Netilmicin in the neonate: population pharmacokinetic analysis and dosing recommendations

Does "Birth" as an Event Impact Maturation Trajectory of Renal Clearance via Glomerular Filtration? Reexamining Data in Preterm and Full-Term Neonates by Avoiding the Creatinine Bias

Glomerular filtration rate (GFR) is an important measure of renal function. Various models for its maturation have recently been compared; however, these have used markers, which are subject to different renal elimination processes. Inulin clearance data (a purer probe of GFR) collected from the literature were used to determine age‐related changes in GFR aspects of renal drug excretion in pediatrics. An ontogeny model was derived using a best‐fit model with various combinations of covariates such as postnatal age, gestational age at birth, and body weight. The model was applied to the prediction of systemic clearance of amikacin, gentamicin, vancomycin, and gadobutrol. During neonatal life, GFR increased as a function of both gestational age at birth and postnatal age, hence implying an impact of birth and a discrepancy in GFR for neonates with the same postmenstrual age depending on gestational age at birth (ie, neonates who were outside the womb longer had higher GFR, on average). The difference in GFR between pre‐term and full‐term neonates with the same postmenstrual age was negligible from beyond 1.25 years. Considering both postnatal age and gestational age at birth in GFR ontogeny models is important because postmenstrual age alone ignores the impact of birth. Most GFR models use covariates of body size in addition to age. Therefore, prediction from these models will also depend on the change in anthropometric characteristics with age. The latter may not be similar in various ethnic groups, and this makes the head‐to‐head comparison of models very challenging.

Reviewing the WHO guidelines for antibiotic use for sepsis in neonates and children

Background Guidelines from 2005 for treating suspected sepsis in low- and middle-income countries (LMIC) recommended hospitalisation and prophylactic intramuscular (IM) or intravenous (IV) ampicillin and gentamicin. In 2015, recommendations when referral to hospital is not possible suggest the administration of IM gentamicin and oral amoxicillin. In an era of increasing antimicrobial resistance, an updated review of the appropriate empirical therapy for treating sepsis (taking into account susceptibility patterns, cost and risk of adverse events) in neonates and children is necessary. Methods Systematic literature review and international guidelines were used to identify published evidence regarding the treatment of (suspected) sepsis. Results Five adequately designed and powered studies comparing antibiotic treatments in a low-risk community in neonates and young infants in LMIC were identified. These addressed potential simplifications of the current WHO treatment of reference, for infants for whom admission to inpatient care was not possible. Research is lacking regarding the treatment of suspected sepsis in neonates and children with hospital-acquired sepsis, despite rising antimicrobial resistance rates worldwide. Conclusions Current WHO guidelines supporting the use of gentamicin and penicillin for hospital-based patients or gentamicin (IM) and amoxicillin (oral) when referral to a hospital is not possible are in accordance with currently available evidence and other international guidelines, and there is no strong evidence to change this. The benefit of a cephalosporin alone or in combination as a second-line therapy in regions with known high rates of non-susceptibility is not well established. Further research into hospital-acquired sepsis in neonates and children is required.

Pharmacometric Approaches to Personalize Use of Primarily Renally Eliminated Antibiotics in Preterm and Term Neonates

Sepsis remains a major cause of mortality and morbidity in neonates, and, as a consequence, antibiotics are the most frequently prescribed drugs in this vulnerable patient population. Growth and dynamic maturation processes during the first weeks of life result in large inter- and intrasubject variability in the pharmacokinetics (PK) and pharmacodynamics (PD) of antibiotics. In this review we (1) summarize the available population PK data and models for primarily renally eliminated antibiotics, (2) discuss quantitative approaches to account for effects of growth and maturation processes on drug exposure and response, (3) evaluate current dose recommendations, and (4) identify opportunities to further optimize and personalize dosing strategies of these antibiotics in preterm and term neonates. Although population PK models have been developed for several of these drugs, exposure-response relationships of primarily renally eliminated antibiotics in these fragile infants are not well understood, monitoring strategies remain inconsistent, and consensus on optimal, personalized dosing of these drugs in these patients is absent. Tailored PK/PD studies and models are useful to better understand relationships between drug exposures and microbiological or clinical outcomes. Pharmacometric modeling and simulation approaches facilitate quantitative evaluation and optimization of treatment strategies. National and international collaborations and platforms are essential to standardize and harmonize not only studies and models but also monitoring and dosing strategies. Simple bedside decision tools assist clinical pharmacologists and neonatologists in their efforts to fine-tune and personalize the use of primarily renally eliminated antibiotics in term and preterm neonates.

