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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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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. |
format | Online Article Text |
id | pubmed-8814783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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