通过非接触式连续生命体征监测,及早发现普通病房中病情恶化的病人。

IF 2.7 Q3 ENGINEERING, BIOMEDICAL Frontiers in medical technology Pub Date : 2024-08-29 eCollection Date: 2024-01-01 DOI:10.3389/fmedt.2024.1436034
Ambuj Yadav, Himanshu Dandu, Gaurav Parchani, Kumar Chokalingam, Pooja Kadambi, Rajesh Mishra, Ahsina Jahan, Jean-Louis Teboul, Jos M Latour
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引用次数: 0

摘要

目的评估使用自动预警系统(EWS)进行非接触式连续生命体征监测对检测普通病房患者临床病情恶化的效果:在印度一家三甲医院的内科病房进行了一项前瞻性观察队列研究,共有 706 名患者参与,监测时间长达 84,448 小时。研究使用非接触式球形心动图系统(Dozee 系统)连续监测心率、呼吸频率和血压。研究评估了患者病情恶化或出院前 24、48、72、96、120 小时的总警报数、平均警报数和中位警报数以及住院时间(LOS)。研究还分析了警报的敏感性和特异性、从初始警报到病情恶化的平均时间以及医护人员(HCP)的活动。研究已在印度临床试验注册中心(CTRI/2022/10/046404)注册:在 706 名患者中,33 人(5%)出现临床病情恶化,673 人(95%)未出现临床病情恶化。与正常出院的患者相比,病情恶化组患者在所有时间点上的警报数量都更高。在事件发生前的 24 小时内,首次警报与临床病情恶化之间的平均间隔时间为 16 小时。Dozee-EWS 的灵敏度介于 67% 和 94% 之间。医护人员在生命体征检查和记录上花费的时间为 10%:这项研究表明,在普通病房使用 Dozee-EWS 进行非接触式连续生命体征监测,有望加强对临床病情恶化的早期检测。进一步的研究对于在更广泛的临床环境中评估其有效性至关重要。
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Early detection of deteriorating patients in general wards through continuous contactless vital signs monitoring.

Objective: To assess the efficacy of continuous contactless vital signs monitoring with an automated Early Warning System (EWS) in detecting clinical deterioration among patients in general wards.

Methods: A prospective observational cohort study was conducted in the medical unit of a tertiary care hospital in India, involving 706 patients over 84,448 monitoring hours. The study used a contactless ballistocardiography system (Dozee system) to continuously monitor heart rate, respiratory rate, and blood pressure. The study assessed total, mean, and median alerts at 24, 48, 72, 96, 120 h, and length of stay (LOS) before patient deterioration or discharge. It analyzed alert sensitivity and specificity, average time from initial alert to deterioration, and healthcare practitioners (HCP) activity. Study was registered with the Clinical Trials Registry-India CTRI/2022/10/046404.

Results: Out of 706 patients, 33 (5%) experienced clinical deterioration, while 673 (95%) did not. The deterioration group consistently had a higher number of alerts compared to those who were discharged normally, across all time-points. On average, the time between the initial alert and clinical deterioration was 16 h within the last 24 h preceding the event. The sensitivity of the Dozee-EWS varied between 67% and 94%. HCP spend 10% of their time on vital signs check and documentation.

Conclusions: This study suggests that utilizing contactless continuous vital signs monitoring with Dozee-EWS in general ward holds promise for enhancing the early detection of clinical deterioration. Further research is essential to evaluate the effectiveness across a wider range of clinical settings.

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