Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications

Abstract 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 model...

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Autores principales:	A. J. Venkatakrishnan, Colin Pawlowski, David Zemmour, Travis Hughes, Akash Anand, Gabriela Berner, Nikhil Kayal, Arjun Puranik, Ian Conrad, Sairam Bade, Rakesh Barve, Purushottam Sinha, John C. O‘Horo, Andrew D. Badley, John Halamka, Venky Soundararajan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/5d3be4022eee45a2a9e665e11457f771
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spelling	oai:doaj.org-article:5d3be4022eee45a2a9e665e11457f7712021-12-02T18:46:55ZMapping each pre-existing condition’s association to short-term and long-term COVID-19 complications10.1038/s41746-021-00484-72398-6352https://doaj.org/article/5d3be4022eee45a2a9e665e11457f7712021-07-01T00:00:00Zhttps://doi.org/10.1038/s41746-021-00484-7https://doaj.org/toc/2398-6352Abstract 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.A. J. VenkatakrishnanColin PawlowskiDavid ZemmourTravis HughesAkash AnandGabriela BernerNikhil KayalArjun PuranikIan ConradSairam BadeRakesh BarvePurushottam SinhaJohn C. O‘HoroAndrew D. BadleyJohn HalamkaVenky SoundararajanNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 A. J. Venkatakrishnan Colin Pawlowski David Zemmour Travis Hughes Akash Anand Gabriela Berner Nikhil Kayal Arjun Puranik Ian Conrad Sairam Bade Rakesh Barve Purushottam Sinha John C. O‘Horo Andrew D. Badley John Halamka Venky Soundararajan Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications
description	Abstract 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	article
author	A. J. Venkatakrishnan Colin Pawlowski David Zemmour Travis Hughes Akash Anand Gabriela Berner Nikhil Kayal Arjun Puranik Ian Conrad Sairam Bade Rakesh Barve Purushottam Sinha John C. O‘Horo Andrew D. Badley John Halamka Venky Soundararajan
author_facet	A. J. Venkatakrishnan Colin Pawlowski David Zemmour Travis Hughes Akash Anand Gabriela Berner Nikhil Kayal Arjun Puranik Ian Conrad Sairam Bade Rakesh Barve Purushottam Sinha John C. O‘Horo Andrew D. Badley John Halamka Venky Soundararajan
author_sort	A. J. Venkatakrishnan
title	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_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_sort	mapping each pre-existing condition’s association to short-term and long-term covid-19 complications
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5d3be4022eee45a2a9e665e11457f771
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Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications

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