Chronology of cardiac dysfunction after permanent pacemaker implantation: an observational 2 year prospective study in North India

Gupta, Harshit; Showkat, Hakim İrfan; Aslam, Naved; Tandon, Rohit; Wander, GS; Gupta, Shweta; Anwar, Sadaf; Sohil, Mohd Maqbool

doi:10.1186/s42444-021-00040-0

Cited by 2 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RV pacing is also responsible for LV intraventricular desynchrony, which in turn increases myocardial wall stress and leads to LV failure on long-term follow-up [ 4 – 6 ]. Echocardiographic studies have proven the increased ventricular cavity dimensions postpacemaker implantation which were apparent after 6 months of implantation [ 7 ]. In the long term, this results in cardiac dysfunction, specifically impairing LV function and called pacemaker-induced cardiomyopathy [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Novel Radiomics Features for Automated Detection of Cardiac Abnormality in Patients with Pacemaker

Pai

Ardakani

Kamath

et al. 2022

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Cardiac pacemakers are used in the treatment of patients with symptomatic bradycardia. The pacemaker paces the heart at the predetermined rate to maintain uninterrupted cardiac activity. Usually, pacemaker lead will be connected to the right atrium (RA) and right ventricle (RV) in dual-chamber pacemaker implantation and RV alone in single-chamber pacemaker implantation. This alters the route of proper conduction across the myocardial cells. The cell-to-cell conduction transmission in pacing delays the activation of selected intraventricular myocardial activation. Pacing-induced cardiomyopathy (PICM) is most commonly defined as a drop in left ventricle ejection fraction (LVEF) in the setting of chronic, high-burden right ventricle (RV) pacing. Currently, very few effective treatments are standard for PICM which rely on the detection of the RV pacing. Such treatments have primarily focused on upgrading to cardiac resynchronization therapy (CRT) when LVEF has dropped. However, the early and accurate detection of these stress factors is challenging. Cardiac desynchrony and interventricular desynchrony can be determined by various echocardiographic techniques, including M-mode, Doppler method, tissue Doppler method, and speckle tracking echocardiography which is subjective measures and shows a significant difference between RV and LV preejection period where the activation of LV is delayed considerably. Computer-aided diagnosis (CAD) is a noninvasive technique that can classify the ultrasound images of the heart in pacemaker-implanted patients and healthy patients with normal left ventricular systolic function and further detect the variations in pacemaker functions in its early stage using heart ultrasound images. Developing such a system requires a vast and diverse database to reach optimum performance. This paper proposes a novel CAD tool for the accurate detection of pacemaker variations using machine learning models of decision tree, SVM, random forest, and AdaBoost. The models have been used to extract radiomics features in terms of textures and then screened by their Relief-F scores for selection and ranking to be classified into nine groups consisting of up to 250 radiomics features. Ten best features were fed to the machine learning models. The R-wave dataset achieved a maximum test performance accuracy of 97.73% with four features in the random forest model. The T-wave dataset achieved a maximum test performance accuracy of 96.59% with three features in the SVM model. Our experimental results demonstrate the system’s robustness, which can be developed as an early and accurate detection system for pacing-induced cardiomyopathy.

show abstract

Section: Introductionmentioning

confidence: 99%

Novel Radiomics Features for Automated Detection of Cardiac Abnormality in Patients with Pacemaker

Pai

Ardakani

Kamath

et al. 2022

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

show abstract

Impact of single chamber and dual chamber permanent pacemaker implantation on left ventricular function: An observational study

Haque,

Bhandari,

Pradhan

et al. 2024

World J Cardiol

View full text Add to dashboard Cite

BACKGROUND Permanent pacemaker implantation has the potential to impact left ventricular (LV) function and hence quality of life (QoL) in the long term. AIM To assess the effect of single- and dual-chamber pacing on LV function and QoL. METHODS This study included 56 patients who underwent permanent pacing: Dual pacing, dual sensing, dual responsive and rate responsive (DDDR) for the initial 3 months, ventricular sensing, inhibited response and rate responsive (VVIR) for the next 3 months, and DDDR mode for the last 3 months. Throughout the study period, various echocardiographic parameters, functional status, and QoL were measured to assess the impact of pacing on LV function compared with baseline and at every 3 months interval. RESULTS A significant change appeared in cardiac function after VVIR pacing which was in diastolic properties of LV as shown by increase in isovolumic relaxation time from (85.28 ± 9.54 ms) to (89.53 ± 9.65 ms). At the 3-, 6-, and 9-month follow-up, reduction in LV ejection fraction was observed to be 62.71 ± 4.66%, 61.07 ± 4.41%, and 58.48 ± 3.89%, respectively. An increase in the QoL scores was noted at every follow-up visit. CONCLUSION An apparent depressant effect on LV function due to right ventricular pacing, with a higher incidence of adverse outcomes in the VVIR mode. In addition, an upsurge in QoL scores for the study population was noted, which indicates improvement in the QoL of patients post-pacing, irrespective of the mode. Generally, the DDDR mode is a highly preferable pacing mode.

show abstract

Chronology of cardiac dysfunction after permanent pacemaker implantation: an observational 2 year prospective study in North India

Cited by 2 publications

References 27 publications

Novel Radiomics Features for Automated Detection of Cardiac Abnormality in Patients with Pacemaker

Novel Radiomics Features for Automated Detection of Cardiac Abnormality in Patients with Pacemaker

Impact of single chamber and dual chamber permanent pacemaker implantation on left ventricular function: An observational study

Contact Info

Product

Resources

About