212
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Population Pharmacokinetics and Model-Based Dose Optimization of Vancomycin in Sudanese Adult Patients with Renal Impairment

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 81-95 | Received 26 Jul 2023, Accepted 22 Dec 2023, Published online: 15 Jan 2024

Figures & data

Table 1 Summary of Patient Characteristics

Table 2 Summary of the Model Development Process

Table 3 Population Pharmacokinetic Parameter Estimate from Final Model and Bootstrap Validation

Figure 1 Simulated individual vancomycin clearance versus creatinine clearance.

Figure 1 Simulated individual vancomycin clearance versus creatinine clearance.

Figure 2 Individual and conditional weighted residuals versus time after the last dose (TAD) for the final model.

Notes: (A) Individual weight residual error (IWRES) vs time after first dose. (B) Conditional weight residual error (CWRES) vs time after first dose.
Figure 2 Individual and conditional weighted residuals versus time after the last dose (TAD) for the final model.

Figure 3 Normalized prediction distribution error (NPDE) plots of the observed concentrations and the final model (mean, −0.04612 [P >0.05]; variance, 0.8686326 [P > 0.05]).

Notes: (A) Histogram of the distribution of normalized prediction distribution error (NPDE) plots of the observed concentrations. (B) Histogram of the distribution of normalized prediction distribution error (NPDE) plots of the individual weighted predicted concentrations (IWRES) of the final model.
Figure 3 Normalized prediction distribution error (NPDE) plots of the observed concentrations and the final model (mean, −0.04612 [P >0.05]; variance, 0.8686326 [P > 0.05]).

Figure 4 Plot of the individual and population predictions versus observations for the final model.

Notes: (A) Observations vs individual prediction (OBS-PRED). (B) Observations vs population predicted concentrations (OBS-IPRED).
Figure 4 Plot of the individual and population predictions versus observations for the final model.

Figure 5 Visual predictive check (VPC) for vancomycin concentration versus time after first record for the final model. The dashed and solid black lines represent the 5th, 50th, and 95th percentiles of the observed data. The shaded regions represent the 95% confidence intervals around the 5th, 50th, and 95th percentiles of the simulated data.

Figure 5 Visual predictive check (VPC) for vancomycin concentration versus time after first record for the final model. The dashed and solid black lines represent the 5th, 50th, and 95th percentiles of the observed data. The shaded regions represent the 95% confidence intervals around the 5th, 50th, and 95th percentiles of the simulated data.

Figure 6 Bootstrap result for final model.

Notes: (A) V_pop: Typical value estimates of volume of distribution. (B) Cl_pop; Typical value estimates of clearance. (C) beta_Cl_logtCLcr; Fixed effect of creatinine clearance on CL. (D) omega_V: Standard deviation of random effects of volume of distribution. (E) omega_Cl: Standard deviation of random effects clearance. (F) b: Standard deviation of proportional error model.
Figure 6 Bootstrap result for final model.

Table 4 Optimal Maintenance Dose Based on Simulations with the Final Model

Table 5 PK/PD Simulation for Probability of Target Attainment > 90%