首页> 外文期刊>Journal of clinical monitoring and computing >The automatic lung parameter estimator (ALPE) system: non-invasive estimation of pulmonary gas exchange parameters in 10-15 minutes.
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The automatic lung parameter estimator (ALPE) system: non-invasive estimation of pulmonary gas exchange parameters in 10-15 minutes.

机译:自动肺参数估计器(ALPE)系统:在10-15分钟内无创估计肺气体交换参数。

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OBJECTIVE: Clinical measurements of pulmonary gas exchange abnormalities might help prevent hypoxaemia and be useful in monitoring the effects of therapy. In clinical practice single parameters are often used to describe the abnormality e.g., the "effective shunt." A single parameter description is often insufficient, lumping the effects of several abnormalities. A more detailed picture can be obtained from experiments where FiO2 is varied and two parameters estimated. These experiments have previously taken 30-40 minutes to complete, making them inappropriate for routine clinical use. However with automation of data collection and parameter estimation, the experimental time can be reduced to 10-15 minutes. METHODS: A system has been built for non-invasive, Automatic, Lung Parameter Estimation (ALPE). This system consists of a ventilator, a gas analyser with pulse oximeter, and a computer. Computer programs control the experimental procedure, collect data from the ventilator and gas analyser, and estimate pulmonary gas exchange parameters. Use of the ALPE system, i.e. in estimating gas exchange parameters and reducing experimental time, has been tested on five normal subjects, two patients before and during diuretic therapy, and on 50 occasions in patients before and after surgical intervention. RESULTS: The ALPE system provides estimation of pulmonary gas exchange parameters from a simple, clinical, non-invasive procedure, automatically and quickly. For normal subjects and in patients receiving diuretic therapy, data collection by clinicians familiar with ALPE took (mean +/- SD) 13 min 40 sec +/- 1 min 23 sec. For studies on patients before and after surgery, data collection by an intensive care nurse took (mean +/- SD) 10 min 47 sec +/- 2 min 14 sec. Parameter estimates were: for normal subjects, shunt = 4.95% +/- 2.64% and fA2 = 0.89 +/- 0.01; for patients with heart failure prior to diuretic therapy, patient 1, shunt = 11.50% fA2 = 0.41, patient 2 shunt = 11.61% fA2 = 0.55; and during therapy: patient 1, shunt = 11.51% fA2 = 0.71, patient 2, shunt = 11.22% fA2 = 0.49. CONCLUSIONS: The ALPE system provides quick, non-invasive estimation of pulmonary gas exchange parameters and may have several clinical applications. These include, monitoring pulmonary gas exchange abnormalities in the ICU, assessing post-operative gas exchange abnormalities, and titrating diuretic therapy in patients with heart failure.
机译:目的:临床测量肺气体交换异常可能有助于预防低氧血症,并有助于监测治疗效果。在临床实践中,通常使用单个参数来描述异常,例如“有效分流”。单个参数的描述通常是不够的,将几个异常的影响混为一谈。可以从实验中获得更详细的图片,其中改变FiO2并估算两个参数。这些实验以前需要30-40分钟才能完成,因此不适合常规临床使用。但是,随着数据收集和参数估计的自动化,实验时间可以减少到10-15分钟。方法:已经建立了一个用于非侵入性自动肺参数估计(ALPE)的系统。该系统由呼吸机,带脉搏血氧仪的气体分析仪和计算机组成。计算机程序控制实验程序,从呼吸机和气体分析仪收集数据,并估计肺部气体交换参数。已经在五个正常受试者,利尿剂治疗前后的两名患者以及手术干预前后的50次患者中测试了ALPE系统的使用,即用于估计气体交换参数和减少实验时间。结果:ALPE系统可以自动,快速,简单,临床,无创地评估肺气体交换参数。对于正常受试者和接受利尿剂治疗的患者,熟悉ALPE的临床医生收集数据(平均+/- SD)花费13分钟40秒+/- 1分钟23秒。对于手术前后的患者研究,由重症监护护士收集(平均+/- SD)数据10分钟47秒+/- 2分钟14秒。参数估计为:对于正常受试者,分流= 4.95%+/- 2.64%,fA2 = 0.89 +/- 0.01;对于利尿剂治疗前有心力衰竭的患者,患者1,分流= 11.50%fA2 = 0.41,患者2分流= 11.61%fA2 = 0.55;在治疗期间:患者1,分流= 11.51%fA2 = 0.71,患者2,分流= 11.22%fA2 = 0.49。结论:ALPE系统可快速,无创地估计肺气体交换参数,并且可能具有多种临床应用。这些措施包括监测ICU中的肺部气体交换异常,评估术后气体交换异常以及对心力衰竭患者的利尿剂滴定治疗。

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