Model-Informed Precision Dosing of Remimazolam in General Anesthesia Patients
Yueting Chen,1,* Zuo-Jing Zhang,2,* Xiao-Feng Zhang,2 Yuan Peng,2 Zheng Jiao,1,* Jing-Xiang Wu2,* 1Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China; 2Department of A...
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Dove Medical Press
2025-06-01
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| author | Chen Y Zhang ZJ Zhang XF Peng Y Jiao Z Wu JX |
| author_facet | Chen Y Zhang ZJ Zhang XF Peng Y Jiao Z Wu JX |
| author_sort | Chen Y |
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| description | Yueting Chen,1,* Zuo-Jing Zhang,2,* Xiao-Feng Zhang,2 Yuan Peng,2 Zheng Jiao,1,* Jing-Xiang Wu2,* 1Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China; 2Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zheng Jiao, Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, People’s Republic of China, Email jiaozhen@online.sh.cn Jing-Xiang Wu, Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Xuhui District, Shanghai, 200030, People’s Republic of China, Tel +86 021-22200000-3302, Fax +86 021-32260806, Email wjx1132@163.comPurpose: This study aimed to characterize the pharmacokinetics/pharmacodynamics (PK/PD) of remimazolam in patients under general anesthesia using a population analysis and to develop a web-based dashboard tool that directly displays the optimal dosing regimen for general anesthesia.Patients and Methods: A total of 20 patients received remimazolam for general anesthesia, during which intensive arterial blood samples and bispectral index (BIS) values were collected. A population PK/PD model was established, and goodness-of-fit and visual predictive check plots were utilized to evaluate the model’s accuracy. Additionally, RxODE and Shiny in R were used to design a web-based dashboard tool to recommend optimal dosing regimens.Results: The three-compartment model with first elimination best described the PK profiles of remimazolam. PK parameters were weight-adjusted via allometric scaling. The correlation between drug exposure and the BIS was optimally characterized through an effect compartment model employing an inhibitory sigmoid Emax model. In addition, a web-based dashboard tool was created to offer initial personalized dosing strategies for general anesthesia procedures, enhanced by graphical representations of the PK/PD profiles associated with the recommended dosing regimens.Conclusion: The developed population PK/PD model effectively captured the dose-exposure-response relationship for remimazolam, allowing for the optimization of personalized dosing strategies.Keywords: general anesthesia, monte carlo simulation, optimized dosing regimens, population pharmacokinetics/pharmacodynamics models, remimazolam, web-based dashboard |
| format | Article |
| id | doaj-art-97c1aa6ca622479db79fea40adb326fe |
| institution | Kabale University |
| issn | 1177-8881 |
| language | English |
| publishDate | 2025-06-01 |
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| series | Drug Design, Development and Therapy |
| spelling | doaj-art-97c1aa6ca622479db79fea40adb326fe2025-08-20T03:29:52ZengDove Medical PressDrug Design, Development and Therapy1177-88812025-06-01Volume 19Issue 150995109103924Model-Informed Precision Dosing of Remimazolam in General Anesthesia PatientsChen Y0Zhang ZJ1Zhang XFPeng YJiao Z2Wu JX3Department of PharmacyanesthesiologyPharmacy DepartmentAnesthesiologyYueting Chen,1,* Zuo-Jing Zhang,2,* Xiao-Feng Zhang,2 Yuan Peng,2 Zheng Jiao,1,* Jing-Xiang Wu2,* 1Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China; 2Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zheng Jiao, Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, People’s Republic of China, Email jiaozhen@online.sh.cn Jing-Xiang Wu, Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Xuhui District, Shanghai, 200030, People’s Republic of China, Tel +86 021-22200000-3302, Fax +86 021-32260806, Email wjx1132@163.comPurpose: This study aimed to characterize the pharmacokinetics/pharmacodynamics (PK/PD) of remimazolam in patients under general anesthesia using a population analysis and to develop a web-based dashboard tool that directly displays the optimal dosing regimen for general anesthesia.Patients and Methods: A total of 20 patients received remimazolam for general anesthesia, during which intensive arterial blood samples and bispectral index (BIS) values were collected. A population PK/PD model was established, and goodness-of-fit and visual predictive check plots were utilized to evaluate the model’s accuracy. Additionally, RxODE and Shiny in R were used to design a web-based dashboard tool to recommend optimal dosing regimens.Results: The three-compartment model with first elimination best described the PK profiles of remimazolam. PK parameters were weight-adjusted via allometric scaling. The correlation between drug exposure and the BIS was optimally characterized through an effect compartment model employing an inhibitory sigmoid Emax model. In addition, a web-based dashboard tool was created to offer initial personalized dosing strategies for general anesthesia procedures, enhanced by graphical representations of the PK/PD profiles associated with the recommended dosing regimens.Conclusion: The developed population PK/PD model effectively captured the dose-exposure-response relationship for remimazolam, allowing for the optimization of personalized dosing strategies.Keywords: general anesthesia, monte carlo simulation, optimized dosing regimens, population pharmacokinetics/pharmacodynamics models, remimazolam, web-based dashboardhttps://www.dovepress.com/model-informed-precision-dosing-of-remimazolam-in-general-anesthesia-p-peer-reviewed-fulltext-article-DDDTGeneral AnesthesiaMonte Carlo simulationOptimized Dosing RegimensPopulation Pharmacokinetics / Pharmacodynamics modelsRemimazolamWeb-based Dashboard |
| spellingShingle | Chen Y Zhang ZJ Zhang XF Peng Y Jiao Z Wu JX Model-Informed Precision Dosing of Remimazolam in General Anesthesia Patients Drug Design, Development and Therapy General Anesthesia Monte Carlo simulation Optimized Dosing Regimens Population Pharmacokinetics / Pharmacodynamics models Remimazolam Web-based Dashboard |
| title | Model-Informed Precision Dosing of Remimazolam in General Anesthesia Patients |
| title_full | Model-Informed Precision Dosing of Remimazolam in General Anesthesia Patients |
| title_fullStr | Model-Informed Precision Dosing of Remimazolam in General Anesthesia Patients |
| title_full_unstemmed | Model-Informed Precision Dosing of Remimazolam in General Anesthesia Patients |
| title_short | Model-Informed Precision Dosing of Remimazolam in General Anesthesia Patients |
| title_sort | model informed precision dosing of remimazolam in general anesthesia patients |
| topic | General Anesthesia Monte Carlo simulation Optimized Dosing Regimens Population Pharmacokinetics / Pharmacodynamics models Remimazolam Web-based Dashboard |
| url | https://www.dovepress.com/model-informed-precision-dosing-of-remimazolam-in-general-anesthesia-p-peer-reviewed-fulltext-article-DDDT |
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