吸入量作为数字生物标志物预测慢性呼吸道疾病的结果
Henry Chrystyn1, Mark Milton-Edwards2
1Inhalation Consultant, Bingley, United Kingdom.
概括
数字吸入器追踪吸入量 (InhV),这是慢性呼吸道疾病的关键数字生物标志物. 下部InhV预测恶化并表明失控的喘,有助于患者的管理.
科学领域:
- 数字健康技术数字健康技术
- 呼吸系统药物 呼吸系统药物
- 发现生物标志物的发现.
背景情况:
- 数字生物标志物可以客观地评估慢性呼吸道疾病 (CRD) 中的治疗反应.
- 呼出的空气流在CRD管理中至关重要,但吸入的参数不太了解.
- 数字吸入器被动地收集吸入量 (InhV) 和吸入量峰值 (PIF) 等吸入量数据.
研究的目的:
- 研究吸入量 (InhV) 作为CRD中的数字生物标志物的作用和实用性.
- 评估INhV与疾病状态,恶化和吸入技术之间的相关性.
主要方法:
- 使用数字吸入器在现实患者使用过程中被动收集启发性参数 (InhV,PIF).
- 分析了与喘/COPD恶化和疾病控制有关的InhV趋势.
- 与一秒内强迫呼气体积 (FEV1) 相关的InhV和评估的测量准确性和可变性.
主要成果:
- 在CRD恶化之前,NHV降低,在恶化后增加;在不受控制的喘中,NHV较低.
- 在InhV和FEV1之间观察到强烈的相关性,支持其病理生理学相关性.
- InhV显示出精度和低可变性,随着时间的推移,技术衰减对InhV的影响比PIF更大.
结论:
- 通过数字吸入器测量的InhV是CRD管理的有价值的数字生物标志物.
- 在预测急性恶化和监测疾病控制方面,InhV显著有用.
- 个体化的InhV趋势为解释患者随时间推移的病情提供了有效的基础.
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