在精神分裂症患者中开发和评估社会残疾风险预测模型
Xiaojian Jiang1, Tingting Xiang1,2, Sally Wai Chi Chan3
1School of Nursing, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Frontiers in psychiatry
|October 23, 2025
概括
一个新的模型通过分析症状,认知和支持,准确地预测精神分裂症患者的社会残疾. 这种工具有助于早期干预,以改善患者的治疗结果.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 健康的社会决定因素
- 临床预测建模临床预测建模
背景情况:
- 精神分裂症显著损害了社会功能,需要有效预测社会残疾.
- 社会残疾是精神分裂症中普遍存在的问题,影响生活质量,需要早期干预策略.
研究的目的:
- 开发和验证一个强大的风险预测模型,用于精神分裂症患者的社会残疾.
- 为了确定有针对性的干预措施的社会残疾的关键因素.
主要方法:
- 在473名精神分裂症患者的横截面研究中,使用标准化评估 (例如,社会残疾查计划,认知测试).
- 后勤回归分析以确定社会残疾的独立风险因素.
- 使用AUC和Hosmer-Lemeshow适合性测试评估的模型性能.
主要成果:
- 66.4%的患者经历了社会残疾,人口统计和临床特征有显著差异.
- 确定了六个独立的风险因素:精神病症状严重程度,药物坚持,认知功能,感知耻辱,社会支持和心理资本.
- 预测模型显示强烈的歧视 (AUC=0.860) 具有高灵敏度 (0.873) 和特异性 (0.868).
结论:
- 开发的风险预测模型有效地识别了精神分裂症患者的社会残疾高风险.
- 该模型支持早期和有针对性的干预措施,以改善精神分裂症的社会功能和整体结果.
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