EUROPEAN PAEDIATRIC ONCOLOGY OFF-PATENT MEDICINES CONSORTIUM (EPOC): A PHARMACOKINETIC STUDY OF DOXORUBICIN IN CHILDREN WITH CANCER

BackgroundDoxorubicin is a key component of a number of treatment regimens used in paediatric oncology. The pharmacology data on which current dosing regimens are based are very limited.MethodsWe conducted a multicentre, multinational pharmacokinetic study investigating age-dependency in the clearance of doxorubicin in children with solid tumours and leukaemia. Blood samples for measurement of doxorubicin and its metabolite doxorubicinol were collected after 2 administrations, with 5 samples collected in children 3 yrs. A population pharmacokinetic approach was used for analysis, including pharmacogenetic covariates. NT-proBNP and cardiac troponin T were measured to evaluate their role as early indicators of cardiotoxicity.Results101 children could be recruited including 27 patients less than 3 years and among those 5 infants younger than 1 year. Overall, the patient acceptance of the trial was very good.Age dependence of doxorubicin clearance was demonstrated, with children less than 3 years having a lower clearance (21.1±5.8 l/h/m2) than older children (26.6±6.7 l/h/m2) (p=0.0004), after correcting for body weight. Pharmacogenetic variants, including those in transporters and drug metabolizing enzymes, had little influence on pharmacokinetic parameters.Natriuretic peptides plasma levels increased significantly shortly after doxorubicin administration, whereas cardiac troponin levels increased only with the administered cumulative anthracycline dose. Only limited correlation could be observed between their blood levels and doxorubicin pharmacokinetics.ConclusionThe paediatric need concerning missing PK-data could be addressed with limited burden for the patients. Empirically used dose adaptations for infants were found to be justified based on our PK analyses.

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Population Pharmacokinetics of Meropenem in Preterm Infants

Annals of the Russian academy of medical sciences ◽

10.15690/vramn1449 ◽

2021 ◽

Vol 76 (5) ◽

pp. 497-505

Author(s):

Irina B. Bondareva ◽

Sergey K. Zyryanov ◽

Aleksandra M. Kazanova

Keyword(s):

Therapeutic Drug Monitoring ◽

Pharmacokinetic Parameter ◽

Gestational Age ◽

Drug Monitoring ◽

Pharmacokinetic Parameters ◽

Therapeutic Drug ◽

Population Pharmacokinetic ◽

Pharmacokinetic Variability ◽

Older Children ◽

Term Neonates

Background. Meropenem, a broad spectrum carbapenem antibiotic, is often used for newborns despite of limited data available on neonatal pharmacokinetics. Due to pharmacokinetic and pharmacodynamic differences as well as to significant changes in the human body related to growth and maturation of organs and systems, direct scaling and dosing extrapolation from adults or older children with adjustment on patients weight can result in increased risk of toxicity or treatment failures. Aims to evaluate the pharmacokinetics of meropenem in premature neonates based on therapeutic drug monitoring data in real clinical settings. Materials. Of 53 pre-term neonates included in the pharmacokinetic/pharmacodynamic analysis, in 39 (73.6%) patients, gestational age ranged from 23 to 30 weeks. Population and individual pharmacokinetic parameter values were estimated by the NPAG program from the Pmetrics package based on peak-trough therapeutic drug monitoring. Samples were assayed by high-performance liquid chromatography. One-compartment pharmacokinetic model with zero-order input and first-order elimination was used to fit concentration data and to predict pharmacokinetic parameter (%T MIC of free drug) for virtual patients with simulated fast, moderate and slow meropenem elimination received different dosage by minimum inhibitory concentration (MIC) level. Univariate and multivariate regression analysis was used to evaluate the influence of patients covariates (gestational age, postnatal age, postconceptual age, body weight, creatinine clearance calculated by Schwartz formula, etc) on estimated meropenem pharmacokinetic parameters. Results. The identified population pharmacokinetic parameters of meropenem in pre-term newborns (elimination half-lives T1/2 = 1.93 0.341 h; clearance CL = 0.26 0.085 L/h/ kg; volume of distribution V = 0.71 0.22 L/h) were in good agreement with those published in the literature for adults, neonates and older children. Pharmacokinetic/pharmacodynamic modeling demonstrated that a meropenem dosage regimen of 90 mg/kg/day administered using prolonged 3-hour infusion every 8 hours should be considered as potentially effective therapy if nosocomial infections with resistant organisms (MIC 8 mg/L) are treated. Conclusions. Neonates and especially pre-term neonates have a great pharmacokinetic variability. Meropenem dosing in premature newborns derived from population pharmacokinetic/pharmacodynamic model can partly overcome the variability, but not all pharmacokinetic variability can be explained by covariates in a model. Further personalizing based on Bayesian forecasting approach and a patients therapeutic drug monitoring data can help to achieve desired pharmacodynamic target.

