Estimation of the pharmacokinetic parameters of the two-compartment open model from post-infusion plasma concentration data

1969 ◽  
Vol 58 (9) ◽  
pp. 1133-1135 ◽  
Author(s):  
Milo Gibaldi
Keyword(s):  
Plasma Concentration ◽  
Pharmacokinetic Parameters ◽  
Concentration Data ◽  
Open Model ◽  
Post Infusion ◽  
Compartment Open Model

Ketamine kinetics: decerebrate vs. intact cats

1979 ◽  
Vol 57 (8) ◽  
pp. 878-881 ◽  
Author(s):  
James E. Heavner ◽  
Duane C. Bloedow
Keyword(s):  
Apparent Volume ◽  
Volume Of Distribution ◽  
Drug Dose ◽  
The Body ◽  
Pharmacokinetic Parameters ◽  
Peripheral Compartment ◽  
Blood Concentrations ◽  
Open Model ◽  
Apparent Volume Of Distribution ◽  
Compartment Open Model

Pharmacokinetic parameters of a ketamine (10 mg/kg, iv) bolus in decerebrate and intact cats were compared. A two-compartment open model best described the data in both groups. The apparent volume of distribution of the peripheral compartment, the apparent volume of distribution of the drug in the body, and the half-life of the postdistributive phase were significantly less (p < 0.05) in the decerebrate animals. These results emphasize the importance of correlating behavior and neuronal activity with plasma or blood concentrations of drug in animals rather than assuming that, for a given drug dose, blood (and thus tissue) levels of the agent will be similar regardless of how the animal is prepared for study.

Clinical Rules for Phenytoin Dosing

1993 ◽  
Vol 27 (10) ◽  
pp. 1169-1173 ◽  
Author(s):  
Michael D. Privitera
Keyword(s):  
Plasma Concentration ◽  
Plasma Concentrations ◽  
Test Group ◽  
Patient Data ◽  
Pharmacokinetic Parameters ◽  
Concentration Data ◽  
Simple Method ◽  
Actual Patient ◽  
Initial Plasma ◽  
Clinical Rules

OBJECTIVE: To develop simple clinical rules for dosing phenytoin (PHT) using computer simulations, then to test the rules for accuracy and safety on actual patient data. DESIGN: Patients with steady-state PHT plasma concentrations at least two different PHT doses were identified from three separate sources of patient data. A computerized dosing program calculated pharmacokinetic parameters using Bayesian methodology, then predicted how many patients were likely to reach potentially toxic PHT plasma concentrations when their daily dosage was increased by 30, 50, or 100 mg. Dosing rules were developed to allow fewer than ten percent of resultant plasma concentrations to exceed 25 μg/mL. The dosing rules then were tested on dose/plasma concentration data from a separate group of patients. SETTING: All patients were being treated by neurologists either as outpatients or inpatients. PATIENTS: All patients were adults with epilepsy being treated with PHT; none had clinically significant renal or hepatic disease. Patients for the computer simulation were from three sources: (1) patients who had an initial PHT plasma concentration <10 μg/mL and required a dosage increase; (2) patients admitted to the hospital for PHT intoxication; and (3) patients who required consultations specifically for PHT dosing. Patients on whom the dosing rules were tested were part of a prospective, randomized trial of antiepileptic drug safety and efficacy. MAIN OUTCOME MEASURES: Successful dosing rules allowing fewer than ten percent of resulting plasma concentrations in the test group to exceed 25 μg/mL. RESULTS: The simulations used 167 actual dose/plasma concentration pairs from 45 patients. The resulting dosing rules were: increase the dosage by 100 mg/d if the initial plasma concentration was <7 μg/mL; increase the dosage by 50 mg/d if the initial plasma concentration is 7 to <12 μg/mL; increase the dosage by 30 mg/d if the initial plasma concentration is ≥12 μg/mL. The rules were tested on 129 50- or 100-mg dosage increases in 77 patients. All 53 dosage increases that were within the dosing rules produced plasma concentrations <25 μg/mL, whereas 36 percent (27 of 74) of the dosage increases that exceeded the dosing rules produced plasma concentrations >25 μg/mL. CONCLUSIONS: The proposed dosing rules are a simple method for clinicians to estimate PHT dosage changes and appear to be safe and accurate when applied retrospectively to actual patient data.

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

2021 ◽  
Vol 12 ◽  
Author(s):  
Muhammad Muaaz Munir ◽  
Huma Rasheed ◽  
Muhammad Imran Khokhar ◽  
Rizwan Rasul Khan ◽  
Hafiz Asad Saeed ◽  
...  
Keyword(s):  
Body Weight ◽  
Plasma Concentration ◽  
Goodness Of Fit ◽  
Volume Of Distribution ◽  
Surgical Patients ◽  
Pharmacokinetic Parameters ◽  
Population Pharmacokinetic ◽  
Time Data ◽  
Concentration Data ◽  
Population Pharmacokinetic Modeling

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.

scholarly journals Studies in Man with a Constant-Rate Infusion of Tubocurarine

1979 ◽  
Vol 7 (3) ◽  
pp. 209-214 ◽  
Author(s):  
C. A. Shanks ◽  
M. I. Ramzan ◽  
E. J. Triggs
Keyword(s):  
Plasma Concentration ◽  
Dose Response ◽  
Response Curve ◽  
Time Course ◽  
Regression Line ◽  
Plasma Concentrations ◽  
Pharmacokinetic Parameters ◽  
Response Curves ◽  
Constant Rate ◽  
Post Infusion

