Prediction of episode of hemodynamic instability using an electrocardiogram based analytic: a retrospective cohort study.

ABSTRACT:

Background

Predicting the onset of hemodynamic instability before it occurs remains a sought-after goal in acute and critical care medicine. Technologies that allow for this may assist clinicians in preventing episodes of hemodynamic instability (EHI). We tested a novel noninvasive technology, the Analytic for Hemodynamic Instability-Predictive Indicator (AHI-PI), which analyzes a single lead of electrocardiogram (ECG) and extracts heart rate variability and morphologic waveform features to predict an EHI prior to its occurrence.

Methods

Retrospective cohort study at a quaternary care academic health system using data from hospitalized adult patients between August 2019 and April 2020 undergoing continuous ECG monitoring with intermittent noninvasive blood pressure (NIBP) or

SUBMITTER: Benson B 

PROVIDER: S-EPMC10515416 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature