喘恶化监测的呼吸反应声声生物标志物:前性队列研究
Erik Larsen1, Xinyu Song1, Dale Joachim1
1Sonde Health, Somerville, MA, United States.
一个基于智能手机的新型语音生物标志物有效地实时检测喘恶化. 这种数字工具显示出可访问,非侵入性每日监测喘患者呼吸系统健康的希望.
科学领域:
- 数字健康数字健康
- 生物标志物 生物标志物
- 呼吸系统药物 呼吸系统药物
背景情况:
- 由于常规监测工具的局限性,喘恶化带来了挑战.
- 基于智能手机的呼吸反应性声声生物标志物 (RRVB) 为动态呼吸健康评估提供了一种新的非侵入性方法.
- 之前的研究表明,RRVB在呼吸系统疾病和人群中具有普遍性.
研究的目的:
- 为了评估日常喘恶化监测RRVB工具的真实世界,纵向性能.
- 评估RRVB作为监测喘恶化和呼吸系统状态的方便实时工具的有效性.
主要方法:
- 在84名成人喘患者的前性队列研究中,对其进行了90天的随访.
- 每天提交6秒语音样本,峰值呼气流量测量和症状调查.
- 实时RRVB评分生成和风险比率计算用于恶化预测.
主要成果:
- 较高的RRVB得分显著增加了喘恶化的风险 (2.15-3.57倍高).
- RRVB评分表明暂时的呼吸状态,而不是长期的喘控制.
- 高用户参与度 (58%) 和积极的参与者体验 (93%的易用性,89%的积极体验).
结论:
- 该RRVB工具有效地实时检测喘恶化和动态呼吸状态.
- RRVB显示出作为一种非侵入性,用户友好的数字生物标志物,用于喘管理的潜力.
- 这些发现支持将基于语音的工具集成为主动的,现实世界的喘监测.
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