise measure than either factor II or factor X. In conclusion, INR appears to be the most appropriate warfarin response marker for therapeutic drug monitoring due to its universality, objectivity as a direct physiological effect measurement, and the available information regarding appropriate endpoints. However, when INR values are not in accordance with patient response therapy, factor II and factor X should be considered as an alternative to optimize warfarin therapy.
The disposition kinetics of a single i.v. dose of amikacin was studied in 6 neonates (6-25 days old), 10 infants (4-18 months) and 8 young children (3-11 years). There was a progressive change in the distribution and elimination kinetics during development. The distribution coefficient of the antibiotic averaged of 0.429, 0.320 and 0.210 l/kg in the newborns, infants and young children, respectively and serum half-life (t1/2 beta) in these three groups averaged 2.812, 1.803 and 1.196 h, respectively. Significant differences in certain pharmacokinetic parameters were found between the values in paediatric patients and in adults receiving the same dose. A linear relationship was established between the distribution volume of the antibiotic and the weight of the patients, as defined by the following equation: Vdss (1) = 0.976 + 0.140 . TBW (kg); r = 0.954. The results suggest that a regimen of very frequent administrations should be employed in infants and young children in order to maintain a therapeutic level throughout treatment.
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