3/29/2024 0 Comments Failed to contact gomez peerThe AI algorithm identified LVSD among ChD patients with an odds ratio of 63.3 (95% CI 32.3–128.9), a sensitivity of 73%, a specificity of 83%, an overall accuracy of 83%, and a negative predictive value of 97% the AUC was 0.839. Most patients had major ECG abnormalities (59.5%). The model was enriched with NT-proBNP plasma levels, male sex, and QRS ≥ 120ms.Īmong the 1,304 participants of this study, 67% were women, median age of 60 there were 93 (7.1%) individuals with LVSD. The diagnostic performance of the AI-enabled ECG to detect LVSD was tested using an echocardiogram as the gold standard to detect LVSD, defined as an ejection fraction <40%. The digital ECGs of the participants were submitted to the analysis of the trained machine to detect LVSD. ![]() This is a cross-sectional study of ECG obtained from a large cohort of patients with ChD named São Paulo-Minas Gerais Tropical Medicine Research Center (SaMi-Trop) Study.
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