Diagnostic Accuracy of 12-Lead ECG Algorithms for Accessory Pathway Localization in WPW: A Meta-Analysis.
Elsayed S Moubarak, Ahmed Farid Gadelmawla, Almothana Manasrah et al.
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In 30 seconds
This systematic review and meta-analysis assessed 12-lead ECG algorithms for localizing accessory pathways in adults and children with manifest Wolff-Parkinson-White syndrome who underwent electrophysiological study and catheter ablation. Across 17 studies involving 3159 patients, pooled diagnostic accuracy was 0.91 (95% CI 0.85-0.94). Pooled sensitivity was 0.87 (95% CI 0.73-0.94) and specificity was 0.98 (95% CI 0.95-0.99). Accuracy estimates showed substantial heterogeneity, while specificity heterogeneity was absent.
Key findings
- Across 17 studies and 3159 patients, pooled ECG-algorithm diagnostic accuracy was 0.91 (95% CI 0.85-0.94; I 2 = 91.4%).
- Pooled sensitivity was 0.87 (95% CI 0.73-0.94), and pooled specificity was 0.98 (95% CI 0.95-0.99; I 2 = 0%).
- The pooled diagnostic odds ratio was 297.17 (95% CI 46.33-1906.19; p<0.0001).
Why it matters
Pre-procedure pathway localization can inform ablation planning. These pooled results suggest that ECG algorithms can provide useful localization estimates, particularly given the high pooled specificity, while substantial heterogeneity in accuracy indicates that performance may vary across studies. The findings support interpreting ECG localization as an adjunct rather than a substitute for invasive mapping.
What to keep in mind
Diagnostic accuracy estimates had substantial heterogeneity (I 2 = 91.4%), limiting confidence that performance is consistent across settings and algorithms.