False Positive Supraventricular Tachycardia During Exercise Stress Test

Area of Science:

• Cardiology
• Medical Technology
• Diagnostic Imaging

Background:

• Exercise stress testing is essential for diagnosing myocardial ischemia.
• Algorithmic interpretation of electrocardiograms (ECGs) can introduce artifacts and lead to false-positive findings.
• Limitations in linked median algorithms pose challenges in accurate arrhythmia detection.

Purpose of the Study:

• To highlight the potential for false-positive arrhythmia diagnoses from algorithmic ECG interpretation during exercise stress testing.
• To emphasize the critical role of raw ECG verification in clinical decision-making.
• To present a case study illustrating the discrepancy between algorithmic analysis and actual cardiac rhythm.

Main Methods:

• A 63-year-old female patient underwent treadmill stress testing for atypical chest pain.
• Linked median analysis of the ECG data indicated a narrow complex tachycardia at 270 bpm.
• Manual review of the raw ECG was performed for definitive rhythm assessment.

Main Results:

• The linked median analysis suggested a supraventricular tachycardia (SVT) at an unusually high rate for the patient's age.
• The raw ECG data unequivocally confirmed sinus tachycardia, not SVT.
• The initial plan for inpatient admission based on the algorithmic finding was reconsidered.

Conclusions:

• Synthesized ECG interpretations require careful verification against raw data to prevent misdiagnosis.
• False-positive findings from algorithmic analysis can lead to unnecessary medical interventions and patient anxiety.
• Clinical vigilance and direct examination of ECG waveforms are crucial for accurate cardiac rhythm diagnosis.