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Qin Y, Liu Y, Zhao J, Yang Y, Xiang H, Gao T, Huang C. Pharmacogenetic intervention improves treatment outcomes in Chinese adult men with schizophrenia. J Psychiatr Res 2024; 174:129-136. [PMID: 38631138 DOI: 10.1016/j.jpsychires.2024.04.020] [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: 10/27/2023] [Revised: 04/02/2024] [Accepted: 04/09/2024] [Indexed: 04/19/2024]
Abstract
To investigate the clinical application value of pharmacogenetic testing in individualized drug therapy for adult male patients with schizophrenia. A total of 186 adult patients with schizophrenia were enrolled and randomised into the pharmacogenetic (PGx) intervention group and the standard care group. In the PGx intervention group, PGx testing was performed, and the medication regimen was adjusted according to the results of the pharmacogenomic analysis. In contrast, in the standard care group, patients were treated according to the physician's medication experience. Differences in the primary indicator of schizophrenia, the Positive and Negative Symptom Scale (PANSS), and the secondary efficacy measures, the Clinical Global Impressions-Severity of Illness scale (CGI-SI) and Clinical Global Impressions-Global Improvement (CGI-GI) scale, were compared between the intervention and standard care groups. At baseline, the PGx intervention group consisted of 109 individuals, while the standard care group had 77 participants. After 12 weeks of treatment, 49 individuals withdrew from the PGx group (a dropout rate of 45.0%), and 34 withdrew from the standard care group (a dropout rate of 44.2%), with no significant difference in dropout rates between the two groups. The PANSS score reduction rate in the PGx intervention group significantly exceeded that of the standard care group during weeks 3, 6, and 12 of follow-up (P < 0.05). At the 12th week, the PGx intervention group achieved a treatment response rate of 81.7%, significantly surpassing the 48.8% of the standard care group (odds ratio of 4.67, 95% confidence interval of 1.96-11.41; P = 0.001). Furthermore, the PGx intervention was significantly more effective than standard care regardless of whether the patient had a first episode or a relapse (P < 0.05). Furthermore, the Global Assessment of Functioning (GAF) scores and the Personal and Social Performance Scale (PSP) score changes in the PGx intervention group were both significantly different from those in the standard care group (P < 0.05). It is noteworthy that the PGx intervention similarly improves the prognostic outcomes for patients with and without a family history of mental disorders. In conclusion, the application of a PGx intervention treatment model based on PGx testing can significantly improve medication efficacy and shorten the time to achieve the effects of medication in schizophrenia.
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Affiliation(s)
- Ying Qin
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China.
| | - Yanjing Liu
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Jingwen Zhao
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Yong Yang
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Hui Xiang
- Department of Psychology, Guizhou Provincial People's Hospital, Guiyang, China
| | - Tianwei Gao
- Shanghai Conlight Medical Laboratory Co., Ltd, Shanghai, China
| | - Chengchen Huang
- Shanghai Conlight Medical Laboratory Co., Ltd, Shanghai, China.
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Al Dameery K, Valsaraj BP, Qutishat M, Obeidat A, Alkhawaldeh A, Al Sabei S, Al Omari O, ALBashtawy M, Al Qadire M. Enhancing Medication Adherence Among Patients With Schizophrenia and Schizoaffective Disorder: Mobile App Intervention Study. SAGE Open Nurs 2023; 9:23779608231197269. [PMID: 37655277 PMCID: PMC10467252 DOI: 10.1177/23779608231197269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/16/2023] [Accepted: 08/05/2023] [Indexed: 09/02/2023] Open
Abstract
Introduction Technology has permeated every aspect of our existence and the mental health sector is not exempt from this. Objectives The aim of this study was to test the impact of using a mobile phone app (MyTherapy pill reminder and medication tracker) on medication adherence in patients with schizophrenia and/or schizoaffective disorder. Methods Time series design was used. Fifty-one participants were recruited from tertiary hospitals in Oman. The Medication Adherence Rating Scale was used for assessing medication adherence. The data related to medication adherence were collected at baseline, 3 months later and 3 months after installing the program on participants' smartphones. SPSS data set used to analyze the data. Results A repeated-measures ANOVA found no significant change in the level of adherence among patients with schizophrenia and schizoaffective disorders at the start and 12 weeks later when the mobile app was installed (p = .371). However, adherence scores improved significantly 12 weeks after installation of mobile app compared with the same group at the baseline and 12 weeks before the installation of mobile app (p < .001). Conclusion The mobile phone app was effective in improving the adherence level among patients. Installation of the program and teaching patients how to use it to improve their level of adherence is recommended.
