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Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset

BACKGROUND: Understanding heterogeneity seen in patients with COVIDARDS and comparing to non-COVIDARDS may inform tailored treatments. METHODS: A multidisciplinary team of frontline clinicians and data scientists worked to create the Northwell COVIDARDS dataset (NorthCARDS) leveraging over 11,542 CO...

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Autores principales: Jafari, Daniel, Gandomi, Amir, Makhnevich, Alex, Qiu, Michael, Rolston, Daniel M., Gottesman, Eric P., Tsegaye, Adey, Mayo, Paul H., Stewart, Molly E., Zhang, Meng, Hajizadeh, Negin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814783/
https://www.ncbi.nlm.nih.gov/pubmed/35120478
http://dx.doi.org/10.1186/s12890-021-01732-y
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author Jafari, Daniel
Gandomi, Amir
Makhnevich, Alex
Qiu, Michael
Rolston, Daniel M.
Gottesman, Eric P.
Tsegaye, Adey
Mayo, Paul H.
Stewart, Molly E.
Zhang, Meng
Hajizadeh, Negin
author_facet Jafari, Daniel
Gandomi, Amir
Makhnevich, Alex
Qiu, Michael
Rolston, Daniel M.
Gottesman, Eric P.
Tsegaye, Adey
Mayo, Paul H.
Stewart, Molly E.
Zhang, Meng
Hajizadeh, Negin
author_sort Jafari, Daniel
collection PubMed
description BACKGROUND: Understanding heterogeneity seen in patients with COVIDARDS and comparing to non-COVIDARDS may inform tailored treatments. METHODS: A multidisciplinary team of frontline clinicians and data scientists worked to create the Northwell COVIDARDS dataset (NorthCARDS) leveraging over 11,542 COVID-19 hospital admissions. The data was then summarized to examine descriptive differences based on clinically meaningful categories of lung compliance, and to examine trends in oxygenation. FINDINGS: Of the 1536 COVIDARDS patients in the NorthCARDS dataset, there were 531 (34.6%) who had very low lung compliance (< 20 ml/cmH(2)O), 970 (63.2%) with low-normal compliance (20–50 ml/cmH(2)O), and 35 (2.2%) with high lung compliance (> 50 ml/cmH(2)O). The very low compliance group had double the median time to intubation compared to the low-normal group (107.3 h (IQR 25.8, 239.2) vs. 39.5 h (IQR 5.4, 91.6)). Overall, 68.8% (n = 1057) of the patients died during hospitalization. In comparison to non-COVIDARDS reports, there were less patients in the high compliance category (2.2% vs. 12%, compliance ≥ 50 mL/cmH20), and more patients with P/F ≤ 150 (59.8% vs. 45.6%). There is a statistically significant correlation between compliance and P/F ratio. The Oxygenation Index is the highest in the very low compliance group (12.51, SD(6.15)), and lowest in high compliance group (8.78, SD(4.93)). CONCLUSIONS: The respiratory system compliance distribution of COVIDARDS is similar to non-COVIDARDS. In some patients, there may be a relation between time to intubation and duration of high levels of supplemental oxygen treatment on trajectory of lung compliance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-021-01732-y.
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spelling pubmed-88147832022-02-04 Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset Jafari, Daniel Gandomi, Amir Makhnevich, Alex Qiu, Michael Rolston, Daniel M. Gottesman, Eric P. Tsegaye, Adey Mayo, Paul H. Stewart, Molly E. Zhang, Meng Hajizadeh, Negin BMC Pulm Med Research Article BACKGROUND: Understanding heterogeneity seen in patients with COVIDARDS and comparing to non-COVIDARDS may inform tailored treatments. METHODS: A multidisciplinary team of frontline clinicians and data scientists worked to create the Northwell COVIDARDS dataset (NorthCARDS) leveraging over 11,542 COVID-19 hospital admissions. The data was then summarized to examine descriptive differences based on clinically meaningful categories of lung compliance, and to examine trends in oxygenation. FINDINGS: Of the 1536 COVIDARDS patients in the NorthCARDS dataset, there were 531 (34.6%) who had very low lung compliance (< 20 ml/cmH(2)O), 970 (63.2%) with low-normal compliance (20–50 ml/cmH(2)O), and 35 (2.2%) with high lung compliance (> 50 ml/cmH(2)O). The very low compliance group had double the median time to intubation compared to the low-normal group (107.3 h (IQR 25.8, 239.2) vs. 39.5 h (IQR 5.4, 91.6)). Overall, 68.8% (n = 1057) of the patients died during hospitalization. In comparison to non-COVIDARDS reports, there were less patients in the high compliance category (2.2% vs. 12%, compliance ≥ 50 mL/cmH20), and more patients with P/F ≤ 150 (59.8% vs. 45.6%). There is a statistically significant correlation between compliance and P/F ratio. The Oxygenation Index is the highest in the very low compliance group (12.51, SD(6.15)), and lowest in high compliance group (8.78, SD(4.93)). CONCLUSIONS: The respiratory system compliance distribution of COVIDARDS is similar to non-COVIDARDS. In some patients, there may be a relation between time to intubation and duration of high levels of supplemental oxygen treatment on trajectory of lung compliance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-021-01732-y. BioMed Central 2022-02-04 /pmc/articles/PMC8814783/ /pubmed/35120478 http://dx.doi.org/10.1186/s12890-021-01732-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Jafari, Daniel
Gandomi, Amir
Makhnevich, Alex
Qiu, Michael
Rolston, Daniel M.
Gottesman, Eric P.
Tsegaye, Adey
Mayo, Paul H.
Stewart, Molly E.
Zhang, Meng
Hajizadeh, Negin
Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset
title Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset
title_full Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset
title_fullStr Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset
title_full_unstemmed Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset
title_short Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset
title_sort trajectories of hypoxemia and pulmonary mechanics of covid-19 ards in the northcards dataset
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814783/
https://www.ncbi.nlm.nih.gov/pubmed/35120478
http://dx.doi.org/10.1186/s12890-021-01732-y
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