Wearable alert system for detecting postoperative hypotension

用于检测术后低血压的可穿戴警报系统

• 批准号: 10760370
• 负责人: Joshua Kim
• 金额: $ 29.59万
• 依托单位: VENA VITALS, INC.
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-11 至 2025-02-10
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10760370
• 关键词: Acute Renal Failure with Renal Papillary Necrosis; Address; Anesthesia procedures; Arterial Lines; Blood Pressure; Cardiac; Caregivers; Caring; Cessation of life; Cost efficiency; Data; Detection; Deterioration; Devices; Drops; Early Diagnosis; Environment; Event; Follow-Up Studies; Frequencies; Funding; General Ward; Hospitals; Hour; Hypotension; Hypotensives; Hypoxemia; Intensive Care Units; Intervention; Location; Manuals; Measures; Methods; Modeling; Monitor; Notification; Nurses; Operating Rooms; Operative Surgical Procedures; Palpable; Patient Monitoring; Patient-Focused Outcomes; Patients; Personal Satisfaction; Phase; Physiologic pulse; Pilot Projects; Postoperative Period; Recovery; Reporting; Resources; Risk; Sensitivity and Specificity; Signal Transduction; Small Business Innovation Research Grant; Spottings; Stroke; System; Technology; Time; United States National Institutes of Health; cardiac intensive care unit; caregiver interventions; cerebrovascular; clinical care; clinical practice; cost; detection platform; experience; falls; feasibility testing; hemodynamics; high risk; hospital readmission; improved; machine learning classifier; machine learning model; myocardial injury; non-invasive monitor; pressure; prevent; risk of major adverse events; risk stratification; standard of care; ward; wearable device; wireless

Project Summary This project aims to develop a low-cost, comfortable, and easy-to-use wearable alert system that tracks continuous BP non-invasively in patients to notify caregivers of hypotensive events in the postoperative setting. Postoperative hypotension (POH), when a patient’s mean arterial pressure (MAP) falls to unsafe levels, commonly <70 mmHg, can occur frequently in the time span between leaving the operating room and prior to discharge from the hospital. POH is a serious and common condition that has been shown to be independently associated with poor patient outcomes such as acute kidney injury, stroke, hospital re-admission, myocardial injury, and death.1–9 During surgery and recovery in the post anesthesia care unit (PACU) or the intensive care unit (ICU), a patient’s hemodynamics are closely monitored to support timely interventions and treatment. However, once the patient is transferred to a lower ward for recovery, patient monitoring is dramatically reduced. The current method to monitor a patient’s BP in the general ward, which relies on intermittent spot-checks performed manually every 4-6 hours by the nurse using an oscillometric BP cuff, is insufficient for detecting POH events. A recent study showed that almost 50% of hypotensive events went undetected by routine vital assessments. There is an unmet need for a technology that comfortably monitors a patient’s BP in the postoperative setting. Our core technology is able to non-invasively measure rapid BP changes at any location with a palpable pulse. The proposed project aims build upon the core technology to create a wearable alert system that informs caregivers of postoperative hypotensive episodes. To do so, a machine learning (ML) classifier for detection of hypotensive episodes will be developed through monitoring in the ICU. This ML classifier will undergo feasibility testing in the PACU and then a pilot study in the general ward. Successful completion of the proposed aims will result in a proof- of-concept wearable alert system that continuously monitors BP in the postoperative environment in a low-profile, wireless, and comfortable manner. Such a technology has huge potential to change clinical practice through earlier detection of patient deterioration, allowing more timely intervention and ultimately improved patient outcomes.

项目摘要 该项目旨在开发一种低成本，舒适且易于使用的可穿戴警报系统 在患者中无创地跟踪BP，以通知护理人员降压事件 术后设置。术后低血压（POH），当患者的平均动脉压 （地图）跌至不安全的水平，通常<70 mmHg，可能在之间经常发生 离开手术室，从医院出院前。 POH是一个严肃而普遍的 已证明与差的患者结局独立相关的状况此类状况 作为急性肾脏受伤，中风，医院再入院，心肌损伤和死亡。1-9 麻醉后护理部门（PACU）或重症监护病房（ICU）的手术和恢复 密切监测患者的血液动力学，以支持及时的干预措施和治疗。 但是，一旦患者转移到下部病房以恢复，患者监测是 急剧减少。当前监测病房中患者BP的方法，该方法 依靠护士每4-6小时手动进行一次间歇性检查的现场检查 振荡BP袖口，不足以检测POH事件。最近的一项研究表明，几乎 50％的降压事件未通过常规重要评估而没有发现。有一个未满足的 需要在术后舒适地监视患者BP的技术。我们的 核心技术能够通过使用 明显的脉搏。拟议的项目旨在建立在核心技术的基础上，以创建可穿戴 警报系统向护理人员告知术后降压发作。为此，一台机器 将通过学习（ML）分类器检测降压情节 在ICU中进行监视。该ML分类器将在PACU中进行可行性测试，然后 一般病房的试点研究。成功完成拟议的目标将导致证明 - 概念可穿戴的警报系统在术后环境中不断监视BP 以低调，无线和舒适的方式。这样的技术具有巨大的潜力 通过早期检测患者定义来更改临床实践，使得更及时 干预并最终改善了患者的预后。