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Managing Patient-Specific Mechanical Ventilation: Clinical Utilisation of Respiratory Elastance (CURE) – Model and Software Development

Authors :
Hamish A. Laing
Faizi Radzi
Sarah F Poole
Daniel P. Redmond
Yeong Shiong Chiew
Nor Salwa Damanhuri
J. Geoffrey Chase
Shaun Davidson
Geoffrey M. Shaw
Richard H. White
Thomas Desaive
Source :
IFAC Proceedings Volumes. 47:3875-3880
Publication Year :
2014
Publisher :
Elsevier BV, 2014.

Abstract

Mechanical ventilation (MV) is one of the most common, but difficult, costly and variably delivered therapies in intensive care. Model-based estimated patient-specific respiratory elastance can be used to guide clinical staff in selecting positive end-expiratory pressure (PEEP) for MV patients. The Clinical Utilisation of Respiratory Elastance (CURE) trial investigates the potential to optimise PEEP in MV patients. A software system, CURE Soft, capable of providing real-time patient-specific respiratory elastance was developed for the purpose of CURE clinical trial. CURE Soft uses airway pressure and flow data from the ventilator to calculate respiratory elastance using a time-varying elastance model. The CURE Soft graphical user interface (GUI) was developed to provide patient-specific respiratory elastance in real time, history and response during a recruitment manoeuvre both of which offer significant clinical insight. CURE Soft was extensively tested on a mechanical test lung to verify the model-based elastance estimation and its robustness. Model fitting errors are low across a range of ventilation modes, showing it can successfully identify respiratory elastance. Real-time monitoring of respiratory elastance enables new insights into patient-specific lung condition, with no added patient burden. The additional insight available to clinicians will provide the information necessary for improved decision-making and patient outcomes.

Details

ISSN :
14746670
Volume :
47
Database :
OpenAIRE
Journal :
IFAC Proceedings Volumes
Accession number :
edsair.doi.dedup.....0bd293f5b39341a2055a98f45c865cae
Full Text :
https://doi.org/10.3182/20140824-6-za-1003.01109