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Characterizing and Predicting Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) in a Large Academic Medical Center in the US

Medicine and Health

Characterizing and Predicting Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) in a Large Academic Medical Center in the US

L. G. Fritsche, W. Jin, et al.

This groundbreaking study by Lars G Fritsche, Weijia Jin, Andrew J Admon, and Bhramar Mukherjee delves into post-acute sequelae of SARS-CoV-2 infection, revealing a complex interplay of symptoms and disorders that emerge after COVID-19. Utilizing data from over 63,000 patients, the research underscores the potential for effective risk stratification based on pre-existing conditions and acute symptoms.

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Playback language: English
Abstract
This study investigated post-acute sequelae of SARS-CoV-2 infection (PASC) using electronic health record data from 63,675 patients. A case-control design and phenome-wide association studies characterized PASC-associated diagnoses across pre-, acute-, and post-COVID-19 periods. Phenotype risk scores (PheRSs) were developed and evaluated for predictive performance. Results showed enrichment of known PASC symptoms and other disorders in the post-COVID-19 period. Pre- and acute-COVID-19 PheRSs effectively stratified risk, identifying a subset with a 3.5-fold increased PASC risk. The study highlights the complex interplay of predisposing and presenting features in PASC, suggesting potential for risk stratification.
Publisher
Journal of Clinical Medicine
Published On
Feb 07, 2023
Authors
Lars G Fritsche, Weijia Jin, Andrew J Admon, Bhramar Mukherjee
Tags
PASC
SARS-CoV-2
electronic health records
risk stratification
phenotype risk scores
post-COVID-19 symptoms
case-control design
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