Unknown

Dataset Information

Detecting early physiologic changes through cardiac implantable electronic device data among patients with COVID-19.


ABSTRACT:

Background

Cardiac implantable electronic devices (CIEDs) may enable early identification of COVID-19 to facilitate timelier intervention.

Objective

To characterize early physiologic changes associated with the onset of acute COVID-19 infection, as well as during and after acute infection, among patients with CIEDs.

Methods

CIED sensor data from March 2020 to February 2021 from 286 patients with a CIED were linked to clinical data from electronic health records. Three cohorts were created: known COVID-positive (n = 20), known COVID-negative (n = 166), and a COVID-untested control group (n = 100) included to account for testing bias. Associations between changes in CIED sensors from baseline (including HeartLogic index, a composite index predicting worsening heart fail

SUBMITTER: Reading Turchioe M 

PROVIDER: S-EPMC9349024 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature