Impaired heart rate variability in patients with arrhythmogenic cardiomyopathy: A multicenter retrospective study in China

Zhang, Baowei; Zhou, Chunjiang; Liu, Jinqiu; Zhang, Jinlin; Jiang, Chenyang; Tang, Min; Xie, Jiaxi; Wu, Yizhang; Xie, Xin; Li, Xiaorong; Yu, Jinbo; Wang, Xuecheng; Cheng, Dian; Zhou, Jian; Chen, Zijun; Fan, Fenghua; Zhou, Xiujuan; Tao, Aibin; Yang, Bing

doi:10.3389/fcvm.2022.1044797

Cited by 2 publications

(1 citation statement)

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“…Both SDNN and SDANN reflect a greater contribution of sympathetic nervous activity to HRV, and decreased levels of SDNN and SDANN indicate increased sympathetic tone. rMSSD and pNN50 are reliable indicators of parasympathetic tone 12–14 …”

Section: Methodsmentioning

confidence: 99%

The significance of heart rate variability in patients with frequent premature ventricular complex originating from the ventricular outflow tract

Zhang,

Yu,

et al. 2023

Clinical Cardiology

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BackgroundAs an indicator of cardiac autonomic nervous activity, heart rate variability (HRV) is closely linked to premature ventricular complexes (PVCs). However, its role in patients with frequent PVCs originating from the ventricular outflow tract remains unclear.HypothesisHere, we hypothesize that there may be alterations in HRV among patients with frequent PVCs originating from the ventricular outflow tract, which could play significant roles in the management of such patients.MethodsA retrospective study was conducted, including 106 patients with frequent outflow tract PVCs and 106 healthy participants as controls. HRV was assessed based on the 24‐hour Holter recording. The originating foci of PVCs were identified during radiofrequency catheter ablation.ResultsPatients with frequent outflow tract PVCs exhibited decreased levels of high frequency (HF), standard deviation of all NN intervals, and standard deviation of the average NN intervals, but increased ratios of low frequency to HF (LF/HF ratio), even after propensity score‐matched analysis. Further investigation revealed that patients with PVCs originating from right ventricular outflow tract (RVOT) had much higher LF/HF ratios. Multivariate logistic regression analysis demonstrated that the LF/HF ratio was independently associated with PVCs originating from RVOT. Receiver operating characteristics curve indicated that the LF/HF ratio effectively determined the origin of PVCs (the area under the curve = 0.75, p < .001).ConclusionsPatients with frequent outflow tract PVCs exhibited impaired HRV. Additionally, the LF/HF ratio played a significant role in determining the origin of outflow tract PVCs.

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Section: Methodsmentioning

confidence: 99%

The significance of heart rate variability in patients with frequent premature ventricular complex originating from the ventricular outflow tract

Zhang,

Yu,

et al. 2023

Clinical Cardiology

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A new prediction model for sustained ventricular tachycardia in arrhythmogenic cardiomyopathy

Zhang,

Xie,

et al. 2024

Front. Cardiovasc. Med.

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BackgroundArrhythmogenic cardiomyopathy (ACM) is an inherited cardiomyopathy characterized by high risks of sustained ventricular tachycardia (sVT) and sudden cardiac death. Identifying patients with high risk of sVT is crucial for the management of ACM.MethodsA total of 147 ACM patients were retrospectively enrolled in the observational study and divided into training and validation groups. The least absolute shrinkage and selection operator (LASSO) regression model was employed to identify factors associated with sVT. Subsequently, a nomogram was constructed based on multivariable logistic regression analysis. The performance of the nomogram was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and calibration curve. Decision curve analysis was conducted to assess the clinical utility of the nomogram.ResultsSeven parameters were incorporated into the nomogram: age, male sex, syncope, heart failure, T wave inversion in precordial leads, left ventricular ejection fraction (LVEF), SDNN level. The AUC of the nomogram to predict the probability of sVT was 0.867 (95% CI, 0.797–0.938) in the training group and 0.815 (95% CI, 0.673–0.958) in the validation group. The calibration curve demonstrated a good consistency between the actual clinical results and the predicted outcomes. Decision curve analysis indicated that the nomogram had higher overall net benefits in predicting sVT.ConclusionWe have developed and internally validated a new prediction model for sVT in ACM. This model could serve as a valuable tool to accurately identify ACM patients with high risk of sVT.

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Impaired heart rate variability in patients with arrhythmogenic cardiomyopathy: A multicenter retrospective study in China

Cited by 2 publications

References 35 publications

The significance of heart rate variability in patients with frequent premature ventricular complex originating from the ventricular outflow tract

The significance of heart rate variability in patients with frequent premature ventricular complex originating from the ventricular outflow tract

A new prediction model for sustained ventricular tachycardia in arrhythmogenic cardiomyopathy

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