Abstract
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 themwith nonlinear P/V relationships, were analyzed with the new method. The findings were comparedwith those obtained by a recently introduced algorithm, multiple linear regression analysis (MLR) ofthe equation of motion. The APVNL method described the changing compliance (C) of the lungmodel accurately, whereas the MLR method underestimated C especially in the first half of thebreath. In infants the MLR method gave highly variable, often nonphysiological C values in the begin-ning of a breath. In contrast, the coefficient of variability of measurements obtained by the APVNLmethod was significantly smaller (p < 0.02), and the indices of model-fit showed better agreementbetween calculated and observed pressure than for the MLR method (p < 0.02). We conclude that theAPVNL 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.
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