Subclinical left atrium remodelling in patients with frequent premature ventricular contractions

Cozma, D.; Streian, C; Petrescu, Lucian; Mornos, C.

doi:10.5603/kp.a2014.0133

Cited by 10 publications

(29 citation statements)

References 18 publications

(20 reference statements)

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“…Compatible with the previous study, PALS was lower in patients with RVOT‐fVES and pEF . Two previous studies found increased LA volume or indexes in patients with fVES and with normal ejection fractions . Unlike these studies, LAVI was not different between patients and controls in our study; this finding suggested that PALS and AED may be affected before left atrial enlargement occurs in patients with RVOT‐fVES and pEF.…”

Section: Discussionsupporting

confidence: 56%

“…We concluded that PALS and AED were deteriorated in patients with fVES, which were shown as risk factors for AF development in previous studies . It has been shown that incidence of new‐onset AF is higher in patients with multiform fVES .…”

Section: Discussionmentioning

confidence: 57%

“…A similar improvement was observed in the left ventricular circumferential and longitudinal strains of patients with fVES and pEF after they underwent successful RF ablation treatments . Although the associations among fVES and worsened ventricular functions have been thoroughly studied, few studies have investigated the role of atrial function in fVES . Barutçu et al examined deteriorated atrial strain in patients without structural heart disease and fVES .…”

Section: Introductionmentioning

confidence: 71%

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Effects of atrial electromechanical delay and ventriculoatrial conduction over the atrial functions in patients with frequent extrasystole and preserved ejection fraction

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Kılıçgedik

et al. 2019

Pacing Clinical Electrophis

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Background:The deterioration of left atrial and ventricular functions was demonstrated in patients with frequent ventricular extrasystole (fVES). The exact pathophysiology of left atrial dysfunction in patients with fVES is unclear. Retrograde ventriculoatrial conduction (VAC) often accompanies fVES, which may contribute to atrial dysfunction. We investigated whether atrial electromechanical delay and VAC are related to these atrial functions in patients with frequent right ventricular outflow tract (RVOT) VES and preserved ejection fraction (pEF). Methods:This study included 21 patients with pEF (eight males, 48 ± 11 years), who had experienced more than 10 000 RVOT-VES during 24-h Holter monitoring and had undergone electrophysiological study/ablation. The study also included 20 healthy age-and sex-matched control subjects. Transthoracic echocardiography was performed on all of the subjects. Atrial conduction time was obtained by using tissue Doppler imaging. Strain analysis was performed with two-dimensional speckle tracking echocardiography. Results:The peak atrial longitudinal strain was significantly impaired in patients with fVES (P = 0.01). In addition, although the interatrial and left atrial conduction delay times were significantly different between each group (P < 0.001, P < 0.001), the right atrial conduction delay times were similar. When patients with fVES were divided into groups depending on the existence of retrograde VAC, atrial deformation parameters and conduction delay time did not significantly differ between either group.Conclusion: Frequent RVOT-VES causes left atrial dysfunction. This information is obtained through strain analyses and recordings of left atrial conduction times in patients with pEF. Regardless, retrograde VAC is not related to atrial dysfunction. K E Y W O R D Satrial conduction time, atrial fibrillation, electrophysiological study, left atrial deformation, speckle-tracking strain imaging, ventricular extrasystole, ventriculoatrial conduction

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Section: Discussionsupporting

confidence: 56%

Section: Discussionmentioning

confidence: 57%

Section: Introductionmentioning

confidence: 71%

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Effects of atrial electromechanical delay and ventriculoatrial conduction over the atrial functions in patients with frequent extrasystole and preserved ejection fraction

Gürbüz

Öztürk

Kılıçgedik

et al. 2019

Pacing Clinical Electrophis

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“… b Represents the follow-up period range using mean/median years (or months [mo] when indicated). References not reporting the follow-up timeframe [ 36 , 44 , 48 , 55 , 62 , 63 , 65 , 82 , 91 , 93 ]. Details on follow-up period for all studies are available in S3 Table .…”

Section: Resultsmentioning

confidence: 99%

Diagnostic and prognostic significance of premature ventricular complexes in community and hospital-based participants: A scoping review

Suba

Fleischmann²,

Schell-Chaple³

et al. 2021

PLoS ONE

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Background While there are published studies that have examined premature ventricular complexes (PVCs) among patients with and without cardiac disease, there has not been a comprehensive review of the literature examining the diagnostic and prognostic significance of PVCs. This could help guide both community and hospital-based research and clinical practice. Methods Scoping review frameworks by Arksey and O’Malley and the Joanna Briggs Institute (JBI) were used. A systematic search of the literature using four databases (CINAHL, Embase, PubMed, and Web of Science) was conducted. The review was prepared adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Review (PRISMA-ScR). Results A total of 71 relevant articles were identified, 66 (93%) were observational, and five (7%) were secondary analyses from randomized clinical trials. Three studies (4%) examined the diagnostic importance of PVC origin (left/right ventricle) and QRS morphology in the diagnosis of acute myocardial ischemia (MI). The majority of the studies examined prognostic outcomes including left ventricular dysfunction, heart failure, arrhythmias, ischemic heart diseases, and mortality by PVCs frequency, burden, and QRS morphology. Conclusions Very few studies have evaluated the diagnostic significance of PVCs and all are decades old. No hospital setting only studies were identified. Community-based longitudinal studies, which make up most of the literature, show that PVCs are associated with structural and coronary heart disease, lethal arrhythmias, atrial fibrillation, stroke, all-cause and cardiac mortality. However, a causal association between PVCs and these outcomes cannot be established due to the purely observational study designs employed.

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“…HRV analysis, in time or frequency domain, is a reliable, noninvasive method for the assessment of autonomic functions, by several parameters currently used to characterize the physiological spontaneous fluctuations in heart rate (HR) and normal R-R intervals [ 10 ]. This method is used in physiological models and various pathological states, for the assessment of cardiovascular risk [ 11 , 12 , 13 ]. Certain parameters as the root mean square of the successive differences (RMSSD) and high-frequency power (HF) characterize mainly the PNS function [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impact of Alcohol Consumption Patterns on Heart Rate Variability by Machine Learning in Healthy Young Adults

et al. 2021

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Background and Objectives: Autonomic nervous system (ANS) dysfunction is present in early stages of alcohol abuse and increases the likelihood of cardiovascular events. Given the nonlinear pattern of dynamic interaction between sympathetic nervous system (SNS) and para sympathetic nervous system (PNS) and the complex relationship with lifestyle factors, machine learning (ML) algorithms are best suited for analyzing alcohol impact over heart rate variability (HRV), because they allow the analysis of complex interactions between multiple variables. This study aimed to characterize autonomic nervous system dysfunction by analysis of HRV correlated with cardiovascular risk factors in young individuals by using machine learning. Materials and Methods: Total of 142 young adults (28.4 ± 4.34 years) agreed to participate in the study. Alcohol intake and drinking patterns were assessed by the AUDIT (Alcohol Use Disorders Identification Test) questionnaire and the YAI (Yearly Alcohol Intake) index. A short 5-min HRV evaluation was performed. Post-hoc analysis and machine learning algorithms were used to assess the impact of alcohol intake on HRV. Results: Binge drinkers presented slight modification in the frequency domain. Heavy drinkers had significantly lower time-domain values: standard deviation of RR intervals (SDNN) and root mean square of the successive differences (RMSSD), compared to casual and binge drinkers. High frequency (HF) values were significantly lower in heavy drinkers (p = 0.002). The higher low-to-high frequency ratio (LF/HF) that we found in heavy drinkers was interpreted as parasympathetic inhibition. Gradient boosting machine learner regression showed that age and alcohol consumption had the biggest scaled impact on the analyzed HRV parameters, followed by smoking, anxiety, depression, and body mass index. Gender and physical activity had the lowest impact on HRV. Conclusions: In healthy young adults, high alcohol intake has a negative impact on HRV in both time and frequency-domains. In parameters like HRV, where a multitude of risk factors can influence measurements, artificial intelligence algorithms seem to be a viable alternative for correct assessment.

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Subclinical left atrium remodelling in patients with frequent premature ventricular contractions

Abstract: Frequent PVCs are associated with larger LAV and trapezoidal LA shape in otherwise healthy patients, suggesting LA remodelling in response to increased LV filling pressure.

Cited by 10 publications

References 18 publications

Effects of atrial electromechanical delay and ventriculoatrial conduction over the atrial functions in patients with frequent extrasystole and preserved ejection fraction

Effects of atrial electromechanical delay and ventriculoatrial conduction over the atrial functions in patients with frequent extrasystole and preserved ejection fraction

Diagnostic and prognostic significance of premature ventricular complexes in community and hospital-based participants: A scoping review

Assessment of the Impact of Alcohol Consumption Patterns on Heart Rate Variability by Machine Learning in Healthy Young Adults

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