Advancing Daptomycin Precision Dosing Through Evaluation of Published Population Pharmacokinetic Models and Development of a Dosing Tool

Background: Daptomycin is an important antibiotic against multidrug-resistant Gram-positive infections, but its wide interindividual variability and narrow therapeutic window pose challenges for optimal dosing. Population pharmacokinetic (PopPK) models provide a quantitative framework for precision dosing, yet a systematic evaluation of existing models and their clinical application method remains lacking. Methods: Model structures, demographic characteristics, and covariate effects were systematically summarized from previously published papers. Predictive performance was compared through simulations in virtual populations with varying renal function. Monte Carlo simulations were performed to evaluate the probability of target attainment (PTA; AUC24 h /MIC ≥ 666) and the probability of toxicity (Cmin ≥ 24.3 mg/L). Furthermore, an open-access precision dosing tool was developed based on maximum a posteriori Bayesian estimation using representative model structure and parameters. Results: Eighteen PopPK studies were included in this analysis. Renal function was the most frequently identified covariate influencing clearance. Model comparisons revealed variability in predicting exposure and PTA. Simulations indicated that patients with impaired renal function face a higher risk of exceeding the toxicity threshold, even at moderate doses. The developed Shiny-based tool enables real-time estimation of AUC and Cmin, integration of therapeutic drug monitoring data, and individualized dose adjustment. Conclusion: This study provides a comprehensive evaluation of daptomycin PopPK models and translates these findings into a practical precision dosing tool. This work enhances understanding of interindividual variability of daptomycin and offers clinicians a scientifically grounded resource to optimize daptomycin therapy in diverse patient populations. Keywords: population pharmacokinetic, precision dosing, daptomycin, renal impairment

Authors

Institutions

Publication Details

Journal
Drug Design Development and Therapy
Published
2026-03-01
DOI
https://doi.org/10.2147/dddt.s581874
Primary Topic
Antibiotics Pharmacokinetics and Efficacy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing Daptomycin Precision Dosing Through Evaluation of Published Population Pharmacokinetic Models and Development of a Dosing Tool

L Sorlí, Gehang Ju, S Luque, Jinquan Chen et al.
Drug Design Development and Therapy
Antibiotics Pharmacokinetics and Efficacy
article

Advancing Daptomycin Precision Dosing Through Evaluation of Published Population Pharmacokinetic Models and Development of a Dosing Tool

L Sorlí, Gehang Ju, S Luque, Jinquan Chen, Cheng Qian, Huamin Yuan, Ningze Xu, C Comajuan Mendoza, Chen Ma, Li Liu, Xiao Zhu, Xin Liu, Lin Ren, Xi Xie
article en

Abstract

Background: Daptomycin is an important antibiotic against multidrug-resistant Gram-positive infections, but its wide interindividual variability and narrow therapeutic window pose challenges for optimal dosing. Population pharmacokinetic (PopPK) models provide a quantitative framework for precision dosing, yet a systematic evaluation of existing models and their clinical application method remains lacking. Methods: Model structures, demographic characteristics, and covariate effects were systematically summarized from previously published papers. Predictive performance was compared through simulations in virtual populations with varying renal function. Monte Carlo simulations were performed to evaluate the probability of target attainment (PTA; AUC24 h /MIC ≥ 666) and the probability of toxicity (Cmin ≥ 24.3 mg/L). Furthermore, an open-access precision dosing tool was developed based on maximum a posteriori Bayesian estimation using representative model structure and parameters. Results: Eighteen PopPK studies were included in this analysis. Renal function was the most frequently identified covariate influencing clearance. Model comparisons revealed variability in predicting exposure and PTA. Simulations indicated that patients with impaired renal function face a higher risk of exceeding the toxicity threshold, even at moderate doses. The developed Shiny-based tool enables real-time estimation of AUC and Cmin, integration of therapeutic drug monitoring data, and individualized dose adjustment. Conclusion: This study provides a comprehensive evaluation of daptomycin PopPK models and translates these findings into a practical precision dosing tool. This work enhances understanding of interindividual variability of daptomycin and offers clinicians a scientifically grounded resource to optimize daptomycin therapy in diverse patient populations. Keywords: population pharmacokinetic, precision dosing, daptomycin, renal impairment

Drug Design Development and TherapyVol. Volume 20
Central South University (CN), Fudan University (CN), Soochow University (CN), Beijing Institute of Big Data Research (CN), Second People Hospital of Hunan (CN), Wuhan Prevention and Treatment Center for Occupational Diseases (CN), Hospital Del Mar (ES), Sansure Biotech (China) (CN), First Affiliated Hospital of Soochow University (CN), Hospital del Mar Research Institute (ES), University of South China (CN)
Openalex Percentile: Top 7%
Antibiotics Pharmacokinetics and Efficacy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.