终身严重抑郁症患者的死亡原因:来自社区尸检中心的全面机器学习分析
Paula Villela Nunes1,2, Livia Mancine3,4, Beatriz Astolfi Neves5
1Faculdade de Medicina de Jundiai, rua Francisco Telles, 250, Jundiai, SP, 13202-550, Brazil. paula@formato.com.br.
BMC psychiatry
|July 25, 2024
概括
尸体解剖研究没有发现明显的死亡原因 (CoD) 模式,可以将主要抑郁症 (MDD) 与对照区分开来. 机器学习模型也未能区分群体,凸显了抑郁症研究中的异质性.
科学领域:
- 验尸医生和法医病理学
- 精神病学和心理健康 精神病学和心理健康
- 计算生物学和机器学习
背景情况:
- 大型抑郁症 (MDD) 与死亡率和发病率的增加有关.
- 尸体解剖报告提供了对病理状况和报告不足的死亡原因 (CoD) 的详细见解.
- 没有先前的研究专门分析了MDD患者的尸检确认的CoD.
研究的目的:
- 为了比较MDD和匹配的对照个体之间的尸检确认的COD.
- 分析MDD样本中的CoD子组,包括晚年和复发性抑郁症.
- 评估机器学习 (ML) 算法的有效性,以区分MDD与基于CoD的对照.
主要方法:
- 进行了对非创伤性死亡的病因综合分析.
- 使用DSM-5标准通过告密者采访确认了MDD诊断.
- 用11个ML算法将MDD与对照区分开来,以及对联数据的McNemar测试.
主要成果:
- 该研究包括1,102个人,其中232人被诊断为MDD,每个人都与对照匹配.
- 在MDD组中常见的慢性病是循环 (67.2%),呼吸 (13.4%),消化 (6.0%) 和癌症 (5.6%).
- 机器学习模型无法可靠地将MDD与对照区分开来 (平均准确率为50.6%),并且在组间的CoD类别中没有显著差异.
结论:
- 尸体解剖证实COD显示,抑郁症患者和对照人群之间存在显著的相似性.
- 这些发现强调了与抑郁症相关的死亡原因的异质性.
- 未来的研究应该集中在严重抑郁症病例和更大的队列上,特别是关于与癌症相关的死亡率.
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