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Ricci V, Sarni A, Martinotti G, Maina G. Comparative analysis of third-generation antipsychotics in first-episode schizophrenia: efficacy, safety, and cognitive impacts. A narrative review. Int Clin Psychopharmacol 2024:00004850-990000000-00141. [PMID: 38941160 DOI: 10.1097/yic.0000000000000559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/30/2024]
Abstract
BACKGROUND AND OBJECTIVES Schizophrenia is a chronic, complex mental health disorder requiring effective management to mitigate its broad personal and societal impacts. This narrative review assesses the efficacy, effectiveness, and side effects of third-generation antipsychotics (TGAs) like aripiprazole, brexpiprazole, and cariprazine, focusing on their use in first-episode schizophrenia. These drugs aim to reduce side effects typical of earlier antipsychotics while more effectively addressing positive and cognitive symptoms. METHODS Our extensive literature review, using PubMed and Scopus, includes randomized controlled trials and observational studies, showing TGAs may match older antipsychotics in efficacy with fewer side effects, notably in reducing extrapyramidal symptoms and enhancing cognitive outcomes. RESULTS Aripiprazole appears effective in both acute and maintenance phases of schizophrenia, while brexpiprazole and cariprazine show potential in managing negative symptoms and improving social functioning, essential for patient recovery. CONCLUSIONS This review emphasizes the need for personalized treatment and further research to fully determine the long-term benefits and safety of TGAs. These findings can inform clinical decisions and underline the ongoing need for innovation in schizophrenia pharmacotherapy.
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Affiliation(s)
- Valerio Ricci
- Department of Psychiatry, San Luigi Gonzaga Hospital, University of Turin, Orbassano
| | - Alessandro Sarni
- Department of Psychiatry, San Luigi Gonzaga Hospital, University of Turin, Orbassano
| | - Giovanni Martinotti
- Department of Neurosciences, Imaging and Clinical Sciences, Università degli Studi G. D'Annunzio Chieti-Pescara, Chieti and
| | - Giuseppe Maina
- Department of Psychiatry, San Luigi Gonzaga Hospital, University of Turin, Orbassano
- Department of Neurosciences 'Rita Levi Montalcini', University of Turin, Torino, Italy
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Correll CU, Arango C, Fagerlund B, Galderisi S, Kas MJ, Leucht S. Identification and treatment of individuals with childhood-onset and early-onset schizophrenia. Eur Neuropsychopharmacol 2024; 82:57-71. [PMID: 38492329 DOI: 10.1016/j.euroneuro.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/31/2024] [Accepted: 02/07/2024] [Indexed: 03/18/2024]
Abstract
Approximately 8 % of patients with schizophrenia are diagnosed before age 18, and 18 % experience their first symptoms before age 18. This narrative review explores the management of patients with early-onset schizophrenia (EOS) and childhood-onset schizophrenia (COS) from diagnosis to their transition to adult care settings. Early diagnosis of schizophrenia in children and adolescents is essential for improving outcomes, but delays are common due to overlapping of symptoms with developmental phenomena and other psychiatric conditions, including substance use, and lack of clinicians' awareness. Once diagnosed, antipsychotic treatment is key, with specific second-generation agents generally being preferred due to better tolerability and their broader efficacy evidence-base in youth. Dosing should be carefully individualized, considering age-related differences in drug metabolism and side effect liability. Clinicians must be vigilant in detecting early non-response and consider switching or dose escalation when appropriate. Since early age of illness onset is a consistent risk factor for treatment-resistant schizophrenia (TRS), clinicians need to be competent in diagnosing TRS and using clozapine. Since COS and EOS are associated with cognitive deficits and impaired functioning, psychosocial interventions should be considered to improve overall functioning and quality of life. Good long-term outcomes depend on continuous treatment engagement, and successful transitioning from pediatric to adult care requires careful planning, early preparation, and collaboration between pediatric and adult clinicians. Targeting functional outcomes and quality of life in addition to symptom remission can improve overall patient well-being. Comprehensive evaluations, age-specific assessments, and targeted interventions are needed to address the unique challenges of EOS and COS.
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Affiliation(s)
- Christoph U Correll
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Department of Psychiatry, Zucker Hillside Hospital, Northwell Health System, Glen Oaks, NY, USA.
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Birgitte Fagerlund
- Child and Adolescent Mental Health Center, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark; Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Silvana Galderisi
- Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Martien J Kas
- Groningen Institute for Evolutionary Life Sciences (GELIFES), Neurobiology, University of Groningen, the Netherlands
| | - Stefan Leucht
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Germany; Department of Psychiatry, Department of Psychosis Studies, and Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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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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Gupta N, Gupta M, Esang M. Lost in Translation: Challenges in the Diagnosis and Treatment of Early-Onset Schizophrenia. Cureus 2023; 15:e39488. [PMID: 37362509 PMCID: PMC10290525 DOI: 10.7759/cureus.39488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
Early-onset schizophrenia (EOS) is a heterogeneous condition that has a serious, insidious clinical course and poor long-term mental health outcomes. The clinical presentations are highly complex due to the overlapping symptomatology with other illnesses, which contributes to a delay in the diagnosis. The objective of the review is to study if an earlier age of onset (AAO) of EOS has poor clinical outcomes, the diagnostic challenges of EOS, and effective treatment strategies. The review provides a comprehensive literature search of 5966 articles and summarizes 126 selected for empirical evidence to methodically consider challenges in diagnosing and treating EOS for practicing clinicians. The risk factors of EOS are unique but have been shared with many other neuropsychiatric illnesses. Most of the risk factors, including genetics and obstetric complications, are nonmodifiable. The role of early diagnosis in reducing the duration of untreated psychosis (DUP) remains critical to reducing overall morbidity. Many specific issues contribute to the risk and clinical outcomes. Therefore, issues around diagnostic ambiguity, treatment resistance, nonadherence, and rehospitalizations further extend the DUP. There is hesitancy to initiate clozapine early, even though the empirical evidence strongly supports its use. There is a growing body of research that suggests the use of long-acting injectables to address nonadherence, and these measures are largely underutilized in acute settings. The clinical presentations of EOS are complex. In addition to the presence of specific risk factors, patients with an early onset of illness are also at a higher risk for treatment resistance. While there is a need to develop tools for early diagnosis, established evidence-based measures to address nonadherence, psychoeducation, and resistance must be incorporated into the treatment planning.
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Affiliation(s)
- Nihit Gupta
- Psychiatry, Dayton Children's Hospital, Dayton, USA
| | - Mayank Gupta
- Psychiatry and Behavioral Sciences, Southwood Psychiatric Hospital, Pittsburgh, USA
| | - Michael Esang
- Psychiatry and Behavioral Sciences, Clarion Psychiatric Center, Clarion, USA
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