患有非特异性癌症症状的患者的焦虑和抑郁:来自快速诊断诊所的数据
Maria J Monroy-Iglesias1, Beth Russell1, Sabine Martin2
1Translational Oncology and Urology Research, King's College London, Faculty of Life Sciences and Medicine, London, United Kingdom.
Frontiers in oncology
|June 18, 2024
概括
快速诊断诊所 (RDC) 帮助患有有关症状的患者. 以前的心理健康问题,疲劳,体重减轻和长时间的症状与这些患者的严重焦虑和抑郁有关.
科学领域:
- 在瘤学瘤学.
- 精神病学是一个精神病学.
- 数据科学数据科学数据科学
背景情况:
- 快速诊断诊所 (RDC) 简化了癌症症状评估.
- 患有非部位特异性 (NSS) 症状的患者经常经历焦虑和抑郁.
- 了解RDC患者的心理并发症至关重要.
研究的目的:
- 评估RDC患者中严重焦虑和抑郁症的患病率.
- 确定患者的特征和与严重焦虑和抑郁相关的症状.
- 将标准统计方法与机器学习进行比较,以进行预测.
主要方法:
- 在伦敦RDC的1734名患者填写了GAD-7和PHQ-8问卷.
- 后勤回归 (LR) 和机器学习 (ML) 算法 (随机森林,SVM) 用于预测.
- 模型使用了社会人口统计学和临床变量.
主要成果:
- 严重焦虑的患病率为13.8%,严重抑郁的患病率为9.3%.
- 之前的心理健康状况,疲劳,体重减轻,渐进的疼痛和症状持续时间>6个月与两者有关.
- LR和SVM模型在预测严重焦虑和抑郁症方面表现出高准确度.
结论:
- 在RDC患者中存在严重焦虑和抑郁的高患病率.
- 特定的症状和病史是心理痛苦的关键风险因素.
- 通过加快诊断,RDC可以减轻患者的痛苦.
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