A new method to analyze lung compliance when pressure-volume relationship is nonlinear

Werner Nikischin, Tilo Gerhardt, Ruth Everett-Thomas, Eduardo Bancalari

Research output: Contribution to journalArticle

32 Citations (Scopus)

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 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.

Original languageEnglish
Pages (from-to)1052-1060
Number of pages9
JournalAmerican Journal of Respiratory and Critical Care Medicine
Volume158
Issue number4
StatePublished - Nov 7 1998

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Lung Compliance
Pressure
Linear Models
Regression Analysis
Lung
Mechanics
Artificial Respiration
Respiration

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

Cite this

A new method to analyze lung compliance when pressure-volume relationship is nonlinear. / Nikischin, Werner; Gerhardt, Tilo; Everett-Thomas, Ruth; Bancalari, Eduardo.

In: American Journal of Respiratory and Critical Care Medicine, Vol. 158, No. 4, 07.11.1998, p. 1052-1060.

Research output: Contribution to journalArticle

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