...
首页> 外文期刊>Physiological measurement >Model-based setting of inspiratory pressure and respiratory rate in pressure-controlled ventilation
【24h】

Model-based setting of inspiratory pressure and respiratory rate in pressure-controlled ventilation

机译:基于模型的压力控制通气中的吸气压力和呼吸频率设置

获取原文
获取原文并翻译 | 示例

摘要

Mechanical ventilation carries the risk of ventilator-induced-lung-injury (VILI). To minimize the risk ofVILI, ventilator settings should be adapted to the individual patient properties. Mathematical models of respiratory mechanics are able to capture the individual physiological condition and can be used to derive personalized ventilator settings. This paper presents model-based calculations of inspiration pressure (pI), inspiration and expiration time (t_I, t_E) in pressurecontrolled ventilation (PCV) and a retrospective evaluation of its results in a group of mechanically ventilated patients. Incorporating the identified first order model of respiratory mechanics in the basic equation of alveolar ventilation yielded a nonlinear relation between ventilation parameters during PCV. Given this patient-specific relation, optimized settings in terms ofminimal pI and adequate t_E can be obtained.We then retrospectively analyzed data from 16 ICU patients with mixed pathologies, whose ventilation had been previously optimized by ICU physicians with the goal of minimization of inspiration pressure, and compared the algorithm's 'optimized' settings to the settings that had been chosen by the physicians. The presented algorithm visualizes the patient-specific relations between inspiration pressure and inspiration time. The algorithm's calculated results highly correlate to the physician's ventilation settings with r = 0.975 for the inspiration pressure, and r = 0.902 for the inspiration time. The nonlinear patient-specific relations of ventilation parameters become transparent and support the determination of individualized
机译:机械通气具有呼吸机诱发的肺损伤(VILI)的风险。为了最大程度降低VILI风险,应根据患者的具体情况调整呼吸机设置。呼吸力学的数学模型能够捕获个体生理状况,并可用于导出个性化的呼吸机设置。本文介绍了基于模型的压力控制通气(PCV)中的吸气压力(pI),吸气和呼气时间(t_I,t_E)的计算方法,并对一组机械通气患者的结果进行了回顾性评估。在肺泡通气的基本方程式中纳入确定的呼吸力学一阶模型,可以在PCV期间获得通气参数之间的非线性关系。鉴于这种患者特定的关系,可以获得最小pI和足够的t_E的优化设置。然后我们回顾性分析了16例混合病灶的ICU患者的数据,这些患者先前曾由ICU医师优化过通气,目的是最大程度地降低吸气压力,并将算法的“优化”设置与医生选择的设置进行了比较。提出的算法可视化了患者特定的吸气压力和吸气时间之间的关系。该算法的计算结果与医生的通气设置高度相关,吸气压力r = 0.975,吸气时间r = 0.902。非线性的患者特定通气参数关系变得透明,并支持个性化确定

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号