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Du W, Ge MW, Hu FH, Jia YJ, Zhao DY, Cheng YJ, Chen HL. QTc prolongation in patients with schizophrenia taking antipsychotics: Prevalence and risk factors. J Psychopharmacol 2023; 37:971-981. [PMID: 37534722 DOI: 10.1177/02698811231190864] [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] [Indexed: 08/04/2023]
Abstract
BACKGROUND QTc prolongation is one of the possible complications in patients with schizophrenia taking antipsychotics, which leads to malignant cardiac arrhythmia. No meta-analysis has been reported assessing the prevalence and correlated risk factors for QTc prolongation. METHODS This meta-analysis aimed to assess the evidence for the prevalence of QTc prolongation and correlated risk factors in patients with schizophrenia taking antipsychotics. Web of Science and PubMed were searched according to preset strategy. The quality of research was assessed by the Newcastle-Ottawa Scale (NOS). RESULTS In all, 15 studies covering 15,540 patients with schizophrenia taking antipsychotics were included. Meta-analysis showed that the prevalence of QTc prolongation in patients with schizophrenia taking antipsychotics was about 4.0% (95% confidence interval (CI): 3.0%-5.0%, p < 0.001). The prevalence was about 4.0% in Asia (95%CI: 3.0%-6.0%, p < 0.001), about 5.0% in Europe (95%CI: 2.0%-7.0%, p < 0.001), and about 2.0% in America (95%CI: 1.0%-3.0%, p < 0.001). Sensitivity analyses indicated the robustness of the result. Publication bias analysis reported a certain publication bias (t = 3.37, p = 0.012). Meta-regression suggested that female and elderly patients were clinically associated with a higher prevalence of QTc prolongation. According to included studies, smoking, comorbidity of cardiovascular disease, and abnormal levels of high-density lipoprotein/low-density lipoprotein might be related to QTc prolongation in patients with schizophrenia taking antipsychotics. CONCLUSIONS The prevalence of QTc prolongation in patients with schizophrenia taking antipsychotics was about 4.0%. Female and elderly patients were more likely to experience QTc prolongation. Close electrocardiogram monitoring was suggested in these at-risk populations.
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Affiliation(s)
- Wei Du
- School of Medicine, Nantong University, Nantong, Jiangsu, PR China
| | - Meng-Wei Ge
- School of Medicine, Nantong University, Nantong, Jiangsu, PR China
| | - Fei-Hong Hu
- School of Medicine, Nantong University, Nantong, Jiangsu, PR China
| | - Yi-Jie Jia
- School of Medicine, Nantong University, Nantong, Jiangsu, PR China
| | - Dan-Yan Zhao
- School of Medicine, Nantong University, Nantong, Jiangsu, PR China
| | - Yu-Jie Cheng
- School of Medicine, Nantong University, Nantong, Jiangsu, PR China
| | - Hong-Lin Chen
- School of Public Health, Nantong University, Nantong, Jiangsu, PR China
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Oh HS, Lee BJ, Lee YS, Jang OJ, Nakagami Y, Inada T, Kato TA, Kanba S, Chong MY, Lin SK, Si T, Xiang YT, Avasthi A, Grover S, Kallivayalil RA, Pariwatcharakul P, Chee KY, Tanra AJ, Rabbani G, Javed A, Kathiarachchi S, Myint WA, Cuong TV, Wang Y, Sim K, Sartorius N, Tan CH, Shinfuku N, Park YC, Park SC. Machine Learning Algorithm-Based Prediction Model for the Augmented Use of Clozapine with Electroconvulsive Therapy in Patients with Schizophrenia. J Pers Med 2022; 12:969. [PMID: 35743753 PMCID: PMC9224640 DOI: 10.3390/jpm12060969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 06/10/2022] [Accepted: 06/12/2022] [Indexed: 12/17/2022] Open
Abstract
The augmentation of clozapine with electroconvulsive therapy (ECT) has been an optimal treatment option for patients with treatment- or clozapine-resistant schizophrenia. Using data from the Research on Asian Psychotropic Prescription Patterns for Antipsychotics survey, which was the largest international psychiatry research collaboration in Asia, our study aimed to develop a machine learning algorithm-based substantial prediction model for the augmented use of clozapine with ECT in patients with schizophrenia in terms of precision medicine. A random forest model and least absolute shrinkage and selection operator (LASSO) model were used to develop a substantial prediction model for the augmented use of clozapine with ECT. Among the 3744 Asian patients with schizophrenia, those treated with a combination of clozapine and ECT were characterized by significantly greater proportions of females and inpatients, a longer duration of illness, and a greater prevalence of negative symptoms and social or occupational dysfunction than those not treated. In the random forest model, the area under the curve (AUC), which was the most preferred indicator of the prediction model, was 0.774. The overall accuracy was 0.817 (95% confidence interval, 0.793−0.839). Inpatient status was the most important variable in the substantial prediction model, followed by BMI, age, social or occupational dysfunction, persistent symptoms, illness duration > 20 years, and others. Furthermore, the AUC and overall accuracy of the LASSO model were 0.831 and 0.644 (95% CI, 0.615−0.672), respectively. Despite the subtle differences in both AUC and overall accuracy of the random forest model and LASSO model, the important variables were commonly shared by the two models. Using the machine learning algorithm, our findings allow the development of a substantial prediction model for the augmented use of clozapine with ECT in Asian patients with schizophrenia. This substantial prediction model can support further studies to develop a substantial prediction model for the augmented use of clozapine with ECT in patients with schizophrenia in a strict epidemiological context.