Population pharmacometrics in support of analgesics studies

Population pharmacometric modeling is used to explain both population trends as well as the sources and magnitude of variability in pharmacokinetic and pharmacodynamics data; the later, in part, by taking into account patient characteristics such as weight, age, renal function and genetics. The approach is best known for its ability to analyze sparse data, i.e. when only a few measurements have been collected from each subject, but other benefits include its flexibility and the potential to construct more detailed models than those used in the traditional individual curve fitting approach. This review presents the basic concepts of population pharmacokinetic and pharmacodynamic modeling and includes several analgesic drug examples. In addition, the use of these models to design and optimize future studies is discussed. In this context, finding the best design factors, such as the sampling times or the dose, for future studies within pre-defined criteria using a previously constructed population pharmacokinetic model can help researchers acquire clinically meaningful data without wasting resources and unnecessarily exposing vulnerable patient groups to study drugs and additional blood sampling.

Population pharmacokinetic analysis during the first 2 years of life: an overview

Three decades after its introduction, pharmacokinetic population approaches have become a reference method for drug modelling, particularly in paediatrics. The main practical limitation in this specific population is the collected blood volume. Pharmacokinetic population approaches using sparse sampling may resolve this issue. The pharmacokinetics of many drugs have been studied during the last 25 years using such methods. This review summarizes all of the published studies concerning population pharmacokinetic approaches in paediatric subjects from neonate to 2 years old. A literature search was conducted using the PubMed database, from 1985 to December 2010, using the following terms: pharmacokinetic(s), population, paediatric/pediatric and neonate(s). Articles were excluded if they were not pertinent according to our criteria. References of all relevant articles were also evaluated. Ninety-eight studies were included in this review. The following information was extracted from the articles: drug name, therapeutic class, population size, age of patients, number of samples per patient, covariates used for clearance and volume of distribution estimates, software used for modelling and validation methods. An increasing rate of publications over the years was observed; 44 different drugs were studied using a pharmacokinetic population approach. Antibacterials were the most studied class of drugs, including a large number of studies devoted to vancomycin and gentamicin. It must be underlined that few studies have been performed on anticonvulsant drugs and anaesthetics used in clinical daily practice conditions.

Individualising netilmicin dosing in neonates

PURPOSE

The aim of this study was develop an optimal dosing regimen for netilmicin in neonates.

METHODS

This was a population pharmacokinetic study in 97 neonates aged from 2 to 28 days after the due date who were being treated with netilmicin for suspected sepsis. The model was used to simulate dosing regimens.

RESULTS

The principle factors influencing netilmicin clearance (CL) were postmenstrual age (PMA) and current body weight (CWT), and the principal determinant of volume of distribution (V) was CWT. The final covariate model was CL = 0.192 x (CWT/2)(1.35) x (PMA/40)(1.03), V = 1.5 x (CWT/2)(0.3). The optimal dosing was 5 mg/kg ever 36 h, 5 mg/kg every 24 h, 6 mg/kg every 24 h and 7 mg/kg every 24 h for neonates < or =27, 28-30, 31-33 and > or =34 weeks PMA, respectively.

CONCLUSION

Individualisation of netilmicin dosing in neonates requires adjustment of dose by body weight, and dosing interval by both PMA and CWT.

Pharmacokinetics of a netilmicin loading dose on the first postnatal day in preterm neonates with very w gestational age

OBJECTIVE

Pharmacokinetic parameters are important for dose adjustment of aminoglycosides, but they are highly variable in neonates. In this study the pharmacokinetics of a netilmicin loading dose was investigated on the first postnatal day in preterm neonates with very low gestational age (GA).

METHODS

In an open prospective study, 20 neonates with GA between 22.9 and 32.0 weeks and suspected postnatal bacterial infection received an intravenous loading dose of 5 mg/kg netilmicin over 1 h during the first postnatal day. Netilmicin serum concentrations were determined by an enzyme multiplied immunoassay.

RESULTS

The systemic clearance of netilmicin normalized to body weight (BW) was not significantly different in three GA subgroups (0.59+/- 0.02 ml/min/kg for GA <24 weeks, 0.72+/-0.14 ml/min/kg for GA 24-27 weeks, and 0.62+/-0.19 ml/min/kg for GA 27-32 weeks, P=0.123). Similar results were also obtained for serum elimination half-time and for the distribution volume normalized to BW. Multiple regression analysis showed that systemic clearance and volume of distribution (both not normalized to BW) significantly correlated with BW (P<0.0001) but not with GA. In the entire group, 20% of peak concentrations were below the target of 6 mg/l, and 63% of trough concentrations were above the target of 2 mg/l.

