October 1, 2000Pacing and Clinical Electrophysiology
The Bayesian Approach Improves the Electrocardiographic Diagnosis of Broad Complex Tachycardia
Why the study?
Does a Bayesian diagnostic algorithm improve the electrocardiographic diagnosis of broad complex tachycardia compared to clinical judgement?
Population
244 broad complex tachycardia (BCT) ECGs
Comparison
Bayesian diagnostic algorithm centered around… vs Clinical judgement by three independent observers
Design
Observers blinded to the diagnoses made at electrophysiological study
Authors
Discussion
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Member takes
Implication
May aid ECG diagnosis of broad complex tachycardia; leaves open prospective validation before clinical adoption.
Structured PICO
Does a Bayesian diagnostic algorithm improve the electrocardiographic diagnosis of broad complex tachycardia compared to clinical judgement?
P
Population
244 broad complex tachycardia (BCT) ECGs
I
Intervention
Bayesian diagnostic algorithm centered around the likelihood ratio (LR) using previously studied ECG features
C
Comparator
Clinical judgement by three independent observers
O
Outcome
Diagnostic accuracy of SVTAC, VT, and fascicular tachycardia with electrophysiological study (EPS) as the criterial standardsurrogate
A Bayesian diagnostic algorithm improves the electrocardiographic diagnosis of broad complex tachycardia compared to standard clinical judgement.
Cite This Study
Lau et al. (2000) studied this question.