Background: Right ventricular (RV) failure has proven to be independently associated with adverse outcomes. Electrocardiographic parameters assessing RV function are largely unknown, making echocardiography the first line for RV function assessment. It is however, limited by geometrical assumptions and is inferior to cardiac magnetic resonance imaging (CMRI) which is widely regarded as the most accurate tool for assessing RV function.
Methods: We seek to determine the correlation of ECG parameters of right bundle branch block (RBBB) with RV ejection fraction (EF) and RV dimensions using the CMRI. QRS duration, R amplitude and R' duration were obtained from precordial lead V1; S duration and amplitude were obtained from lead I and AVL. RV systolic dysfunction was defined as RV EF <40%. RV systolic dysfunction group (mean EF of 24±10%) were compared with normal RV systolic function group which acted as control (mean EF of 48±8%). CMRI and ECG parameters were compared between the two groups. Rank correlations and scatter diagrams between individual CMRI parameters and ECG parameters were done using medcalc for windows, version 12.5. Sensitivity, specificity and area under the curve (AUC) were calculated.
Results: RV systolic dysfunction group was found to have larger RV end systolic volumes (90±42 59±40 mL, P=0.02). ECG evaluation of RV dysfunction group revealed longer R' duration (103±22 84±18 msec, P=0.005) as compared to the control group. The specificity of R' duration >100 msec to detect RV systolic dysfunction was found to be 93%. R' duration was found to have an inverse correlation with RV EF (r=-0.49, P=0.007).
Conclusions: Larger RV end systolic volumes seen with RV dysfunction can affect the latter part of right bundle branch leading to prolonged R' duration. We here found prolonged R' duration in lead V1 to have a highly specific inverse correlation to RV systolic function. ECG can be used as an inexpensive tool for RV function assessment and should be used alongside echocardiography to evaluate RV dysfunction when CMRI is not available.
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http://dx.doi.org/10.21037/cdt.2016.04.02 | DOI Listing |
Curr Cardiol Rep
January 2025
Division of Cardiology, Department of Medicine, University of California San Francisco, 505 Parnassus Ave, M1180B, San Francisco, CA, 94143, USA.
Purpose Of Review: Cardiac conduction disease, a harbinger of pacemaker implantation, heart failure, and death, is commonly regarded as immutable. However, emerging research suggests it may be a target for upstream prevention strategies such as blood pressure management. This review summarizes recent evidence regarding blood pressure control and the development of conduction disease.
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Department of Cardiology, The First People's Hospital of Neijiang, Neijiang, China.
More than 1 million permanent pacemakers are implanted worldwide each year, half of which are in patients with high-grade atrioventricular block. Pacemakers provide adequate frequency support in the initial stage, but traditional right ventricular (RV) pacing may lead to or aggravate left ventricular dysfunction and arrhythmia. Several potential risk factors for heart failure and arrhythmias after pacemaker surgery have been identified, but their occurrence remains difficult to predict clinically.
View Article and Find Full Text PDFHeart Rhythm
January 2025
Division of Cardiology, University of California San Francisco, San Francisco, California, United States of America. Electronic address:
JACC Case Rep
December 2024
Department of Cardiology, Northern Beaches Hospital, Frenchs Forest, Australia.
A 72-year-old woman underwent left bundle branch area pacing, and subsequent transthoracic echocardiography demonstrated potential septal lead perforation. Transesophageal echocardiography revealed an intracardiac mass, which resolved with anticoagulation. This case highlights left ventricular thrombus as a potential complication of septal lead perforation.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Electronics and Communication Engineering, Rajiv Gandhi University, Rono Hills, Doimukh, ITANAGAR, Itanagar, Arunachal Pradesh, 791112, INDIA.
Accurate detection of cardiac arrhythmias is crucial for preventing premature deaths. The current study employs a dual-stage Discrete Wavelet Transform (DWT) and a median filter to eliminate noise from ECG signals. Subsequently, ECG signals are segmented, and QRS regions are extracted for further preprocessing.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!