Nikischin W, Gerhardt T, Everett R, Bancalari E
Division of Neonatology, Department of Pediatrics, University of Miami School of Medicine, Miami, Florida, USA.
Am J Respir Crit Care Med. 1998 Oct;158(4):1052-60. doi: 10.1164/ajrccm.158.4.9801011.
Changes in dynamic lung compliance during inspiration and expiration cannot be modeled accurately with conventional algorithms. We developed a simple method to analyze pressure-volume (P/V) relationships under condition of nonlinearity (APVNL) and tested it in a lung model with known resistance and nonlinear P/V relationship. In addition, pulmonary mechanics in 22 infants, 11 of them with nonlinear P/V relationships, were analyzed with the new method. The findings were compared with those obtained by a recently introduced algorithm, multiple linear regression analysis (MLR) of the equation of motion. The APVNL method described the changing compliance (C) of the lung model accurately, whereas the MLR method underestimated C especially in the first half of the breath. In infants the MLR method gave highly variable, often nonphysiological C values in the beginning of a breath. In contrast, the coefficient of variability of measurements obtained by the APVNL method was significantly smaller (p < 0.02), and the indices of model-fit showed better agreement between calculated and observed pressure than for the MLR method (p < 0.02). We conclude that the APVNL method accurately describes nonlinear P/V relationships present during spontaneous breathing or mechanical ventilation. The method may be helpful in identifying and preventing pulmonary overdistention.
传统算法无法准确模拟吸气和呼气过程中肺动态顺应性的变化。我们开发了一种简单的方法来分析非线性条件下的压力-容积(P/V)关系(APVNL),并在具有已知阻力和非线性P/V关系的肺模型中进行了测试。此外,用这种新方法分析了22例婴儿的肺力学情况,其中11例具有非线性P/V关系。将结果与最近引入的一种算法——运动方程的多元线性回归分析(MLR)所得到的结果进行了比较。APVNL方法准确地描述了肺模型中变化的顺应性(C),而MLR方法低估了C,尤其是在呼吸的前半段。在婴儿中,MLR方法在呼吸开始时给出的C值变化很大,且常常不符合生理情况。相比之下,APVNL方法获得的测量值的变异系数显著更小(p < 0.02),并且模型拟合指数显示,与MLR方法相比,计算压力与观察压力之间的一致性更好(p < 0.02)。我们得出结论,APVNL方法准确地描述了自主呼吸或机械通气过程中存在的非线性P/V关系。该方法可能有助于识别和预防肺过度膨胀。