CONCLUSION

In neonates with very low GA, the pharmacokinetic parameters of netilmicin determined after an intravenous loading dose were not dependent on GA when normalized to BW. A number of neonates did not reach targeted peak and trough netilmicin serum concentrations, suggesting that a higher loading dose and a prolonged dosing interval might enhance the effectiveness and safety of netilmicin in preterm neonates immediately after birth.

Validation of a simplified netilmicin dosage regimen in infants

The aim of this study was to validate a simplified high-dosage, extended-interval netilmicin dosage regimen for infants. A total of 129 infants receiving 163 treatment courses of netilmicin (6 mg kg every 24 or 36 h depending on gestational age (GA), postnatal age and postmenstrual age) was analysed. Serum netilmicin concentrations were monitored before (Cmin), 30 min (C0.5h) after and 7.5 h (C7.5h) after the third dose. In 110 patients during first week of life mean C0.5h was 10.5 mg/l. Mean C0.5h was significantly lower (9.0 mg/l) in 38 infants older than 1 week of age. 14 of 15 patients with Cmin levels > or = 2 mg/l receiving netilmicin every 36 h were < 28 weeks of gestation. In the first week of life significant correlations between GA and elimination half-life (p < 0.001) and between plasma creatinine and elevated Cmin (p < 0.002) were found, but no correlation between C0.5h and GA. In this high-dosage regimen a dosing interval of 48 h for GA < 29 weeks, 36 h for GA 29-36 weeks and 24 h for full term babies seems appropriate, during first week of life, to avoid the majority of elevated trough levels and still obtain maximal therapeutic efficacy.

Impact of model misspecification at design (and/or) estimation step in population pharmacokinetic studies

The aim of this work is to quantitatively assess the impact of structural model misspecifications on the estimates of mean and interindividual variability of clearance in the context of population approaches. This assessment is conducted from simulated datasets. Our results show that impact magnitude of model misspecification on the estimates depends on the step at which it occurs (design optimization and/or estimation), on the hyperparameter of interest, and on the estimation method. Bias and precision might be affected differently as well as powers of model discrimination tests. Some practical guidelines for reducing impact of model misspecifications are also suggested.

Population pharmacokinetics of netilmicin in short-term prophylactic treatment

AIMS

To characterize the population pharmacokinetics of netilmicin, an aminoglycoside antibiotic, in adult urology patients and to develop a covariate model for improved dose titration.

METHODS

Data from 62 adult patients (55 male, seven female), undergoing urological surgery and treated with netilmicin for short-term prophylaxis, were evaluated retrospectively. The group had (median, range) ages 68, 31-92 years, weights 72, 43-106 kg and heights 167, 148-182 cm. No patient showed renal impairment before netilmicin treatment (serum creatinine </=1.9 mg dl-1). Netilmicin (100 mg) was administered as a maximum of four successive intravenous infusions of 30 min, at 8-h intervals. A total of five blood samples were collected from each patient. Prior to analysis, the dataset was divided into 'index' (n = 44) and 'validation' (n = 18) groups at random. The time courses of netilmicin concentrations from all subjects were analysed using a mixed effects, population, nonlinear modelling package (WinNonMix). For covariate model development, a stepwise procedure was used with backward elimination followed by forward inclusion based on age, sex, weight, height, creatinine clearance and type of surgery. The final covariate model parameters from the index group were used to simulate concentrations in the validation group and the bias and precision were compared with the observations.

RESULTS

A bi-compartmental open model with a proportional residual error best described the data. The population parameters for central and peripheral volumes of distribution were (typical population value [interindividual CV%]) Vc = 14.5 l [56%] and Vp = 10.2 l [not estimated], and the systemic and intercompartmental clearances were CL = 3.9 l h-1[42%] and CLQ = 10.1 l h-1[not estimated], respectively. The final population covariate relationships were based on sex (SEX) and creatinine clearance (CrCL): (Vc, l) = 18.9 - 5.9 x SEX [29%] and (CL, l h-1) = 0.06 x CrCL [33%]. Compared with the observations in the validation group, this model showed a bias (95% confidence interval) of -0.028 (-0.28, 0.25) and precision of 1.22 (0.78, 1.34).

