第一次精神分裂症患者的症状网络的动态:来自CNFEST项目的见解
Zhenqing Zhang1, Bingjie Huang2, Weiwei Wu1
1Xiamen Xianyue Hospital, Xianyue Hospital Affiliated with Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental Disorders, Xiamen, Fujian, China; Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
在第一发精神分裂症 (FES) 中,负面症状是中心和稳定的,可能预测其他症状. 这项研究分析了FES患者的症状网络,持续了6个月.
科学领域:
- 精神病学是一个精神病学.
- 网络分析 网络分析
- 临床心理学 临床心理学
背景情况:
- 精神分裂症是一种复杂的疾病,症状相互作用对其病理学至关重要.
- 了解这些相互作用是解开精神分裂症机制的关键.
- 这项研究研究了六个月的第一次精神分裂症 (FES) 患者的症状网络.
研究的目的:
- 检查FES患者的症状网络结构.
- 为了确定稳定的症状连接和中心症状.
- 探索随着时间的推移,症状之间的预测关系.
主要方法:
- 从中国第一期精神分裂症试验 (CNFEST) 招募了565名FES患者.
- 在基线和随访时使用阳性和阴性综合征量表 (PANSS) 测量临床症状.
- 采用网络分析和交叉滞后面板网络 (CLPN) 模型来分析症状相互联系和预测性.
主要成果:
- 确定了稳定的症状联系,例如,妄想-怀疑和情绪退缩-社会退缩.
- 情绪退缩,不良关系和被动的社会退缩显示出高度的中心性.
- CLPN分析显示了负面症状 (情绪退缩,不良关系,被动社会退缩) 和刻板印象的思维预测其他症状.
结论:
- 精神分裂症症状网络可能在治疗期间演变.
- 在FES中,负面症状始终是中心的和稳定的.
- 针对负面症状可能是一个有希望的治疗策略来管理其他精神分裂症症状.
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