TY - JOUR
T1 - Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications
AU - Venkatakrishnan, A. J.
AU - Pawlowski, Colin
AU - Zemmour, David
AU - Hughes, Travis
AU - Anand, Akash
AU - Berner, Gabriela
AU - Kayal, Nikhil
AU - Puranik, Arjun
AU - Conrad, Ian
AU - Bade, Sairam
AU - Barve, Rakesh
AU - Sinha, Purushottam
AU - O‘Horo, John C.
AU - Badley, Andrew D.
AU - Halamka, John
AU - Soundararajan, Venky
N1 - Funding Information:
We would like to thank Murali Aravamudan and the peer reviewers for their thoughtful feedback which improved the quality of this manuscript. In addition, we would like to thank nference for funding this study.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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.
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U2 - 10.1038/s41746-021-00484-7
DO - 10.1038/s41746-021-00484-7
M3 - Article
AN - SCOPUS:85112056247
SN - 2398-6352
VL - 4
JO - npj Digital Medicine
JF - npj Digital Medicine
IS - 1
M1 - 117
ER -