AI Article Synopsis
- A recent study evaluated a new ECG criterion, the Peguero-Lo Presti criterion, aiming to improve sensitivity for detecting left ventricular hypertrophy compared to existing methods.
- The study involved 767 cardiac patients and assessed the new criterion alongside established ones, ultimately finding that while it had the highest sensitivity at 17.5%, its overall performance was similar to the Cornell voltage criterion.
- Researchers suggest that further refinements, possibly considering factors like age and body mass index, might enhance the effectiveness of the new criterion in predicting left ventricular hypertrophy.
Article Abstract
Objective: Many criteria have been developed to predict left ventricular hypertrophy using an electrocardiogram (ECG). However, one major common limitation of all has been their low sensitivity. Based on that, recently, a novel criterion has been proposed, which is believed to have higher sensitivity without a compromise in specificity. Therefore, in our study, we aimed to test this novel ECG criterion prospectively in large, unselected cardiac patients.
Methods: Patients who were referred to our echocardiography laboratory due to various etiologies were prospectively enrolled. The novel Peguero-Lo Presti criterion was assessed along with other established ECG criteria. The left ventricular mass index was calculated using echocardiography. The performance of each index was evaluated.
Results: Overall, 767 patients were enrolled in this study. The sensitivity and specificity of the Peguero-Lo Presti criterion were 17.5% and 94.5%, respectively. Although the highest sensitivity belonged to the Peguero-Lo Presti criterion, in ROC analysis, it showed modest predictive capability, which was similar to the established Cornell voltage criterion (AUC=0.64 [0.56-0.68 95% CI], p<0.01).
Conclusion: Although this novel criterion had higher sensitivity, the overall performance was similar to the current indices. Further adjustments, particularly based on age and body mass index, may yield better results.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251267 | PMC |
| http://dx.doi.org/10.14744/nci.2019.00907 | DOI Listing |
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