Literature DB >> 35920951

Non-invasive over-distension measurements: data driven vs model-based.

Qianhui Sun1, J Geoffrey Chase2, Cong Zhou2,3, Merryn H Tawhai4, Jennifer L Knopp2, Knut Möller5, Geoffrey M Shaw6.   

Abstract

Clinical measurements offer bedside monitoring aiming to minimise unintended over-distension, but have limitations and cannot be predicted for changes in mechanical ventilation (MV) settings and are only available in certain MV modes. This study introduces a non-invasive, real-time over-distension measurement, which is robust, predictable, and more intuitive than current methods. The proposed over-distension measurement, denoted as OD, is compared with the clinically proven stress index (SI). Correlation is analysed via R2 and Spearman rs. The OD safe range corresponding to the unit-less SI safe range (0.95-1.05) is calibrated by sensitivity and specificity test. Validation is fulfilled with 19 acute respiratory distress syndrome (ARDS) patients data (196 cases), including assessment across ARDS severity. Overall correlation between OD and SI yielded R2 = 0.76 and Spearman rs = 0.89. Correlation is higher considering only moderate and severe ARDS patients. Calibration of OD to SI yields a safe range defined: 0 ≤ OD ≤ 0.8 cmH2O. The proposed OD offers an efficient, general, real-time measurement of patient-specific lung mechanics, which is more intuitive and robust than SI. OD eliminates the limitations of SI in MV mode and its less intuitive lung status value. Finally, OD can be accurately predicted for new ventilator settings via its foundation in a validated predictive personalized lung mechanics model. Therefore, OD offers potential clinical value over current clinical methods.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Acute respiratory distress syndrome; Monitoring; Over-distension; Pressure–volume loop; Respiratory mechanics; Stress index

Year:  2022        PMID: 35920951     DOI: 10.1007/s10877-022-00900-7

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   1.977


  24 in total

Review 1.  What has computed tomography taught us about the acute respiratory distress syndrome?

Authors:  L Gattinoni; P Caironi; P Pelosi; L R Goodman
Journal:  Am J Respir Crit Care Med       Date:  2001-11-01       Impact factor: 21.405

Review 2.  Monitoring respiration: what the clinician needs to know.

Authors:  Lorenzo Ball; Yuda Sutherasan; Paolo Pelosi
Journal:  Best Pract Res Clin Anaesthesiol       Date:  2013-06

Review 3.  Driving pressure and mechanical power: new targets for VILI prevention.

Authors:  Tommaso Tonetti; Francesco Vasques; Francesca Rapetti; Giorgia Maiolo; Francesca Collino; Federica Romitti; Luigi Camporota; Massimo Cressoni; Paolo Cadringher; Michael Quintel; Luciano Gattinoni
Journal:  Ann Transl Med       Date:  2017-07

Review 4.  Ventilator-induced lung injury and lung mechanics.

Authors:  Jason H T Bates; Bradford J Smith
Journal:  Ann Transl Med       Date:  2018-10

5.  Driving pressure and survival in the acute respiratory distress syndrome.

Authors:  Marcelo B P Amato; Maureen O Meade; Arthur S Slutsky; Laurent Brochard; Eduardo L V Costa; David A Schoenfeld; Thomas E Stewart; Matthias Briel; Daniel Talmor; Alain Mercat; Jean-Christophe M Richard; Carlos R R Carvalho; Roy G Brower
Journal:  N Engl J Med       Date:  2015-02-19       Impact factor: 91.245

6.  Individualized versus Fixed Positive End-expiratory Pressure for Intraoperative Mechanical Ventilation in Obese Patients: A Secondary Analysis.

Authors:  Philipp Simon; Felix Girrbach; David Petroff; Nadja Schliewe; Gunther Hempel; Mirko Lange; Thomas Bluth; Marcelo Gama de Abreu; Alessandro Beda; Marcus J Schultz; Paolo Pelosi; Andreas W Reske; Hermann Wrigge
Journal:  Anesthesiology       Date:  2021-06-01       Impact factor: 7.892

7.  Identifying lung overdistention during mechanical ventilation by using volume-pressure loops.

Authors:  J B Fisher; M C Mammel; J M Coleman; D R Bing; S J Boros
Journal:  Pediatr Pulmonol       Date:  1988

8.  Model-based PEEP optimisation in mechanical ventilation.

Authors:  Yeong Shiong Chiew; J Geoffrey Chase; Geoffrey M Shaw; Ashwath Sundaresan; Thomas Desaive
Journal:  Biomed Eng Online       Date:  2011-12-23       Impact factor: 2.819

Review 9.  Biomedical engineer's guide to the clinical aspects of intensive care mechanical ventilation.

Authors:  Vincent J Major; Yeong Shiong Chiew; Geoffrey M Shaw; J Geoffrey Chase
Journal:  Biomed Eng Online       Date:  2018-11-12       Impact factor: 2.819

10.  Visualisation of time-varying respiratory system elastance in experimental ARDS animal models.

Authors:  Erwin J van Drunen; Yeong Shiong Chiew; Christopher Pretty; Geoffrey M Shaw; Bernard Lambermont; Nathalie Janssen; J Geoffrey Chase; Thomas Desaive
Journal:  BMC Pulm Med       Date:  2014-03-02       Impact factor: 3.317

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