12 research outputs found

    ΠŸΠΎΠΏΡƒΠ»ΡΡ†ΠΈΠΎΠ½Π½Π°Ρ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠ° ΠΌΠ΅Ρ€ΠΎΠΏΠ΅Π½Π΅ΠΌΠ° Ρƒ Π½Π΅Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ…

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    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.ОбоснованиС. ΠœΠ΅Ρ€ΠΎΠΏΠ΅Π½Π΅ΠΌ, Π°Π½Ρ‚ΠΈΠ±ΠΈΠΎΡ‚ΠΈΠΊ Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΊΠ°Ρ€Π±Π°ΠΏΠ΅Π½Π΅ΠΌΠΎΠ² ΡˆΠΈΡ€ΠΎΠΊΠΎΠ³ΠΎ спСктра, часто примСняСтся для лСчСния Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ…, нСсмотря Π½Π° Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ вСсьма ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… ΠΎ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠ΅ Π² этой популяции. Из-Π·Π° фармакокинСтичСских ΠΈ фармакодинамичСских Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΠΉ, Π° Ρ‚Π°ΠΊΠΆΠ΅ вслСдствиС Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, связанных с ростом ΠΈ созрСваниСм ΠΎΡ€Π³Π°Π½ΠΎΠ² ΠΈ систСм ΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠ°, прямоС ΠΌΠ°ΡΡˆΡ‚Π°Π±ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ экстраполяция Ρ€Π΅ΠΆΠΈΠΌΠΎΠ² дозирования, Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Π½Π½Ρ‹Ρ… взрослым ΠΈΠ»ΠΈ дСтям ΡΡ‚Π°Ρ€ΡˆΠ΅Π³ΠΎ возраста, с ΠΊΠΎΡ€Ρ€Π΅ΠΊΡ†ΠΈΠ΅ΠΉ Π½Π° массу Ρ‚Π΅Π»Π° ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° ΠΌΠΎΠ³ΡƒΡ‚ ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ΡŒ ΠΊ высокому риску токсичности ΠΈΠ»ΠΈ ΠΎΡ‚ΡΡƒΡ‚ΡΡ‚Π²ΠΈΡŽ эффСкта Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ. ЦСль исслСдования ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠΈ ΠΌΠ΅Ρ€ΠΎΠΏΠ΅Π½Π΅ΠΌΠ° Ρƒ Π½Π΅Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… Π½Π° основС Π΄Π°Π½Π½Ρ‹Ρ… тСрапСвтичСского лСкарствСнного ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° Π² Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΉ клиничСской ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅. ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹. Из 53 Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Π½Ρ‹Ρ… Π² фармакокинСтичСский/фармакодинамичСский Π°Π½Π°Π»ΠΈΠ· Π½Π΅Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… Ρƒ 39 (73,6%) гСстационный возраст Π±Ρ‹Π» Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… 2330 Π½Π΅Π΄. ΠŸΠΎΠΏΡƒΠ»ΡΡ†ΠΈΠΎΠ½Π½Ρ‹Π΅ ΠΈ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½Ρ‹Π΅ значСния фармакокинСтичСских ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π±Ρ‹Π»ΠΈ ΠΎΡ†Π΅Π½Π΅Π½Ρ‹ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ NPAG ΠΈΠ· ΠΏΠ°ΠΊΠ΅Ρ‚Π° Pmetrics Π½Π° основС Π΄Π°Π½Π½Ρ‹Ρ… тСрапСвтичСского лСкарствСнного ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° (стратСгия пикспад). Π˜Π·ΠΌΠ΅Ρ€Π΅Π½ΠΈΡ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΡΡŒ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ высокоэффСктивной Тидкостной Ρ…Ρ€ΠΎΠΌΠ°Ρ‚ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. ΠžΠ΄Π½ΠΎΠΊΠ°ΠΌΠ΅Ρ€Π½Π°Ρ фармакокинСтичСская модСль с процСссом Π½ΡƒΠ»Π΅Π²ΠΎΠ³ΠΎ порядка поступлСния ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π° Π² ΠΊΠ°ΠΌΠ΅Ρ€Ρƒ ΠΈ процСссом элиминации ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ порядка использовалась для описания фармакокинСтичСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ расчСта фармакодинамичСского ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π° (%T МПК свободного ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π°) для Π²ΠΈΡ€Ρ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π»ΠΎΡΡŒ быстроС, срСднСС ΠΈ ΠΌΠ΅Π΄Π»Π΅Π½Π½ΠΎΠ΅ Π²Ρ‹Π²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΌΠ΅Ρ€ΠΎΠΏΠ΅Π½Π΅ΠΌΠ° ΠΏΡ€ΠΈ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½ΠΈΠΈ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Ρ€Π΅ΠΆΠΈΠΌΠΎΠ² дозирования для Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ минимальной ΠΏΠΎΠ΄Π°Π²Π»ΡΡŽΡ‰Π΅ΠΉ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ (МПК). Одно-ΠΈ ΠΌΠ½ΠΎΠ³ΠΎΡ„Π°ΠΊΡ‚ΠΎΡ€Π½Ρ‹ΠΉ рСгрСссионный Π°Π½Π°Π»ΠΈΠ· примСнялся для выявлСния характСристик (ΠΊΠΎΠ²Π°Ρ€ΠΈΠ°Ρ‚) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° (гСстационный возраст, ΠΏΠΎΡΡ‚Π½Π°Ρ‚Π°Π»ΡŒΠ½Ρ‹ΠΉ возраст, ΠΏΠΎΡΡ‚ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΉ возраст, масса Ρ‚Π΅Π»Π°, клирСнс ΠΊΡ€Π΅Π°Ρ‚ΠΈΠ½ΠΈΠ½Π°, рассчитанный ΠΏΠΎ Ρ„ΠΎΡ€ΠΌΡƒΠ»Π΅ Π¨Π²Π°Ρ€Ρ†Π°, ΠΈ Π΄Ρ€.), Π²Π»ΠΈΡΡŽΡ‰ΠΈΡ… Π½Π° ΠΎΡ†Π΅Π½Π΅Π½Π½Ρ‹Π΅ фармакокинСтичСскиС ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ ΠΌΠ΅Ρ€ΠΎΠΏΠ΅Π½Π΅ΠΌΠ°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π˜Π΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ популяционныС фармакокинСтичСскиС ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ ΠΌΠ΅Ρ€ΠΎΠΏΠ΅Π½Π΅ΠΌΠ° Ρƒ Π½Π΅Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… (ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ полувывСдСния T1/2 = 1,93 0,341 Ρ‡; клирСнс CL = 0,26 0,085 Π»/Ρ‡/ΠΊΠ³; объСм распрСдСлСния V = 0,71 0,22 Π»/Ρ‡) Ρ…ΠΎΡ€ΠΎΡˆΠΎ ΡΠΎΠ³Π»Π°ΡΡƒΡŽΡ‚ΡΡ с ΠΎΠΏΡƒΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Π½Ρ‹ΠΌΠΈ Π² Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ для взрослых, Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… ΠΈ Π΄Π΅Ρ‚Π΅ΠΉ ΡΡ‚Π°Ρ€ΡˆΠ΅Π³ΠΎ возраста. ЀармакокинСтичСскоС/фармакодинамичСскоС ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, Ρ‡Ρ‚ΠΎ Ρ€Π΅ΠΆΠΈΠΌ дозирования 90 ΠΌΠ³/ΠΊΠ³/сут с ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»ΠΎΠΌ ввСдСния 8 Ρ‡ ΠΈ 3-часовой ΠΈΠ½Ρ„ΡƒΠ·ΠΈΠ΅ΠΉ Π² Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Π΅ случаСв ΠΈΠΌΠ΅Π΅Ρ‚ Π²Ρ‹ΡΠΎΠΊΡƒΡŽ Π²Π΅Ρ€ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒ достиТСния фармакодинамичСской Ρ†Π΅Π»ΠΈ ΠΏΡ€ΠΈ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ основных Π²Π½ΡƒΡ‚Ρ€ΠΈΠ±ΠΎΠ»ΡŒΠ½ΠΈΡ‡Π½Ρ‹Ρ… ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ, Π΄Π°ΠΆΠ΅ для рСзистСнтных Π²ΠΎΠ·Π±ΡƒΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ с МПК 8 ΠΌΠ³/Π» ΠΈ Π²Ρ‹ΡˆΠ΅. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. НовороТдСнным ΠΈ особСнно Π½Π΅Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹ΠΌ Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹ΠΌ свойствСнна Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ фармакокинСтичСская Π²Π°Ρ€ΠΈΠ°Π±Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. Π”ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ΅Ρ€ΠΎΠΏΠ΅Π½Π΅ΠΌΠ° Π½Π΅Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹ΠΌ Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹ΠΌ Π½Π° основС популяционной фармакокинСтичСской/фармакодинамичСской ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ частично ΡƒΡ‡Π΅ΡΡ‚ΡŒ эту Π²Π°Ρ€ΠΈΠ°Π±Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ, Π½ΠΎ ΠΏΠΎΠ»Π½ΠΎΡΡ‚ΡŒΡŽ ΠΎΠ±ΡŠΡΡΠ½ΠΈΡ‚ΡŒ Π΅Π΅ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΊΠΎΠ²Π°Ρ€ΠΈΠ°Ρ‚ Π½Π΅ прСдставляСтся Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹ΠΌ. ΠŸΠ΅Ρ€ΡΠΎΠ½Π°Π»ΠΈΠ·Π°Ρ†ΠΈΡ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π½Π° основС байСсовского ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° ΠΈ Π΄Π°Π½Π½Ρ‹Ρ… тСрапСвтичСского лСкарствСнного ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° ΠΌΠΎΠΆΠ΅Ρ‚ ΠΏΠΎΠΌΠΎΡ‡ΡŒ Π² достиТСнии Π²Ρ‹Π±Ρ€Π°Π½Π½ΠΎΠΉ фармакодинамичСской Ρ†Π΅Π»ΠΈ

