Wearable alert system for detecting postoperative hypotension
用于检测术后低血压的可穿戴警报系统
基本信息
- 批准号:10760370
- 负责人:
- 金额:$ 29.59万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:Acute Renal Failure with Renal Papillary NecrosisAddressAnesthesia proceduresArterial LinesBlood PressureCardiacCaregiversCaringCessation of lifeCost efficiencyDataDetectionDeteriorationDevicesDropsEarly DiagnosisEnvironmentEventFollow-Up StudiesFrequenciesFundingGeneral WardHospitalsHourHypotensionHypotensivesHypoxemiaIntensive Care UnitsInterventionLocationManualsMeasuresMethodsModelingMonitorNotificationNursesOperating RoomsOperative Surgical ProceduresPalpablePatient MonitoringPatient-Focused OutcomesPatientsPersonal SatisfactionPhasePhysiologic pulsePilot ProjectsPostoperative PeriodRecoveryReportingResourcesRiskSensitivity and SpecificitySignal TransductionSmall Business Innovation Research GrantSpottingsStrokeSystemTechnologyTimeUnited States National Institutes of Healthcardiac intensive care unitcaregiver interventionscerebrovascularclinical careclinical practicecostdetection platformexperiencefallsfeasibility testinghemodynamicshigh riskhospital readmissionimprovedmachine learning classifiermachine learning modelmyocardial injurynon-invasive monitorpressurepreventrisk of major adverse eventsrisk stratificationstandard of carewardwearable devicewireless
项目摘要
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.
项目概要
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,
无创地跟踪患者的连续血压,以通知护理人员患者的低血压事件
术后低血压(POH),即患者的平均动脉压。
(MAP) 降至不安全水平,通常<70 mmHg,在以下时间跨度内经常发生:
离开手术室和出院前发生的 POH 是一种严重且常见的情况。
已被证明与不良患者预后独立相关的病症,例如
如急性肾损伤、中风、再次入院、心肌损伤和死亡。1–9
在麻醉后监护病房 (PACU) 或重症监护病房 (ICU) 进行手术和恢复,
密切监测患者的血流动力学,以支持及时的干预和治疗。
然而,一旦患者被转移到下层病房进行康复,患者监测就无法进行。
目前在普通病房监测患者血压的方法大大减少。
依靠护士每 4-6 小时手动进行间歇性抽查,使用
最近的一项研究表明,示波血压袖带不足以检测 POH 事件。
常规生命评估未发现 50% 的低血压事件。
需要一种能够在术后环境中舒适地监测患者血压的技术。
核心技术能够以非侵入方式测量任何位置的快速血压变化
拟议项目旨在以核心技术为基础,打造一款可穿戴设备。
警报系统可以通知护理人员术后低血压发作。为此,需要一台机器。
用于检测低血压发作的学习(ML)分类器将通过以下方式开发
该 ML 分类器将在 PACU 中进行可行性测试,然后进行可行性测试。
普通病房试点研究的成功完成将产生证明-
概念可穿戴式警报系统,可在术后环境中持续监测血压
这种技术以低调、无线和舒适的方式具有巨大的潜力。
通过及早发现患者病情恶化来改变临床实践,以便更及时地
干预并最终改善患者的治疗结果。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Joshua Kim其他文献
Joshua Kim的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Joshua Kim', 18)}}的其他基金
Beat-to-Beat Blood Pressure Monitoring During Sleep
睡眠期间逐次血压监测
- 批准号:
10629436 - 财政年份:2022
- 资助金额:
$ 29.59万 - 项目类别:
Beat-to-Beat Blood Pressure Monitoring During Sleep
睡眠期间逐次血压监测
- 批准号:
10449027 - 财政年份:2022
- 资助金额:
$ 29.59万 - 项目类别:
相似国自然基金
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
相似海外基金
Cardiac sURgery anesthesia Best practices to reduce Acute Kidney Injury (CURB-AKI)
心脏手术麻醉减少急性肾损伤 (CURB-AKI) 的最佳实践
- 批准号:
10656576 - 财政年份:2022
- 资助金额:
$ 29.59万 - 项目类别:
Data Driven Approaches to Improving Risk Prediction of Pulmonary Complications After Major Inpatient Surgery
数据驱动的方法改善重大住院手术后肺部并发症的风险预测
- 批准号:
10665631 - 财政年份:2021
- 资助金额:
$ 29.59万 - 项目类别:
Data Driven Approaches to Improving Risk Prediction of Pulmonary Complications After Major Inpatient Surgery
数据驱动的方法改善重大住院手术后肺部并发症的风险预测
- 批准号:
10283012 - 财政年份:2021
- 资助金额:
$ 29.59万 - 项目类别:
Data Driven Approaches to Improving Risk Prediction of Pulmonary Complications After Major Inpatient Surgery
数据驱动的方法改善重大住院手术后肺部并发症的风险预测
- 批准号:
10469672 - 财政年份:2021
- 资助金额:
$ 29.59万 - 项目类别:
How Can We Make Invasive Non-Surgical Procedures Safer? Using Big Data to Identify Adverse Events and Opportunities to Mitigate Harm
我们如何才能使侵入性非手术程序更安全?
- 批准号:
10399528 - 财政年份:2020
- 资助金额:
$ 29.59万 - 项目类别: