Important tips reflected in our daily practice from the American College of Cardiology Electrophysiology Council report on premature ventricular contractions

Babayiğit, Erdi; Ulus, Taner; Görenek, Bülent

doi:10.14744/anatoljcardiol.2020.91572

Cited by 3 publications

(3 citation statements)

References 56 publications

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“…The following 2016 European Association of Cardiovascular Imaging (EACVI) criteria for LVDD were used to evaluate abnormal values of traditional LV diastolic parameters: (i) LAVI > 34 mL/m 2 ; (ii) tricuspid regurgitation jet peak velocity > 2.8 m/s; (iii) septal Em < 7 cm/s or lateral Em < 10 cm/s using TDI; and (iv) mitral average septal–lateral E /Em ratio > 14. In line with this, LVDD was determined when >50% of the aforementioned criteria were positives and normal LV diastolic function was determined when <50% of these criteria were positives.…”

Section: Discussionmentioning

confidence: 99%

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Does Premature Ventricular Complex Impair Left Ventricular Diastolic Functions?

Keleş¹

2023

Anatol J Cardiol

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Background: A higher frequency of premature ventricular complexes is associated with a higher risk of premature ventricular complex-induced cardiomyopathy. Although there are several studies on the systolic functions of the left ventricle in this patient group, it is clearly not known how the diastolic functions of the left ventricle are affected. This study examined the effect of premature ventricular complex on left ventricle diastolic functions using diastolic strain rate. Methods: The trial included 57 patients with frequent premature ventricular complexes and 54 healthy volunteers. The patient was evaluated using echocardiography in its entirety. The vendor-independent software system determined systolic and diastolic strain parameters via 2-dimensional speckle tracking analysis. Using the auto strain 3P semi-automated endocardial boundary tracking instrument, the global longitudinal strain was measured from the apical 4-chamber, 2-chamber, and long axis. The diastolic strain rate was determined by averaging the strain rates of 17 cardiac segments at 2 distinct periods of diastole. Results: In the patient group, early diastolic strain rate was significantly lower than that in the control group (1.62 ± 0.58 vs. 1.25 ± 0.38, P < .001). There were found to be significant negative connections between PVC's electrocardiographic QRS wave length and early diastolic strain rate and coupling interval and early diastolic strain rate. Significant positive associations between coupling interval and early diastolic strain rate were discovered ( P < .001 and P < .001, respectively). Conclusions: Patients with premature ventricular complex exhibited a lower early diastolic strain rate than healthy individuals. The early diastolic strain rate can be used to predict left ventricle diastolic dysfunction, and persons with premature ventricular complex may have a higher risk of left ventricle diastolic dysfunction than the general population.

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Section: Discussionmentioning

confidence: 99%

“…In cases when PVCs exacerbate a preexisting cardiomyopathy, suppression of PVCs may result in a partial recovery of left ventricular dysfunction. 1 , 2 …”

Section: Introductionmentioning

confidence: 99%

Does Premature Ventricular Complex Impair Left Ventricular Diastolic Functions?

Keleş¹

2023

Anatol J Cardiol

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“…Above 1.5% of the residents who received 12-lead ECG had PVCs, and nearly 1/6 of subjects who received 24-h Holter ECG were diagnosed with PVCs. According to the report provided by the American College of Cardiology Electrophysiology Council, PVC is related to left ventricular dysfunction and cardiomyopathy [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Automatic Premature Ventricular Contraction Detection Using Deep Metric Learning and KNN

Wang

Chen

et al. 2021

Biosensors

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Premature ventricular contractions (PVCs), common in the general and patient population, are irregular heartbeats that indicate potential heart diseases. Clinically, long-term electrocardiograms (ECG) collected from the wearable device is a non-invasive and inexpensive tool widely used to diagnose PVCs by physicians. However, analyzing these long-term ECG is time-consuming and labor-intensive for cardiologists. Therefore, this paper proposed a simplistic but powerful approach to detect PVC from long-term ECG. The suggested method utilized deep metric learning to extract features, with compact intra-product variance and separated inter-product differences, from the heartbeat. Subsequently, the k-nearest neighbors (KNN) classifier calculated the distance between samples based on these features to detect PVC. Unlike previous systems used to detect PVC, the proposed process can intelligently and automatically extract features by supervised deep metric learning, which can avoid the bias caused by manual feature engineering. As a generally available set of standard test material, the MIT-BIH (Massachusetts Institute of Technology-Beth Israel Hospital) Arrhythmia Database is used to evaluate the proposed method, and the experiment takes 99.7% accuracy, 97.45% sensitivity, and 99.87% specificity. The simulation events show that it is reliable to use deep metric learning and KNN for PVC recognition. More importantly, the overall way does not rely on complicated and cumbersome preprocessing.

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Detection of Premature Ventricular Contractions Using Machine Learning

Ünlü,

Eroğul

2023

2023 Medical Technologies Congress (TIPTEKNO)

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Important tips reflected in our daily practice from the American College of Cardiology Electrophysiology Council report on premature ventricular contractions

Cited by 3 publications

References 56 publications

Does Premature Ventricular Complex Impair Left Ventricular Diastolic Functions?

Does Premature Ventricular Complex Impair Left Ventricular Diastolic Functions?

Automatic Premature Ventricular Contraction Detection Using Deep Metric Learning and KNN

Detection of Premature Ventricular Contractions Using Machine Learning

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