Tubocurarine (dTC) was administered to twenty patients by intravenous infusion at a predetermined constant rate, and the twitch responses recorded at stimulus intervals of 10 seconds (0.1 Hz). In half the group dTC plasma concentrations were measured both during and following the infusion. This provided data for derivation of the pharmacokinetic parameters, two plasma concentration-response curves and the dose-response curve. The mean effective dTC plasma concentration for 50% paralysis during the infusion (onset) was 0.93 fig/ml, but was lower post-infusion (offset) (0.54 μg/ml, p < 0.001). The steady state dTC plasma concentration which should produce 95% paralysis was predicted to lie between 0.95 and 1.67 μg/ml. In the range 20 to 80% paralysis the slopes of the two (log) concentration-response lines were similar, although steeper than the associated (log) dose-response regression line, the test for parallelism showed no statistical difference. Combination of the plasma concentration-response curve with pharmacokinetic models was used to predict the time course of paralysis in patients with normal and impaired renal function. Dose-response curves for the other 10 patients were also constructed to stimulus frequencies from 0.02 to 5 Hz. In the range 20 to 80% paralysis the regression lines appeared to be parallel. The results were pooled for all patients at a stimulation rate of 0.1 Hz, giving a mean effective dose of dTC at 95% paralysis of 0.53 mg/kg, and an ED50 of 0.22 mg/kg.

scholarly journals Evaluation of body-surface-area adjusted dosing of high-dose methotrexate by population pharmacokinetics in a large cohort of cancer patients

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Usman Arshad ◽  
Max Taubert ◽  
Tamina Seeger-Nukpezah ◽  
Sami Ullah ◽  
Kirsten C. Spindeldreier ◽  
...  
Keyword(s):  
Plasma Concentration ◽  
Surface Area ◽  
Body Surface Area ◽  
Body Surface ◽  
Large Cohort ◽  
Therapeutic Drug ◽  
High Dose ◽  
High Dose Methotrexate ◽  
Concentration Data ◽  
Dose Methotrexate

Abstract Background The aim of this study was to identify sources of variability including patient gender and body surface area (BSA) in pharmacokinetic (PK) exposure for high-dose methotrexate (MTX) continuous infusion in a large cohort of patients with hematological and solid malignancies. Methods We conducted a retrospective PK analysis of MTX plasma concentration data from hematological/oncological patients treated at the University Hospital of Cologne between 2005 and 2018. Nonlinear mixed effects modeling was performed. Covariate data on patient demographics and clinical chemistry parameters was incorporated to assess relationships with PK parameters. Simulations were conducted to compare exposure and probability of target attainment (PTA) under BSA adjusted, flat and stratified dosing regimens. Results Plasma concentration over time data (2182 measurements) from therapeutic drug monitoring from 229 patients was available. PK of MTX were best described by a three-compartment model. Values for clearance (CL) of 4.33 [2.95–5.92] L h− 1 and central volume of distribution of 4.29 [1.81–7.33] L were estimated. An inter-occasion variability of 23.1% (coefficient of variation) and an inter-individual variability of 29.7% were associated to CL, which was 16 [7–25] % lower in women. Serum creatinine, patient age, sex and BSA were significantly related to CL of MTX. Simulations suggested that differences in PTA between flat and BSA-based dosing were marginal, with stratified dosing performing best overall. Conclusion A dosing scheme with doses stratified across BSA quartiles is suggested to optimize target exposure attainment. Influence of patient sex on CL of MTX is present but small in magnitude.

scholarly journals In VitroDissolution andIn VivoBioavailability of Six Brands of Ciprofloxacin Tablets Administered in Rabbits and Their Pharmacokinetic Modeling

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Sahar Fahmy ◽  
Eman Abu-Gharbieh
Keyword(s):  
Pharmacokinetic Modeling ◽  
Pharmacokinetic Parameters ◽  
Noncompartmental Analysis ◽  
Dose Oral ◽  
Generic Products ◽  
Ensure Product Quality ◽  
Pharmacopoeial Requirements ◽  
Compartment Open Model

This study was undertaken to assess thein vitrodissolution andin vivobioavailability of six brands of ciprofloxacin oral tablets available in the UAE market using rabbits. Thein vitrodissolution profiles of the six ciprofloxacin products were determined using the USP dissolution paddle method. Pharmacokinetic modeling using compartmental and noncompartmental analysis was done to determine the pharmacokinetic parameters of ciprofloxacin after single-dose oral administration.In vitrorelease study revealed that the amount of ciprofloxacin released in 20 minutes was not less than 80% of the labeled amount which is in accordance with the pharmacopoeial requirements. All tested products are considered to be very rapid dissolving except for formulae A and D. Ciprofloxacin plasma concentration in rabbits was best fitted to a two-compartment open model. The lowest bioavailability was determined to be for product A (93.24%) while the highest bioavailability was determined to be for product E (108.01%). Postmarketing surveillance is very crucial to ensure product quality and eliminating substandard products to be distributed and, consequently, ensure better patient clinical outcome. The tested ciprofloxacin generic products distributed in the UAE market were proven to be of good quality and could be used interchangeably with the branded ciprofloxacin product.

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