    Population pharmacokinetic analysis of levetiracetam therapeutic drug monitoring data of preterm newborns with neonatal seizures

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    Neonatal seizures remain a significant neurologic condition with higher incidences in preterm newborns. There still is a lack of evidence-based recommendations for the optimal choice of antiseizure drug (ASD) and effective dosing in term and preterm neonates. Phenobarbital continues to be widely used as the first-line ASD in neonates. Levetiracetam (LEV) is a relatively new ASD with favorable safety profile and positive efficacy outcomes for neonatal seizures. LEV is increasingly being used to treat seizures in newborns. Objective of the research: the population PK modeling based on TDM data assessed at intravenous (IV) LEV monotherapy as the first-line ASD in preterm newborns. Materials and methods: of 45 preterm neonates included in the LEV retrospective PK analysis, gestational age (GA) ranged from 22 to 36 weeks, in 30 (67%) patients GA was 22-28 weeks. Population and individual PK parameter values were estimated by the NPAG program from the Pmetrics package based on peak-trough TDM. Samples were assayed by high-performance liquid chromatography. One-compartment PK model with zero-order input and first-order elimination was used to fit LEV concentration data from 101 TDM occasions (201 measured concentrations totally). In the majority of cases, the LEV daily doses were 30 mg/kg/day (ranged from 20 up to 50 mg/kg/day), administered twice a day with 12-hour dosing interval in divided doses. Univariate and multivariate regression analysis was used to evaluate the influence of patient’s covariates on distribution of the estimated LEV PK parameters. Results: when compared to adults and older children, preterm newborns were found to have in average a higher volume of distribution (V), longer half-life (T1/2) and lower clearance (CL). Taking into consideration the lower GA and PCA of the neonates included into this PK study, the identified population PK parameters of LEV in preterm newborns were in good agreement with those published in the literature for neonates: the estimated T1/2 values have a 20% to 80% range of 11 to 32 hrs, the median values for CL and V were 1,22 ml/min/kg and 1,5 L/kg, respectively. LEV was tolerated well in the study age-group, no serious adverse events were evident during or after 30-min IV LEV infusions. Conclusion: the study revealed significant variability in the estimated PK parameters in preterm infants. The results of regression analysis showed that it is not possible to fully explain PK variability using covariates in a statistical model. Personalizing of the LEV anti-seizure treatment for the preterm newborns can be based on the Bayesian forecasting approach and a patient’s TDM data. Β© 2021, Pediatria Ltd.. All rights reserved

    Population pharmacokinetics of meropenem in preterm infants [ΠŸΠΎΠΏΡƒΠ»ΡΡ†ΠΈΠΎΠ½Π½Π°Ρ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠ° ΠΌΠ΅Ρ€ΠΎΠΏΠ΅Π½Π΅ΠΌΠ° Ρƒ Π½Π΅Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ…]

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    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 patient's 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 β€œpatients” with simulated fast, moderate and slow meropenem elimination β€œreceived” different dosage by minimum inhibitory concentration (MIC) level. Univariate and multivariate regression analysis was used to evaluate the influence of patient's 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 Β± 0.341 h; clearance CL = 0.26 Β± 0.085 L/h/kg; volume of distribution V = 0.71 Β± 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 β‰₯ 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 patient's therapeutic drug monitoring data can help to achieve desired pharmacodynamic target. Β© 2021 Izdatel'stvo Meditsina. All rights reserved

    ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΠΈ тСрапСвтичСского лСкарствСнного ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° Π»Π΅Π²Π΅Ρ‚ΠΈΡ€Π°Ρ†Π΅Ρ‚Π°ΠΌΠ° Ρƒ Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ…

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    Neonatal seizures in fullterm and preterm infants represent a common neurological syndrome. Levetiracetam (LEV) is one of the new and widely prescribed secondor thirdline antiepileptic drug for the treatment of seizures. Routine therapeutic drug monitoring of LEV was not recommended due to its almost ideal pharmacokinetic profile: linear pharmacokinetics, predictable doseconcentration relationship, wide therapeutic index, favourable safety profile, and unlikely clinically significant drugdrug pharmacokinetic interactions. In newborns, drug pharmacokinetics may be under the influence of maturation process. LEV pharmacokinetics in newborns appears to be age (gestational, postnatal) dependent and highly variable within the age ranges. These aspects make therapeutic drug monitoring a useful procedure for therapy optimization in this specific patient population. In population modeling based on therapeutic drug monitoring and nonlinear mixed effects models, covariates were found that should significantly affect the LEV clearance and volume of distribution in newborns - creatinine clearance and total body weight. Using of these regression equations can help to adjust the LEV doses without the patient's measured concentration data. But the significant magnitudes of the interindividual variability remaining in these final regression models justify the need for therapeutic drug monitoring and Bayesian adaptive control for personalization of LEV dosage regimens in neonates.ΠΠ΅ΠΎΠ½Π°Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ судороги Ρƒ Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… ΠΈ Π½Π΅Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… (НР) ΡΠ²Π»ΡΡŽΡ‚ΡΡ часто Π²ΡΡ‚Ρ€Π΅Ρ‡Π°ΡŽΡ‰ΠΈΠΌΡΡ нСврологичСским синдромом. Одним ΠΈΠ· Π½ΠΎΠ²Ρ‹Ρ… ΠΈ ΡˆΠΈΡ€ΠΎΠΊΠΎ Π½Π°Π·Π½Π°Ρ‡Π°Π΅ΠΌΡ‹Ρ… противоэпилСптичСских ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² 2-3ΠΉ Π»ΠΈΠ½ΠΈΠΈ для Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ судорог Ρƒ НР являСтся Π»Π΅Π²Π΅Ρ‚ΠΈΡ€Π°Ρ†Π΅Ρ‚Π°ΠΌ (LEV). Π ΡƒΡ‚ΠΈΠ½Π½ΠΎΠ΅ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ тСрапСвтичСского лСкарствСнного ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° LEV Π½Π΅ Π±Ρ‹Π»ΠΎ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Π½ΠΎ, ΠΏΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ ΠΈΠΌΠ΅Π΅Ρ‚ практичСски ΠΈΠ΄Π΅Π°Π»ΡŒΠ½Ρ‹ΠΉ фармакокинСтичСский ΠΏΡ€ΠΎΡ„ΠΈΠ»ΡŒ: линСйная Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠ°, прСдсказуСмоС ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ Π΄ΠΎΠ·Π°-концСнтрация, высокий тСрапСвтичСский индСкс, благоприятный ΠΏΡ€ΠΎΡ„ΠΈΠ»ΡŒ бСзопасности, маловСроятноС клиничСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎΠ΅ фармакокинСтичСскоС взаимовлияниС с Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π°ΠΌΠΈ. Π£ НР практичСски всС основныС процСссы, ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΡŽΡ‰ΠΈΠ΅ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΡƒ ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π°, ΠΌΠΎΠ³ΡƒΡ‚ Π½Π°Ρ…ΠΎΠ΄ΠΈΡ‚ΡŒΡΡ ΠΏΠΎΠ΄ влияниСм Π΅Ρ‰Π΅ Π½Π΅Π·Π°ΠΊΠΎΠ½Ρ‡Π΅Π½Π½ΠΎΠ³ΠΎ процСсса созрСвания. Π€Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠ° LEV Ρƒ НР зависит ΠΎΡ‚ возраста (гСстационного, ΠΏΠΎΡΡ‚Π½Π°Ρ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ), Π½ΠΎ Π²Π½ΡƒΡ‚Ρ€ΠΈ возрастных Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ΠΎΠ² Π½Π°Π±Π»ΡŽΠ΄Π°Π΅Ρ‚ΡΡ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ ΠΌΠ΅ΠΆΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½Π°Ρ Π²Π°Ρ€ΠΈΠ°Π±Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. ВсС это ΡΠ²ΠΈΠ΄Π΅Ρ‚Π΅Π»ΡŒΡΡ‚Π²ΡƒΠ΅Ρ‚ ΠΎ нСобходимости тСрапСвтичСского лСкарствСнного ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° для ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ LEV Π² этой спСцифичСской популяции ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ². ΠŸΡ€ΠΈ популяционном ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ с использованиСм Π΄Π°Π½Π½Ρ‹Ρ… тСрапСвтичСского лСкарствСнного ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΈ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½Ρ‹Ρ… ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠΌΠ΅ΡˆΠ°Π½Π½Ρ‹Ρ… эффСктов Π±Ρ‹Π»ΠΈ выявлСны ΠΊΠΎΠ²Π°Ρ€ΠΈΠ°Ρ‚Ρ‹, Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Π²Π»ΠΈΡΡŽΡ‰ΠΈΠ΅ Π½Π° клирСнс ΠΈ объСм распрСдСлСния LEV Ρƒ НР, - клирСнс ΠΊΡ€Π΅Π°Ρ‚ΠΈΠ½ΠΈΠ½Π° ΠΈ масса Ρ‚Π΅Π»Π°. ИспользованиС Ρ‚Π°ΠΊΠΈΡ… рСгрСссионных ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΉ ΠΌΠΎΠΆΠ΅Ρ‚ ΠΏΠΎΠΌΠΎΡ‡ΡŒ Π² ΠΊΠΎΡ€Ρ€Π΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²ΠΊΠ΅ Π΄ΠΎΠ· LEV Π±Π΅Π· измСрСния ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΉ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°. Однако Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ доля ΠΌΠ΅ΠΆΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ Π²Π°Ρ€ΠΈΠ°Π±Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ, ΠΊΠΎΡ‚ΠΎΡ€ΡƒΡŽ Π½Π΅ удаСтся ΠΎΠ±ΡŠΡΡΠ½ΠΈΡ‚ΡŒ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ рСгрСссионной ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΡΠ²ΠΈΠ΄Π΅Ρ‚Π΅Π»ΡŒΡΡ‚Π²ΡƒΠ΅Ρ‚ Π² ΠΏΠΎΠ»ΡŒΠ·Ρƒ тСрапСвтичСского лСкарствСнного ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΈ БайСсовского Π°Π΄Π°ΠΏΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° для пСрсонализации Ρ€Π΅ΠΆΠΈΠΌΠΎΠ² дозирования LEV Ρƒ НР

