External Validation of the Population Pharmacokinetic Models of Amisulpride and Remedial Strategies for Delayed or Missed Doses
Desheng Yan,1 Gehang Ju,2 Xin Liu,2 Qing Shao,1 Yan Zhang,3 Na Wang,1 Keyu Yan1 1Department of Pharmacy, Xi’an Mental Health Center, Xi’an, Shaanxi, 710100, People’s Republic of China; 2Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, 410000, People’s...
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Dove Medical Press
2024-12-01
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| author | Yan D Ju G Liu X Shao Q Zhang Y Wang N Yan K |
| author_facet | Yan D Ju G Liu X Shao Q Zhang Y Wang N Yan K |
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| description | Desheng Yan,1 Gehang Ju,2 Xin Liu,2 Qing Shao,1 Yan Zhang,3 Na Wang,1 Keyu Yan1 1Department of Pharmacy, Xi’an Mental Health Center, Xi’an, Shaanxi, 710100, People’s Republic of China; 2Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, 410000, People’s Republic of China; 3Xi’an Key Laboratory of Pharmacy (Mental Health), Xi’an Mental Health Center, Xi’an, Shaanxi, 710100, People’s Republic of ChinaCorrespondence: Keyu Yan, Xi’an Mental Health Center, Xi’an, Shaanxi, 710100, People’s Republic of China, Tel/Fax +86-18198010730, Email 614591931@qq.comObjective: This study aimed to evaluate the predictive performance of published amisulpride population pharmacokinetic (PopPK) models in schizophrenia patients with an external data set and establish remedial dosing regimens for nonadherent amisulpride-treated patients.Methods: A systematic search was conducted on PubMed, Embase, and Web of Science to identify PopPK models for evaluation. The evaluation process involved analyzing 390 serum concentration samples obtained from 361 Chinese adult inpatients diagnosed with schizophrenia. Model predictability was evaluated by prediction-based and simulation-based diagnostics. Based on validation results, a modified PopPK model was constructed to characterize amisulpride pharmacokinetic in our patients. Monte Carlo simulation was employed to investigate non-adherence scenarios and the impact of subsequently administered remedial regimens.Results: In the five assessed published models, four included trough concentrations from schizophrenia patients, and one combined single-dose data from healthy older adults and trough concentrations from older adults with Alzheimer’s disease. The PE for population and individual predictions ranged from − 92.89% to 27.02% and − 24.82% to 4.04%, respectively. In the simulation-based diagnostics, the NPDE results indicated noticeable bias in all models. Therefore, a modified one-compartment model, with estimated creatinine clearance(eCLcr) as covariates on the apparent clearance (CL/F) of amisulpride, was developed. For delays in medication dosing, if the delay is within 12 hours, take half the missed dose right away, then resume the normal schedule; if the delay is up to 24 hours, just continue with the regular dosing schedule.Conclusion: Existing published models lack the necessary reliability for cross-center application. Future prospective studies are required to assess our model before integrating it into clinical practice. Model-based simulations provided a rational approach to propose remedial strategies for delayed or missed doses.Keywords: population pharmacokinetics, amisulpride, schizophrenia, external validation, adherence |
| format | Article |
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| institution | Kabale University |
| issn | 1177-8881 |
| language | English |
| publishDate | 2024-12-01 |
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| spelling | doaj-art-e5f483c01d964f42846cfc7388f63c722024-12-29T17:13:14ZengDove Medical PressDrug Design, Development and Therapy1177-88812024-12-01Volume 186345635898779External Validation of the Population Pharmacokinetic Models of Amisulpride and Remedial Strategies for Delayed or Missed DosesYan DJu GLiu XShao QZhang YWang NYan KDesheng Yan,1 Gehang Ju,2 Xin Liu,2 Qing Shao,1 Yan Zhang,3 Na Wang,1 Keyu Yan1 1Department of Pharmacy, Xi’an Mental Health Center, Xi’an, Shaanxi, 710100, People’s Republic of China; 2Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, 410000, People’s Republic of China; 3Xi’an Key Laboratory of Pharmacy (Mental Health), Xi’an Mental Health Center, Xi’an, Shaanxi, 710100, People’s Republic of ChinaCorrespondence: Keyu Yan, Xi’an Mental Health Center, Xi’an, Shaanxi, 710100, People’s Republic of China, Tel/Fax +86-18198010730, Email 614591931@qq.comObjective: This study aimed to evaluate the predictive performance of published amisulpride population pharmacokinetic (PopPK) models in schizophrenia patients with an external data set and establish remedial dosing regimens for nonadherent amisulpride-treated patients.Methods: A systematic search was conducted on PubMed, Embase, and Web of Science to identify PopPK models for evaluation. The evaluation process involved analyzing 390 serum concentration samples obtained from 361 Chinese adult inpatients diagnosed with schizophrenia. Model predictability was evaluated by prediction-based and simulation-based diagnostics. Based on validation results, a modified PopPK model was constructed to characterize amisulpride pharmacokinetic in our patients. Monte Carlo simulation was employed to investigate non-adherence scenarios and the impact of subsequently administered remedial regimens.Results: In the five assessed published models, four included trough concentrations from schizophrenia patients, and one combined single-dose data from healthy older adults and trough concentrations from older adults with Alzheimer’s disease. The PE for population and individual predictions ranged from − 92.89% to 27.02% and − 24.82% to 4.04%, respectively. In the simulation-based diagnostics, the NPDE results indicated noticeable bias in all models. Therefore, a modified one-compartment model, with estimated creatinine clearance(eCLcr) as covariates on the apparent clearance (CL/F) of amisulpride, was developed. For delays in medication dosing, if the delay is within 12 hours, take half the missed dose right away, then resume the normal schedule; if the delay is up to 24 hours, just continue with the regular dosing schedule.Conclusion: Existing published models lack the necessary reliability for cross-center application. Future prospective studies are required to assess our model before integrating it into clinical practice. Model-based simulations provided a rational approach to propose remedial strategies for delayed or missed doses.Keywords: population pharmacokinetics, amisulpride, schizophrenia, external validation, adherencehttps://www.dovepress.com/external-validation-of-the-population-pharmacokinetic-models-of-amisul-peer-reviewed-fulltext-article-DDDTpopulation pharmacokineticsamisulprideschizophreniaexternal validationadherence |
| spellingShingle | Yan D Ju G Liu X Shao Q Zhang Y Wang N Yan K External Validation of the Population Pharmacokinetic Models of Amisulpride and Remedial Strategies for Delayed or Missed Doses Drug Design, Development and Therapy population pharmacokinetics amisulpride schizophrenia external validation adherence |
| title | External Validation of the Population Pharmacokinetic Models of Amisulpride and Remedial Strategies for Delayed or Missed Doses |
| title_full | External Validation of the Population Pharmacokinetic Models of Amisulpride and Remedial Strategies for Delayed or Missed Doses |
| title_fullStr | External Validation of the Population Pharmacokinetic Models of Amisulpride and Remedial Strategies for Delayed or Missed Doses |
| title_full_unstemmed | External Validation of the Population Pharmacokinetic Models of Amisulpride and Remedial Strategies for Delayed or Missed Doses |
| title_short | External Validation of the Population Pharmacokinetic Models of Amisulpride and Remedial Strategies for Delayed or Missed Doses |
| title_sort | external validation of the population pharmacokinetic models of amisulpride and remedial strategies for delayed or missed doses |
| topic | population pharmacokinetics amisulpride schizophrenia external validation adherence |
| url | https://www.dovepress.com/external-validation-of-the-population-pharmacokinetic-models-of-amisul-peer-reviewed-fulltext-article-DDDT |
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