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Abstract Objective To explore the application value of 24hour ambulatory electrocardiographic parameters in the clinical diagnosis of ventricular arrhythmia in patients with acute myocardial infarction (AMI). Methods A total of 200 AMI patients were performed by ambulatory electrocardiography (AECG) examination, and related parameters were recorded. According to the presence or absence of ventricular arrhythmia, the enrolled patients were divided into ventricular arrhythmia group and nonventricular arrhythmia group. The 24-hour AECG parameters of rMSSD, SDNN, SDANN-index and QT interval variability (QTV) were compared between the two groups. Logistic regression analysis was used to explore the relationship between 24-hour AECG parameters and ventricular arrhythmia occurred in AMI patients; ROC curve analysis was utilized to investigate the efficiency of these parameters in the diagnosis of ventricular arrhythmia among AMI patients. ResultsAmong the 200 AMI patients, 76 cases developed ventricular arrhythmia, with an incidence rate of 38.0%. The indexes of rMSSD, SDNN, SDANNindex and QTV of the AMI patients in the ventricular arrhythmia group were all significantly lower than those in the nonventricular arrhythmia group (all P＜0.05). Logistic regression analysis results showed that rMSSD, SDNN, SDANN-index and QTV were all related to the occurrence of ventricular arrhythmia among AMI patients (all P＜0.05). ROC curve analysis revealed that the AUC values of rMSSD, SDNN, SDANN-index and QTV in the diagnosis of ventricular arrhythmia among AMI patients were 0.907, 0.761, 0.819 and 0.906, respectively, with a certain predictive value. Conclusion The 24-hour AECG parameters of rMSSD, SDNN, SDANN-index and QTV have application values in the clinical diagnosis of ventricular arrhythmia among AMI patients.
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