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Long Y, Wu Q, Yang Y, Cai J, Xiao J, Liu Z, Xu Y, Chen Y, Huang M, Zhang R, Xu X, Hu J, Liu Z, Liu F, Zheng Y, Meng H, Wang Z, Tang Y, Song X, Chen Y, Wang X, Liu T, Wu X, Fang M, Wan C, Zhao J, Wu R. Early non-response as a predictor of later non-response to antipsychotics in schizophrenia: a randomized trial. BMC Med 2023; 21:263. [PMID: 37468932 DOI: 10.1186/s12916-023-02968-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 06/30/2023] [Indexed: 07/21/2023] Open
Abstract
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).
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Affiliation(s)
- Yujun Long
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 139# Renmin Middle RD, Changsha, 410011, Hunan, China
| | - Qiongqiong Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 139# Renmin Middle RD, Changsha, 410011, Hunan, China
| | - Ye Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 139# Renmin Middle RD, Changsha, 410011, Hunan, China
| | - Jingda Cai
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 139# Renmin Middle RD, Changsha, 410011, Hunan, China
| | - Jingmei Xiao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 139# Renmin Middle RD, Changsha, 410011, Hunan, China
| | - Zhaoqian Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yifeng Xu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Manli Huang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ruiguo Zhang
- Department of Psychiatry, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China
| | - Xijia Xu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, Jiangsu, China
| | - Jian Hu
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Zhifen Liu
- Department of Psychiatry, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Fang Liu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yingjun Zheng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Huaqing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhimin Wang
- The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yanqing Tang
- Department of Psychiatry, the First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yunchun Chen
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xueyi Wang
- Department of Psychiatry, First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Tiebang Liu
- Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
| | - Xiaoli Wu
- Department of Psychiatry, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | | | - Chunling Wan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 139# Renmin Middle RD, Changsha, 410011, Hunan, China
| | - Renrong Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 139# Renmin Middle RD, Changsha, 410011, Hunan, China.
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Singh A, Beniwal RP, Kukshal P, Bhatia T, Thelma BK, Deshpande SN. A preliminary study of association of genetic variants with early response to olanzapine in schizophrenia. Indian J Psychiatry 2018; 60:10-16. [PMID: 29736057 PMCID: PMC5914236 DOI: 10.4103/psychiatry.indianjpsychiatry_104_18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Treatment response can be predicted in schizophrenia by DNA information in the drug metabolism pathways. This study aimed to examine clinical characteristics and genetic determinant (s) of early response to olanzapine treatment in schizophrenia using specified drug metabolizing genes. MATERIALS AND METHODS Consenting participants (n = 33) suffering from schizophrenia were diagnosed on Diagnostic Interview for Genetic Studies. Oral olanzapine was administered in an incremental dose up to 10 mg (2 weeks) and 20 mg (6 weeks). All participants were tested on Positive and Negative Syndrome Scale, Clinical Global Impressions, and Global Assessment of Functioning at 0, 2, and 6 weeks. Side effects were also evaluated. After 2 weeks, 11 (33.33%) fulfilled criteria for early response, whereas 17 (51.52%) responded at 6 weeks. We investigated the contribution of clinical factors and five polymorphisms (rs2740574, rs2470890, rs762551, rs3892097, and rs1065852) in predicting response to olanzapine at 2 and 6 weeks of treatment with a standard dose. RESULTS Severity of positive symptoms at baseline was associated with response at 2 weeks (P = 0.01) while higher scores on Scale for the Assessment of Negative Symptoms (SANS) at baseline was associated with response at both 2 (P = 0.04) and 6 weeks (P = 0.03). None of the five single nucleotide polymorphisms (SNPs) selected were significantly associated with response to olanzapine. CONCLUSIONS Olanzapine is an effective and safe drug. Positive and Negative Syndrome Scale positive score and SANS score were variably associated with response at 2 and/or 6 weeks. Replicate studies with bigger sample size are warranted for conclusive results in the Indian population for genetic association.
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Affiliation(s)
- Anmol Singh
- Department of Psychiatry and Drug De-Addiction, Centre of Excellence in Mental Health, PGIMER-Dr RML Hospital, New Delhi, India
| | - Ram Pratap Beniwal
- Department of Psychiatry and Drug De-Addiction, Centre of Excellence in Mental Health, PGIMER-Dr RML Hospital, New Delhi, India
| | - Prachi Kukshal
- Department of Genetics, University of Delhi, New Delhi, India
| | - Triptish Bhatia
- Department of Psychiatry and Drug De-Addiction, Centre of Excellence in Mental Health, PGIMER-Dr RML Hospital, New Delhi, India
| | - B K Thelma
- Department of Genetics, University of Delhi, New Delhi, India
| | - Smita N Deshpande
- Department of Psychiatry and Drug De-Addiction, Centre of Excellence in Mental Health, PGIMER-Dr RML Hospital, New Delhi, India
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