Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients.

ABSTRACT: The COVID-19 pandemic has accelerated the adoption of innovative healthcare methods, including remote patient monitoring. In the setting of limited healthcare resources, outpatient management of individuals newly diagnosed with COVID-19 was commonly implemented, some taking advantage of various personal health technologies, but only rarely using a multi-parameter chest-patch for continuous monitoring. Here we describe the development and validation of a COVID-19 decompensation index (CDI) model based on chest patch-derived continuous sensor data to predict COVID-19 hospitalizations in outpatient-managed COVID-19 positive individuals, achieving an overall AUC of the ROC Curve of 0.84 on 308 event negative participants, and 22 event positive participants, out of an overall study cohort of 40

SUBMITTER: Richards DM 

PROVIDER: S-EPMC8576003 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature