Therapeutic Drug Monitoring of Antimicrobial Drugs in Children with Cancer: A New Tool for Personalized Medicine

The risk of fungal, bacterial, and viral infections is higher in children with hematological and solid malignancies, particularly during periods of profound neutropenia. Although early administration of antimicrobial agents is common, optimizing pharmacological therapy in pediatric patients with cancer is challenging because of their variable pharmacokinetics compared with adults, including differences in body mass and augmented renal clearance, as well as chemotherapy-induced organ toxicity. Therapeutic drug monitoring, which involves measuring drug concentrations in serum or plasma at specific timepoints and adjusting doses accordingly, can be applied to various medications. While standardized targets for all antimicrobial agents in children are lacking, therapeutic drug monitoring appears to be beneficial in preventing serious toxicity and addressing treatment failure or non-compliance. This narrative review aims to analyze current perspectives on therapeutic drug monitoring for antimicrobial drugs in the special population of children with hematological or oncological diseases, including those undergoing hematopoietic cell transplantation. The review provides evidence on the clinical benefits of this method and explores potential future developments in this area.

Pragmatic physiologically-based pharmacokinetic modeling to support clinical implementation of optimized gentamicin dosing in term neonates and infants: proof-of-concept

Introduction

Modeling and simulation can support dosing recommendations for clinical practice, but a simple framework is missing. In this proof-of-concept study, we aimed to develop neonatal and infant gentamicin dosing guidelines, supported by a pragmatic physiologically-based pharmacokinetic (PBPK) modeling approach and a decision framework for implementation.

Methods

An already existing PBPK model was verified with data of 87 adults, 485 children and 912 neonates, based on visual predictive checks and predicted-to-observed pharmacokinetic (PK) parameter ratios. After acceptance of the model, dosages now recommended by the Dutch Pediatric Formulary (DPF) were simulated, along with several alternative dosing scenarios, aiming for recommended peak (i.e., 8-12 mg/L for neonates and 15-20 mg/L for infants) and trough (i.e., <1 mg/L) levels. We then used a decision framework to weigh benefits and risks for implementation.

Results

The PBPK model adequately described gentamicin PK. Simulations of current DPF dosages showed that the dosing interval for term neonates up to 6 weeks of age should be extended to 36-48 h to reach trough levels <1 mg/L. For infants, a 7.5 mg/kg/24 h dose will reach adequate peak levels. The benefits of these dose adaptations outweigh remaining uncertainties which can be minimized by routine drug monitoring.

Conclusion

We used a PBPK model to show that current DPF dosages for gentamicin in term neonates and infants needed to be optimized. In the context of potential uncertainties, the risk-benefit analysis proved positive; the model-informed dose is ready for clinical implementation.

Evaluation of Dosing Guidelines for Gentamicin in Neonates and Children

Although aminoglycosides are frequently prescribed to neonates and children, the ability to reach effective and safe target concentrations with the currently used dosing regimens remains unclear. This study aims to evaluate the target attainment of the currently used dosing regimens for gentamicin in neonates and children. We conducted a retrospective single-center cohort study in neonates and children receiving gentamicin between January 2019 and July 2022, in the Beatrix Children's Hospital. The first gentamicin concentration used for therapeutic drug monitoring was collected for each patient, in conjunction with information on dosing and clinical status. Target trough concentrations were ≤1 mg/L for neonates and ≤0.5 mg/L for children. Target peak concentrations were 8-12 mg/L for neonates and 15-20 mg/L for children. In total, 658 patients were included (335 neonates and 323 children). Trough concentrations were outside the target range in 46.2% and 9.9% of neonates and children, respectively. Peak concentrations were outside the target range in 46.0% and 68.7% of neonates and children, respectively. In children, higher creatinine concentrations were associated with higher gentamicin trough concentrations. This study corroborates earlier observational studies showing that, with a standard dose, drug concentration targets were met in only approximately 50% of the cases. Our findings show that additional parameters are needed to improve target attainment.

[Prospektives Audit des Gentamicin Drug Monitorings in einem Kinderkrebszentrum]

BACKGROUND

Many pediatric cancer centers still use Gentamicin as first line combination treatment in patients with fever and neutropenia. Since 2011, our center has implemented a dosing regimen with 250 mg/m² BSA (max. 10 mg/kg, max. 400 mg) as a single daily infusion according to the German guideline.

PATIENTS AND METHODS

In this prospective audit (February 2011 to December 2019), 105 Gentamicin treatment cycles were analyzed in 66 pediatric cancer patients, focusing on adherence to the dosing regimen and the drug monitoring results.

RESULTS

Adherence to the dosing regimen was high (89%). In 64% of all cycles, the C_max (drawn 1 h after the 2^nd dose) reached the target of 10-20 µg/ml. C_max significantly correlated with dosing in mg/m² BSA (p=0,007), but not with dosing in mg/kg (p=0,366). Age below 6 years did not influence these results. The Gentamicin C_trough (drawn 8-10 h after the second dose) was < 2 µg/ml in 93% of all cycles without any dose correlation. None of the patients experienced Gentamicin-associated nephrotoxicity.

DISCUSSION AND CONCLUSION

This prospective audit of single daily infusion Gentamicin in pediatric cancer patients without impaired renal function elicits the feasibility and safety of the dosing regimen in mg/m² BSA according to the German guideline. Since indications for first-line gentamicin are limited, a multicenter prospective study would be advantageous to confirm these observations.

Predicting tubular reabsorption with a human kidney proximal tubule tissue-on-a-chip and physiologically-based modeling

Kidney is a major route of xenobiotic excretion, but the accuracy of preclinical data for predicting in vivo clearance is limited by species differences and non-physiologic 2D culture conditions. Microphysiological systems can potentially increase predictive accuracy due to their more realistic 3D environment and incorporation of dynamic flow. We used a renal proximal tubule microphysiological device to predict renal reabsorption of five compounds: creatinine (negative control), perfluorooctanoic acid (positive control), cisplatin, gentamicin, and cadmium. We perfused compound-containing media to determine renal uptake/reabsorption, adjusted for non-specific binding. A physiologically-based parallel tube model was used to model reabsorption kinetics and make predictions of overall in vivo renal clearance. For all compounds tested, the kidney tubule chip combined with physiologically-based modeling reproduces qualitatively and quantitatively in vivo tubular reabsorption and clearance. However, because the in vitro device lacks filtration and tubular secretion components, additional information on protein binding and the importance of secretory transport is needed in order to make accurate predictions. These and other limitations, such as the presence of non-physiological compounds such as antibiotics and bovine serum albumin in media and the need to better characterize degree of expression of important transporters, highlight some of the challenges with using microphysiological devices to predict in vivo pharmacokinetics.

Optimizing Antibiotic Drug Therapy in Pediatrics: Current State and Future Needs

The selection of the right antibiotic and right dose necessitates clinicians understand the contribution of pharmacokinetic variability stemming from age-related physiologic maturation and the pharmacodynamics to optimize drug exposure for clinical response. The complexity of selecting the right dose arises from the multiplicity of pediatric age groups, from premature neonates to adolescents. Body size and age (which relate to organ function) must be incorporated to optimize antibiotic dosing in this vulnerable population. In the effort to optimize and individualize drug dosing regimens, clinical pharmacometrics that incorporate population-based pharmacokinetic modeling, Bayesian estimation, and Monte Carlo simulations are utilized as a quantitative approach to understanding and predicting the pharmacology and clinical and microbiologic efficacy of antibiotics. In addition, opportunistic study designs and alternative blood sampling strategies can serve as practical approaches to ensure successful conduct of pediatric studies. This review article examines relevant literature on optimization of antibiotic pharmacotherapy in pediatric populations published within the last decade. Specific pediatric antibiotic data, including beta-lactam antibiotics, aminoglycosides, and vancomycin, are critically evaluated.

Gentamicin Pharmacokinetics and Monitoring in Pediatric Patients with Febrile Neutropenia

BACKGROUND

The pharmacokinetics of gentamicin in pediatric patients with febrile neutropenia is described, and the adequacy of initial dosing of once-daily gentamicin assessed at Queensland's largest Children's Hospital.

