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465. Risk Factors Associated with Critical COVID-19 Requiring Mechanical Ventilation

BACKGROUND: Mechanical ventilation of patients with COVID-19 is associated with high mortality. Understanding risk factors for developing mechanical ventilation may allow for more targeted monitoring and therapeutics that may improve outcomes. METHODS: We performed a retrospective case series of all...

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Autores principales: Chris, Robert B, Khalid, Rabeeya, Ravichandran, Urmila, Acree, Mary Ellen, Grant, Jennifer, Muthiah, Chethra, Shah, Nirav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776428/
http://dx.doi.org/10.1093/ofid/ofaa439.658
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author Chris, Robert B
Khalid, Rabeeya
Ravichandran, Urmila
Acree, Mary Ellen
Grant, Jennifer
Muthiah, Chethra
Shah, Nirav
author_facet Chris, Robert B
Khalid, Rabeeya
Ravichandran, Urmila
Acree, Mary Ellen
Grant, Jennifer
Muthiah, Chethra
Shah, Nirav
author_sort Chris, Robert B
collection PubMed
description BACKGROUND: Mechanical ventilation of patients with COVID-19 is associated with high mortality. Understanding risk factors for developing mechanical ventilation may allow for more targeted monitoring and therapeutics that may improve outcomes. METHODS: We performed a retrospective case series of all patients admitted within thirty days of a positive Sars CoV-2 test to an integrated health system near Chicago, Illinois between March 12 and May 31, 2020. Covariates evaluated included demographics, symptoms on admission, vital signs, medications, comorbidities, census tract data and social history. Univariable analysis was performed and variables with an alpha of 0.05 or less were included in multivariable regression modeling to identify factors associated with mechanical ventilation. The area under the curve (AUC) was used to assess performance of the model. RESULTS: Of 990 patients admitted with COVID-19 12.6% (125) were mechanically ventilated. The median age was 68 (interquartile range 55–82), 48.4% (479) were female and 49.6% (491) were Caucasian. Independent factors associated with mechanical ventilation included female sex (Adjusted OR [AOR] 0.621, Confidence Interval [CI] 0.427–0.903; p=0.0363), body mass index (BMI) (AOR 1.035, CI 1.011–1.060; p=0.0175), percent of english speaking population within patient’s census tract (AOR 0.989, CI 0.979–0.998; p=0.0454), respiratory rate (AOR 1.054, CI 1.027–1.083; p=0.0011), oxygen saturation (AOR 0.922, CI 0.901–0.943; p< 0.0001), cerebrovascular accident (CVA) (AOR 0.176, CI 0.051–0.605; p=0.0207) and hematologic malignancy (AOR 3.668, CI 1.403–9.590; p=0.0261). AUC of the model was 0.8 (0.75–0.84). Characteristics of patients admitted with COVID-19 [Image: see text] Multivariable logistic regression to identify risk factors associated with mechanical ventilation [Image: see text] CONCLUSION: Risk factors associated with mechanical ventilation included male gender, elevated BMI, census tract with lower percentage of english speakers, increased respiratory rate, low oxygen saturation, hematologic malignancy and not having a CVA. We suspect that history of CVA may have been associated with overall patient debility in which aggressive measures such as intubation were not deemed appropriate. Identifying patients with risk factors associated with mechanical ventilation may allow for early and targeted interventions to improve outcomes. DISCLOSURES: All Authors: No reported disclosures
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spelling pubmed-77764282021-01-07 465. Risk Factors Associated with Critical COVID-19 Requiring Mechanical Ventilation Chris, Robert B Khalid, Rabeeya Ravichandran, Urmila Acree, Mary Ellen Grant, Jennifer Muthiah, Chethra Shah, Nirav Open Forum Infect Dis Poster Abstracts BACKGROUND: Mechanical ventilation of patients with COVID-19 is associated with high mortality. Understanding risk factors for developing mechanical ventilation may allow for more targeted monitoring and therapeutics that may improve outcomes. METHODS: We performed a retrospective case series of all patients admitted within thirty days of a positive Sars CoV-2 test to an integrated health system near Chicago, Illinois between March 12 and May 31, 2020. Covariates evaluated included demographics, symptoms on admission, vital signs, medications, comorbidities, census tract data and social history. Univariable analysis was performed and variables with an alpha of 0.05 or less were included in multivariable regression modeling to identify factors associated with mechanical ventilation. The area under the curve (AUC) was used to assess performance of the model. RESULTS: Of 990 patients admitted with COVID-19 12.6% (125) were mechanically ventilated. The median age was 68 (interquartile range 55–82), 48.4% (479) were female and 49.6% (491) were Caucasian. Independent factors associated with mechanical ventilation included female sex (Adjusted OR [AOR] 0.621, Confidence Interval [CI] 0.427–0.903; p=0.0363), body mass index (BMI) (AOR 1.035, CI 1.011–1.060; p=0.0175), percent of english speaking population within patient’s census tract (AOR 0.989, CI 0.979–0.998; p=0.0454), respiratory rate (AOR 1.054, CI 1.027–1.083; p=0.0011), oxygen saturation (AOR 0.922, CI 0.901–0.943; p< 0.0001), cerebrovascular accident (CVA) (AOR 0.176, CI 0.051–0.605; p=0.0207) and hematologic malignancy (AOR 3.668, CI 1.403–9.590; p=0.0261). AUC of the model was 0.8 (0.75–0.84). Characteristics of patients admitted with COVID-19 [Image: see text] Multivariable logistic regression to identify risk factors associated with mechanical ventilation [Image: see text] CONCLUSION: Risk factors associated with mechanical ventilation included male gender, elevated BMI, census tract with lower percentage of english speakers, increased respiratory rate, low oxygen saturation, hematologic malignancy and not having a CVA. We suspect that history of CVA may have been associated with overall patient debility in which aggressive measures such as intubation were not deemed appropriate. Identifying patients with risk factors associated with mechanical ventilation may allow for early and targeted interventions to improve outcomes. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2020-12-31 /pmc/articles/PMC7776428/ http://dx.doi.org/10.1093/ofid/ofaa439.658 Text en © The Author 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Abstracts
Chris, Robert B
Khalid, Rabeeya
Ravichandran, Urmila
Acree, Mary Ellen
Grant, Jennifer
Muthiah, Chethra
Shah, Nirav
465. Risk Factors Associated with Critical COVID-19 Requiring Mechanical Ventilation
title 465. Risk Factors Associated with Critical COVID-19 Requiring Mechanical Ventilation
title_full 465. Risk Factors Associated with Critical COVID-19 Requiring Mechanical Ventilation
title_fullStr 465. Risk Factors Associated with Critical COVID-19 Requiring Mechanical Ventilation
title_full_unstemmed 465. Risk Factors Associated with Critical COVID-19 Requiring Mechanical Ventilation
title_short 465. Risk Factors Associated with Critical COVID-19 Requiring Mechanical Ventilation
title_sort 465. risk factors associated with critical covid-19 requiring mechanical ventilation
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776428/
http://dx.doi.org/10.1093/ofid/ofaa439.658
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