TY - JOUR
T1 - Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients
T2 - Can We Use It?
AU - Li, Letao
AU - Sassen, Sebastiaan D.T.
AU - Ewoldt, Tim M.J.
AU - Abdulla, Alan
AU - Hunfeld, Nicole G.M.
AU - Muller, Anouk E.
AU - de Winter, Brenda C.M.
AU - Endeman, Henrik
AU - Koch, Birgit C.P.
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/2/13
Y1 - 2023/2/13
N2 - The number of pharmacokinetic (PK) models of meropenem is increasing. However, the daily role of these PK models in the clinic remains unclear, especially for critically ill patients. Therefore, we evaluated the published meropenem models on real-world ICU data to assess their suitability for use in clinical practice. All models were built in NONMEM and evaluated using prediction and simulation-based diagnostics for the ability to predict the subsequent meropenem concentrations without plasma concentrations (a priori), and with plasma concentrations (a posteriori), for use in therapeutic drug monitoring (TDM). Eighteen PopPK models were included for evaluation. The a priori fit of the models, without the use of plasma concentrations, was poor, with a prediction error (PE)% of the interquartile range (IQR) exceeding the ±30% threshold. The fit improved when one to three concentrations were used to improve model predictions for TDM purposes. Two models were in the acceptable range with an IQR PE% within ±30%, when two or three concentrations were used. The role of PK models to determine the starting dose of meropenem in this population seems limited. However, certain models might be suitable for TDM-based dose adjustment using two to three plasma concentrations.
AB - The number of pharmacokinetic (PK) models of meropenem is increasing. However, the daily role of these PK models in the clinic remains unclear, especially for critically ill patients. Therefore, we evaluated the published meropenem models on real-world ICU data to assess their suitability for use in clinical practice. All models were built in NONMEM and evaluated using prediction and simulation-based diagnostics for the ability to predict the subsequent meropenem concentrations without plasma concentrations (a priori), and with plasma concentrations (a posteriori), for use in therapeutic drug monitoring (TDM). Eighteen PopPK models were included for evaluation. The a priori fit of the models, without the use of plasma concentrations, was poor, with a prediction error (PE)% of the interquartile range (IQR) exceeding the ±30% threshold. The fit improved when one to three concentrations were used to improve model predictions for TDM purposes. Two models were in the acceptable range with an IQR PE% within ±30%, when two or three concentrations were used. The role of PK models to determine the starting dose of meropenem in this population seems limited. However, certain models might be suitable for TDM-based dose adjustment using two to three plasma concentrations.
UR - http://www.scopus.com/inward/record.url?scp=85148904152&partnerID=8YFLogxK
U2 - 10.3390/antibiotics12020383
DO - 10.3390/antibiotics12020383
M3 - Article
C2 - 36830294
AN - SCOPUS:85148904152
SN - 2079-6382
VL - 12
JO - Antibiotics
JF - Antibiotics
IS - 2
M1 - 383
ER -