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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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Khan MM, Parikh V. Prospects for Neurotrophic Factor-Based Early Intervention in Schizophrenia: Lessons Learned from the Effects of Antipsychotic Drugs on Cognition, Neurogenesis, and Neurotrophic Factors. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:289-303. [PMID: 35366786 DOI: 10.2174/1871527321666220401124151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/13/2022] [Accepted: 02/18/2022] [Indexed: 12/16/2022]
Abstract
Although reducing psychotic symptoms in schizophrenia has been a major focus of therapeutic interventions for decades, improving cognition is considered a better predictor of functional outcomes. However, the most commonly prescribed antipsychotic drugs (APDs) show only marginal beneficial effects on cognition in patients with schizophrenia. The neural mechanisms underlying cognitive disturbances in schizophrenia remain unknown that making drug development efforts very challenging. Since neurotrophic factors are the primary architects of neurogenesis, synaptic plasticity, learning, and memory, the findings from preclinical and clinical studies that assess changes in neurogenesis and neurotrophic factors and their relationship to cognitive performance in schizophrenia, and how these mechanisms might be impacted by APD treatment, may provide valuable clues in developing therapies to combat cognitive deficit in schizophrenia. Numerous evidence produced over the years suggests a deficit in a wide spectrum of neurotrophic factors in schizophrenia. Since schizophrenia is considered a neurodevelopmental disorder, early intervention with neurotrophic factors may be more effective in ameliorating the cognitive deficits and psychopathological symptoms associated with this pathology. In this context, results from initial clinical trials with neurotrophic factors and their future potential to improve cognition and psychosocial functioning in schizophrenia are discussed.
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Affiliation(s)
- Mohammad M Khan
- Laboratory of Translational Neurology and Molecular Psychiatry, Department of Biotechnology, Era\'s Lucknow Medical College and Hospital, and Faculty of Science, Era University, Lucknow, UP, India
| | - Vinay Parikh
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA, USA
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Vedam VAV, Ghanta MK, Kantipudi SJ, David DC, Vijayalakshmi M, Nuthalapati P. Homocysteine Levels and Clinical Outcomes in Schizophrenia—A Pilot Randomized Controlled Trial. J Pharmacol Pharmacother 2022. [DOI: 10.1177/0976500x221128649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Background: There is an increasing need for proactive and individualized responses to various diseases in today’s progressive health-care fraternity. Accordingly, the approach to schizophrenia patients encompasses novel developments in the area of personalized medicine. Antipsychotic drugs in clinical practice necessitate biomarkers for the prediction of treatment outcomes and monitoring to ensure an appropriate choice of duration of chronic therapies. Hence, we studied the relation between homocysteine levels in peripheral blood and the effectiveness as well as the safety of haloperidol and olanzapine in schizophrenia treatment. Materials and Methods: A prospective randomized parallel-group open-label interventional clinical trial was conducted on 40 mild to moderate schizophrenia patients. To compare the efficacy of olanzapine and haloperidol Brief Psychiatric Rating Scale (BPRS) score was used. Homocysteine levels of peripheral blood and Abnormal Involuntary Movement Scale scores were evaluated. Results: BPRS score improved in both groups on day 14 and day 28. But significantly more with olanzapine ( P value =.001). The olanzapine group showed a higher reduction (13.91±0.47 to 9.74±0.5) in homocysteine levels than the haloperidol group. Also, the BPRS scores negatively correlated ( r = –0.66) to homocysteine levels. Conclusion: Therefore, our study shows that peripheral blood homocysteine levels can be used to predict and assess the treatment outcome in schizophrenia patients. Biomarker driven approach in schizophrenia will allow the patients to be treated promptly with the right drug. In this light, personalized treatment holds great potential in the future.