CONCLUSION

Bi-compartmental pharmacokinetic parameters of netilmicin have been estimated from clinical data in urological surgery patients using a population approach. A given single dose results in large variability in plasma concentrations and thus the population covariate final model can be used for direct estimation of initial dosing in patients.

Ontogeny of hepatic and renal systemic clearance pathways in infants: part I

Dramatic developmental changes in the physiological and biochemical processes that govern drug pharmacokinetics and pharmacodynamics occur during the first year of life. These changes may have significant consequences for the way infants respond to and deal with drugs. The ontogenesis of systemic clearance mechanisms is probably the most critical determinant of a pharmacological response in the developing infant. In recent years, advances in molecular techniques and an increased availability of fetal and infant tissues have afforded enhanced insight into the ontogeny of clearance mechanisms. Information from these studies is reviewed to highlight the dynamic and complex nature of developmental changes in clearance mechanisms in infants during the first year of life. Hepatic and renal elimination mechanisms constitute the two principal clearance pathways of the developing infant. Drug metabolising enzyme activity is primarily responsible for the hepatic clearance of many drugs. In general, when compared with adult activity levels normalised to amount of hepatic microsomal protein, hepatic cytochrome P450-mediated metabolism and the phase II reactions of glucuronidation, glutathione conjugation and acetylation are deficient in the neonate, but sulfate conjugation is an efficient pathway at birth. Parturition triggers the dramatic development of drug metabolising enzymes, and each enzyme demonstrates an independent rate and pattern of maturation. Marked interindividual variability is associated with their developmental expression, making the ontogenesis of hepatic metabolism a highly variable process. By the first year of life, most enzymes have matured to adult activity levels. When compared with adult values, renal clearance mechanisms are compromised at birth. Dramatic increases in renal function occur in the ensuing postpartum period, and by 6 months of age glomerular filtration rate normalised to bodyweight has approached adult values. Maturation of renal tubular functions exhibits a more protracted time course of development, resulting in a glomerulotubular imbalance. This imbalance exists until adult renal tubule function values are approached by 1 year of age. The ontogeny of hepatic biliary and renal tubular transport processes and their impact on the elimination of drugs remain largely unknown. The summary of the current understanding of the ontogeny of individual pathways of hepatic and renal elimination presented in this review should serve as a basis for the continued accruement of age-specific information concerning the ontogeny of clearance mechanisms in infants. Such information can only help to improve the pharmacotherapeutic management of paediatric patients.

Population pharmacokinetics of digoxin in Egyptian pediatric patients: impact of one data point utilization

A population pharmacokinetic (PK) study was designed to estimate the PK parameters of digoxin among a selected group of Egyptian pediatric patients (n = 30) with mean age +/- SD and body weight +/- SD of 8.88 +/- 3.01 years and 23.9 +/- 5.8 kg, respectively. All patients had heart failure and were maintained on digoxin given orally. Nonlinear mixed effect modeling software version 5 (NONMEM Project Group, San Francisco, CA) and one-compartment modeling were used for fitting the data. A one-trough steady-state plasma concentration level of digoxin was used in the analysis. The population mean estimates for clearance (CL/f) and volume of distribution (V/f), in which f represents oral bioavailability, were 8.61 L/h and 450 L, respectively. Because of the limited number of samples per patient, regression analysis could not detect a correlation between patient covariates and estimated PK parameters. The analysis did not converge to obtain good parameter estimates. At least two samples per patient should be used to improve the PK estimation and allow better analysis of the relation between the potential covariates and estimated PK parameters.

Nonparametric population pharmacokinetic analysis of amikacin in neonates, infants, and children

The therapeutic and toxic effects of amikacin are known to depend on its concentration in plasma, but the pharmacokinetics of this drug in neonates, infants, and children and the influences of clinical and biological variables have been only partially assessed. Therapeutic drug monitoring data collected from 155 patients (49 neonates, 77 infants, and 29 children) receiving amikacin were analyzed by a nonparametric population-based approach, the nonparametric maximum-likelihood method. We assessed the effects of gestational and postnatal age, weight, Apgar score, and plasma creatinine and urea concentrations on pharmacokinetic parameters. There is no specific formulation of amikacin for neonates and infants. We therefore used an error model to account for errors due to dilution during preparation of the infusion. The covariates that reduced the variance of clearance from plasma and the volume of distribution by more than 10% were postnatal age (43 and 28%, respectively) and body weight (30.4 and 17.4%, respectively). The expected reduction of clearance was about 10% for the plasma creatinine concentration. The other covariates studied (Apgar scores, plasma urea concentration, gestational age, sex) were found to have little effect. Simulations showed that a smaller percentage of patients had a maximum concentration in plasma/MIC ratio greater than 8 with a regimen of 7.5 mg/kg of body weight twice daily than with a regimen of 15 mg/kg once a day for MICs of 1 to 8 mg/liter.

