Evaluation of Intravenous Phenobarbital Pharmacokinetics in Critically Ill Patients With Brain Injury

Phenobarbital is still one of the drugs of choice in managing patients with brain injury in the intensive care unit (ICU). However, the impact of acute physiological changes on phenobarbital pharmacokinetic parameters is not well studied. This study aimed to evaluate the pharmacokinetic parameters of parenteral phenobarbital in critically ill patients with brain injury. Patients with severe traumatic or non-traumatic brain injury at high risk of seizure were included and followed for seven days. All patients initially received phenobarbital as a loading dose of 15 mg/kg over 30-minutes infusion, followed by 2 mg/kg/day divided into three doses. Blood samples were obtained on the first and fourth day of study at 1, 2, 5, 8, and 10 hours after the end of the infusion. Serum concentrations of phenobarbital were measured by high-pressure liquid chromatography (HPLC) with an ultraviolet (UV) detector. Pharmacokinetic parameters, including the volume of distribution (Vd), half-life (t1/2), and the drug clearance (CL), were provided by MonolixSuite 2019R1 software using stochastic approximation expectation-maximization (SAEM) algorithm and compared with previously reported parameters in healthy volunteers. Data from seventeen patients were analyzed. The mean value±standard deviation of pharmacokinetic parameters was calculated as follows: Vd: 0.81±0.15 L/kg; t1/2: 6.16±2.66 days; CL: 4.23±1.51 ml/kg/h. CL and Vd were significantly lower and higher than the normal population with the value of 5.6 ml/kg/h (P=0.002) and 0.7 L/kg (P=0.01), respectively. Pharmacokinetic behavior of phenobarbital may change significantly in critically ill brain-injured patients. This study affirms the value of early phenobarbital therapeutic drug monitoring (TDM) to achieve therapeutic goals.

Synovial and Systemic Pharmacokinetics of Florfenicol and PK/PD Integration against Streptococcus suis in Pigs

Florfenicol is a member of the phenicol group, a broad-spectrum antibacterial agent. It has been used for a long time in veterinary medicine, but there are some factors regarding its pharmacokinetic characteristics that have yet to be elucidated. The aim of our study was to describe the pharmacokinetic profile of florfenicol in synovial fluid and plasma of swine after intramuscular (i.m.) administration. In addition, the dosage regimen of treatment of arthritis caused by S. suis was computed for florfenicol using pharmacokinetic/pharmacodynamic (PK/PD) indices. As the first part of our investigation, the pharmacokinetic (PK) parameters of florfenicol were determined in the plasma and synovial fluid of six pigs. Following drug administration (15 mg/kgbw, intramuscularly), blood was drawn at the following times: 10, 20, 30, 40, 50 and 60 min, 2, 3, 4, 5, 6, 7, 8, 12, 24, 48 and 72 h; synovial fluid samples were taken after 1, 2, 3, 4, 6, 8, 12, 24, 48 and 72 h. The concentration of florfenicol was determined by a validated liquid chromatography-mass spectrometry (LC-MS/MS) method via multiple reaction monitoring (MRM) modes. As the second part of our research, minimum inhibitory concentration (MIC) values of florfenicol were determined in 45 S. suis strains isolated from clinical samples collected in Hungary. Furthermore, a strain of S. suis serotype 2 (SS3) was selected, and killing-time curves of different florfenicol concentrations (0.5 µg/mL, 1 µg/mL and 2 µg/mL) were determined against this strain. Peak concentration of the florfenicol was 3.58 ± 1.51 µg/mL in plasma after 1.64 ± 1.74 h, while it was 2.73 ± 1.2 µg/mL in synovial fluid 3.4 ± 1.67 h after administration. The half-life in plasma was found to be 17.24 ± 9.35 h, while in synovial fluid it was 21.01 ± 13.19 h. The area under the curve (AUC24h) value was 54.66 ± 23.34 μg/mL·h for 24 h in plasma and 31.24 ± 6.82 μg/mL·h for 24 h in synovial fluid. The drug clearance scaled by bioavailability (Cl/F) in plasma and synovial fluid was 0.19 ± 0.08 L/h/kg and 0.29 ± 0.08 L/h/kg, respectively. The mean residence time (MRT) in plasma and synovial fluid was 24.0 ± 13.59 h and 27.39 ± 17.16 h, respectively. The steady-state volume of distribution (Vss) in plasma was calculated from Cl/F of 0.19 ± 0.08 L/h/kg, multiplied by MRT of 24.0 ± 13.59 h. For the PK/PD integration, average plasma and synovial fluid concentration of florfenicol was used in a steady-state condition. The obtained MIC50 value of the strains was 2.0 µg/mL, and MIC90 proved to be 16.0 µg/mL. PK/PD integration was performed considering AUC24h/MIC breakpoints that have already been described. This study is the first presentation of the pharmacokinetic behavior of florfenicol in swine synovia as well as a recommendation of extrapolated critical MICs of S. suis for therapeutic success in the treatment of S. suis arthritis in swine, but it should be noted that this requires a different dosage regimen to that used in authorized florfenicol formulations.

