Litcius/Paper detail

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C

Sihang Jiang, Johanna Loomba, Suchetha Sharma, Donald E. Brown

20222022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10 citationsDOIOpen Access PDF

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.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Cohort2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineComputer scienceVirologyInternal medicineDiseaseOutbreakInfectious disease (medical specialty)Long-Term Effects of COVID-19Heart Rate Variability and Autonomic ControlCOVID-19 Clinical Research Studies
Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C | Litcius