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Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial

BACKGROUND: It remains a challenge to predict the long-term response to antipsychotics in patients with schizophrenia who do not respond at an early stage. This study aimed to investigate the optimal predictive cut-off value for early non-response that would better predict later non-response to anti...

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Autores principales: Long, Yujun, Wu, Qiongqiong, Yang, Ye, Cai, Jingda, Xiao, Jingmei, Liu, Zhaoqian, Xu, Yifeng, Chen, Ying, Huang, Manli, Zhang, Ruiguo, Xu, Xijia, Hu, Jian, Liu, Zhifen, Liu, Fang, Zheng, Yingjun, Meng, Huaqing, Wang, Zhimin, Tang, Yanqing, Song, Xueqin, Chen, Yunchun, Wang, Xueyi, Liu, Tiebang, Wu, Xiaoli, Fang, Maosheng, Wan, Chunling, Zhao, Jingping, Wu, Renrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354903/
https://www.ncbi.nlm.nih.gov/pubmed/37468932
http://dx.doi.org/10.1186/s12916-023-02968-7
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author Long, Yujun
Wu, Qiongqiong
Yang, Ye
Cai, Jingda
Xiao, Jingmei
Liu, Zhaoqian
Xu, Yifeng
Chen, Ying
Huang, Manli
Zhang, Ruiguo
Xu, Xijia
Hu, Jian
Liu, Zhifen
Liu, Fang
Zheng, Yingjun
Meng, Huaqing
Wang, Zhimin
Tang, Yanqing
Song, Xueqin
Chen, Yunchun
Wang, Xueyi
Liu, Tiebang
Wu, Xiaoli
Fang, Maosheng
Wan, Chunling
Zhao, Jingping
Wu, Renrong
author_facet Long, Yujun
Wu, Qiongqiong
Yang, Ye
Cai, Jingda
Xiao, Jingmei
Liu, Zhaoqian
Xu, Yifeng
Chen, Ying
Huang, Manli
Zhang, Ruiguo
Xu, Xijia
Hu, Jian
Liu, Zhifen
Liu, Fang
Zheng, Yingjun
Meng, Huaqing
Wang, Zhimin
Tang, Yanqing
Song, Xueqin
Chen, Yunchun
Wang, Xueyi
Liu, Tiebang
Wu, Xiaoli
Fang, Maosheng
Wan, Chunling
Zhao, Jingping
Wu, Renrong
author_sort Long, Yujun
collection PubMed
description BACKGROUND: It remains a challenge to predict the long-term response to antipsychotics in patients with schizophrenia who do not respond at an early stage. This study aimed to investigate the optimal predictive cut-off value for early non-response that would better predict later non-response to antipsychotics in patients with schizophrenia. METHODS: This multicenter, 8-week, open-label, randomized trial was conducted at 19 psychiatric centers throughout China. All enrolled participants were assigned to olanzapine, risperidone, amisulpride, or aripiprazole monotherapy for 8 weeks. The positive and negative syndrome scale (PANSS) was evaluated at baseline, week 2, week 4, and week 8. The main outcome was the prediction of nonresponse. Nonresponse is defined as a < 20% reduction in the total scores of PANSS from baseline to endpoint. Severity ratings of mild, moderate, and severe illness corresponded to baseline PANSS total scores of 58, 75, and 95, respectively. RESULTS: At week 2, a reduction of < 5% in the PANSS total score showed the highest total accuracy in the severe and mild schizophrenia patients (total accuracy, 75.0% and 80.8%, respectively), and patients who were treated with the risperidone and amisulpride groups (total accuracy, 82.4%, and 78.2%, respectively). A 10% decrease exhibited the best overall accuracy in the moderate schizophrenia patients (total accuracy, 84.0%), olanzapine (total accuracy, 79.2%), and aripiprazole group (total accuracy, 77.4%). At week 4, the best predictive cut-off value was < 20%, regardless of the antipsychotic or severity of illness (total accuracy ranging from 89.8 to 92.1%). CONCLUSIONS: Symptom reduction at week 2 has acceptable discrimination in predicting later non-response to antipsychotics in schizophrenia, and a more accurate predictive cut-off value should be determined according to the medication regimen and baseline illness severity. The response to treatment during the next 2 weeks after week 2 could be further assessed to determine whether there is a need to change antipsychotic medication during the first four weeks. TRIAL REGISTRATION: This study was registered on Clinicaltrials.gov (NCT03451734). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02968-7.
