Blanch L, Fernandez R, Saura P, Baigorri F, Artigas A
Intensive Care Service, Hospital de Sabadell, Barcelona, Spain.
Chest. 1994 Jan;105(1):219-23. doi: 10.1378/chest.105.1.219.
To examine the relationship of expired capnograms and respiratory system resistance (Rrs) in intubated critically ill patients, we consecutively studied 41 mechanically ventilated patients to (1) analyze the association between expired CO2 slope and auto-positive end-expiratory pressure (auto-PEEP), between Rrs and auto-PEEP, between Rrs and expired CO2 slope, and between Rrs and arterial minus end-tidal PCO2 gradient (PaCO2-PETCO2 gradient) and (2) to investigate the capacity of the expired CO2 slope and PaCO2-PETCO2 gradient to predict Rrs during mechanical ventilation. Regression analysis found a close correlation between Rrs and expired CO2 slope (r = 0.86; p < 0.001), between Rrs and auto-PEEP (r = 0.75; p < 0.001), and between auto-PEEP and expired CO2 slope (r = 0.74; p < 0.001). Weak correlation was found between Rrs and PaCO2-PETCO2 gradient (r = 0.48; p < 0.01). Prediction interval limits at 95 percent confidence level for Rrs are approximately +/- 7.39 cm H2O/L/s from the predicted value obtained by the regression equation, where Rrs = 11.42 + 2.28 expired CO2 slope. These observations suggest that CO2 elimination in critically ill patients is strongly modulated by lung, airway, endotracheal tube, and ventilator equipment resistances. Although continuous capnogram waveform monitoring at the bedside might be useful to assess Rrs, very accurate predictions could be done only in determinate patients.
为研究气管插管的重症患者呼气二氧化碳图与呼吸系统阻力(Rrs)之间的关系,我们连续纳入41例机械通气患者,以(1)分析呼气二氧化碳斜率与内源性呼气末正压(auto-PEEP)之间、Rrs与auto-PEEP之间、Rrs与呼气二氧化碳斜率之间以及Rrs与动脉血二氧化碳分压减去呼气末二氧化碳分压梯度(PaCO2-PETCO2梯度)之间的相关性,(2)研究呼气二氧化碳斜率和PaCO2-PETCO2梯度预测机械通气期间Rrs的能力。回归分析发现,Rrs与呼气二氧化碳斜率之间(r = 0.86;p < 0.001)、Rrs与auto-PEEP之间(r = 0.75;p < 0.001)以及auto-PEEP与呼气二氧化碳斜率之间(r = 0.74;p < 0.001)存在密切相关性。Rrs与PaCO2-PETCO2梯度之间存在弱相关性(r = 0.48;p < 0.01)。根据回归方程Rrs = 11.42 + 2.28×呼气二氧化碳斜率得到的预测值,Rrs在95%置信水平下的预测区间极限约为预测值±7.39 cm H2O/L/s。这些观察结果表明,重症患者的二氧化碳清除受到肺、气道、气管内导管和呼吸机设备阻力的强烈调节。尽管床边连续监测二氧化碳图波形可能有助于评估Rrs,但只有在特定患者中才能做出非常准确的预测。