Literature DB >> 35256870

Differential Pressure Spirometry for Mechanical Ventilation Using Dichotomic Search.

Noe A Rodriguez-Olivares1,2,3, Luciano Nava-Balanzar1, Leonardo Barriga-Rodriguez1.   

Abstract

In invasive mechanical ventilation (IMV), it is critical that the flow value is estimated correctly, as it is used as a trigger variable for ventilatory assistance. Furthermore, the numerical integration of the flow allows the calculation of the total volume per breath (tidal volume), which clinicians use to identify trauma or lung capacity in the patient. The current COVID-19 pandemic has demonstrated the need to develop safe and efficient techniques for measuring this spirometry variable because many mechanical ventilators delivered to hospitals were unable to measure it directly. A good device to estimate flow is a D-lite sensor, which works by the Venturi effect, is cheap, reusable, and proximal to the patient. However, the regressions applied to the flow estimation model are limited for use in real conditions. This article presents a flow estimation method that uses a D-Lite device, a fraction of inspired oxygen (FiO2) cell, and two pressure sensors as critical items. Our novel method adapts the dichotomous search algorithm instead of conventional regression algorithms to estimate flow using a D-lite sensor; this change in the standard procedure allowed us a fast calibration process, a good low-flow estimation, and low computational time for flow estimation. The method was validated experimentally to compute the tidal volume according to the measurement requirement error range of +/-10%. The consideration of FiO2 percentage in the gas mixture and the good low-flow estimation make this novel method useful for real ventilation conditions. The flow calculations have been performed at different ambient conditions and compared with gas analyzers show an average relative error of up to 4.86%. Finally, we present an analysis of the error flow estimation considering the variation in each variable. Technical recommendations for applying this novel method to achieve IMV safely are presented, based on the capabilities of the embedded system used by developers.

Entities:  

Keywords:  Binary search algorithm; COVID-19; D-lite; FiO₂; dichotomic search; flow estimation; mechanical ventilation; spirometry; tidal volume; venturi

Year:  2021        PMID: 35256870      PMCID: PMC8769036          DOI: 10.1109/TIM.2021.3116307

Source DB:  PubMed          Journal:  IEEE Trans Instrum Meas        ISSN: 0018-9456            Impact factor:   4.016


  19 in total

1.  History of Mechanical Ventilation. From Vesalius to Ventilator-induced Lung Injury.

Authors:  Arthur S Slutsky
Journal:  Am J Respir Crit Care Med       Date:  2015-05-15       Impact factor: 21.405

Review 2.  Transpulmonary pressure: importance and limits.

Authors:  Domenico Luca Grieco; Lu Chen; Laurent Brochard
Journal:  Ann Transl Med       Date:  2017-07

3.  A novel sensor for routine continuous spirometry of intubated patients.

Authors:  P Meriläinen; H Hänninen; L Tuomaala
Journal:  J Clin Monit       Date:  1993-11

Review 4.  Mechanical Ventilation: State of the Art.

Authors:  Tài Pham; Laurent J Brochard; Arthur S Slutsky
Journal:  Mayo Clin Proc       Date:  2017-09       Impact factor: 7.616

Review 5.  Intraoperative mechanical ventilation: state of the art.

Authors:  Lorenzo Ball; Federico Costantino; Giulia Orefice; Karthikka Chandrapatham; Paolo Pelosi
Journal:  Minerva Anestesiol       Date:  2017-05-19       Impact factor: 3.051

6.  Evaluation of a Pitot type spirometer in helium/oxygen mixtures.

Authors:  S Søndergaard; S Kárason; S Lundin; O Stenqvist
Journal:  J Clin Monit Comput       Date:  1998-08       Impact factor: 2.502

Review 7.  The POOR Get POORer: A Hypothesis for the Pathogenesis of Ventilator-induced Lung Injury.

Authors:  Donald P Gaver; Gary F Nieman; Louis A Gatto; Maurizio Cereda; Nader M Habashi; Jason H T Bates
Journal:  Am J Respir Crit Care Med       Date:  2020-10-15       Impact factor: 21.405

Review 8.  Evolving concepts for safer ventilation.

Authors:  John J Marini
Journal:  Crit Care       Date:  2019-06-14       Impact factor: 9.097

Review 9.  Mechanical ventilation parameters in critically ill COVID-19 patients: a scoping review.

Authors:  Giacomo Grasselli; Emanuele Cattaneo; Gaetano Florio; Mariachiara Ippolito; Alberto Zanella; Andrea Cortegiani; Jianbo Huang; Antonio Pesenti; Sharon Einav
Journal:  Crit Care       Date:  2021-03-20       Impact factor: 9.097

10.  Joint analysis of duration of ventilation, length of intensive care, and mortality of COVID-19 patients: a multistate approach.

Authors:  Derek Hazard; Klaus Kaier; Maja von Cube; Marlon Grodd; Lars Bugiera; Jerome Lambert; Martin Wolkewitz
Journal:  BMC Med Res Methodol       Date:  2020-08-11       Impact factor: 4.615

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