About: In-silico modeling of COVID-19 ARDS: pathophysiological insights and potential management implications

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About: In-silico modeling of COVID-19 ARDS: pathophysiological insights and potential management implications Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	In-silico modeling of COVID-19 ARDS: pathophysiological insights and potential management implications
Creator	Yehya, Nadir Laffey, John Bates, Declan Das, Anup Hardman, Jonathan Scott, Timothy Chikhani, Marc Laviola, Marianna Saffaran, Sina
Source	MedRxiv
abstract	Objectives: Patients with COVID-19 Acute Respiratory Distress Syndrome (CARDS) appear to present with at least two distinct phenotypes: severe hypoxemia with relatively well-preserved lung compliance and lung gas volumes (Type 1) and a more conventional ARDS phenotype displaying the typical characteristics of the baby lung (Type 2). We aimed to test plausible hypotheses regarding the pathophysiological mechanisms underlying CARDS, and to evaluate the resulting implications for ventilatory management. Design: We adapted a high-fidelity computational simulator, previously validated in several studies of ARDS, to (a) develop quantitative insights into the key pathophysiologic differences between CARDS and conventional ARDS, and (b) assess the impact of different PEEP, FiO2 and tidal volume settings. Setting: Interdisciplinary Collaboration in Systems Medicine Research Network. Subjects: The simulator was calibrated to represent CARDS patients with both normal and elevated body mass indices undergoing invasive mechanical ventilation. Measurements and Main Results: An ARDS model implementing disruption of hypoxic pulmonary vasoconstriction and vasodilation leading to hyperperfusion of collapsed lung regions failed to replicate clinical data on Type 1 CARDS patients. Adding mechanisms to reflect disruption of alveolar gas-exchange due to the effects of pneumonitis, and heightened vascular resistance due to the emergence of microthrombi, produced levels of V/Q mismatch and hypoxemia consistent with data from Type 1 CARDS patients, while preserving close to normal lung compliance and gas volumes. Atypical responses to PEEP increments between 5 and 15 cmH2O were observed for this Type 1 CARDS model across a range of measures: increasing PEEP resulted in reduced lung compliance and no improvement in oxygenation, while Mechanical Power, Driving Pressure and Plateau Pressure all increased. FiO2 settings based on ARDSnet protocols at different PEEP levels were insufficient to achieve adequate oxygenation. Incrementing tidal volumes from 5 to 10 ml/kg produced similar increases in multiple indicators of ventilator induced lung injury in the Type 1 CARDS model to those seen in a conventional ARDS model. Conclusions: Our model suggests that use of standard PEEP/ FiO2 tables, higher PEEP strategies, and higher tidal volumes, may all be potentially deleterious in Type 1 CARDS patients, and that a highly personalized approach to treatment is advisable.
has issue date	2020-07-22(xsd:dateTime)
bibo:doi	10.1101/2020.07.21.20158659
has license	medrxiv
sha1sum (hex)	524a96c8a43bee050b478b57571cf5c72395dd73
schema:url	https://doi.org/10.1101/2020.07.21.20158659
resource representing a document's title	In-silico modeling of COVID-19 ARDS: pathophysiological insights and potential management implications
resource representing a document's body	covid:524a96c8a43bee050b478b57571cf5c72395dd73#body_text
is schema:about of	named entity 'mechanisms' named entity 'Interdisciplinary' named entity 'microthrombi' named entity 'pathophysiologic' named entity 'Type' named entity 'volumes' named entity 'reduced' named entity 'typical' named entity 'severe' named entity 'ARDS' named entity 'PRESERVING' named entity 'SETTINGS' named entity 'SYSTEMS MEDICINE' named entity 'MEASUREMENTS' named entity 'ATYPICAL' named entity 'ADDING' named entity 'VOLUMES' named entity 'DISTINCT' named entity 'TIDAL VOLUME' named entity 'POWER' named entity 'HYPOXEMIA' named entity 'ADAPTED' named entity 'INCREASED' named entity 'PREVIOUSLY' named entity 'HIGH' named entity 'oxygenation' named entity 'normal' named entity 'FiO2' named entity 'simulator' named entity 'simulator' named entity 'test' named entity 'Power' named entity 'PEEP' named entity 'baby' named entity 'Measurements' named entity 'Results' named entity 'Type 1' named entity 'alveolar' named entity 'tidal volume' named entity 'CARDS' named entity 'lung' named entity 'invasive mechanical ventilation' named entity 'Systems Medicine' named entity 'ARDS' named entity 'pathophysiological' named entity 'COVID' named entity 'Research' named entity 'Type 1' named entity 'microthrombi' named entity 'thrombosis' named entity 'vascular resistance' named entity 'PEEP' named entity 'Type 1' named entity 'Type 1' named entity 'PEEP' named entity 'clinical experience' named entity 'natural evolution' named entity 'cm H2O' named entity 'cmH2O' named entity 'ARDS' named entity 'co-morbid' named entity 'CARDS' named entity 'exhalation' named entity 'Type 1' named entity 'hypoxemia' named entity 'mathematical function' named entity 'cmH2O' named entity 'V/Q mismatch' named entity 'ARDS' named entity 'tidal volume' named entity 'clinical presentation' named entity 'PEEP' named entity 'vasodilation' named entity 'independent set' named entity 'Type 1' named entity 'BMI' named entity 'lungs'

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