Comparison of Trough-Only and Peak–Trough Concentration Data for the Calculation of Vancomycin Area under the Concentration–Time Curve on Day 2 Using Previous and Updated Population Pharmacokinetic Models
Abstract
Area under the concentration–time curve (AUC)-guided dosing for vancomycin requires the measurement of both peak and trough concentrations. Recently, a novel population pharmacokinetic model (Bayesian-based, free-web application PAT version 4.0) was developed. The aim of the present study was to verify whether this optimized pharmacokinetic model improved the predictive accuracy of AUC calculated using trough-only data compared to data obtained using trough and peak sampling on Day 2. We conducted a single-center, cohort study to evaluate the agreement of AUC calculated using trough-only data compared to peak–trough sampling on Day 2, and to compare results obtained with the Yasuhara (previous) and Oda (updated) pharmacokinetic models. The proportion of trough/peak–trough AUC24–48 ratios within a 5% difference was significantly higher with the Oda model than with the Yasuhara model (75 vs. 58.3%, p = 0.034). Furthermore, multivariate logistic regression analysis showed that implementation of the Oda model was a significant factor associated with deviation of trough/peak–trough AUC24–48 within 5% (odds ratio 2.36, 95% confidence interval, 1.05–5.05, p = 0.027). The updated model offers enhanced predictive performance for AUC24–48 estimation using trough-only data. Further development of strategies to improve the predictive accuracy of AUC24–48 using trough-only data is warranted.
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BibTeX
@article{niwa2026comparison,
title = {{Comparison of Trough-Only and Peak–Trough Concentration Data for the Calculation of Vancomycin Area under the Concentration–Time Curve on Day 2 Using Previous and Updated Population Pharmacokinetic Models}},
author = {Takashi Niwa and Yuto Yamada and Kazuyuki Sumi and Shino Ando and Koshi Sakaida and Rina Takenaka and Akari Nishimura and Mizuki Yamaguchi and Ayasa Goto-Fujibayashi and Koki Hara and Manami Otsubo and Ryohei Miyashita and Akio Suzuki},
journal = {Biological and Pharmaceutical Bulletin},
year = {2026},
month = jul,
doi = {10.1248/bpb.b26-00196},
url = {https://www.jstage.jst.go.jp/article/bpb/49/7/49_b26-00196/_article},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - Comparison of Trough-Only and Peak–Trough Concentration Data for the Calculation of Vancomycin Area under the Concentration–Time Curve on Day 2 Using Previous and Updated Population Pharmacokinetic Models
AU - Takashi Niwa
AU - Yuto Yamada
AU - Kazuyuki Sumi
AU - Shino Ando
AU - Koshi Sakaida
AU - Rina Takenaka
AU - Akari Nishimura
AU - Mizuki Yamaguchi
AU - Ayasa Goto-Fujibayashi
AU - Koki Hara
AU - Manami Otsubo
AU - Ryohei Miyashita
AU - Akio Suzuki
PY - 2026
DA - 2026/07/15
JO - Biological and Pharmaceutical Bulletin
DO - 10.1248/bpb.b26-00196
UR - https://www.jstage.jst.go.jp/article/bpb/49/7/49_b26-00196/_article
AB - Area under the concentration–time curve (AUC)-guided dosing for vancomycin requires the measurement of both peak and trough concentrations. Recently, a novel population pharmacokinetic model (Bayesian-based, free-web application PAT version 4.0) was developed. The aim of the present study was to verify whether this optimized pharmacokinetic model improved the predictive accuracy of AUC calculated using trough-only data compared to data obtained using trough and peak sampling on Day 2. We conducted a single-center, cohort study to evaluate the agreement of AUC calculated using trough-only data compared to peak–trough sampling on Day 2, and to compare results obtained with the Yasuhara (previous) and Oda (updated) pharmacokinetic models. The proportion of trough/peak–trough AUC24–48 ratios within a 5% difference was significantly higher with the Oda model than with the Yasuhara model (75 vs. 58.3%, p = 0.034). Furthermore, multivariate logistic regression analysis showed that implementation of the Oda model was a significant factor associated with deviation of trough/peak–trough AUC24–48 within 5% (odds ratio 2.36, 95% confidence interval, 1.05–5.05, p = 0.027). The updated model offers enhanced predictive performance for AUC24–48 estimation using trough-only data. Further development of strategies to improve the predictive accuracy of AUC24–48 using trough-only data is warranted.
SN - 1347-5215
SN - 0918-6158
ER -