Key result
Heart rate variability parameters on dynamic electrocardiogram, particularly PNN50% (AUC 0.819), significantly predicted ventricular fibrillation in elderly patients with acute myocardial infarction.
Why the study?
Ventricular fibrillation is the main cause of sudden death in AMI patients, and early identification of arrhythmia is significant for improving prognosis.
Does heart rate variability on dynamic electrocardiogram predict ventricular fibrillation in elderly patients with acute myocardial infarction?
Observational (n=122)
Does heart rate variability on dynamic electrocardiogram predict ventricular fibrillation in elderly patients with acute myocardial infarction?
Heart rate variability parameters on dynamic ECG, particularly PNN50% and rMSSD, show good predictive value for ventricular fibrillation in elderly patients with acute myocardial infarction.
May aid VF risk stratification via dynamic ECG in elderly AMI; hypothesis-generating and requires prospective validation.
BACKGROUND: Ventricular fibrillation (VF) is the main cause of sudden death in Acute myocardial infarction (AMI) patients. Identifying arrhythmia as early as possible is of great significance in improving prognosis of AMI patients. The article is aimed at exploring the predictive value of heart rate variability (HRV) of dynamic electrocardiogram (DCG) in VF of elderly AMI patients. METHODS: A total of 122 elderly AMI patients were enrolled as the research objects. They were divided into VF group and simple AMI group (AMI group). All underwent DCG test after admission. The basic data of patients were compared. HRV of DCG was observed. The predictive value of HRV of DCG in VF of elderly AMI patients was evaluated by receiver operating characteristic (ROC) curves. RESULTS: The ratio of Killip at grade II-III, activity of creatine kinase-MB (CK-MB), standard deviation of all R-R intervals (SDNN), the standard deviation of the R-R intervals (SDANN), root-mean-square of the successive differences of normal RR intervals (rMSSD) and percentage of NN50 in the total number of NN intervals PNN50 (PNN50%)]in VF group were higher than those in AMI group (P<0.05). The area under the ROC curves (AUC)and cut-off values of SDNN, SDANN, rMSSD and PNN50% were (0.773, 0.761, 0.800, 0.819) and (135.675, 106.850, 33.570, 14.080), respectively. CONCLUSIONS: HRV of DCG is of certain predictive value for VF in the elderly with AMI, which is expected to be an auxiliary diagnosis method of VF.
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Zhang et al. (2020) conducted an observational in Acute myocardial infarction (n=122). Heart rate variability (HRV) on dynamic electrocardiogram vs. Patients without ventricular fibrillation (simple AMI group) was evaluated on Prediction of ventricular fibrillation using HRV parameters (AUC 0.761 to 0.819, p=<0.05). Heart rate variability parameters on dynamic electrocardiogram, particularly PNN50% (AUC 0.819), significantly predicted ventricular fibrillation in elderly patients with acute myocardial infarction.
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