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Affiliation(s)
| | - Mohan Krishna Ghanta
- Department of Pharmacology, MVJ Medical College and Research Hospital, Hoskote, Bangalore, Karnataka, India
| | - Suvarna Jyothi Kantipudi
- Department of Psychiatry, Sri Ramachandra Medical College and Research Institute, SRIHER-DU, Chennai, Tamil Nadu, India
| | - Darling Chellathai David
- Department of Pharmacology, Sri Ramachandra Medical College and Research Institute, SRIHER-DU, Porur, Chennai, Tamil Nadu, India
| | - Melanathuru Vijayalakshmi
- Department of Biotechnology, Dr M.G.R Educational, and Research Institute Maduravoyal Chennai, Tamil Nadu, India
| | - Poojith Nuthalapati
- Sri Ramachandra Medical College and Research Institute, SRIHER-DU, Porur, Chennai, Tamil Nadu, India
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Rasmussen SA, Rosebush PI, Mazurek MF. Does early antipsychotic response predict long-term treatment outcome? Hum Psychopharmacol 2017; 32. [PMID: 28952166 DOI: 10.1002/hup.2633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 08/10/2017] [Accepted: 08/17/2017] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Early antipsychotic response within the first 2-3 weeks of treatment can predict short-term outcomes after several months. We conducted the current study to determine whether the predictive value of early antipsychotic response persists throughout long-term treatment over multiple years. METHODS In this observational study, we conducted follow-up assessments of 64 patients with first-episode psychosis an average of 25 months after they began antipsychotic treatment. Patients were initially randomized to receive haloperidol or olanzapine, but treatment after the acute hospitalization period was not controlled. Regression analyses were used to determine whether early improvement on the Brief Psychiatric Rating Scale at 2 or 3 weeks predicted longer term improvement at follow-up. We conducted secondary analyses to determine whether early response could predict extrapyramidal side effects at follow-up. RESULTS Early response to haloperidol at 2 weeks predicted Brief Psychiatric Rating Scale improvement on longer term follow-up (p = .002). Longer term improvement was not predicted by early response to olanzapine at 2 weeks (p = .726) or 3 weeks (p = .541). Rates of extrapyramidal side effects did not differ between treatment groups and were not predicted by early response. CONCLUSION These results demonstrate the long-term prognostic value of early haloperidol response. The predictive value of early olanzapine response may be less robust.
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Affiliation(s)
| | - Patricia I Rosebush
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Michael F Mazurek
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.,Department of Medicine (Neurology), McMaster University, Health Sciences Centre, Hamilton, Ontario, Canada
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Howells FM, Kingdon DG, Baldwin DS. Current and potential pharmacological and psychosocial interventions for anxiety symptoms and disorders in patients with schizophrenia: structured review. Hum Psychopharmacol 2017; 32. [PMID: 28812313 DOI: 10.1002/hup.2628] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 06/30/2017] [Accepted: 07/11/2017] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Between 30% and 62% of patients with schizophrenia present with co-morbid anxiety disorders that are associated with increased overall burden. Our aim was to summarize current and potential interventions for anxiety in schizophrenia. DESIGN Structured review, summarizing pharmacological and psychosocial interventions used to reduce anxiety in schizophrenia and psychosis. RESULTS Antipsychotics have been shown to reduce anxiety, increase anxiety, or have no effect. These may be augmented with another antipsychotic, anxiolytic, or antidepressant. Novel agents, such as L-theanine, pregabalin, and cycloserine, show promise in attenuating anxiety in schizophrenia. Psychosocial therapies have been developed to reduce the distress of schizophrenia. Cognitive behavioural therapy (CBT) has shown that benefit and refinements in the therapy have been successful, for example, for managing worry in schizophrenia. CBT usually involves more than 16 sessions, as short courses of CBT do not attenuate the presentation of anxiety in schizophrenia. To address time and cost, the development of manualized CBT to address anxiety in schizophrenia is being developed. CONCLUSIONS The presence of coexisting anxiety symptoms and co-morbid anxiety disorders should be ascertained when assessing patients with schizophrenia or other psychoses as a range of pharmacological and psychosocial treatments are available.
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Affiliation(s)
- Fleur M Howells
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - David G Kingdon
- Department of Psychiatry Faculty of Medicine, University of Southampton, Southampton, UK
| | - David S Baldwin
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa.,Department of Psychiatry Faculty of Medicine, University of Southampton, Southampton, UK
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