An Adaptive Biosystems Engineering Approach towards Modeling the Soluble-to-Insoluble Phase Transition of Clofazimine

Clofazimine (CFZ) is a weakly basic, small-molecule antibiotic used for the treatment of mycobacterial infections including leprosy and multidrug-resistant tuberculosis. Upon prolonged oral administration, CFZ precipitates and accumulates within macrophages throughout the host. To model the pharmacokinetics of CFZ, the volume of distribution (Vd) was considered as a varying parameter that increases with continuous drug loading. Fitting the time-dependent change in drug mass and concentration data obtained from CFZ-treated mice, we performed a quantitative analysis of the systemic disposition of the drug over a 20-week treatment period. The pharmacokinetics data were fitted using various classical compartmental models sampling serum and spleen concentration data into separate matrices. The models were constructed in NONMEM together with linear and nonlinear sigmoidal expansion functions to the spleen compartment to capture the phase transition in Vd. The different modeling approaches were compared by Akaike information criteria, observed and predicted concentration correlations, and graphically. Using the composite analysis of the modeling predictions, adaptive fractional CFZ sequestration, Vd and half-life were evaluated. When compared to standard compartmental models, an adaptive Vd model yielded a more accurate data fit of the drug concentrations in both the serum and spleen. Including a nonlinear sigmoidal equation into compartmental models captures the phase transition of drugs such as CFZ, greatly improving the prediction of population pharmacokinetics and yielding further insight into the mechanisms of drug disposition.

Cefepime precision dosing tool: From Standard to Precise Dose Using Nonparametric Population Pharmacokinetics

Cefepime is the second most common cephalosporin used in U.S. hospitals. We aim to develop and validate cefepime population pharmacokinetic (PK) model and integrate into precision dosing tool for implementation. Two datasets (680 patients) were used to build cefepime PK model in Pmetrics, and three datasets (34 patients) were used for the validation. A separate application dataset (115 patients) was used for the implementation and validation of a precision dosing tool. The model support points and covariates were used to generate the optimal initial dose (OID). Cefepime PK was described by a two-compartment model including weight and creatinine clearance (CrCl) as covariates. The median rate of elimination was 0.30 hr −1 (adults) and 0.96 hr −1 (pediatrics), central volume of distribution 13.85 L, and rate of transfer from the central to the peripheral compartments 1.22 hr −1 and from the peripheral to the central compartments 1.38 hr −1 . After integration in BestDose, the observed vs. predicted cefepime concentration fit using the application dataset was excellent (R 2 >0.98) and the median difference between observed and what BestDose predicted in a second occasion was 4%. For OID, cefepime 0.5-1g 4-hour infusion q8-24hr with CrCl<70 mL/min was needed to achieve a target range of free trough:MIC 1-4 at MIC 8 mg/L, while continuous infusion was needed for higher CrCl and weight values. In conclusion, we developed and validated a cefepime model for clinical application. The model was integrated in a precision dosing tool for implementation and the median concentration prediction bias was 4%. OID algorithm was provided.

New In Vitro Methodology for Kinetics Distribution Prediction in the Brain. An Additional Step towards an Animal-Free Approach

The development of new drugs or formulations for central nervous system (CNS) diseases is a complex pharmacologic and pharmacokinetic process; it is important to evaluate their access to the CNS through the blood−brain barrier (BBB) and their distribution once they have acceded to the brain. The gold standard tool for obtaining this information is the animal microdialysis technique; however, according to 3Rs principles, it would be better to have an “animal-free” alternative technique. Because of that, the purpose of this work was to develop a new formulation to substitute the brain homogenate in the in vitro tests used for the prediction of a drug’s distribution in the brain. Fresh eggs have been used to prepare an emulsion with the same proportion in proteins and lipids as a human brain; this emulsion has proved to be able to predict both the unbound fraction of drug in the brain (fu,brain) and the apparent volume of distribution in the brain (Vu,brain) when tested in in vitro permeability tests. The new formulation could be used as a screening tool; only the drugs with a proper in vitro distribution would pass to microdialysis studies, contributing to the refinement, reduction and replacement of animals in research.

Anesthesia Management in Intramural Uterine Myoma and Obesity Morbid Patients Who Underwent Myomectomy Perlaparatomy

Introduction. Obesity is a condition that increases the challenges in the surgical process. Obesity increases the risk of sleep apnea and affects anaesthetics. This case report aims to discuss the management of anaesthesia in a patient with morbid obesity. Case. Female, 26 years old, with intramural uterine myoma and morbid obesity, will undergo myomectomy per laparotomy with ASA II physical status, performed anaesthesia with general anaesthesia intubation technique using the anaesthetic agent Propofol 1-2.5 mg/kg titration until the patient falls asleep, fentanyl 1-2 mcg/kg, then the patient was intubated in a ramped position with sleep non-apnea. After it was confirmed that the ETT was entered, 30 mg of a muscle relaxant (atracurium) was added. The operation lasts 1 hour 30 minutes, with a bleeding 250 cc, hemodynamically stable. Conclusion. Morbid obesity has extraordinary implications for anaesthetic management. Various considerations for patients with morbid obesity are needed starting from the preoperative, intraoperative, to postoperative periods. Regional anaesthesia is preferred because the physiological function of unhealthy obese patients is impaired due to excess body weight. Selection of anaesthetic agent and calculation of drug dose is crucial to know because there is a change in the volume of distribution. The pharmacokinetics of most general anaesthetics are affected by the adipose tissue mass, produce a prolonged drug effect, and less predictable.

