Venous Waveform analysis to predict volume changes in pediatric patients during anesthesia

静脉波形分析可预测儿科患者麻醉期间的容量变化

基本信息

项目摘要

PROJECT SUMMARY In the perioperative environment, precise understanding and monitoring of intravascular volume status is important. In pediatric patients, changes in vital signs (blood pressure and heart rate) often do not occur until significant blood loss and end-organ damage have ensued. Hemorrhage during surgery represents a major cause of pediatric perioperative morbidity, and early and adequate resuscitation improves survival. Unfortunately, clinical signs and current monitoring strategies are inconsistent in providing accurate, real-time assessment of volume status in pediatric patients. This proposal will develop the use of a unique physiologic signal, Non- Invasive Venous waveform Analysis (NIVA), for monitoring intravascular volume status for both hemorrhage and volume overload. Proof of concept data in humans and experimental animal models demonstrate that NIVA provides a reliable indication of intravascular volume status, supporting the premise of this proposal. This proposal will use an experimental piglet model of controlled hemorrhage, resuscitation, and volume overload to validate and refine the algorithm for waveform analysis. Additionally, the proposal will evaluate the application of the NIVA algorithm for pediatric patients undergoing complex cranial vault reconstruction to assess its ability to detect volume changes in the perioperative setting These studies will be used to mitigate risks associated with the use of NIVA and will lead to a better understanding of venous waveform analysis (for precise management of intravascular volume) and of venous hemodynamics (a largely under-studied part of the cardiovascular system) in the pediatric population.
项目概要 在围手术期环境中,精确了解和监测血管内容量 状态很重要。在儿科患者中,生命体征(血压和心率)发生变化 通常直到发生大量失血和终末器官损伤后才会发生。出血 手术期间的并发症是儿科围手术期发病率的一个主要原因,并且早期和 充分的复苏可提高生存率。不幸的是,临床症状和当前监测 策略在提供准确、实时的交易量状态评估方面不一致 儿科患者。该提案将开发一种独特的生理信号的使用,非 有创静脉波形分析 (NIVA),用于监测两者的血管内容量状态 出血和容量超负荷。人类和实验动物的概念数据证明 模型表明 NIVA 可以可靠地指示血管内容量状态, 支持该提案的前提。该提案将使用实验仔猪模型 控制出血、复苏和容量超负荷以验证和完善算法 用于波形分析。此外,该提案还将评估 NIVA 的应用 用于接受复杂颅顶重建的儿科患者的算法,以评估其 检测围手术期体积变化的能力这些研究将用于 减轻与使用 NIVA 相关的风险,并将有助于更好地了解静脉 波形分析(用于精确管理血管内容量)和静脉 儿科的血流动力学(心血管系统的一个很大程度上未被充分研究的部分) 人口。

项目成果

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Jenna M Helmer Sobey其他文献

Jenna M Helmer Sobey的其他文献

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{{ truncateString('Jenna M Helmer Sobey', 18)}}的其他基金

Venous Waveform analysis to predict volume changes in pediatric patients during anesthesia
静脉波形分析可预测儿科患者麻醉期间的容量变化
  • 批准号:
    10683968
  • 财政年份:
    2022
  • 资助金额:
    $ 25.95万
  • 项目类别:

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