情绪调节能力的预测实用性,用于评估抑郁症患者的认知改善
Jing Ma1, Peiyu Dong2, Xiao Yuan1
1Department of Neurology, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China; Department of Neurology, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, 2800 Gongwei Road, Pudong, Shanghai, 201399, China.
Journal of psychiatric research
|September 8, 2024
概括
情绪调节能力预测SNRIs治疗的抑郁症患者的认知功能改善. 包括执行功能和HAMD分数在内的综合模型提供了卓越的临床可行性和预测准确性.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 临床心理学 临床心理学
背景情况:
- 抑郁症通常会损害认知功能,影响治疗结果.
- 选择性色素再吸收抑制剂 (SNRIs) 是常用的,但预测认知改善仍然具有挑战性.
- 人们越来越认识到,情绪调节能力对心理健康至关重要.
研究的目的:
- 开发一种预测模型,用于SNRIs治疗抑郁症患者的认知功能改善,利用情绪调节能力.
- 探索结合情绪调节,执行功能和HAMD分数的实用性,以提高预测.
- 为了指导个性化的抑郁症治疗策略.
主要方法:
- 分析了170名用SNRIs治疗的患者的临床数据.
- 根据MoCA-B得分,患者被分为认知功能改善和不改善的组.
- 用一步逻辑回归,LASSO回归和逻辑回归来构建和验证预测模型.
主要成果:
- 一个使用四个指标的情绪调节 (ER) 模型,实现了0.817.7的AUC.
- 结合情绪调节,执行功能和HAMD得分的增强模型 (EREH) 显示出卓越的预测性能,AUC为0.859.
- 两种模型都显示出良好的校准,EREH模型提供了更好的差异化和一致性.
结论:
- 情绪调节能力是SNRIs治疗抑郁症患者认知功能改善的潜在预测因素.
- 整合情绪调节,执行功能和HAMD分数的预测模型在临床应用中更可行和有效.
- 进一步的研究可能会确定影响抑郁症治疗认知结果的其他因素.
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