Pharmacokinetics of the disialoganglioside, GD2, a circulating tumor biomarker for neuroblastoma, in nonhuman primates

Background: The ganglioside GD2 is a potential circulating tumor biomarker for the childhood cancer, neuroblastoma. Interpreting the levels of a circulating tumor biomarker depends in part on a knowledge of the biomarker’s clinical pharmacology. Background: The ganglioside GD2 is a potential circulating tumor biomarker for the childhood cancer neuroblastoma. Interpreting the levels of a circulating tumor biomarker depends in part on a knowledge of the biomarker’s clinical pharmacology. Methods: We studied the plasma and cerebrospinal fluid (CSF) pharmacokinetics of the C18 lipoform of GD2 in two nonhuman primates with indwelling subcutaneous CSF lateral ventricular reservoir systems. GD2 was quantified with a validated high-performance liquid chromatography (HPLC)/tandem mass spectrometry assay. GD2 was administered as a short intravenous infusion and frequent plasma and CSF samples were drawn over 72 hours. Results: GD2 plasma concentration declined monoexponentially with a half-life of 16 hours. Clearance was 0.0136 and 0.0131 L/h and volume of distribution (Vd) was 0.035 and 0.038 L/kg in the two animals. Vd was equivalent to plasma volume. Greater than 98% of GD2 in plasma is in a bound form consistent with its known association with lipoproteins and accounting for its limited volume of distribution. GD2 did not cross over from plasma into the CSF. Conclusions: The pharmacokinetic profile of GD2 is favorable for a circulating tumor biomarker. This study demonstrates the value of characterizing the clinical pharmacology of circulating biomarkers to better understand their clinical behavior.

Population Pharmacokinetic and Concentration-QTc Analysis of Delamanid in Pediatric Participants with Multidrug-Resistant Tuberculosis

A population pharmacokinetic analysis of delamanid and its major metabolite DM-6705 was conducted to characterize the pharmacokinetics of delamanid and DM-6705 in pediatric participants with multidrug-resistant tuberculosis (MDR-TB). Data from participants between the ages of 0.67 to 17 years old, enrolled in 2 clinical trials, were utilized for the analysis. The final dataset contained 634 delamanid and 706 DM-6705 valid plasma concentrations from 37 children. A transit model with three compartments best described the absorption of delamanid. Two compartment models for each component with linear elimination were selected to characterize the disposition of delamanid and DM-6705, respectively. The covariates included in the model were body weight on apparent volume of distribution and apparent clearance (for both delamanid and DM-6705); formulation (dispersible vs film coated tablet) on mean absorption time; age, formulation, and dose on bioavailability of delamanid; age on the fraction of delamanid metabolized to DM-6705. Based on the simulations, doses for participants within different age/weight groups that result in delamanid exposure comparable to that in adults following the approved adult dose were calculated. By concentration-QTc (QTcB, QT corrected by Bazett’s' formula) analysis, a significant positive correlation was detected with concentrations of DM-6705. However, the model-predicted upper bounds of the 90% confidence intervals of ΔQTc value were less than 10 ms at the simulated Cmax of DM-6705 following administration of maximum doses simulated. This suggests that the effect on the QT interval following the proposed dosing is unlikely to be clinically meaningful in children with MDR-TB who receive delamanid.

Dose Tailoring of Vancomycin Through Population Pharmacokinetic Modeling Among Surgical Patients in Pakistan

Background: Vancomycin is a narrow therapeutic agent, and it is necessary to optimize the dose to achieve safe therapeutic outcomes. The purpose of this study was to identify the significant covariates for vancomycin clearance and to optimize the dose among surgical patients in Pakistan.Methods: Plasma concentration data of 176 samples collected from 58 surgical patients treated with vancomycin were used in this study. A population pharmacokinetic model was developed on NONMEM® using plasma concentration–time data. The effect of all available covariates was evaluated on the pharmacokinetic parameters of vancomycin by stepwise covariate modeling. The final model was evaluated using bootstrap, goodness-of-fit plots, and visual predictive checks.Results: The pharmacokinetics of vancomycin followed a one-compartment model with first-order elimination. The vancomycin clearance (CL) and volume of distribution (Vd) were 2.45 L/h and 22.6 l, respectively. Vancomycin CL was influenced by creatinine clearance (CRCL) and body weight of the patients; however, no covariate was significant for its effect on the volume of distribution. Dose tailoring was performed by simulating dosage regimens at a steady state based on the CRCL of the patients. The tailored doses were 400, 600, 800, and 1,000 mg for patients with a CRCL of 20, 60, 100, and 140 ml/min, respectively.Conclusion: Vancomycin CL is influenced by CRCL and body weight of the patient. This model can be helpful for the dose tailoring of vancomycin based on renal status in Pakistani patients.