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spelling pubmed-103549032023-07-20 Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial Long, Yujun Wu, Qiongqiong Yang, Ye Cai, Jingda Xiao, Jingmei Liu, Zhaoqian Xu, Yifeng Chen, Ying Huang, Manli Zhang, Ruiguo Xu, Xijia Hu, Jian Liu, Zhifen Liu, Fang Zheng, Yingjun Meng, Huaqing Wang, Zhimin Tang, Yanqing Song, Xueqin Chen, Yunchun Wang, Xueyi Liu, Tiebang Wu, Xiaoli Fang, Maosheng Wan, Chunling Zhao, Jingping Wu, Renrong BMC Med Research Article BACKGROUND: It remains a challenge to predict the long-term response to antipsychotics in patients with schizophrenia who do not respond at an early stage. This study aimed to investigate the optimal predictive cut-off value for early non-response that would better predict later non-response to antipsychotics in patients with schizophrenia. METHODS: This multicenter, 8-week, open-label, randomized trial was conducted at 19 psychiatric centers throughout China. All enrolled participants were assigned to olanzapine, risperidone, amisulpride, or aripiprazole monotherapy for 8 weeks. The positive and negative syndrome scale (PANSS) was evaluated at baseline, week 2, week 4, and week 8. The main outcome was the prediction of nonresponse. Nonresponse is defined as a < 20% reduction in the total scores of PANSS from baseline to endpoint. Severity ratings of mild, moderate, and severe illness corresponded to baseline PANSS total scores of 58, 75, and 95, respectively. RESULTS: At week 2, a reduction of < 5% in the PANSS total score showed the highest total accuracy in the severe and mild schizophrenia patients (total accuracy, 75.0% and 80.8%, respectively), and patients who were treated with the risperidone and amisulpride groups (total accuracy, 82.4%, and 78.2%, respectively). A 10% decrease exhibited the best overall accuracy in the moderate schizophrenia patients (total accuracy, 84.0%), olanzapine (total accuracy, 79.2%), and aripiprazole group (total accuracy, 77.4%). At week 4, the best predictive cut-off value was < 20%, regardless of the antipsychotic or severity of illness (total accuracy ranging from 89.8 to 92.1%). CONCLUSIONS: Symptom reduction at week 2 has acceptable discrimination in predicting later non-response to antipsychotics in schizophrenia, and a more accurate predictive cut-off value should be determined according to the medication regimen and baseline illness severity. The response to treatment during the next 2 weeks after week 2 could be further assessed to determine whether there is a need to change antipsychotic medication during the first four weeks. TRIAL REGISTRATION: This study was registered on Clinicaltrials.gov (NCT03451734). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02968-7. BioMed Central 2023-07-19 /pmc/articles/PMC10354903/ /pubmed/37468932 http://dx.doi.org/10.1186/s12916-023-02968-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Long, Yujun
Wu, Qiongqiong
Yang, Ye
Cai, Jingda
Xiao, Jingmei
Liu, Zhaoqian
Xu, Yifeng
Chen, Ying
Huang, Manli
Zhang, Ruiguo
Xu, Xijia
Hu, Jian
Liu, Zhifen
Liu, Fang
Zheng, Yingjun
Meng, Huaqing
Wang, Zhimin
Tang, Yanqing
Song, Xueqin
Chen, Yunchun
Wang, Xueyi
Liu, Tiebang
Wu, Xiaoli
Fang, Maosheng
Wan, Chunling
Zhao, Jingping
Wu, Renrong
Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial
title Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial
title_full Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial
title_fullStr Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial
title_full_unstemmed Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial
title_short Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial
title_sort early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354903/
https://www.ncbi.nlm.nih.gov/pubmed/37468932
http://dx.doi.org/10.1186/s12916-023-02968-7
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