Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic...
Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US
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Publisher
Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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Contents
A growing number of Coronavirus Disease-2019 (COVID-19) survivors are affected by post-acute sequelae of SARS CoV-2 infection (PACS). Using electronic health record data, we aimed to characterize PASC-associated diagnoses and develop risk prediction models.
In our cohort of 63,675 patients with a history of COVID-19, 1724 (2.7%) had a recorded P...
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Full title
Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9967320
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9967320
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ISSN
2077-0383
E-ISSN
2077-0383
DOI
10.3390/jcm12041328