Vital measurements of hospitalized COVID-19 patients as a predictor of Long COVID: An EHR-based cohort study from the RECOVER Program in N3C

Caution: This preprint is a work in progress that has not been peer-reviewed. It should not be relied upon to guide clinical practice or health behaviors, and it should not be reported in news media as established information. We will update this web page if this preprint becomes a peer-reviewed publication. (Not all research reports move past the preprint stage.)

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Published

November 2022

Journal

arXiv

Abstract

It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID. A number of COVID patients suffer from heterogeneous symptoms, which severely impact recovery from the pandemic. While scientists are trying to give an unambiguous definition of Long COVID, efforts in prediction of Long COVID could play an important role in understanding the characteristic of this new disease. Vital measurements (e.g. oxygen saturation, heart rate, blood pressure) could reflect body's most basic functions and are measured regularly during hospitalization, so among patients diagnosed COVID positive and hospitalized, we analyze the vital measurements of first 7 days since the hospitalization start date to study the pattern of the vital measurements and predict Long COVID with the information from vital measurements.

Authors

Sihang Jiang, Johanna Loomba, Suchetha Sharma, Donald Brown; RECOVER consortium; N3C consortium

Keywords

Long COVID; classification; machine learning; summary statistics; time series; vital measurements