Potential benefit of Bayesian forecasting for therapeutic drug monitoring in neonates

Therapeutic drug monitoring in neonate has been hampered by invasiveness of blood samplings raising ethical problems. A methodologic approach has been developped in adults and in children that is still unsufficiently developped in neonates, the Bayesian forecasting of drug plasma concentration. This method is particularly attractive in neonates using a few blood samples from an individual patient and more informations from a prior patient sample representative of the population the individual patient belongs to. The present article aims at reviewing the different procedures and methods to minimize invasiveness during therapeutic drug monitoring in neonate and at reviewing the methods for improving the quality of different dose adjustments using a Bayesian approach.

Once daily dosing of gentamicin in infants and children

BACKGROUND

Aminoglycosides are frequently used in children. The standard daily dosing (SDD) in infants and children is twice or three times daily depending on age. The aim of this paper is to review the current data regarding the safety and effectiveness of once daily dosing (ODD) of gentamicin in children.

METHODS

A Medline search was conducted for comparison studies between ODD and SDD of gentamicin in children in term of pharmacokinetic indices and toxicity.

RESULTS

Overall 13 studies describing ODD of gentamicin in children were found suitable for this review. In most studies steady state peak serum gentamicin concentrations were significantly higher in the ODD groups. Steady state trough concentrations >2 microg/ml were documented in 5 to 55% of patients treated with the SDD as compared with 0 to 24% in the ODD groups. The mode of dosing did not affect the volume of distribution; however, the t1/2 was significantly longer in the ODD groups. ODD was found to be cost-saving. In a few studies the efficacy of ODD was similar to that of SDD.

CONCLUSIONS

These studies suggest that ODD compared with SDD of gentamicin is theoretically more efficacious and has no higher toxicity at 48 to 96 h in neonates and at 3 to 10 days of therapy in older infants and children.

Population kinetics of tobramycin in neonates

The population kinetics of tobramycin were studied in 140 neonates (100/40 patients for the index/validation groups, respectively) of 30 to 42 weeks' gestational age and 0.8 to 4.25 kg current body weight in their first 2 weeks of life, undergoing routine therapeutic drug monitoring of their tobramycin serum levels. The 365 tobramycin concentration measurements obtained were analyzed by use of NONMEM according to a one-compartment open model with zero-order absorption and first-order elimination. The effect of a variety of demographic, developmental, and clinical factors (gender, height, birth weight, current weight, gestational age, postnatal age, postconceptional age, and serum creatinine concentration) on clearance and volume of distribution was investigated. Forward selection and backward elimination regression identified significant covariates. The final pharmacostatistical model with influential covariates was as follows (full population): clearance (L/h) = 0.0508 x current weight (kg), multiplied by 0.843 if birth weight was 2.5 kg or less (low-birthweight infants), and volume of distribution (L) = 0.533 x current weight (kg). Using the proportional error model for the random-effects parameters, interindividual variability for clearance and for volume of distribution was determined to be 25.8% and 21.9%, respectively, and the residual variability was 19.2%. In this study, the use of the NONMEM gave significant and consistent information on the pharmacokinetics and the determinants of the pharmacokinetic variability of tobramycin in neonates when compared with available bibliographic information. Moreover, the final population pharmacokinetic model may be used to design a priori recommendations for tobramycin and to improve the dosing readjustments through Bayesian estimation.