    Π€Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠ° Π°Π½Ρ‚ΠΈΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² ΠΏΡ€ΠΈ муковисцидозС Π² дСтском возрастС

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    Cystic fibrosis (CF) is one of the most frequent hereditary multisystem disease. Pathogenesis of lung damage includes development of chronic microbial-inflammatory process on the background of severe violation of mucociliary clearance. Proper and timely antibiotic therapy of infectious process determines the disease prognosis greatly. To select an effective antibacterial drugs dosing regimen, it is necessary to take into account pathophysiological features of cystic fibrosis, which determine the unique pharmacokinetics (PK) in this category of patients. The review describes significant effect of age on such PK processes as: absorption, distribution, biotransformation, and elimination. The influence of factors affecting pharmacokinetics of antibacterial drugs in cystic fibrosis in childhood (transit through digestive tube, state of biliary system, biotransformation processes, etc.) is disclosed. Studying pharmacokinetics of antibacterial drugs in children with CF will increase the effectiveness of treatment, reduce the risks of antibiotic resistance, and improve the overall prognosis.ΠœΡƒΠΊΠΎΠ²ΠΈΡΡ†ΠΈΠ΄ΠΎΠ· (ΠœΠ’) являСтся ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· самых частых наслСдствСнных ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡΠΈΡΡ‚Π΅ΠΌΠ½Ρ‹Ρ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. Π’ ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π΅Π·Π΅ поврСТдСния Π»Π΅Π³ΠΊΠΈΡ… Π»Π΅ΠΆΠΈΡ‚ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ хроничСского ΠΌΠΈΠΊΡ€ΠΎΠ±Π½ΠΎ-Π²ΠΎΡΠΏΠ°Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ процСсса Π½Π° Ρ„ΠΎΠ½Π΅ Π³Ρ€ΡƒΠ±ΠΎΠ³ΠΎ Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ ΠΌΡƒΠΊΠΎΡ†ΠΈΠ»ΠΈΠ°Ρ€Π½ΠΎΠ³ΠΎ клирСнса. АдСкватная ΠΈ своСврСмСнная Π°Π½Ρ‚ΠΈΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Π°Ρ тСрапия ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ процСсса Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΎΠΌ опрСдСляСт ΠΏΡ€ΠΎΠ³Π½ΠΎΠ· заболСвания. Для Π²Ρ‹Π±ΠΎΡ€Π° эффСктивного Ρ€Π΅ΠΆΠΈΠΌΠ° дозирования Π°Π½Ρ‚ΠΈΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°Ρ‚ΡŒ патофизиологичСскиС особСнности муковисцидоза, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΎΠ±ΡƒΡΠ»Π°Π²Π»ΠΈΠ²Π°ΡŽΡ‚ ΡƒΠ½ΠΈΠΊΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠΈ (ЀК) Ρƒ этой ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ². Π’ ΠΎΠ±Π·ΠΎΡ€Π΅ описано Π·Π½Π°Ρ‡ΠΈΠΌΠΎΠ΅ влияниС возраста Π½Π° ЀК процСссы, Ρ‚Π°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ: абсорбция, распрСдСлСниС, биотрансформация ΠΈ элиминация. Раскрыто влияниС Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², Π²Π»ΠΈΡΡŽΡ‰ΠΈΡ… Π½Π° Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΡƒ Π°Π½Ρ‚ΠΈΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² ΠΏΡ€ΠΈ муковисцидозС Π² дСтском возрастС (Ρ‚Ρ€Π°Π½Π·ΠΈΡ‚ ΠΏΠΎ ΠΏΠΈΡ‰Π΅Π²Π°Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Ρ‚Ρ€ΡƒΠ±ΠΊΠ΅, состояниС Π±ΠΈΠ»ΠΈΠ°Ρ€Π½ΠΎΠΉ систСмы, процСссы биотрансформации ΠΈ Ρ‚. Π΄.). Π˜Π·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠΈ Π°Π½Ρ‚ΠΈΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² Ρƒ Π΄Π΅Ρ‚Π΅ΠΉ, Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠœΠ’, ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ ΠΏΠΎΠ²Ρ‹ΡΠΈΡ‚ΡŒ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠΌΠΎΠ³ΠΎ лСчСния, ΡΠ½ΠΈΠ·ΠΈΡ‚ΡŒ риски антибиотикорСзистСнтности ΠΈ Π² Ρ†Π΅Π»ΠΎΠΌ ΡƒΠ»ΡƒΡ‡ΡˆΠΈΡ‚ΡŒ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·

    Safety, pharmacokinetics and pharmacodynamics of an original glycoprotein IIb/IIIa inhibitor in healthy volunteers: results of the clinical trial [Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ клиничСского исслСдования бСзопасности, Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠΊΠΈΠ½Π΅Ρ‚ΠΈΠΊΠΈ ΠΈ Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΎΡ€ΠΈΠ³ΠΈΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π°Π½Ρ‚ΠΈΡ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚Π°Ρ€Π½ΠΎΠ³ΠΎ ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π° ΠΈΠ· Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€ΠΎΠ² Π³Π»ΠΈΠΊΠΎΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½ΠΎΠ²Ρ‹Ρ… IIb/IIIa-Ρ€Π΅Ρ†Π΅ΠΏΡ‚ΠΎΡ€ΠΎΠ² Ρƒ Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹Ρ… Π΄ΠΎΠ±Ρ€ΠΎΠ²ΠΎΠ»ΡŒΡ†Π΅Π²]

