PDF
Full
Outline
OBJECTIVE To promote individualized mediaction of vancomycin in pediatric patients by model-informed precision dosing. METHODS The data of vancomycin serum concentration were collected, and the population pharmacokinetics model, which is suitable for Chinese children, was selected through literature search and external validation. The optimal model was embedded into the user-defined module of JPKD software, and a prediction program of individualized medication was established based on maximum a posteriori-Bayesian. This program was applied to individualized dose adjustment for pediatric patients. Case-based clinical practice was used to evaluate the application of this program. RESULTS A total of 32 vancomycin concentration data collected from 22 children with a median age of 6.04 years (44 weeks to 14.58 years) were used for external validation. Comparing the predicted concentration with the measured concentration, the mean prediction error, mean absolute prediction error and mean squared prediction error were (0.098 4±0.141) (0.109±0.133) mg·L-1 and (0.029 0±0.087 2) mg2·L-2, respectively. The results of external validation showed that the selected model had an acceptable predictive performance and was appropriate for the target group in this study. Dosing regimens of vancomycin were adjusted for four pediatric patients based on the predicted results of individualized adjuvant medication program, which led to an effectively improved target attainment situation of vancomycin trough concentration and AUC24 h, significantly convalescent clinical symptoms and inflammatory indicators, while no adverse reactions occurred. CONCLUSION In the current study, a prediction program for individualized medication of vancomycin is successfully established by independent programming and applied to clinical cases. It guarantees the effectiveness and safety of anti-infective therapy for patients.
PDF
134
61
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