Pharmacokinetics of once-a-day netilmicin (4.5 mg/kg) in neonates

The pharmacokinetics of once-a-day netilmicin (4.5 mg/kg) was studied in 16 neonates, divided for analysis into three groups according to gestational age: group 1 >36 weeks (n=7); group II between 34-36 weeks (n=4); and group III <34 weeks (n=5). The serum netilmicin (mean +/- SD) 4h and 24h after the first dose were 4.7 +/- 0.8 and 0.8 +/- 0.5 mg/L; 4.9 +/- 0.8 and 1.9 +/-0.2 mg/L; 4.9 +/- 0.5 and 1.7 +/- 0.5 mg/L in groups I, II and III respectively. After the second dose, concentrations at 2, 4, 8, 16 and 24 h were 7.2 +/- 1.0, 5.0 +/- 0.8, 3.0 +/- 0.6, 1.7 +/- 0.4 and 0.9 +/- 0.2 mg/L (group I); 8.6 +/- 0.2, 6.1 +/- 0.5, 4.2 +/- 0.7, 2.6 +/- 0.1 and 1.4 +/- 0.4 mg (group II); 9.0 +/- 1.2, 6.3 +/- 0.9, 4.1 +/- 0.7, 2.6 +/- 0.5 and 1.7 +/- 0.3 mg/L (group III). There was a large degree of inter-patient variability in serum concentrations and serum half-life (t1/2), volume of distribution (VD), area-under-the-curve (AUC), relative serum clearance (Clp) such that these parameters could not be correlated to age or weight. Absolute serum clearance (L/h) was correlated with gestational age (r = 0.672, P <0.01). There was no statistically significant evidence of accumulation between the first and second doses for any patient group. One baby from each group II and group III had concentration >2 mg/L 24h after the first dose and one baby from group III had concentration >2 mg/L 24h after the second dose. There are no established correlations between serum netilmicin concentrations and efficacy or toxicity in neonates and keeping 24 h trough concentration below 2 mg/L with a once-a-day dose of 4.5 mg/L would have to be validated in terms of its clinical efficacy and potential toxicity in a neonatal population.

[What's new in pediatric pharmacology?]

Only a minority of the drugs administered to children and infants have a pediatric labeling and have been sufficiently tested for efficacy, safety and correct pediatric dosing, which cannot necessarily be extrapolated from adult data. This situation is scientifically and ethically unacceptable. To address this problem, the suggestion is being made in several countries that more formal legal requirements should be introduced. In the United States, in 1997, a new legislation encouraged pharmaceutical companies to study medicines in children (for example, by offering the financial incentive of a six-month extension to patent exclusivity). However, there are undeniable difficulties in pediatric and neonatal studies. To minimize the risks of clinical investigation in children, appropriate methodologies should be used. New in vitro and in vivo methods are now available, taking into account pediatric characteristics.

The kinetic profile of gentamicin in premature neonates

The kinetic profile of gentamicin in premature infants has been studied to enable the development of optimized dosage schedules for neonatal intensive-care units and to stress the relationship between the pharmacokinetic parameters and several demographic, developmental and clinical factors which might be associated with changes in gentamicin disposition. Sixty-eight newborn patients of 24- to 34-weeks gestational age and 600-3,100 g current weight in their first week of life, undergoing routine therapeutic drug monitoring of their gentamicin serum levels, were included in this retrospective analysis. Gentamicin pharmacokinetic parameters were determined through non-linear regression by using a single-compartment open model. By regression analysis the current weight (g) was shown to be the strongest co-variate, and both gentamicin clearance (L h(-1)) and volume of distribution (L) had to be normalized. Additionally, gentamicin clearance depended on gestational age with a cut-off at 30 weeks, which allowed the division of the overall population into two subsets (< 30 weeks and between 30-34 weeks of gestational age). The younger neonates (<30 weeks of gestational age) showed a lower gentamicin clearance (0.0288 vs 0.0340 L h(-1) kg(-1)), a slightly higher volume of distribution (0.464 vs 0.435 L kg(-1)), and a longer half-life (11.17 vs 8.88 h) compared with the older subgroup (30-34 weeks of gestational age). On the basis of the pharmacokinetic parameters obtained, we suggest loading doses of 3.7 and 3.5 mg kg(-1) for the two subgroups of neonates (<30 weeks and 30-34 weeks of gestational age), respectively. The appropriate maintenance doses in accordance with the characteristics of the patients should be 2.8 mgkg(-1)/24h and 2.6 mg kg(-1)/18 h for neonates < 30 weeks and between 30-34 weeks of gestational age, respectively. Finally, when compared with previous studies, the information obtained on the pharmacokinetics and determinants of the pharmacokinetic variability of gentamicin in neonates was shown to be consistent.

Population pharmacokinetics in veterinary medicine: potential use for therapeutic drug monitoring and prediction of tissue residues