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    Aim. To study the tolerability, safety, pharmacokinetics (PK) and pharmacodynamics of single intravenous infusions of Angipur in healthy male volunteers. Material and methods. The Phase I trial included 20 healthy male volunteers (mean age, 30,8Β±7,7 years; mean body weight, 77,4Β±12,1 kg). Angipur (0,02% concentrate for solution for infusion) was administered to every subject in single doses 0,015, 0,05, 0,09 mg/kg for 3 consecutive days. Volunteers were divided in 6 groups (1, 1, 3, 5, 5, 5); every following group was recruited only after the previous one finished the study. The following were assessed: rate and severity of adverse events (AEs), key PK parameters of Angipur and its antiplatelet activity by impedance aggregometry. Results. No moderate or severe AEs, as well as no serious AEs were reported according to obtained data of clinical and laboratory monitoring of healthy subjects. Totally 6 mild AEs were registered in 4 subjects. Four AEs (mild hematological deviations and episode of nose bleed) were classified as possibly related to study drug and 1 AE (positive fecal occult blood test) β€” probably related. Key PK parameters of Angipur in single intravenous doses 0,015, 0,05 ΠΈ 0,09 mg/kg were determined as follows: Cmax β€” 12,44Β±4,689, 46,10Β±14,295, 92,48Β±33,896 ng/ml; Vd β€” 304,01Β±55,300, 299,67Β±64,244, 252,96Β±47,790 l; T1/2 β€” 6,72Β±1,290, 6,84Β±2,341, 6,06Β±2,287 h; Cl β€” 32,19Β±6,919, 32,29Β±8,357, 31,55Β±10,113 l/h, respectively. Dose proportionality (linear PK) for parameters Cmax, AUC0-t and AUC0-∞ was established. Dose-dependent reduction of ADP-induced platelet aggregation degree and area under curve was revealed at period of 15 min to 2-4 h after Angipur infusion in doses 0,05 and 0,09 mg/kg. Conclusion. Results of phase I clinical trial demonstrated good tolerability of single intravenous infusions of Angipur (0,015, 0,05 ΠΈ 0,09 mg/kg) in healthy subjects. We determined key PK parameters and indicated dose-dependent antiplatelet activity of Angipur. Β© 2022 Vserossiiskoe Obshchestvo Kardiologov. All rights reserved

    Age peculiarities of pharmacotherapy with amoxicillin preparations in children with cystic fibrosis

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    Amoxicillin and amoxicillin/clavulanate are the medicines of choice for the treatment of infections caused by Staphylococcus aureus and Haemophilus influenzae in children with cystic fibrosis (CF) n the Russian Federation. However, pharmacokinetics (PK) of amoxicillin for CF in childhood was never studied. Objective of the research: To study the pharmacokinetic parameters of amoxicillin in different age periods in children with CF. Materials and methods: 19 patients with CF aged from 2 to 16 years took part in the study. After taking the medicine in mean dose of 31,25 mg/kg (from 28 to 34,5 mg/kg), blood was taken every 1,5 hours after a single dose for 7,5 hours. Pharmacokinetic parameters were assessed using the non-compartmental method in three age subgroups: 2-5 years, 6-11 years, and 12-16 years. Results: High interindividual variability of studied PK parameters was revealed. The lowest values of median AUC0-t, ΞΌg*h/ml and AUC0-t norm (ΞΌg*h/ml)/(mg/kg) (11,34 and 0,4, respectively) were in the subgroup of children aged 2-5 years. The highest values of median AUC0-t, ΞΌg*h/ml and AUC0-t norm (ΞΌg*h/ml)/(mg/kg) (18,45 and 0,64, respectively) were in the subgroup of 12-16 years old adolescents with CF. Values of Cmax (ΞΌg/ml) and Cmax norm (ΞΌg/ml)/(mg/kg) in the younger age group median were 2,79 ΞΌg/ml and 0,1 (ΞΌg/ml)/(mg/kg), in adolescent subgroup-5,47 ΞΌg/ml and 0,16 (ΞΌg/ml)/(mg/kg), respectively. Median time to reach maximum amoxicillin concentration in blood plasma in the subgroup of children aged 2-5 years with CF was 1,5 hours (1,5-3 hours); in subgroups of 6-11 years and 12-16 years, the median was estimated as 3 hours. Conclusion: Considering the results obtained, it can be assumed that, on average, the total clearance of amoxicillin decreases with age. Further studies of PC/pharmacodynamics are needed to develop adequate dosing regimens of amoxicillin for CF, especially in the group of children under 5 years of age. Β© 2019, Pediatria Ltd.. All rights reserved
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