Research and Development Unit, Assaf Harofeh Medical Center, Zerifin, Sackler School of Medicine, Tel-Aviv University, Zerifin, Israel.
Intensive Care Med. 2010 Jun;36(6):984-90. doi: 10.1007/s00134-010-1835-3. Epub 2010 Mar 16.
To evaluate whether the degree of endotracheal tube (ETT) obstruction can be predicted by changes of ETT cuff pressure (P (c)) as a function of peak inspiratory pressure.
The study was conducted in three phases: phase I evaluated the correlation between peak tracheal pressure (P (tr)) and P (c); phase II evaluated the relation between P (c) versus ventilator pressure (P (v)) and ETT obstruction (range of obstruction 0-58%). In phase III the analytical model developed in phase II was used to predict the degree of obstruction of five ETTs removed from intensive care unit (ICU) patients. All measurements were conducted on a tracheal-lung simulator.
In phases I and II it was found that P (c) correlates significantly with P (tr). The gradient (dP (c)/dP (v)) reflects the degree of ETT obstruction according to the formula: obstruction (%) = -553 x (dP (c)/dP (v))(2) + 672.5 x (dP (c)/dP (v)) - 142.81. Using this formula, the degree of obstruction of the ETTs could be predicted in ICU patients during controlled mechanical ventilation (r (2) = 0.98, p < 0.001).
This study proposes a new method to predict the degree of ETT obstruction based on differences between P (c) and P (v). The method was proved accurate on simulator, and further studies are needed on intubated patients.
评估在机械通气时,通过观察气管导管套囊压力(P(c))随吸气峰压变化的情况,能否预测气管导管阻塞的程度。
研究共分三个阶段:第一阶段,评估气道峰压(P(tr))与 P(c)之间的相关性;第二阶段,评估 P(c)与呼吸机压力(P(v))和气管导管阻塞(阻塞范围 0-58%)之间的关系。在第三阶段,利用第二阶段建立的分析模型,预测从重症监护病房(ICU)患者中取出的五根气管导管的阻塞程度。所有测量均在气管-肺模拟器上进行。
在第一和第二阶段发现,P(c)与 P(tr)显著相关。梯度(dP(c)/dP(v))根据公式反映气管导管的阻塞程度:阻塞(%)=-553 x (dP(c)/dP(v))(2)+672.5 x (dP(c)/dP(v))-142.81。使用该公式,可在 ICU 患者接受机械通气控制时预测气管导管的阻塞程度(r(2)=0.98,p<0.001)。
本研究提出了一种基于 P(c)与 P(v)差异来预测气管导管阻塞程度的新方法。该方法在模拟器上得到了验证,需要进一步在插管患者中进行研究。