Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study.

ABSTRACT:

Background

Postacute sequelae of COVID-19 (PASC), also known as long COVID, is a broad grouping of a range of long-term symptoms following acute COVID-19. These symptoms can occur across a range of biological systems, leading to challenges in determining risk factors for PASC and the causal etiology of this disorder. An understanding of characteristics that are predictive of future PASC is valuable, as this can inform the identification of high-risk individuals and future preventative efforts. However, current knowledge regarding PASC risk factors is limited.

Objective

Using a sample of 55,257 patients (at a ratio of 1 patient with PASC to 4 matched controls) from the National COVID Cohort Collaborative, as part of the National Institutes of Health Long COVID Computational C

SUBMITTER: Butzin-Dozier Z 

PROVIDER: S-EPMC11364083 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature