Evolving phenotypes of non-hospitalized patients that indicate long COVID.

ABSTRACT:

Background

For some SARS-CoV-2 survivors, recovery from the acute phase of the infection has been grueling with lingering effects. Many of the symptoms characterized as the post-acute sequelae of COVID-19 (PASC) could have multiple causes or are similarly seen in non-COVID patients. Accurate identification of PASC phenotypes will be important to guide future research and help the healthcare system focus its efforts and resources on adequately controlled age- and gender-specific sequelae of a COVID-19 infection.

Methods

In this retrospective electronic health record (EHR) cohort study, we applied a computational framework for knowledge discovery from clinical data, MLHO, to identify phenotypes that positively associate with a past positive reverse transcription-polymerase cha

SUBMITTER: Estiri H 

PROVIDER: S-EPMC8474909 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature