Abstract 300: Evaluation Of An Electrocardiogram Based Analytic For Predicting Future Episodes Of Hemodynamic Instability

BackgroundClinicians rely on vital signs (tachycardia with hypotension) to identify hemodynamically unstable patients. The Analytic for Hemodynamic Instability (AHI) System provides an indication of hemodynamic deterioration before it is evident via vital signs. It uses only routinely collected ECG...

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Bibliographic Details
Published in:Circulation (New York, N.Y.) N.Y.), 2022-11, Vol.146 (Suppl_1), p.A300-A300
Main Authors: Benson, Bryce, Belle, Ashwin, Lee, Sooin, Medlin, Richard P
Format: Article
Language:English
Online Access:Get full text
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Summary:BackgroundClinicians rely on vital signs (tachycardia with hypotension) to identify hemodynamically unstable patients. The Analytic for Hemodynamic Instability (AHI) System provides an indication of hemodynamic deterioration before it is evident via vital signs. It uses only routinely collected ECG monitor data to generate a simple binary output (indicating signs of hemodynamic instability-Red or stability-Green) and is automatically updated every two minutes. HypothesisContinuous real-time hemodynamic status obtained from analysis of ECG signals can predict an episode of hemodynamic instability before it's evident via vital signs, with clinically actionable lead time. MethodsIn this retrospective observational study, an episode of hemodynamic instability (EHI) was defined as 10 continuous minutes or more where hypotension (systolic BP
ISSN:0009-7322
1524-4539
DOI:10.1161/circ.146.suppl_1.300