Using a data-driven approach to define post-COVID conditions in US electronic health record data.

ABSTRACT:

Objective

To create a data-driven definition of post-COVID conditions (PCC) by directly measure changes in symptomatology before and after a first COVID episode.

Materials and methods

Retrospective cohort study using Optum® de-identified Electronic Health Record (EHR) dataset from the United States of persons of any age April 2020-September 2021. For each person with COVID (ICD-10-CM U07.1 "COVID-19" or positive test result), we selected up to 3 comparators. The final COVID symptom score was computed as the sum of new diagnoses weighted by each diagnosis' ratio of incidence in COVID group relative to comparator group. For the subset of COVID cases diagnosed in September 2021, we compared the incidence of PCC using our data-driven definition with ICD-10-CM code U09.9 "Post-CO

SUBMITTER: Andersen KM 

PROVIDER: S-EPMC10997091 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature