AIM  To explore the predictive value of quantitative analysis of early ECG indicators for the failure of drug conversion in patients with new-onset atrial fibrillation.

  METHODS  Prospectively selected 112 patients with new-onset atrial fibrillation admitted to ourhospital from January 2019 to December 2020, all of whom received drug conversion. According to whether the drug conversion failed or not, they were divided into failure group and success group.Collected two groups of general data, laboratory indicators, echocardiographic indicators, quantitative ECG indicators.Multivariate Logistic regression was used to analyze the factors affecting the failure of drug conversion in patients with new-onset atrial fibrillation, and the ROC curve was drawn and the area under the curve (AUC) was calculated to analyze the predictive value of early electrocardiogram quantitative indicators for the failure of drug conversion in patients with new-onset atrial fibrillation.

  RESULTS  The proportion of diabetes in the failure group was higher than that in the success group (P<0.05), and the plasma terminal brain natriuretic peptide (NT-proBNP), dominant frequency (DF), and f-wave amplitude (FWA) levels in the failure group were higher than those in the success group (all P <0.01);Multivariate Logistic regression analysis showed: diabetes (OR=3.470, 95% CI 1.079-11.160) (P<0.05), NT-proBNP (OR=1.002, 95%CI 1.000-1.003) (P<0.05), DF (OR=3.449, 95%CI 1.927～6.171) (P<0.01), FWA (OR=6240.863, 95%CI 1.439～27057328.72) (P<0.05) were risk factors for drug conversion failure; ROC curve analysis showed, DF AUC=0.871, 95% CI (0.794～0.927); FWA AUC=0.670, 95%CI (0.574～0.759); NT-proBNP AUC=0.698, 95% CI(0.604～0.781) ; diabetes AUC=0.626, 95%CI(0.530-0.716), AUC of DF was significantly higher than FWA, NT-proBNP, diabetes (all P<0.05).

  CONCLUSION  The early quantitative indicators of ECG, FWA and DF, improve the value of predicting the failure of drug conversion in patients with new-onset atrial fibrillation.