...
首页> 外文期刊>Journal of clinical monitoring and computing >Evaluation of a computer program for non-invasive determination of pulmonary shunt and ventilation-perfusion mismatch
【24h】

Evaluation of a computer program for non-invasive determination of pulmonary shunt and ventilation-perfusion mismatch

机译:计算机程序的评估,用于无创确定肺分流和通气-灌注不匹配

获取原文
获取原文并翻译 | 示例
           

摘要

We describe a three-compartment model (shunt and two perfused compartments) to analyse the relationship between inspired oxygen (FIO2) and arterial oxygen saturation (SaO2) in terms of pulmonary shunt and ventilation-perfusion ratio (V-A/Q). The program was tested using 24 exact datasets, each with six pairs of FIO2 and SaO2 data points with known V-A/Q and shunt, generated by a complex calculator of gas exchange. Additional datasets were created by adding noise and rounding the exact sets, and by reducing the number of data points per dataset. The importance of the oxyhaemoglobin dissociation curve and the arterio-venous difference in oxygen content (avDO(2)) were also tested. Analysis using the three compartment model was more accurate than the two compartment model and less affected by data degradation. The absolute error in shunt estimation was never more than 2.2 % for the exact and rounded datasets, but the error in V-A/Q estimation was -29 to 19 % of the true value (10th-90th centiles). The characteristics of the well-ventilated compartment were not determined accurately. At extremes of cardiac output, an assumed value of avDO(2) resulted in significant errors. It is probably advantageous to correct for foetal haemoglobin in neonatal datasets. Analysis of FIO2 versus SaO2 datasets using a three compartment model provides accurate estimates of shunt and V-A/Q when arterio-venous difference in oxygen content is known. The estimates may have value as objective measures of gas exchange, and as a visual guide for oxygen therapy.
机译:我们描述了一个三室模型(分流和两个灌注室),以分析肺分流和通气-灌注比(V-A / Q)来分析吸入氧(FIO2)和动脉血氧饱和度(SaO2)之间的关系。该程序使用24个精确的数据集进行了测试,每个数据集都有六对FIO2和SaO2数据点,这些数据点具有由复杂的气体交换计算器生成的已知V-A / Q和分流器。通过添加噪声并四舍五入精确集合,并减少每个数据集的数据点数量,可以创建其他数据集。还测试了氧合血红蛋白解离曲线的重要性和动静脉的氧含量差异(avDO(2))。使用三室模型的分析比两室模型更准确,并且受数据降级的影响较小。对于精确和四舍五入的数据集,分流估计中的绝对误差永远不会超过2.2%,但V-A / Q估计中的误差是真实值(第10至90个百分位数)的-29%至19%。通风良好的隔间的特性无法准确确定。在心输出量极端时,假定的avDO(2)值会导致严重误差。在新生儿数据集中校正胎儿血红蛋白可能是有利的。使用三室模型对FIO2与SaO2数据集进行分析,可以在已知氧含量动静脉差异的情况下,准确估算分流和V-A / Q。该估计值可以作为气体交换的客观测量值,以及作为氧气治疗的直观指南。

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