Fifth Eye Publications
Publication: PLOS Digital Health (2024)
Use of a continuous single lead electrocardiogram analytic to predict patient deterioration requiring rapid response team activation Sooin Lee, Bryce Benson, Ashwin Belle, Richard P. Medlin, David Jerkins, Foster Goss, Ashish K. Khanna, Michael A. DeVita, Kevin R....
Publication: Critical Care Medicine (2024)
Benson, Bryce1; Lee, Sooin1; Belle, Ashwin1; Ward, Kevin2; Khanna, Ashish K3. 367: PREDICTIVE NATURE OF A HEMODYNAMIC INDICATOR BY DURATION OF INSTABILITY IN CRITICALLY ILL PATIENTS. Critical Care Medicine 52(1):p S158, January 2024. | DOI:...
Publication: BMC Anesthesiology (2023)
Benson, B., Belle, A., Lee, S. et al. Prediction of episode of hemodynamic instability using an electrocardiogram based analytic: a retrospective cohort study. BMC Anesthesiol 23, 324 (2023). https://doi.org/10.1186/s12871-023-02283-x
Publication: WASET (2023)
Open Science Index 197, International Journal of Health and Medical Engineering (2023), 17(5), 96 - 100.
Publication: Critical Care Exploration (2022)
Schmitzberger, Florian F., Ashley E. Hall, Morgan E. Hughes, Ashwin Belle, Bryce Benson, Kevin R. Ward, and Benjamin S. Bassin. "Detection of Hemodynamic Status Using an Analytic Based on an Electrocardiogram Lead Waveform." Critical Care Explorations 4, no. 5 (2022):...
Publication: AHA Abstract 300 (2022)
Evaluation Of An Electrocardiogram Based Analytic For Predicting Future Episodes Of Hemodynamic Instability, American Heart Association, October 2022.
Publication: AHA Abstract 303 (2022)
Evaluating The Utility Of A Predictive Analytic For Reducing Intensive Care Unit Readmissions, American Heart Association, October 2022.
Publication: AHA (2020)
Bassin, B., et al., Detection of hemodynamic status using a novel analytic based solely on a single ECG waveform, Resuscitation Science Symposium 2020, American Heart Association, November 2020.
Publication: WASET (2020)
Belle, A., et al., A Continuous Real-Time Analytic for Predicting Instability in Acute Care Rapid Response Team Activations, International Journal of Medical and Health Sciences 14, no. 11 (2020): 380-387.
Publication: AHA (2018)
Belle, A., et al., A Novel Continuous Heart Rate Variability Based Analytic to Predict Clinical Hemodynamic Instability Requiring Intervention, American Heart Association-Circulation, November 5, 2018. 2018; V138:A339
Third Party Publications
Publication: Journal of Electrocardiology (2023)
Oliver J. Monfredi, Christopher C. Moore, Brynne A. Sullivan, Jessica Keim-Malpass, Karen D. Fairchild, Tyler J. Loftus, Azra Bihorac, Katherine N. Krahn, Artur Dubrawski, Douglas E. Lake, J. Randall Moorman, Gilles Clermont. Continuous ECG monitoring should be the...
Publication: Mathematical Biosciences (2014)
Scheff JD, Griffel B, Corbett SA, Calvano SE, Androulakis IP. On heart rate variability and autonomic activity in homeostasis and in systemic inflammation. Math Biosci. 2014 Jun;252:36-44. doi: 10.1016/j.mbs.2014.03.010. Epub 2014 Mar 26. PMID: 24680646; PMCID:...
Publication: Progress in Cardiovascular Diseases (2012)
Xhyheri B, Manfrini O, Mazzolini M, Pizzi C, Bugiardini R. Heart Rate Variability Today Prog Cardiovasc Dis. 2012 Nov-Dec;55(3):321-31. doi: 10.1016/j.pcad.2012.09.001. PMID: 23217437.FIFTH EYE110 Miller Avenue, Suite 300Ann Arbor, MI 48104EXPLOREAboutNewsJob...
Publication: Anaesthesiologica Scandinavica (2011)
Mazzeo AT, La Monaca E, Di Leo R, Vita G, Santamaria LB. Heart rate variability: a diagnostic and prognostic tool in anesthesia and intensive care. Acta Anaesthesiol Scand. 2011 Aug;55(7):797-811. doi: 10.1111/j.1399-6576.2011.02466.x. Epub 2011 Jun 9. PMID: 21658013.
Publication: Swiss Medical Weekly (2004)
Sztajzel J. Heart rate variability: a noninvasive electrocardiographic method to measure the autonomic nervous system. Swiss Med Wkly. 2004 Sep 4;134(35-36):514-22. doi: 10.4414/smw.2004.10321. PMID: 15517504. FIFTH EYE110 Miller Avenue, Suite 300Ann Arbor, MI...
Publication: European Society of Cardiology (1996)
Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996 Mar 1;93(5):1043-65. PMID: 8598068.
UNDERLYING SCIENCE
AHI and AHI-PI are novel FDA-cleared analytics that measure real-time hemodynamic status and identify emerging and increased risk of future hemodynamic instability.
HEMODYNAMIC STATUS
Hemodynamic status is a continuum ranging from a stable and healthy state where a body’s systems are providing adequate oxygenated blood to perfuse the tissues to an unstable state where failure to provide adequate perfusion can lead to multi-organ failure and death.
For decades, the practical clinical standard for identifying hemodynamic instability was out-of-range hemodynamic vital signs (heart rate and blood pressure). Despite their proven clinical importance, raw vital sign data has its drawbacks:
- Burdensome to gather, trend and interpret
- Does not provide objective predictive information
- Monitored intermittently and irregularly
- Inherently noisy
- Prone to error
Some hospitals are trying to extract timely and actionable information from electronic health record-based analytics. Unfortunately these suffer from delayed and intermittent inputs, cause nurse burden, and have demonstrated unclear value.
To ensure broad applicability to patient care across the hospital and easy implementation into clinical workflows, Fifth Eye minimized the number of sensors required to produce actionable information.
By leveraging known relationships between cardiac rhythm, heart rate variability, and patient compensation, clinically-validated AHI sifts through the noise to spot:
- Hidden ECG patterns associated with hemodynamic instability
- Emerging signs of shock
- Autonomic nervous system compensation
Using only a single existing lead of streaming ECG and no manual inputs, the AHI analytics monitor the autonomic nervous system compensating for changes in hemodynamic status and predict emerging hemodynamic instability.
Using only a single existing lead of streaming ECG and no manual inputs, the AHI analytics monitor the autonomic nervous system compensating for changes in hemodynamic status and predict emerging hemodynamic instability.