Search

Background: Electrocardiographic (ECG) criteria to detect left ventricular hypertrophy (LVH) in patients with left bundle branch block (LBBB) remain under debate. We conducted a systematic review and meta-analysis to evaluate the diagnostic accuracy of different ECG criteria for diagnosing LVH in patients with LBBB., Methods: We searched PubMed, Embase, Cochrane, and LILACS for articles evaluating the diagnostic accuracy of ECG criteria for LVH in patients with LBBB published between 1984 and 2023. Echocardiogram, magnetic resonance imaging, or autopsy were used as the reference standard for diagnosis of LVH. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. The co-primary outcomes were sensitivity, specificity, the diagnostic odds ratio, and likelihood ratios, estimated using a bivariate generalized linear mixed model for each ECG criterion. The prespecified protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO)., Results: We included 12 studies with a total of 1023 patients. We analyzed 10 criteria for LVH on ECG, including the Sokolow-Lyon criterion, the Cornell criterion, the RaVL (R wave in aVL) criterion, the Gubner-Ungerleider criterion, and the Dálfo criterion, among others. The Dalfó criterion was used for 487 patients and had the highest pooled sensitivity of 86% (95% confidence interval [CI] 57%-97%). All the other criteria had poor sensitivities. The Gubner-Ungerleider criterion and the RV5 or RV6 > 25 mm criterion had the highest specificities, with the former being used for 805 patients, obtaining a specificity of 99% (95% CI 80%-100%) and the latter being used for 355 patients, obtaining a specificity of 99% (95% CI 94%-100%)., Conclusions: In patients with LBBB, the use of ECG criteria had poor performance for ruling out LVH, mostly due to low sensitivities. None of the criteria analyzed demonstrated a balanced tradeoff between sensitivity and specificity, suggesting that ECG should not be used routinely to screen for LVH., (© 2023 The Authors.)