Suarez-Sipmann Fernando, Böhm Stephan H, Tusman Gerardo, Pesch Tanja, Thamm Oliver, Reissmann Hajo, Reske Andreas, Magnusson Anders, Hedenstierna Göran
Intensive Care Unit, Fundación Jiménez Díaz-Capio, Avenida de los Reyes Católicos 2, 28010 Madrid, Spain.
Crit Care Med. 2007 Jan;35(1):214-21. doi: 10.1097/01.CCM.0000251131.40301.E2.
We tested whether the continuous monitoring of dynamic compliance could become a useful bedside tool for detecting the beginning of collapse of a fully recruited lung.
Prospective laboratory animal investigation.
Clinical physiology research laboratory, University of Uppsala, Sweden.
Eight pigs submitted to repeated lung lavages.
Lung recruitment maneuver, the effect of which was confirmed by predefined oxygenation, lung mechanics, and computed tomography scan criteria, was followed by a positive end-expiratory pressure (PEEP) reduction trial in a volume control mode with a tidal volume of 6 mL/kg. Every 10 mins, PEEP was reduced in steps of 2 cm H2O starting from 24 cm H2O. During PEEP reduction, lung collapse was defined by the maximum dynamic compliance value after which a first measurable decrease occurred. Open lung PEEP according to dynamic compliance was then defined as the level of PEEP before the point of collapse. This value was compared with oxygenation (Pao2) and CT scans.
Pao2 and dynamic compliance were monitored continuously, whereas computed tomography scans were obtained at the end of each pressure step. Collapse defined by dynamic compliance occurred at a PEEP of 14 cm H2O. This level coincided with the oxygenation-based collapse point when also shunt started to increase and occurred one step before the percentage of nonaerated tissue on the computed tomography exceeded 5%. Open lung PEEP was thus at 16 cm H2O, the level at which oxygenation and computed tomography scan confirmed a fully open, not yet collapsed lung condition.
In this experimental model, the continuous monitoring of dynamic compliance identified the beginning of collapse after lung recruitment. These findings were confirmed by oxygenation and computed tomography scans. This method might become a valuable bedside tool for identifying the level of PEEP that prevents end-expiratory collapse.
我们测试了动态顺应性的连续监测能否成为检测完全复张肺开始萎陷的有用床边工具。
前瞻性实验室动物研究。
瑞典乌普萨拉大学临床生理学研究实验室。
八头接受反复肺灌洗的猪。
进行肺复张操作,其效果通过预定义的氧合、肺力学和计算机断层扫描标准得到证实,随后在潮气量为6 mL/kg的容量控制模式下进行呼气末正压(PEEP)降低试验。每10分钟,从24 cm H₂O开始以2 cm H₂O的步长降低PEEP。在降低PEEP期间,肺萎陷由首次出现可测量下降之前的最大动态顺应性值定义。然后将根据动态顺应性确定的开放肺PEEP定义为萎陷点之前的PEEP水平。将该值与氧合(Pao₂)和计算机断层扫描进行比较。
连续监测Pao₂和动态顺应性,而在每个压力步骤结束时进行计算机断层扫描。由动态顺应性定义的萎陷发生在PEEP为14 cm H₂O时。该水平与基于氧合的萎陷点一致,此时分流也开始增加,并且在计算机断层扫描上非通气组织百分比超过5%之前一步出现。因此开放肺PEEP为16 cm H₂O,在该水平氧合和计算机断层扫描证实肺处于完全开放、尚未萎陷的状态。
在该实验模型中,动态顺应性的连续监测确定了肺复张后萎陷的开始。这些发现通过氧合和计算机断层扫描得到证实。该方法可能成为确定防止呼气末萎陷的PEEP水平的有价值的床边工具。