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Population Pharmacokinetic Study of Cefathiamidine in Infants With Augmented Renal Clearance

Frontiers in Pharmacology ◽

10.3389/fphar.2021.630047 ◽

2021 ◽

Vol 12 ◽

Author(s):

Bin Du ◽

Yue Zhou ◽

Bo-Hao Tang ◽

Yue-E Wu ◽

Xin-Mei Yang ◽

...

Keyword(s):

Renal Clearance ◽

Pharmacokinetic Study ◽

Compartment Model ◽

Volume Of Distribution ◽

Pharmacokinetic Parameters ◽

Population Pharmacokinetic ◽

Pharmacokinetic Studies ◽

Augmented Renal Clearance ◽

Population Pharmacokinetic Study ◽

Dosing Regimens

Objectives: Augmented renal clearance (ARC) of primarily renally eliminated antibacterial agents may result in subtherapeutic antibiotic concentrations and, as a consequence, worse clinical outcomes. Cefathiamidine is frequently used as empirical antimicrobial therapy in children with ARC, but pharmacokinetic studies in infants are lacking. This population pharmacokinetic study in infants with ARC was conducted to determine optimal dosing regimens of cefathiamidine.Methods: The population pharmacokinetics was conducted in 20 infants treated with cefathiamidine. Plasma samples of cefathiamidine were collected using opportunistic sampling, and the concentrations were detected by UPLC-MS/MS. Data analysis was performed to determine pharmacokinetic parameters and to characterize pharmacokinetic variability of cefathiamidine using nonlinear mixed effects modelling (NONMEM) software program.Results: The data (n = 36) from 20 infants (age range, 0.35–1.86 years) with ARC were fitted best with a 1-compartment model. Allometrically scaled weight and age as significant covariates influenced cefathiamidine pharmacokinetics. The median (range) values of estimated clearance and the volume of distribution were 0.22 (0.09–0.29) L/h/kg and 0.34 (0.24–0.41) L/kg, respectively. Monte Carlo simulations showed that the cefathiamidine doses of 100 mg/kg/day q12 h, 50 mg/kg/day q8 h and 75 mg/kg/day q6 h were chosen for bacteria with MIC 0.25, 0.5 and 2 mg/L, respectively.Conclusion: The population pharmacokinetic model of cefathiamidine for infants with ARC was developed. The PTA - based dosing regimens were recommended based on the final model.

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Abstract 17152: Artificial Intelligence ECG for the Detection of Cardiac Injury as Confirmed by High Sensitivity Cardiac Troponin T-Concentrations

Circulation ◽

10.1161/circ.142.suppl_3.17152 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Zachi I Attia ◽

Yader Sandoval ◽

Rickey Carter ◽

Suraj Kapa ◽

Francisco Lopez-jimenez ◽

...

Keyword(s):

Artificial Intelligence ◽

Risk Stratification ◽

Cardiac Troponin ◽

Troponin T ◽

High Sensitivity ◽

Blood Levels ◽

Test Set ◽

Myocyte Injury ◽

Home Based ◽

Ctnt Level

Background: High-sensitivity cardiac troponin (hs-cTn) assays quantify cTn in patients at very low concentrations. Myocyte injury due to ischemia or other pathologies cause blood levels to increase, which is prognostic. A noninvasive, rapid, broadly available, home-based test to detect hs-cTn increases would facilitate risk-stratification. Since myocyte injury is associated with ECG changes, we hypothesized an artificial intelligence ECG (AI-ECG) could non-invasively predict current or impending hs-cTnT elevations. Objective: To develop an AI-ECG convolutional neural network (CNN) to detect an abnormal hs-cTnT (5 th Gen cTnT, Roche Diagnostics) concentration using a 12-lead ECG, and a single lead ECG (lead I), which would enable smartphone, home-based detection. Methods: We developed single lead and 12-lead ECG CNNs to detect a) hs-cTnT concentrations that were at or above the 6ng/L limit that can be reported b) above the 99 th percentile upper limits of >15ng/L for men and >10ng/L for women. All ECGs were recorded within one hour of the hs-cTnT measurements. We used 73,012 ECG and hs-cTnT pairs from 47,542 unique patients to train the network, 9031 ECGs from 5,811 patients for internal validation to optimize hyperparameters, and 18,276 ECG and hs-cTnT pairs from 11,904 different patients as a holdout test set to determine the area under the receiver-operator curve (AUC). Results: The mean age was 63.9±17.5 years, and 30,348 of the 59,446 patients (51%) were male. Of the 91,288 hs-cTnT pairs 73,271 (80.2%) were above 6ng/L and 50,799 (55.6%) are above the 99 th percentile. In the test set, the AUC for the detection of a hs-cTnT level higher than 6ng/L was 0.88 using the 12 lead ECG and 0.834 with the single lead. For the detection of hs-cTnT level above of 99 th percentile, the 12 lead ECG AUC was 0.853 and the single lead was 0.806. Conclusion: The AI-ECG permits detection of levels of hs-cTnT consistent with myocardial injury. This may allow a home-based, non-invasive test that would be massively scalable and could further enhance rapid-risk stratification and patient triage with potentially significant cost reductions and enable novel triage strategies at sites without hs-cTn assays.

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