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Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications
Understanding the relationships between pre-existing conditions and complications of COVID-19 infection is critical to identifying which patients will develop severe disease. Here, we leverage ~1.1 million clinical notes from 1803 hospitalized COVID-19 patients and deep neural network models to char...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316410/ https://www.ncbi.nlm.nih.gov/pubmed/34315980 http://dx.doi.org/10.1038/s41746-021-00484-7 |
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author | Venkatakrishnan, A. J. Pawlowski, Colin Zemmour, David Hughes, Travis Anand, Akash Berner, Gabriela Kayal, Nikhil Puranik, Arjun Conrad, Ian Bade, Sairam Barve, Rakesh Sinha, Purushottam O‘Horo, John C. Badley, Andrew D. Halamka, John Soundararajan, Venky |
author_facet | Venkatakrishnan, A. J. Pawlowski, Colin Zemmour, David Hughes, Travis Anand, Akash Berner, Gabriela Kayal, Nikhil Puranik, Arjun Conrad, Ian Bade, Sairam Barve, Rakesh Sinha, Purushottam O‘Horo, John C. Badley, Andrew D. Halamka, John Soundararajan, Venky |
author_sort | Venkatakrishnan, A. J. |
collection | PubMed |
description | Understanding the relationships between pre-existing conditions and complications of COVID-19 infection is critical to identifying which patients will develop severe disease. Here, we leverage ~1.1 million clinical notes from 1803 hospitalized COVID-19 patients and deep neural network models to characterize associations between 21 pre-existing conditions and the development of 20 complications (e.g. respiratory, cardiovascular, renal, and hematologic) of COVID-19 infection throughout the course of infection (i.e. 0–30 days, 31–60 days, and 61–90 days). Pleural effusion was the most frequent complication of early COVID-19 infection (89/1803 patients, 4.9%) followed by cardiac arrhythmia (45/1803 patients, 2.5%). Notably, hypertension was the most significant risk factor associated with 10 different complications including acute respiratory distress syndrome, cardiac arrhythmia, and anemia. The onset of new complications after 30 days is rare and most commonly involves pleural effusion (31–60 days: 11 patients, 61–90 days: 9 patients). Lastly, comparing the rates of complications with a propensity-matched COVID-negative hospitalized population confirmed the importance of hypertension as a risk factor for early-onset complications. Overall, the associations between pre-COVID conditions and COVID-associated complications presented here may form the basis for the development of risk assessment scores to guide clinical care pathways. |
format | Online Article Text |
id | pubmed-8316410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83164102021-08-02 Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications Venkatakrishnan, A. J. Pawlowski, Colin Zemmour, David Hughes, Travis Anand, Akash Berner, Gabriela Kayal, Nikhil Puranik, Arjun Conrad, Ian Bade, Sairam Barve, Rakesh Sinha, Purushottam O‘Horo, John C. Badley, Andrew D. Halamka, John Soundararajan, Venky NPJ Digit Med Article Understanding the relationships between pre-existing conditions and complications of COVID-19 infection is critical to identifying which patients will develop severe disease. Here, we leverage ~1.1 million clinical notes from 1803 hospitalized COVID-19 patients and deep neural network models to characterize associations between 21 pre-existing conditions and the development of 20 complications (e.g. respiratory, cardiovascular, renal, and hematologic) of COVID-19 infection throughout the course of infection (i.e. 0–30 days, 31–60 days, and 61–90 days). Pleural effusion was the most frequent complication of early COVID-19 infection (89/1803 patients, 4.9%) followed by cardiac arrhythmia (45/1803 patients, 2.5%). Notably, hypertension was the most significant risk factor associated with 10 different complications including acute respiratory distress syndrome, cardiac arrhythmia, and anemia. The onset of new complications after 30 days is rare and most commonly involves pleural effusion (31–60 days: 11 patients, 61–90 days: 9 patients). Lastly, comparing the rates of complications with a propensity-matched COVID-negative hospitalized population confirmed the importance of hypertension as a risk factor for early-onset complications. Overall, the associations between pre-COVID conditions and COVID-associated complications presented here may form the basis for the development of risk assessment scores to guide clinical care pathways. Nature Publishing Group UK 2021-07-27 /pmc/articles/PMC8316410/ /pubmed/34315980 http://dx.doi.org/10.1038/s41746-021-00484-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Venkatakrishnan, A. J. Pawlowski, Colin Zemmour, David Hughes, Travis Anand, Akash Berner, Gabriela Kayal, Nikhil Puranik, Arjun Conrad, Ian Bade, Sairam Barve, Rakesh Sinha, Purushottam O‘Horo, John C. Badley, Andrew D. Halamka, John Soundararajan, Venky Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications |
title | Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications |
title_full | Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications |
title_fullStr | Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications |
title_full_unstemmed | Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications |
title_short | Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications |
title_sort | mapping each pre-existing condition’s association to short-term and long-term covid-19 complications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316410/ https://www.ncbi.nlm.nih.gov/pubmed/34315980 http://dx.doi.org/10.1038/s41746-021-00484-7 |
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