1. Prediction of episode of hemodynamic instability using an electrocardiogram based analytic: a retrospective cohort study
- Author
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Bryce Benson, Ashwin Belle, Sooin Lee, Benjamin S. Bassin, Richard P. Medlin, Michael W. Sjoding, and Kevin R. Ward
- Subjects
Blood pressure ,Critical care ,Heart rate variability ,Hemodynamic instability ,Hemodynamic monitoring ,Hypotension ,Anesthesiology ,RD78.3-87.3 - Abstract
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 with continuous intraarterial pressure (IAP) monitoring. Results AHI-PI’s low and high-risk indications were compared with the presence of EHI in the future as indicated by vital signs (heart rate > 100 beats/min with a systolic blood pressure
- Published
- 2023
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