A pharmacokinetic simulation study to assess the performance of a sparse blood sampling approach to quantify early drug exposure. Issue 4 (1st May 2021)
- Record Type:
- Journal Article
- Title:
- A pharmacokinetic simulation study to assess the performance of a sparse blood sampling approach to quantify early drug exposure. Issue 4 (1st May 2021)
- Main Title:
- A pharmacokinetic simulation study to assess the performance of a sparse blood sampling approach to quantify early drug exposure
- Authors:
- Sathe, Abhishek G.
Brundage, Richard C.
Ivaturi, Vijay
Cloyd, James C.
Chamberlain, James M.
Elm, Jordan J.
Silbergleit, Robert
Kapur, Jaideep
Coles, Lisa D. - Abstract:
- Abstract: Estimating early exposure of drugs used for the treatment of emergent conditions is challenging because blood sampling to measure concentrations is difficult. The objective of this work was to evaluate predictive performance of two early concentrations and prior pharmacokinetic (PK) information for estimating early exposure. The performance of a modeling approach was compared with a noncompartmental analysis (NCA). A simulation study was performed using literature‐based models for phenytoin (PHT), levetiracetam (LEV), and valproic acid (VPA). These models were used to simulate rich concentration‐time profiles from 0 to 2 h. Profiles without residual unexplained variability (RUV) were used to obtain the true partial area under the curve (pAUC) until 2 h after the start of drug infusion. From the profiles with the RUV, two concentrations per patient were randomly selected. These concentrations were analyzed under a population model to obtain individual population PK (PopPK) pAUCs. The NCA pAUCs were calculated using a linear trapezoidal rule. Percent prediction errors (PPEs) for the PopPK pAUCs and NCA pAUCs were calculated. A PPE within ±20% of the true value was considered a success and the number of successes was obtained for 100 simulated datasets. For PHT, LEV, and VPA, respectively, the median value of the success statistics obtained using the PopPK approach of 81%, 92%, and 88% were significantly higher than the 72%, 80%, and 67% using the NCA approach ( pAbstract: Estimating early exposure of drugs used for the treatment of emergent conditions is challenging because blood sampling to measure concentrations is difficult. The objective of this work was to evaluate predictive performance of two early concentrations and prior pharmacokinetic (PK) information for estimating early exposure. The performance of a modeling approach was compared with a noncompartmental analysis (NCA). A simulation study was performed using literature‐based models for phenytoin (PHT), levetiracetam (LEV), and valproic acid (VPA). These models were used to simulate rich concentration‐time profiles from 0 to 2 h. Profiles without residual unexplained variability (RUV) were used to obtain the true partial area under the curve (pAUC) until 2 h after the start of drug infusion. From the profiles with the RUV, two concentrations per patient were randomly selected. These concentrations were analyzed under a population model to obtain individual population PK (PopPK) pAUCs. The NCA pAUCs were calculated using a linear trapezoidal rule. Percent prediction errors (PPEs) for the PopPK pAUCs and NCA pAUCs were calculated. A PPE within ±20% of the true value was considered a success and the number of successes was obtained for 100 simulated datasets. For PHT, LEV, and VPA, respectively, the median value of the success statistics obtained using the PopPK approach of 81%, 92%, and 88% were significantly higher than the 72%, 80%, and 67% using the NCA approach ( p < 0.05; Mann–Whitney U test). This study provides a means by which early exposure can be estimated with good precision from two concentrations and a PopPK approach. It can be applied to other settings in which early exposures are of interest. … (more)
- Is Part Of:
- Clinical and translational science. Volume 14:Issue 4(2021)
- Journal:
- Clinical and translational science
- Issue:
- Volume 14:Issue 4(2021)
- Issue Display:
- Volume 14, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 14
- Issue:
- 4
- Issue Sort Value:
- 2021-0014-0004-0000
- Page Start:
- 1444
- Page End:
- 1451
- Publication Date:
- 2021-05-01
- Subjects:
- Medicine, Experimental -- Periodicals
Medical innovations -- Periodicals
616.027 - Journal URLs:
- http://www3.interscience.wiley.com/journal/118902557/home ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/cts.13004 ↗
- Languages:
- English
- ISSNs:
- 1752-8054
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.255400
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18347.xml