Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Dec 23;5(4):00160-2019.
doi: 10.1183/23120541.00160-2019. eCollection 2019 Oct.

Comparison of oscillometry devices using active mechanical test loads

Affiliations

Comparison of oscillometry devices using active mechanical test loads

Ronald J Dandurand et al. ERJ Open Res. .

Abstract

Noninvasiveness, low cooperation demand and the potential for detailed physiological characterisation have promoted the use of oscillometry in the assessment of lung function. However, concerns have been raised about the comparability of measurement outcomes delivered by the different oscillometry devices. The present study compares the performances of oscillometers in the measurement of mechanical test loads with and without simulated breathing. Six devices (five were commercially available and one was custom made) were tested with mechanical test loads combining resistors (R), gas compliances (C) and a tube inertance (L), to mimic respiratory resistance (R rs) and reactance (X rs) spectra encountered in clinical practice. A ventilator was used to simulate breathing at tidal volumes of 300 and 700 mL at frequencies of 30 and 15 min-1, respectively. Measurements were evaluated in terms of R, C, L, resonance frequency (f res), reactance area (AX ) and resistance change between 5 and 20 or 19 Hz (R 5-20(19)). Increasing test loads caused progressive deviations in R rs and X rs from calculated values at various degrees in the different oscillometers. While mean values of R rs were recovered acceptably, some devices exhibited serious distortions in the frequency dependences of R rs and X rs, leading to large errors in C, L, f res, AX and R 5-20(19). The results were largely independent of the simulated breathing. Simplistic calibration procedures and mouthpiece corrections, in addition to unknown instrumental and signal processing factors, may be responsible for the large differences in oscillometry measures. Rigorous testing and ongoing harmonisation efforts are necessary to better exploit the diagnostic and scientific potential of oscillometry.

PubMed Disclaimer

Conflict of interest statement

Conflict of interest: R.J. Dandurand reports that he is a 15% shareholder in SpiroTech Medical Inc., which holds the patent for a novel device for the home monitoring of respiratory system resistance; and unrestricted educational grants from AstraZeneca, Boehringer Ingelheim, Novartis, Pfizer and Teva Pharma, outside the submitted work. Conflict of interest: J-P. Lavoie has nothing to disclose. Conflict of interest: L.C. Lands has nothing to disclose. Conflict of interest: Z. Hantos reports that he is named as an inventor on a patent owned by the Telethon Kids Institute entitled “A method of diagnosing a respiratory disease or disorder or monitoring treatment of same and a device for use therein” (Australian patent application number 2005903034). The techniques used in this study are broadly consistent with this patent. He receives no royalties from, nor has he any royalty agreement with, the Telethon Kids Institute under this patent. He also has a consultancy agreement with Thorasys Medical Systems, Inc., which is unrelated to the subject of the present study and was established after the present study was performed.

Figures

FIGURE 1
FIGURE 1
Schematic arrangement of the mechanical test loads.
FIGURE 2
FIGURE 2
Representative tracing of pressure, flow and volume (blue) signals with “intra-breath” resistance (black) and reactance (red) computed at an 11-Hz oscillation frequency in test load M2.
FIGURE 3
FIGURE 3
Impedance measurements in the mechanical test loads a) M1 and b) M6.
FIGURE 4
FIGURE 4
Values of a) resistance (R), b) compliance (C), c) inertance (L) and d) the fitting error (F) obtained from model fitting to impedance data measured in the mechanical test loads M1–M6, with the different devices and modes. Horizontal lines indicate values from fitting to calculated impedances. #: C>0.06 L·hPa−1.
FIGURE 5
FIGURE 5
Values of a) resonance frequency (fres), b) reactance area (AX) and c) the frequency dependence of resistance (R5–20(19)) calculated from impedance data measured in the mechanical test loads M1–M6 with the different devices and modes. Horizontal lines indicate values obtained from the calculated impedance data. Zero crossing of reactance occurred below (#) or above the measured frequency range ().

Comment in

References

    1. Wesseling G, Quaedvlieg FCM, Wouters EFM. Oscillatory mechanics of the respiratory system in neuromuscular disease. Chest 1992; 102: 1752–1757. - PubMed
    1. Beydon N, Davis SD, Lombardi E, et al. . An official American Thoracic Society/European Respiratory Society statement: pulmonary function testing in preschool children. Am J Respir Crit Care Med 2007; 175: 1304–1345. - PubMed
    1. Guo YF, Herrmann F, Michel JP, et al. . Normal values for respiratory resistance using forced oscillation in subjects >65 years old. Eur Respir J 2005; 26: 602–608. - PubMed
    1. Janssens JP, Nguyen MC, Herrmann FR, et al. . Diagnostic value of respiratory impedance measurements in elderly subjects. Respir Med 2001; 95: 415–422. - PubMed
    1. Oostveen E, MacLeod D, Lorino H, et al. . The forced oscillation technique in clinical practice: methodology, recommendations and future developments. Eur Respir J 2003; 22: 1026–1041. - PubMed

LinkOut - more resources