听力-MHE研究:自动语音分析识别了最小的肝脑病变,并可能预测未来的明显肝脑病变
Patricia P Bloom1, Caitlyn J Fisher1, Nicholas Tedesco1
1Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Hepatology (Baltimore, Md.)
|September 12, 2024
概括
语音分析可以识别最小肝脑病变 (MHE) 和预测肝硬化患者的明显肝脑病变 (OHE). 这种自动化工具对诊断和监测MHE和OHE充满希望,改善患者的生活质量.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 神经学 神经学
- 语音科学 语言科学
背景情况:
- 肝脏脑病变 (HE) 显著影响患者的生活质量.
- 需要一个简单的诊断工具,用于最小肝脑病变 (MHE) 和预测明显的HE (OHE).
研究的目的:
- 评估语音模式分析是否与HE诊断测试相关.
- 为了确定语音分析是否与MHE相关.
- 评估语音分析预测未来OHE的能力.
主要方法:
- 一项前性队列研究,涉及200名肝硬化患者和50名对照.
- 自动语音分析平台提取声学,词汇和语义变量.
- 基线语音记录,心理测量HE得分,以及对OHE发作进行6个月的随访.
主要成果:
- 超过100个语音变量与心理测量HE分数有显著的相关性.
- 一个三变量语音模型显示了与MHE预测的动物命名测试 (AUC 0.76) 的性能相似.
- 综合临床语音模型 (HEAR-MHE) 预测了0.74对应度的OHE时间.
结论:
- 自动语音分析与HE诊断测试和MHE有很强的相关性.
- 语音分析显示了在肝硬化患者中预测未来OHE的潜力.
- 需要进一步的验证和临床实施研究.
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