Population pharmacokinetics can be defined as a study of the basic features of drug disposition in a population, accounting for the influence of diverse pathophysiological factors on pharmacokinetics, and explicitly estimating the magnitude of the interindividual and intraindividual variability. It is used to identify subpopulations of individuals that may present with differences in drug kinetics or in kinetic/dynamic responses. Rooted in procedures used in engineering systems, population pharmacokinetics methods were conceived as a means to determine the pharmacokinetic profile in populations in which a sparse number of samples were obtained per individual, such as those in late stage human clinical trials. This is the situation commonly encountered in all aspects of veterinary medicine. The exploratory nature of this technique allows one to probe relationships between clinical factors (such as age, gender, renal function, etc.) and drug disposition and/or effect. Similarly, the utilization of these techniques in the clinical research phases of drug development optimize the determination of efficacy and safety of drugs. Given the observational nature of most studies published so far, statistical methods to validate the population models are necessary. Simulation studies may be conducted to explore data collection designs that maximize information yield with a minimum expenditure of resources. The breadth of this approach has allowed population studies to be more commonly employed in all areas of drug therapy and clinical research. Finally, in veterinary medicine, there is an additional field in which population studies are potentially ideally suited: the application of this methodology to the study of tissue drug depletion and drug residues in production animals, and the establishment of withdrawal times tailored to the clinical or production conditions of populations or individuals. Such application would provide a major step toward assuring a safe food supply under a wide variety of dose and off-label clinical uses. Population pharmacokinetics is an ideal method for generating data in support of the implementation of flexible labelling policies and extralabel drug use recently approved under AMDUCA (Animal Medicinal Drug Use Clarification Act. 21 CFR Part 530).

Tobramycin population pharmacokinetics in neonates

OBJECTIVE

To establish a tobramycin dosing schedule for neonates of various gestational ages.

METHODS

This was a retrospective study with prospective validation. A retrospective study in 470 neonates, with suspected septicemia in the first week of life, was performed. All patients received tobramycin according to the following scheme: neonates with a gestational age of less than 28 weeks received 3.5 mg/kg every 24 hours, neonates from 28 to 36 weeks received 2.5 mg/kg every 18 hours, neonates older than 36 weeks received 2.5 mg/kg every 12 hours. Trough and peak tobramycin serum levels were determined before drug administration and 30 minutes after the fourth dose. Tobramycin data were analyzed according to a one-compartment open model with use of NONMEM population pharmacokinetic software. Individual empirical Bayes estimates were generated on the basis of the population estimates and used to calculate predicted peak and trough levels for different doses and dosing intervals. To establish an optimal dosing regimen, target trough levels were set at below 2 mg/L and target peak levels were set above 5 to 10 mg/L. The dosing regimen was prospectively evaluated in 23 patients.

RESULTS

Of the 470 patients, 19.1% of measured peak and 32.8% of measured trough tobramycin serum levels were outside the desired therapeutic range, and 48.8% of neonates with a gestational age of less than 28 weeks had an aberrant trough level. With use of population estimates, the following dosing regimen was recommended: gestational age below 32 weeks, 4 mg/kg every 48 hours; gestational age between 32 and 37 weeks, 4 mg/kg every 36 hours, gestational age above 37 weeks, 4 mg/kg every 24 hours. With this dosing schedule, predicted peak levels were higher than 5 mg/L in 95.1% of the neonates. Predicted trough levels were higher than 2 mg/L in 1.9% of the neonates and higher than 1 mg/L in 7.6%. Prospectively measured peak levels were higher than 5 mg/L in all but one infant. Measured trough levels were higher than 2 mg/L in three patients and marginally higher than 1 mg/L in four patients.

CONCLUSIONS

With the use of this proposed schedule, taking into account differences in gestational ages, predicted peak levels will be therapeutic, whereas predicted trough levels will minimize toxicity.

Population pharmacokinetics of caffeine in neonates and young infants

The population pharmacokinetics of caffeine were investigated in 60 neonates and young infants using data collected during routine therapeutic drug monitoring. Clearance was influenced by body weight and postnatal age, and increased in the presence of dexamethasone. No clinical factors were identified that influenced volume of distribution. The population pharmacokinetic parameter estimates were then tested prospectively in a further 20 neonates. Although they produced unbiased results, the dexamethasone effect could not be identified. A final analysis using all 80 patients found clearance (L/day) = 0.14 x weight (kg) + 0.0024 x postnatal age (days) (+/- 20%) and volume of distribution = 0.82 L (+/- 24%). Simulations based on these results indicated that the current dosage guidelines of 20 mg/kg loading dose of caffeine citrate followed by a 5 mg/kg/day maintenance dose should achieve concentrations within the traditional target range in > 70% of neonates.

Once daily dosing of netilmicin in neonatal and pediatric intensive care

OBJECTIVE

To examine a once daily dosing regimen of netilmicin in critically ill neonates and children.

