Holter triage ambulatory ECG analysis. Accuracy and time efficiency
D H Cooper1, H L Kennedy, D S Lyyski
1Cardiovascular Research Foundation, St. John's Mercy Medical Center, St. Louis, Missouri, 63141, USA.
Journal of Electrocardiology
|January 1, 1996
Summary
Triage ambulatory electrocardiographic (ECG) analysis offers comparable accuracy to conventional methods for detecting ventricular ectopic beats and couplets, but requires careful editing for optimal ventricular tachycardia detection. This automated ECG analysis improves time efficiency in several phases.
Area of Science:
- Cardiology
- Medical Instrumentation
- Digital Health
Background:
- Ambulatory electrocardiographic (ECG) monitoring, particularly Holter tapes, is crucial for diagnosing cardiac arrhythmias.
- Automated analysis systems aim to improve efficiency and accessibility of ECG interpretation.
- Triage systems in ECG analysis filter interpretable tapes, reserving complex cases for expert review.
Purpose of the Study:
- To evaluate the clinical validity of a specific manufacturer's triage instrumentation for automated ambulatory ECG analysis.
- To assess the accuracy and time efficiency of triage analysis for ventricular arrhythmias compared to conventional methods.
- To identify limitations of automated triage systems in ECG interpretation.
Main Methods:
- A database of 50 Holter tapes, stratified by ventricular ectopic beat (VEB) frequency, was analyzed using triage, conventional, and full-disclosure hand-count methods.
- Triage analysis automatically interpreted interpretable tapes, with remaining tapes edited by a cardiovascular technician.
- Accuracy metrics (sensitivity, positive predictive accuracy, false positive rate) and time efficiency across five phases were compared.
Main Results:
- Half of the Holter tapes were automatically analyzable by the triage method.
- Triage analysis demonstrated high accuracy for isolated VEBs (96% sensitivity) and ventricular couplets (92% sensitivity).
- Triage analysis showed limitations in detecting ventricular tachycardia (VT) runs (48% sensitivity), though accuracy improved significantly (86% sensitivity) with editing.
- Triage analysis was more time-efficient for machine, analysis, and total time, but required more editing time.
Conclusions:
- Triage ambulatory ECG analysis is generally accurate for common ventricular arrhythmias but requires careful quality control and editing, especially for detecting ventricular tachycardia.
- The automated system offers significant time efficiencies but has limitations that necessitate human oversight.
- Further development and validation are needed to enhance the detection capabilities of automated triage systems for complex arrhythmias.
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