METHODS

Data were retrospectively collected from all pediatrics with febrile neutropenia admitted over a 2-year period who had at least 2 gentamicin concentration-time measurements (a paired set within 1 dosing interval). Gentamicin clearance, volume of distribution, area under the concentration-time curve from 0 to 24 hours postdose (AUC0-24), and maximum concentration values were estimated with log-linear regression using each paired set. The percentage of paired sets associated with gentamicin exposure within predefined hospital targets was calculated, and exposure was examined in relation to the bacterial culture status.

RESULTS

Data were collected from 69 patients [median (interquartile range) age 3.7 years (2.2-8.9)] and comprised 121 paired concentration sets characterizing 80 separate admissions. Median (interquartile range) gentamicin clearance and volume of distribution were 8.1 L·h·70 kg (5.8-12.4) and 21.8 L/70 kg (16.9-29.5), respectively. Predefined hospital exposure targets were achieved for both AUC0-24 and maximum concentration for 10% of paired sets; one or the other of these targets were met for 36% of paired sets, and neither target was achieved for 54% of paired sets. Achievement of targets improved with repeated monitoring during the same admission. Median AUC0-24 achieved was significantly higher in patients with a confirmed Gram-negative infection compared with those without 71 (50-91) mg·h·L versus 55 (40.8-67.5) mg·h·L, respectively (P = 0.003). Over the study period, a median gentamicin dose of 10.8 and 6.4 mg/kg was estimated to be necessary to achieve an AUC target of 80 mg·h·L in children ≤10 years and >10 years of age.

CONCLUSIONS

Based on a log-linear method of analysis, current dosing seems to be consistently producing gentamicin exposure below predefined pharmacokinetic targets, suggesting that an increase in the recommended starting dose of gentamicin may be required.

A Population Pharmacokinetic Model of Gentamicin in Pediatric Oncology Patients To Facilitate Personalized Dosing

To ensure the safe and effective dosing of gentamicin in children, therapeutic drug monitoring (TDM) is recommended. TDM utilizing Bayesian forecasting software is recommended but is unavailable, as no population model that describes the pharmacokinetics of gentamicin in pediatric oncology patients exists. This study aimed to develop and externally evaluate a population pharmacokinetic model of gentamicin to support personalized dosing in pediatric oncology patients. A nonlinear mixed-effect population pharmacokinetic model was developed from retrospective data. Data were collected from 423 patients for model building and a further 52 patients for external evaluation. A two-compartment model with first-order elimination best described the gentamicin disposition. The final model included renal function (described by fat-free mass and postmenstrual age) and the serum creatinine concentration as covariates influencing gentamicin clearance (CL). Final parameter estimates were as follow CL, 5.77 liters/h/70 kg; central volume of distribution, 21.6 liters/70 kg; peripheral volume of distribution, 13.8 liters/70 kg; and intercompartmental clearance, 0.62 liter/h/70 kg. External evaluation suggested that current models developed in other pediatric cohorts may not be suitable for use in pediatric oncology patients, as they showed a tendency to overpredict the observations in this population. The final model developed in this study displayed good predictive performance during external evaluation (root mean square error, 46.0%; mean relative prediction error, -3.40%) and may therefore be useful for the personalization of gentamicin dosing in this cohort. Further investigations should focus on evaluating the clinical application of this model.

Gentamicin Pharmacokinetics and Monitoring in Pediatric Patients with Febrile Neutropenia

BACKGROUND

The pharmacokinetics of gentamicin in pediatric patients with febrile neutropenia is described, and the adequacy of initial dosing of once-daily gentamicin assessed at Queensland's largest Children's Hospital.

METHODS

Data were retrospectively collected from all pediatrics with febrile neutropenia admitted over a 2-year period who had at least 2 gentamicin concentration-time measurements (a paired set within 1 dosing interval). Gentamicin clearance, volume of distribution, area under the concentration-time curve from 0 to 24 hours postdose (AUC0-24), and maximum concentration values were estimated with log-linear regression using each paired set. The percentage of paired sets associated with gentamicin exposure within predefined hospital targets was calculated, and exposure was examined in relation to the bacterial culture status.

