Vital measurements of hospitalized COVID-19 patients as a predictor of Long COVID: An EHR-based cohort study from the RECOVER Program in N3C
Jiang, S; Loomba, J; Sharma, S; et al., arXiv
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