About: Computational Simulation to Assess Patient Safety of Uncompensated COVID-19 Two-patient Ventilator Sharing Using the Pulse Physiology Engine

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About: Computational Simulation to Assess Patient Safety of Uncompensated COVID-19 Two-patient Ventilator Sharing Using the Pulse Physiology Engine Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Computational Simulation to Assess Patient Safety of Uncompensated COVID-19 Two-patient Ventilator Sharing Using the Pulse Physiology Engine
Creator	Mehta, Yatin Asare, Philip Bray, Aaron Clipp, Rachel Mark Poler, S Patel, Aalpen Penupolu, Sudheer Webb, Jeffrey
source	MedRxiv
abstract	Background: The COVID-19 pandemic is stretching medical resources internationally, including creating ventilator shortages that complicate clinical and ethical situations. The possibility of needing to ventilate multiple patients with a single ventilator raises patient health and safety concerns. This simulation study explores patient compatibility and ventilator settings during multi-patient ventilation without the use of flow compensating resistances. Methods: A whole-body computational physiology model was used to simulate each patient on a ventilator. The primary model of a single patient with a dedicated ventilator was augmented to model two patients sharing a single ventilator. A range of ventilator settings and patient characteristics were simulated for paired patients. In addition to mechanical ventilation parameters, the full physiological simulation provides estimates of additional values for oxyhemoglobin saturation, arterial oxygen tension, and other patient parameters. Findings: These simulations show patient outcome during multi-patient ventilation is most closely correlated to lung compliance, oxygenation index, oxygen saturation index, and endtidal carbon dioxide of individual patients. The simulated patient outcome metrics were satisfactory when the lung compliance difference between two patients was less than 12 cmH2O/mL, and the oxygen saturation index difference was less than 2 mmHg. Interpretation: In resource-limited regions of the world, the COVID-19 pandemic will result in equipment shortages. While single-patient ventilation is preferable, if unavailable, these simulations provide a conceptual framework for clinical patient selection guidelines if ventilator sharing is the only available alternative.
has issue date	2020-05-26(xsd:dateTime)
bibo:doi	10.1101/2020.05.19.20107201
has license	medrxiv
sha1sum (hex)	6adbe7c15271aa0245748a275824ceb5952a264a
schema:url	https://doi.org/10.1101/2020.05.19.20107201
resource representing a document's title	Computational Simulation to Assess Patient Safety of Uncompensated COVID-19 Two-patient Ventilator Sharing Using the Pulse Physiology Engine
resource representing a document's body	covid:6adbe7c15271aa0245748a275824ceb5952a264a#body_text
is schema:about of	named entity 'COMPUTATIONAL SIMULATION' named entity 'ARDS' named entity 'mechanical ventilation' named entity 'F-test' named entity 'lung compliance' named entity 'Positive End Expiratory Pressure' named entity 'Las Vegas' named entity 'mmHg' named entity 'gas exchange' named entity 'flow resistance' named entity 'respiratory rate' named entity 'CC-BY 4.0 International license' named entity 'differential equations' named entity 'differential equations' named entity 'peer review' named entity 'oxygen saturation' named entity 'ventilator' named entity 'lung' named entity 'diffusion' named entity 'anesthesia machines' named entity 'physiology' named entity 'respiratory mechanics' named entity 'oxygen' named entity 'ventilator' named entity 'ventilator' named entity 'computational simulation' named entity 'Mount Sinai' named entity 'open-source' named entity 'hypoxemia' named entity 'COVID-19' named entity 'BiPAP' named entity 'medRxiv' named entity 'computational simulation' named entity 'ventilator' named entity 'lungs' named entity 'medRxiv' named entity 'CC-BY 4.0 International license' named entity 'ventilator settings' named entity 'COVID-19' named entity 'B-spline' named entity 'mmHg' named entity 'carbon dioxide' named entity 'physiological parameters' named entity 'patient compliance' named entity 'open source software' named entity 'Alveolar' named entity 'PPMCC' named entity 'clinical studies' named entity 'computational model' named entity 'COVID-19' named entity 'tidal volume' named entity 'Ty Smith' named entity 'decision matrix' named entity 'ventilator' named entity 'ventilator' named entity 'parameter space' named entity 'kernel density estimation' named entity 'clinical practice' named entity 'Kitware' named entity 'ventilator' named entity 'empirical data' named entity 'lung' named entity 'lung' named entity 'ICU' named entity 'Chatburn' named entity 'ventilator' named entity 'circuit analysis' named entity 'mechanical ventilation' named entity 'hyperoxia' named entity 'Las Vegas' named entity 'ventilator settings' named entity 'lung' named entity 'breathing apparatus' named entity 'medical equipment' named entity 'arterial partial pressure of oxygen' named entity 'physiological parameters' named entity 'laboratory testing' named entity 'lung compliance'

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