DESIGN AND SETTING

Open, prospective study on 81 antibiotic courses in 77 critically ill neonates and children, hospitalized in a multidisciplinary pediatric/neonatal intensive care unit. For combined empiric therapy (aminoglycoside and beta-lactam), netilmicin was given intravenously over 5 min once every 24 h. The dose ranged from 3.5-6 mg/kg, mainly depending upon gestational and postnatal age. Peak levels were determined by immunoassay 30 min after the second dose and trough levels 1 h before the third and fifth dose or after adaptation of dosing.

RESULTS

All peak levels (n = 28) were clearly above 12 mumol/l (mean 22, range 13-41 mumol/l). Eighty-nine trough levels were within desired limits (< 4 mumol/l) and 11 (11%) above 4 mumol/l, mostly in conjunction with impaired renal function.

CONCLUSIONS

Optimal peak and trough levels of netilmicin can be achieved by once daily dosing, adapted to gestational/postnatal age and renal function.

Interaction between structural, statistical, and covariate models in population pharmacokinetic analysis

The influence of the choice of pharmacokinetic model on subsequent determination of covariate relationships in population pharmacokinetic analysis was studied using both simulated and real data sets. Simulations and data analysis were both performed with the program NONMEM. Data were simulated using a two-compartment model, but at late sample times, so that preferential selection of the two-compartment model should have been impossible. A simple categorical covariate acting on clearance was included. Initially, on the basis of a difference in the objective function values, the two-compartment model was selected over the one-compartment model. Only when the complexity of the one-compartment model was increased in terms of the covariate and statistical models was the difference in objective function values of the two structural models negligible. For two real data sets, with which the two-compartment model was not selected preferentially, more complex covariate relationships were supported with the one-compartment model than with the two-compartment model. Thus, the choice of structural model can be affected as much by the covariate model as can the choice of covariate model be affected by the structural model; the two choices are interestingly intertwined. A suggestion on how to proceed when building population pharmacokinetic models is given.

NONMEM version III implementation on a VAX 9000: a DCL procedure for single-step execution and the unrealized advantage of a vectorizing FORTRAN compiler

There is great interest within the FDA, academia, and the pharmaceutical industry to provide more detailed information about the time course of drug concentration and effect in subjects receiving a drug as part of their overall therapy. Advocates of this effort expect the eventual goal of these endeavors to provide labeling which reflects the experience of drug administration to the entire population of potential recipients. The set of techniques which have been thus far applied to this task has been defined as population approach methodologies. While a consensus view on the usefulness of these techniques is not likely to be formed in the near future, most pharmaceutical companies or individuals who provide kinetic/dynamic support for drug development programs are investigating population approach methods. A major setback in this investigation has been the shortage of computational tools to analyze population data. One such algorithm, NONMEM, supplied by the NONMEM Project Group of the University of California, San Francisco has been widely used and remains the most accessible computational tool to date. The program is distributed to users as FORTRAN 77 source code with instructions for platform customization. Given the memory and compiler requirements of this algorithm and the intensive matrix manipulation required for run convergence and parameter estimation, this program's performance is largely determined by the platform and the FORTRAN compiler used to create the NONMEM executable. Benchmark testing on a VAX 9000 with Digital's FORTRAN (v. 1.2) compiler suggests that this is an acceptable platform. Due to excessive branching within the loops of the NONMEM source code, the vector processing capabilities of the KV900-AA vector processor actually decrease performance. A DCL procedure is given to provide single step execution of this algorithm.

Evaluation of hypothesis testing for comparing two populations using NONMEM analysis

In a simulation study of inference on population pharmacokinetic parameters, two methods of performing tests of hypotheses comparing two populations using NONMEM were evaluated. These two methods are the test based upon 95% confidence intervals and the likelihood ratio test. Data were simulated according to a monoexponential model and, in that context, power curves for each test were generated for (i) the ratio of mean clearance and (ii) the ratio of the population standard deviations of clearance. To generate the power curves, a range of these parameters was employed; other pharmacokinetic parameters were selected to reflect the variability typically present in a Phase II clinical trial. For tests comparing the means, the confidence interval tests had approximately the same power as the likelihood ratio tests and were consistently more faithful to the nominal level of significance. For comparison of the standard deviations, and when the volume of information available was relatively small, however, the likelihood ratio test was more able to detect differences between the two groups. These results were then compared to results on parameter estimation in order to gain insight into the question of power. As an example, the nonnormality of estimates of the ratio of standard deviations plays an important role in explaining the low power for the confidence interval tests. We conclude that, except for the situation of modeling standard deviations with only sparse information, NONMEM produces tests of significance that are effective at detecting clinically significant differences between two populations.