Evaluation of computerized interpretation of the pediatric electrocardiogram
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Published on: May 23, 2021
Christine C Chiu1, Robert M Hamilton, Robert M Gow
1Division of Cardiology, Department of Pediatrics, University of Toronto, The Hospital for Sick Children, Toronto, Canada. christine.chiu-man@sickkids.ca
Insights
Pediatric cardiologists disagreed with computer interpretations of electrocardiograms more often in children with heart disease. Factors like patient age and computer report complexity influenced disagreement in pediatric cardiology.
Area of Science:
- Cardiology
- Medical Informatics
- Pediatric Health
Background:
- Computer-assisted interpretation (CAI) aids in analyzing pediatric electrocardiograms (ECGs).
- Understanding the accuracy and limitations of CAI in pediatric cardiology is crucial for patient care.
- Discrepancies between human experts and AI can impact diagnostic outcomes.
Purpose of the Study:
- To determine the frequency of disagreement between pediatric cardiologists and CAI in ECG interpretation.
- To identify factors associated with disagreement in pediatric ECG analysis.
- To compare disagreement rates in patients with and without heart disease.
Main Methods:
- Retrospective analysis of pediatric ECGs from patients with heart disease (HD) and normal hearts.
- Comparison of interpretations by two pediatric cardiologists (MD1, MD2) against CAI.
- Statistical analysis to identify factors associated with disagreement, including patient demographics and CAI report complexity.
Main Results:
- Significant disagreement occurred more frequently in patients with HD (25%) than in normal controls (11%).
- CAI tended to overinterpret prolonged QT, sinus rhythm with ectopy, and right ventricular hypertrophy.
- CAI underinterpreted sinus rhythm, sinus arrhythmia, and right bundle branch block.
- Increased disagreement was linked to HD, younger patient age, complex CAI reports (>3 statements), and cardiologist MD1.
Conclusions:
- While CAI is a useful tool in pediatric cardiology, significant disagreement with human interpretation exists.
- Pediatric cardiologists are more likely to disagree with CAI regarding rhythm diagnosis, bundle branch blocks, hypertrophy, and QT intervals.
- Factors such as heart disease presence and CAI report complexity influence the likelihood of disagreement.
Abstract:
The purpose of this research was to determine the frequency and factors affecting disagreement between pediatric cardiologist (MD1 or MD2) and the computer-assisted interpretation (CAI) of pediatric electrocardiograms from patients with heart disease (HD, n = 586) or normal heart (n = 561). Significant disagreement was found in HD (146/586, 25%) compared with normal heart (64/561, 11%) (P < .001). The CAI overinterpreted prolonged QT, sinus rhythm with ectopy, and right ventricular hypertrophy; CAI underinterpreted sinus rhythm, sinus arrhythmia, and right bundle branch block (P < .05). Increased disagreement was independently associated with HD (odds ration [OR], 2.2), younger patient age at the time of the electrocardiogram, if the computer interpretation had more than 3 separate diagnostic statements (OR, 3.2) and if the overreading cardiologist was MD1 (OR, 2.9). Although CAI is helpful, pediatric cardiologists were more likely to disagree with the computer in rhythm diagnosis, recognition of bundle branch block, hypertrophy, and QT interval analysis.
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