A method for analysis of pulmonary arterial and venous occlusion data

S. H. Audi, C. A. Dawson*, J. H. Linehan

*Corresponding author for this work

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Recently, we presented a compartmental model of the pulmonary vascular resistance (R) and compliance (C) distribution with the configuration C1R1C2R2C3 (J. Appl. Physiol. 70: 2126-2136, 1991). This model was used to interpret the pressure vs. time data obtained after the sudden occlusion of the arterial inflow (AO), venous outflow (VO), or both inflow and outflow (DO) from an isolated dog lung lobe. In the present study, we present a new approach to the data analysis in terms of this model that is relatively simple to carry out and more robust. The data used to estimate the R's and C's are the steady-state arterial [Pa(0)] and venous [Pv(0)] pressures, the flow rate (Q̇), the area (A2) encompassed by Pa(t) after AO and the equilibrium pressure (Pd) after DO, and the average slope (m) of the Pa(t) and Pv(t) curves after VO. The following formulas can then be used to calculate the 2 R's and 3 C's: [Pa(0) - Pv(0)]/Q̇ = R1 + R2 = RT, R1C1 ≃ A2/[Pa(0) - Pd], R1 ≃ [Pa(0) - Pd]/Q̇, Q̇/m = C1 + C2 + C3 = CT, and C2 = CT - (RTC1/R2).

Original languageEnglish (US)
Pages (from-to)1190-1195
Number of pages6
JournalJournal of applied physiology
Volume73
Issue number3
DOIs
StatePublished - 1992

Keywords

  • isolated dog lung
  • mathematical model
  • vascular compliance
  • vascular resistance

ASJC Scopus subject areas

  • Physiology
  • Physiology (medical)

Fingerprint Dive into the research topics of 'A method for analysis of pulmonary arterial and venous occlusion data'. Together they form a unique fingerprint.

  • Cite this