Population Pharmacodynamic Models of Risperidone on PANSS Total Scores and Prolactin Levels in Schizophrenia
-
Published:2024-01-23
Issue:2
Volume:17
Page:148
-
ISSN:1424-8247
-
Container-title:Pharmaceuticals
-
language:en
-
Short-container-title:Pharmaceuticals
Author:
Huang Zhiwei1ORCID, Zhang Lei1, Li Yan1, Yu Yimin1, Shen Yifeng1, Sun Xiujia1, Lou Kun2, Luo Hongmei2, Meng Zhibin2, Li Huafang134, Wei Yumei1
Affiliation:
1. Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China 2. CSPC Zhongqi Pharmaceutical Technology (Shijiazhuang) Co., Ltd., Shijiazhuang 050000, China 3. Shanghai Clinical Research Center for Mental Health, Shanghai 200030, China 4. Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
Abstract
Currently, research predominantly focuses on evaluating clinical effects at specific time points while neglecting underlying patterns within the treatment process. This study aims to analyze the dynamic alterations in PANSS total scores and prolactin levels in patients with schizophrenia treated with risperidone, along with the influencing covariates. Using data from an 8-week randomized, double-blind, multicenter clinical trial, a population pharmacodynamic model was established for the PANSS total scores of and prolactin levels in patients treated with risperidone. The base model employed was the Emax model. Covariate selection was conducted using a stepwise forward inclusion and backward elimination approach. A total of 144 patients were included in this analysis, with 807 PANSS total scores and 531 prolactin concentration values. The PANSS total scores of the patients treated with risperidone decreased over time, fitting a proportionally parameterized sigmoid Emax model with covariates including baseline score, course of the disease, gender, plasma calcium ions, and lactate dehydrogenase levels. The increase in prolactin levels conformed to the ordinary Emax model, with covariates encompassing course of the disease, gender, weight, red blood cell count, and triglyceride levels. The impacts of the baseline scores and the course of the disease on the reduction of the PANSS scores, as well as the influence of gender on the elevation of prolactin levels, each exceeded 20%. This study provides valuable quantitative data regarding PANSS total scores and prolactin levels among patients undergoing risperidone treatment across various physiological conditions.
Funder
Clinical Research Plan of SHDC Shanghai Clinical Research Center for Mental Health Shanghai Science Technology Development Funds Shanghai Jiao Tong University Medical–Industrial Interdisciplinary Fund CSPC Zhongqi Pharmaceutical Technology (Shijiazhuang) Co., Ltd.
Reference35 articles.
1. Grubor, M., Zivkovic, M., Sagud, M., Nikolac, P.M., Mihaljevic-Peles, A., Pivac, N., Muck-Seler, D., and Svob, S.D. (2020). HTR1A, HTR1B, HTR2A, HTR2C and HTR6 Gene Polymorphisms and Extrapyramidal Side Effects in Haloperidol-Treated Patients with Schizophrenia. Int. J. Mol. Sci., 21. 2. Negative symptoms in schizophrenia: Newly emerging measurements, pathways, and treatments;Marder;Schizophr. Res.,2023 3. Classical subtypes for schizophrenia: Literature review for DSM-IV;McGlashan;Schizophr. Bull.,1991 4. Effect of H2H management mode on blood sugar control and living ability in patients with schizophrenia and type 2 diabetes mellitus;Yang;Am. J. Transl. Res.,2023 5. Garcinuno, S., Aranaz, I., Civera, C., Arias, C., and Acosta, N. (2022). Evaluating Non-Conventional Chitosan Sources for Controlled Release of Risperidone. Polymers, 14.
|
|