RESULTS

Data were collected from 69 patients [median (interquartile range) age 3.7 years (2.2-8.9)] and comprised 121 paired concentration sets characterizing 80 separate admissions. Median (interquartile range) gentamicin clearance and volume of distribution were 8.1 L·h·70 kg (5.8-12.4) and 21.8 L/70 kg (16.9-29.5), respectively. Predefined hospital exposure targets were achieved for both AUC0-24 and maximum concentration for 10% of paired sets; one or the other of these targets were met for 36% of paired sets, and neither target was achieved for 54% of paired sets. Achievement of targets improved with repeated monitoring during the same admission. Median AUC0-24 achieved was significantly higher in patients with a confirmed Gram-negative infection compared with those without 71 (50-91) mg·h·L versus 55 (40.8-67.5) mg·h·L, respectively (P = 0.003). Over the study period, a median gentamicin dose of 10.8 and 6.4 mg/kg was estimated to be necessary to achieve an AUC target of 80 mg·h·L in children ≤10 years and >10 years of age.

CONCLUSIONS

Based on a log-linear method of analysis, current dosing seems to be consistently producing gentamicin exposure below predefined pharmacokinetic targets, suggesting that an increase in the recommended starting dose of gentamicin may be required.

Dose derivation of once-daily dosing guidelines for gentamicin in critically ill pediatric patients

OBJECTIVES

To determine dose and eligibility criteria for once-daily dosing (ODD) of gentamicin in critically ill pediatric patients.

METHODS

Retrospective chart review of patients admitted to the Pediatric Intensive Care Unit or Cardiac Critical Care Unit at The Hospital for Sick Children (SickKids) who received traditionally dosed intravenous (IV) gentamicin (January 2008 to June 2010). Statistically significant patient characteristics associated with gentamicin pharmacokinetic (PK) parameters were determined by multiple linear regression. Binary partitioning was used to set critical values for these characteristics to derive dose for ODD of gentamicin. Feasibility of implementing ODD of gentamicin in critically ill children was assessed using individualized PK parameters to simulate area under the concentration-time curves and drug-free intervals while targeting a maximum concentration (C(max)) of 16-20 mg/L. Eligibility criteria were determined by patient characteristics that had a statistically significant impact on gentamicin PK.

RESULTS

Volume of distribution (V(d)) and elimination rate constant (k(e)) were calculated for 140 patients. Weight and admission unit were significantly associated with weight-normalized V(d) (Vd/kg), whereas age and serum creatinine (SCr) were significantly associated with k(e). Weight <5 kg and SCr ≥20% over age-specific upper normal limit before gentamicin initiation were associated with prolonged gentamicin elimination. Gentamicin 6 mg/kg IV every 24 hours, the dose at which the highest percentage of patients achieved C(max), area under the curve, and drug-free interval within target ranges simultaneously, was selected as the proposed ODD regimen.

CONCLUSIONS

A regimen of gentamicin 6 mg/kg IV every 24 hours for Pediatric Intensive Care Unit/Cardiac Critical Care Unit patients at SickKids weighing ≥5 kg with SCr <20% above age-specific upper normal limit before initiation of gentamicin is proposed.

Supportive care in children

PURPOSE OF REVIEW

To provide an update on the rational approach of febrile neutropenia in children with cancer and discuss future research aspects in the field.

RECENT FINDINGS

Clinical and laboratory variables and new biomarkers associated with an increased risk for a severe outcome including invasive bacterial infection (IBI), sepsis, and mortality have been identified for children with cancer and febrile neutropenia. These variables and biomarkers are currently being used for an early risk assessment in order to identify children at low or high risk for IBI or at high risk for sepsis and death. Early identification of children with a differential risk has allowed the implementation of selective treatment regimens. More recently, host genetic differences have been associated with a differential risk for IBI. The individual gene profile based on selected polymorphisms could further fine-tune the early risk assessment allowing tailor-made management strategies.

SUMMARY

In the last decades, efforts have focused on the stratification of the heterogeneous group of children with cancer and febrile neutropenia according to their risk for developing an IBI. This effort has allowed a less aggressive treatment strategy for children at low risk, including early hospital discharge and use of intravenous and oral antimicrobials at home. More recently, advances have been made in the early identification of children in the other spectrum of infection, those at high risk for sepsis and mortality, with the aim of rapid implementation of aggressive therapy.