Evaluation of Bayesian estimation in comparison to NONMEM for population pharmacokinetic data analysis: Application to pefloxacin in intensive care unit patients

1992 ◽  
Vol 20 (6) ◽  
pp. 653-669 ◽  
Author(s):  
René Bruno ◽  
Marie-Camille Iliadis ◽  
Bruno Lacarelle ◽  
Val'erie Cosson ◽  
Jaap W. Mandema ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Data Analysis ◽  
Bayesian Estimation ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Data ◽  
Analysis Application

An alternative method for population pharmacokinetic data analysis under noncompliance

2008 ◽  
Vol 35 (2) ◽  
pp. 219-233 ◽  
Author(s):  
Pankaj Gupta ◽  
Matthew M. Hutmacher ◽  
Bill Frame ◽  
Raymond Miller
Keyword(s):  
Data Analysis ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Data ◽  
Alternative Method

scholarly journals Population Pharmacokinetic Model and Pharmacokinetic Target Attainment of Micafungin in Intensive Care Unit Patients

2017 ◽  
Vol 56 (10) ◽  
pp. 1197-1206 ◽  
Author(s):  
Lisa C. Martial ◽  
Rob ter Heine ◽  
Jeroen A. Schouten ◽  
Nicole G. Hunfeld ◽  
Henk J. van Leeuwen ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Population Pharmacokinetic Model ◽  
Pharmacokinetic Model ◽  
Population Pharmacokinetic ◽  
Target Attainment

scholarly journals Incidence of pressure injury and nursing care time in intensive care

2020 ◽  
Author(s):  
Yasmin Cardoso Metwaly Mohamed Ali ◽  
Taís Milena Milena Pantaleão Souza ◽  
Paulo Carlos Garcia ◽  
Paula Cristina Nogueira
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Retrospective Study ◽  
Data Analysis ◽  
Nursing Care ◽  
University Hospital ◽  
Central Tendency ◽  
Hospital Data ◽  
Nursing Team ◽  
Pressure Injury

Objectives: To correlate the incidence of pressure injury (PI) with the average time of nursing care in an intensive care unit (ICU). Method: Epidemiological, observational, retrospective study, carried out in the ICU of a university hospital. Data were collected by consulting the PI incidence and the average nursing care time from ICU databases between 2010 and 2014. Measures of central tendency and variability, and Pearson’s correlation coefficient were used for data analysis. Results: The average incidence of PI between 2010 and 2014 was 10.83% (SD = 2.87) and the average time spent in nursing care for patients admitted to the ICU was 15 hours (SD = 0.94). There was no statistically significant correlation between the incidence of PI and the nursing care time (r = -0.17; p = 0.199), however, the results suggested an overload on the nursing team. Conclusion: This study confirms the importance of implementing and reassessing the effectiveness of preventive care protocols for PI, in addition to warning about the work overload of nursing in assisting critically ill patients.

scholarly journals Population Pharmacokinetics of Ceftazidime in Intensive Care Unit Patients: Influence of Glomerular Filtration Rate, Mechanical Ventilation, and Reason for Admission

2009 ◽  
Vol 53 (10) ◽  
pp. 4483-4489 ◽  
Author(s):  
Bernard Georges ◽  
Jean-Marie Conil ◽  
Thierry Seguin ◽  
Stéphanie Ruiz ◽  
Vincent Minville ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Pharmacokinetic Model ◽  
Volume Of Distribution ◽  
Population Pharmacokinetic ◽  
Reason For Admission

ABSTRACT The aim of this study was to develop a population-pharmacokinetic model of ceftazidime in intensive care unit patients to include the influence of patients' characteristics on the pharmacokinetics. Forty-nine patients for model building and 23 patients for validation were included in a randomized study. They received ceftazidime at 2 g three times a day or as 6 g per day continuously. A NONMEM pharmacokinetic model was constructed, and the influences of covariates were studied. The model was validated by a comparison of the predicted and observed concentrations. A final model was elaborated from the whole population. Total clearance (CL) was significantly correlated with the glomerular filtration rate (GFR) calculated by modification of the diet in renal disease (MDRD), the central volume of distribution (V1) with intubation, and the peripheral volume of distribution (V2) with the reason for admission. The mean pharmacokinetic parameters were as follows: CL, 5.48 liters/h, 40%; V1, 10.48 liters, 34%; V2, 32.12 liters, 59%; total volume, 42.60 liters, 45%; and intercompartmental clearance, 16.19 liters/h, 42%. In the polytrauma population (mechanically ventilated), the time above the MIC at steady state never corresponds to 100% for discontinuous administration, and the target concentration of five times the MIC was reached with a 6-g/day dose only for patients with an MDRD of <150 ml/min. We showed that the GFR-MDRD, mechanical ventilation, and the reason for admission may influence the achieved concentrations of ceftazidime. Our model allows the a priori dosing to be adjusted to the individual patient.

scholarly journals Covid-19 clinical data analysis using Ball Mapper

2020 ◽  
Author(s):  
Pawel Dlotko ◽  
Simon Rudkin
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Data Analysis ◽  
Clinical Data ◽  
Test Data ◽  
Blood Test ◽  
Preliminary Work ◽  
Clinical Data Analysis ◽  
The Moment

AbstractIn this note we provide a result of analysis of blood test data from patients with SARS-Cov-2 using Ball Mapper Algorithm. We observe that patients with the virus and in particularly patients who end up in Intensive Care Unit have quite narrow values of those parameters. Please note that this is a preliminary work and it need to be validated on much larger dataset which we are trying to acquire at the moment.

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