A mathematical model approach quantifying patients' response to changes in mechanical ventilation: Evaluation in pressure support

S. Larraza, N. Dey, D.S. Karbing, J.B. Jensen, M. Nygaard, R. Winding, S.E. Rees

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Purpose: This article evaluates how mathematical models of gas exchange, blood acid-base status, chemical respiratory drive, and muscle function can describe the respiratory response of spontaneously breathing patients to different levels of pressure support. Methods: The models were evaluated with data from 12 patients ventilated in pressure support ventilation. Models were tuned with clinical data (arterial blood gas measurement, ventilation, and respiratory gas fractions of O 2 and CO 2) to describe each patient at the clinical level of pressure support. Patients were ventilated up to 5 different pressure support levels, for 15 minutes at each level to achieve steady-state conditions. Model-simulated values of respiratory frequency (fR), arterial pH (pHa), and end-tidal CO 2 (FeCO 2) were compared to measured values at each pressure support level. Results: Model simulations compared well to measured data with Bland-Altman bias and limits of agreement of fR of 0.7 ± 2.2 per minute, pHa of -0.0007 ± 0.019, and FeCO 2 of -0.001 ± 0.003. Conclusion: The models describe patients' fR, pHa, and FeCO 2 response to changes in pressure support with low bias and narrow limits of agreement.

Original languageEnglish
Pages (from-to)1008-1015
Number of pages8
JournalJournal of Critical Care
Volume30
Issue number5
DOIs
Publication statusPublished - 1 Oct 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Inc.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

All Science Journal Classification (ASJC) codes

  • Critical Care and Intensive Care Medicine

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