Improving cefazolin exposure in critically ill children using a population pharmacokinetic model.

AIMS: Population pharmacokinetics (PK) models may be effective in improving antibiotic exposure with individualized dosing. The aim of the study is to assess cefazolin exposure using a population PK model in critically ill children. METHODS: We conducted a single-centre observational study including children under 18 years old who had cefazolin plasma monitoring before and after a cefazolin model implementation. The first concentration at steady state of each cefazolin course was analysed. The optimal exposure was defined by concentration values ranging from free concentration over four times the minimal inhibitory concentration (MIC) for 100% of the dosing interval to total trough or plateau concentration under 100 mg. L-1. RESULTS: A total of 58 patients were included, of whom 39 and 19 children received conventional dosing or model-informed dosing, respectively. Median [range] age was 2.3 [0.1-17] years old, and median weight was 14.2 [2.9-72] kg. There were more continuous infusions (CI) in the model group than in the conventional group (n = 19/19 [100%] vs. n = 23/39 [59%]). Compared to conventional dosing, model-informed dosing provided more optimal exposure (n = 17/39 [44%] vs. n = 15/19 [79%], P = .01) and less underexposure (n = 18/39 [46%] vs. n = 2/19 [10%], P = .008), without increasing overexposure (n = 4/39 [10%] vs. n = 2/19 [11%], P = 1). Moreover, the time to C-reactive protein decrease by 50% was significantly shorter in the model group than the conventional group (3 [0.5-13] vs. 4 [1-34]; P = .045). CONCLUSIONS: Use of individualized cefazolin model-informed dosing improves critically ill children's exposure. Further studies are needed to assess the clinical benefit of cefazolin PK model application.

Therapeutic Drug Monitoring of Antibiotics in Critically Ill Children: An Observational Study in a Pediatric Intensive Care Unit.

BACKGROUND: Septic critically ill children are at a high risk of inadequate antibiotic exposure, requiring them to undergo therapeutic drug monitoring (TDM). The aim of this study was to describe the use of TDM for antibiotics in critically ill children. METHODS: The authors conducted a single-center observational study between June and December 2019, with all children treated with antibiotics in a pediatric intensive care unit located in a French university hospital. Standard clinical and laboratory data were recorded. Blood samples were collected for routine laboratory tests, and plasma antibiotic levels were assayed using validated analytical methods. RESULTS: A total of 209 children received antibiotics. TDM was performed in 58 patients (27.8%) who had a greater mean organ dysfunction (according to the International Pediatric Sepsis Consensus Conference) (3 versus 1 in the non-TDM group; P < 0.05) and were treated with antibiotics for longer. A total of 208 samples were analyzed. The median [interquartile range] assay turnaround time was 3 (1-5) days, and 48 (46.2%) of the 104 initial antibiotic concentration values were below the pharmacokinetic/pharmacodynamic targets. A total of 34 (46%) of the 74 off-target TDM measurements available before the end of the antibiotic treatment prompted dose adjustment. This dose adjustment increased the proportion of on-target TDM measurements (70% versus 20% without adjustment). Subsequent measurements of the minimum inhibitory concentration showed that the use of the European Committee on Antimicrobial Susceptibility Testing's epidemiological cutoff values led to underestimation of pharmacokinetic/pharmacodynamic target attainment in 10 cases (20%). CONCLUSIONS: TDM seems to be an effective means of optimizing antibiotic exposure in critically ill children. This requires timely plasma antibiotic assays and minimum inhibitory concentration measurements. It is important to define which patients should undergo TDM and how this monitoring should be managed.

Cefepime population pharmacokinetics and dosing regimen optimization in critically ill children with different renal function.

OBJECTIVE: Cefepime is commonly used in pediatric intensive care units, where unpredictable variations in the patients' pharmacokinetic (PK) variables may require drug dose adjustments. The objectives of the present study were to build a population PK model for cefepime in critically ill children and to optimize individual initial dosing regimens. METHODS: Children (aged from 1 month to 18 years; body weight >3 kg) receiving cefepime were included. Cefepime total plasma concentrations were measured using high performance liquid chromatography. Data were modelled using nonlinear, mixed-effect modeling software, and Monte Carlo simulations were performed with a PK target of 100% fT > MIC. RESULTS: Fifty-nine patients (median (range) age: 13.5 months (1.1 months to 17.6 years)) and 129 cefepime concentration measurements were included. The cefepime concentration data were best fitted by a one-compartment model. The selected covariates were body weight with allometric scaling and estimated glomerular filtration rate on clearance. Mean population values for clearance and volume were 1.21 L/h and 4.8 L, respectively. According to the simulations, a regimen of 100 mg/kg/d q12 h over 30 min or 100 mg/kg/d as a continuous infusion was more likely to achieve the PK target in patients with renal failure and in patients with normal or augmented renal clearance, respectively. DISCUSSION: Appropriate cefepime dosing regimens should take renal function into account. Continuous infusions are required in critically ill children with normal or augmented renal clearance, while intermittent infusions are adequate for children with acute renal failure. Close therapeutic drug monitoring is mandatory, given cefepime's narrow therapeutic window.