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Affiliation(s)
- Hong Seok Oh
- Department of Psychiatry, Konyang University Hospital, Daejeon 35356, Korea;
| | - Bong Ju Lee
- Department of Psychiatry, Inje University Haeundae Paik Hospital, Busan 48108, Korea;
| | - Yu Sang Lee
- Department of Psychiatry, Yong-In Mental Hospital, Yongin 17089, Korea;
| | - Ok-Jin Jang
- Department of Psychiatry, Bugok National Hospital, Changyeong 50365, Korea;
| | - Yukako Nakagami
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto 606-8501, Japan;
| | - Toshiya Inada
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan;
| | - Takahiro A. Kato
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (T.A.K.); (S.K.)
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (T.A.K.); (S.K.)
| | - Mian-Yoon Chong
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung & Chang Gung University School of Medicine, Taoyuan 83301, Taiwan;
| | - Sih-Ku Lin
- Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan;
| | - Tianmei Si
- Peking Institute of Mental Health (PIMH), Peking University, Beijing 100083, China;
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China;
| | - Ajit Avasthi
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India; (A.A.); (S.G.)
| | - Sandeep Grover
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India; (A.A.); (S.G.)
| | | | - Pornjira Pariwatcharakul
- Department of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10400, Thailand;
| | - Kok Yoon Chee
- Tunku Abdul Rahman Institute of Neuroscience, Kuala Lumpur Hospital, Kuala Lumpur 502586, Malaysia;
| | - Andi J. Tanra
- Wahidin Sudirohusodo University, Makassar 90245, Sulawesi Selatan, Indonesia;
| | - Golam Rabbani
- National Institute of Mental Health, Dhaka 1207, Bangladesh;
| | - Afzal Javed
- Pakistan Psychiatric Research Centre, Fountain House, Lahore 39020, Pakistan;
| | - Samudra Kathiarachchi
- Department of Psychiatry, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka;
| | - Win Aung Myint
- Department of Mental Health, University of Medicine (1), Yangon 15032, Myanmar;
| | | | - Yuxi Wang
- West Region, Institute of Mental Health, Singapore 119228, Singapore; (Y.W.); (K.S.)
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore 119228, Singapore; (Y.W.); (K.S.)
- Research Division, Institute of Mental Health, Singapore 119228, Singapore
| | - Norman Sartorius
- Association of the Improvement of Mental Health Programs (AMH), 1209 Geneva, Switzerland;
| | - Chay-Hoon Tan
- Department of Pharmacology, National University Hospital, Singapore 119228, Singapore;
| | - Naotaka Shinfuku
- Department of Social Welfare, School of Human Sciences, Seinan Gakuin University, Fukuoka 814-8511, Japan;
| | - Yong Chon Park
- Department of Psychiatry, Hanyang University College of Medicine, Seoul 04763, Korea;
| | - Seon-Cheol Park
- Department of Psychiatry, Hanyang University College of Medicine, Seoul 04763, Korea;
- Department of Psychiatry, Hanyang University Guri Hospital, Guri 11923, Korea
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Cao H, Zhou Y, Li T, Yao C, Yang W, Kong S, Wang Y, Yu B, Jiao Q, Sun Y, Jia X, Wang Y, Wang Z, Zhang X, Li J. The Prevalence, Risk Factors and Clinical Correlates of QTc Prolongation in Chinese Hospitalized Patients With Chronic Schizophrenia. Front Psychiatry 2021; 12:704045. [PMID: 34483996 PMCID: PMC8416174 DOI: 10.3389/fpsyt.2021.704045] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/22/2021] [Indexed: 12/02/2022] Open
Abstract
Background: The QTc interval may be significantly prolonged in schizophrenia patients taking antipsychotics. Few studies have addressed QTc prolongation (QTP) in Chinese patients. Objectives: This study was designed to evaluate the prevalence of QTP and its clinical correlates in Chinese hospitalized patients with chronic schizophrenia. Methods: A total of 436 inpatients and 291 normal controls matched with age and sex were included. QTc prolongation was defined as 2 standard deviations (SD) above the mean value of normal controls. Positive and Negative Syndrome Scale (PANSS) and its five-factor model were used to evaluate psychopathological symptoms. Results: QTc interval was significantly longer in patients than in normal controls. The prevalence of QTP is 8.26% in Chinese hospitalized patients with chronic schizophrenia. More women than men displayed QTP. Compared with patients without QTP, the patients with QTP had significantly higher concrete/disorganized subscore, lower low density lipoprotein (LDL) and lower total protein (TP). Furthermore, binary logistic regression analysis showed that higher number of hospitalizations, higher concrete/disorganized subscore and lower LDL were risk factors for QTP. Correlation analysis indicated significant association between QTc interval and the following variables: sex, age, duration of illness, the number of hospitalizations, PANSS total score, fasting blood glucose (FPG). Finally, a multiple regression analysis showed that older age, antipsychotic polypharmacy, higher PANSS total score, and lower LDL were risk factors for QTP. Among them, LDL seemed to be a protective factor for QTP. Conclusions: QTc interval was longer in schizophrenia patients than in normal controls. The prevalence of QTP is 8.26% in Chinese hospitalized patients with chronic schizophrenia. Some clinical characteristics were risk factors for QTP. And LDL seemed to be a protective factor for QTP.
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Affiliation(s)
- Haiyan Cao
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Yongjie Zhou
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, China
| | - Tao Li
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Cong Yao
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Weiliang Yang
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Siying Kong
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Yanyan Wang
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Baoping Yu
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Qingyan Jiao
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Yun Sun
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Xiaoju Jia
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Yuting Wang
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
| | - Zhonggang Wang
- Department of Psychiatry, Jining Psychiatric Hospital, Jining, China
| | - Xiangyang Zhang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jie Li
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China
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