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Model-informed Precision Dosing of Aripiprazole in Chinese Patients With Schizophrenia in Clinical Practice
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Shuyan ZENG1, 2, Wanting HUANG1, 2, Hui XIA1, 2, Zhihao GUO1, 2, Shanqing HUANG1, 3, Dewei SHANG1, 3, *
Pharmacy Today | 2026, 36(4) : 299 - 307
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Pharmacy Today | 2026, 36(4): 299-307
Model-informed Precision Dosing of Aripiprazole in Chinese Patients With Schizophrenia in Clinical Practice
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Shuyan ZENG1, 2, Wanting HUANG1, 2, Hui XIA1, 2, Zhihao GUO1, 2, Shanqing HUANG1, 3, Dewei SHANG1, 3, *
Affiliations
  • 1.The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510000, China
  • 2.School of Pharmacy, Guangzhou Medical University, Guangzhou, Guangdong 510000, China
  • 3.Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong 510000, China
Published: 2026-04-25 doi: 10.12048/j.issn.1674-229X.2026.04.009
Outline
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OBJECTIVE

To establish a new pathway for the external validation of population pharmacokinetics (PPK) models based on real-world data, using aripiprazole in the treatment of schizophrenia as an example, and to explore a novel strategy for the clinical application of model-informed precision dosing (MIPD) and its feasibility.

METHODS

A total of 101 patients with schizophrenia (1 178 blood drug concentration samples) were retrospectively enrolled at a class Ⅲ Grade A specialized hospital. Published PPK models of aripiprazole were identified by searching PubMed, Web of Science, and China National Knowledge Infrastructure (CNKI). Candidate models were evaluated using goodness-of-fit (R2) prediction error tests (PE, RPE%) to assess their predictive performance, and the model consistent with the characteristics of the blood concentration data was screened. Based on the selected PPK model, Monte Carlo simulation was performed to predict the steady-state plasma concentration of aripiprazole under different dosing regimens for individualized medication.

RESULTS

Three published PPK models of aripiprazole were included in this study. Goodness-of- fit and prediction error analyses showed that Model 3 had the best predictive performance. Based on Monte Carlo simulations with Model 3, plasma concentrations under 10 mg qd, 20 mg qd, and 30 mg qd regimens were ranked as IM > EM >UM in patients with the same body weight. For patients with the same CYP2D6 metabolic phenotype, plasma concentrations decreased with increasing body weight: 30 kg > 50 kg > 70 kg > 90 kg > 110 kg.

CONCLUSION

After validation with real-world data, the screened model with satisfactory predictive performance can be directly used in clinical practice to guide individualized medication and achieve model-informed precision dosing.

model-informed precision dosing  /  aripiprazole  /  schizophrenia  /  population pharmacokinetic model  /  Monte Carlo simulation
曾淑燕, 黄婉婷, 夏慧, 郭徵豪, 黄善情, 尚德为. 模型引导的阿立哌唑精准用药在中国精神分裂症患者的临床实践. 今日药学, 2026 , 36 (4) : 299 -307 . DOI: 10.12048/j.issn.1674-229X.2026.04.009
Shuyan ZENG, Wanting HUANG, Hui XIA, Zhihao GUO, Shanqing HUANG, Dewei SHANG. Model-informed Precision Dosing of Aripiprazole in Chinese Patients With Schizophrenia in Clinical Practice[J]. Pharmacy Today, 2026 , 36 (4) : 299 -307 . DOI: 10.12048/j.issn.1674-229X.2026.04.009
Year 2026 volume 36 Issue 4
111
26
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doi: 10.12048/j.issn.1674-229X.2026.04.009
  • Receive Date:2025-05-27
  • Online Date:2026-09-23
  • Published:2026-04-25
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  • Received:2025-05-27
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Affiliations
    1.The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510000, China
    2.School of Pharmacy, Guangzhou Medical University, Guangzhou, Guangdong 510000, China
    3.Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong 510000, China
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表12种不同金属材料的力学参数
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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
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