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Affiliation(s)
| | | | | | - Arwa Obeidat
- College of Nursing, Sultan Qaboos University, Muscat, Oman
| | | | | | - Omar Al Omari
- College of Nursing, Sultan Qaboos University, Muscat, Oman
| | | | - Mohammad Al Qadire
- College of Nursing, Sultan Qaboos University, Muscat, Oman
- Princess Salma Faculty of Nursing, Al Al-Bayt University, Mafraq, Jordan
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Cai H, Zeng C, Zhang X, Liu Y, Wu R, Guo W, Wang J, Wu H, Tang H, Ge X, Yu Y, Zhang S, Cao T, Li N, Liang X, Yang P, Zhang B. Diminished treatment response in relapsed versus first-episode schizophrenia as revealed by a panel of blood-based biomarkers: A combined cross-sectional and longitudinal study. Psychiatry Res 2022; 316:114762. [PMID: 35940088 DOI: 10.1016/j.psychres.2022.114762] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/31/2022] [Accepted: 08/02/2022] [Indexed: 12/19/2022]
Abstract
There is a paucity of biomarkers for the prediction of treatment response in schizophrenia. In this study, we aimed to investigate whether diminished antipsychotic treatment response in relapsed versus first-episode schizophrenia can be revealed and predicted by a panel of blood-based biomarkers. A cross-sectional cohort consisting of 655 schizophrenia patients at different episodes and 606 healthy controls, and a longitudinal cohort including 52 first-episode antipsychotic-naïve schizophrenia patients treated with the same antipsychotic drugs during the 5-year follow-up of their first three episodes were enrolled. Plasma biomarker changes and symptom improvement were compared between the drug-free phase of psychosis onset and after 4 weeks of atypical antipsychotic drug (AAPD) treatment. In response to treatment, the extent of changes in the biomarkers of bioenergetic, purinergic, phospholipid and neurosteroid metabolisms dwindled down as number of episode and illness duration increased in relapsed schizophrenia. The changes of creatine, inosine, progesterone, allopregnanolone, cortisol and PE(16:0/22:6) were significantly correlated with the improvement of symptomatology. Inosine and progesterone at baseline were shown to be strong predictive biomarkers of treatment response. The results suggest that AAPD treatment response is diminished in the context of relapse, and our findings open new avenues for understanding the pathophysiology of treatment-resistance schizophrenia.
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Affiliation(s)
- Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University, 139# Renmin Road, Changsha, Hunan 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, China; International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China.
| | - Cuirong Zeng
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University, 139# Renmin Road, Changsha, Hunan 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Bejing, China; Department of Psychology, University of Chinese Academy of Sciences, Bejing, China
| | - Yong Liu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China; National Clinical Research Center on Mental Disorders, Changsha, China
| | - Renrong Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China; National Clinical Research Center on Mental Disorders, Changsha, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China; National Clinical Research Center on Mental Disorders, Changsha, China
| | - Jianjian Wang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China; National Clinical Research Center on Mental Disorders, Changsha, China
| | - Haishan Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China; National Clinical Research Center on Mental Disorders, Changsha, China
| | - Hui Tang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China; National Clinical Research Center on Mental Disorders, Changsha, China
| | - Xiaoping Ge
- Department of Psychiatry, Changsha Psychiatric Hospital, Changsha, China
| | - Yan Yu
- Department of Psychiatry, Changsha Psychiatric Hospital, Changsha, China
| | - Shuangyang Zhang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University, 139# Renmin Road, Changsha, Hunan 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Ting Cao
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University, 139# Renmin Road, Changsha, Hunan 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Nana Li
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University, 139# Renmin Road, Changsha, Hunan 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Xiaoli Liang
- Department of Psychiatry, Hunan Brain Hospital, 427# Furong Road, Changsha, Hunan 410000, China
| | - Ping Yang
- Department of Psychiatry, Hunan Brain Hospital, 427# Furong Road, Changsha, Hunan 410000, China.
| | - Bikui Zhang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University, 139# Renmin Road, Changsha, Hunan 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, China; International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China.
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