P159 Validation of the VitaloJAK™ 24 Hour Ambulatory Cough Monitor
P159 Validation of the VitaloJAK™ 24 Hour Ambulatory Cough Monitor
复制标题
P159 VitaloJAK™ 24 小时动态咳嗽监测仪的验证
作者：
K. Mcguinness;K. Holt;R. Dockry;Jacky A. Smith
简介 由于缺乏经过充分验证的客观咳嗽频率方法，咳嗽新疗法及其管理的发展受到阻碍。以前的验证是在有限的时间内或在实验室条件下进行的，并不总是代表典型用途。我们描述了半自动 24 小时动态咳嗽监测系统（Vitalojak；Vitalograph；英国白金汉郡）的严格验证，该系统以完全复制常规实践的方式运行。方法 总共 10 名患者（4 名女性）（平均年龄 60.4 岁 [SD ±14.1]，包括 6 名慢性咳嗽、2 名哮喘、1 名慢性阻塞性肺病和 1 名健康对照者）接受了完整的 24 小时动态监测 (VitaloJAK™)。这些记录由训练有素的咳嗽计数器手动计数，他们还记录了每次咳嗽发生的时间。然后使用定制设计的压缩软件压缩这些 24 小时记录，并确定对咳嗽的敏感性和减少的文件时间。重要的是，在每个案例中，我们确认压缩文件中识别的咳嗽声音与经过训练的手动咳嗽计数器在整个 24 小时录音中识别的声音相同。结果所有结果均以压缩级别 1、2 和 3 的咳嗽敏感度 (%) 表示，分别为 100(100, 100)、100(99.53)。 100) 和 99.92(99.33, 100)，减少的文件时间（分钟）分别为 65.89 (62.40, 83.07)、43.21 (35.94, 57.23) 和 26.30 (25.07,46.81)（表 1）。压缩级别 1、2 和 3 下每个主题的灵敏度。未压缩文件长度 = 1440 分钟 输出时间和灵敏度 级别 1 级别 2 级别 3 主题分钟灵敏度 分钟灵敏度 分钟灵敏度 1 62.01 100.00 37.40 100.00 26.23 99.37 2 63.56 100.00 31.08 99.44 24.98 98.33 3 128.24 100.00 93.45 100.00 63.82 100.00 4 144.00 100.00 120.72 100.00 71.90 99.83 5 35.13 100.00 25.08 100.00 20.83 100.00 6 63.69 100.00 42.91 99.32 22.65 99.32 7 73.15 100.00 43.50 100.00 25.32 100.00 8 86.38 100.00 56.53 100.00 41.23 100.00 9 68.08 100.00 57.47 99.81 48.67 100.00 10 52.71 96.95 35.45 96.95 26.37 96.59 平均值77.69 99.70 54.36 99.55 37.20 99.34 中位数 65.89 100.00 43.21 100.00 26.30 99.92 结论 fataloJAK™ 是客观测量咳嗽频率的可靠、稳健和高效的工具，重要的是，它可将 24 小时记录减少高达 98%。保留接近 100% 记录的咳嗽声音，这一发展促进了高效、快速的手动咳嗽计数，并且所达到的压缩水平代表了全自动咳嗽监测的重大进展。
Introduction Development of novel treatments for cough and its management are hampered by the lack of well validated objective cough frequency methodologies. Previous validations have been performed over limited time periods or in laboratory conditions not always representative of typical usage. We describe the rigorous validation of a semi-automated 24 hour ambulatory cough monitoring system (Vitalojak; Vitalograph; Buckinghamshire, England) operating in a manner which completely replicates routine practise. Methods In total 10 (4 female) patients (mean age 60.4 years [SD ±14.1] including 6 chronic cough, 2 asthma, 1 COPD and 1 healthy control underwent full 24 Hour ambulatory monitoring (VitaloJAK™). These recordings were manually counted by trained cough counters who also recorded the time at which each cough occurred. These 24 hour recordings were then compressed using custom designed compression software and the sensitivity to cough and the reduced file times were determined. Importantly in each case we confirmed that cough sounds identified in the compressed files were the same sounds identified by the trained manual cough counters in the full 24 hour recording. We tested the software algorithm using three distinct compression levels (1, 2 and 3). Results All results are presented as median (IQR). Sensitivities to cough (%) for compression levels 1, 2 and 3 are 100(100, 100), 100(99.53, 100) and 99.92(99.33, 100) and for reduced file times (minutes) 65.89 (62.40, 83.07), 43.21 (35.94, 57.23) and 26.30 (25.07,46.81) respectively (Table 1). Abstract P159 Table 1 Compressed output file times and sensitivities for each subject at compression levels 1, 2 and 3. Uncompressed file length=1440 minutes Output times and sensitivity Level 1 Level 2 Level3 Subject Minutes sensitivity Minutes sensitivity Minutes sensitivity 1 62.01 100.00 37.40 100.00 26.23 99.37 2 63.56 100.00 31.08 99.44 24.98 98.33 3 128.24 100.00 93.45 100.00 63.82 100.00 4 144.00 100.00 120.72 100.00 71.90 99.83 5 35.13 100.00 25.08 100.00 20.83 100.00 6 63.69 100.00 42.91 99.32 22.65 99.32 7 73.15 100.00 43.50 100.00 25.32 100.00 8 86.38 100.00 56.53 100.00 41.23 100.00 9 68.08 100.00 57.47 99.81 48.67 100.00 10 52.71 96.95 35.45 96.95 26.37 96.59 Mean 77.69 99.70 54.36 99.55 37.20 99.34 Median 65.89 100.00 43.21 100.00 26.30 99.92 Conclusions The vitaloJAK™ is a reliable, robust and efficient tool for the objective measurement of cough frequency. Importantly it reduces 24 hour recordings by up to 98% whilst preserving close to 100% of recorded cough sounds. This development facilitates efficient and speedy manual cough counting and the level of compression achieved represents significant progress towards fully automated cough monitoring.