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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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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. |
format | Online Article Text |
id | pubmed-10354903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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