scholarly journals Chylothorax after cardiac resynchronization therapy-pacemaker implantation: A case report

2021 ◽  
Author(s):  
Yoshiyuki Okuya ◽  
Youssef Elias ◽  
Bryce Yantis ◽  
Anuj Garg
Keyword(s):  
Case Report ◽  
Cardiac Resynchronization Therapy ◽  
Pacemaker Implantation ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy

scholarly journals Physiological pacing to improve cardiac resynchronization therapy non-responder and a tryst with calcified septum—a case report

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Vanita Arora ◽  
Francesco Zanon ◽  
Viveka Kumar ◽  
Vivek Kumar ◽  
Pawan Suri
Keyword(s):  
Case Report ◽  
Cardiac Resynchronization Therapy ◽  
Ischemic Cardiomyopathy ◽  
Cardiac Resynchronization ◽  
Conduction Delay ◽  
Resynchronization Therapy ◽  
Intraventricular Conduction ◽  
Technological Approach ◽  
Intraventricular Septum ◽  
Intraventricular Conduction Delay

Abstract Background As per the literature, patients with intraventricular conduction delay (IVCD) do not respond well to cardiac resynchronization therapy (CRT) alone. They need advanced technological approach and out of the box thinking for a good response. Case Ours is a case of ischemic cardiomyopathy with wide QRS-IVCD, a non-responder to CRT. While planning for replacement of the device for early replacement indicator (ERI), we decided to do His-optimized CRT/left bundle optimized CRT (HOT-CRT/LOT-CRT) for the patient. Conclusion The challenges we faced with the present available hardware paved a way for insisting on the limitation of the available lumenless lead to penetrate calcified the septum and importance of the pre-procedure evaluation of intraventricular septum (IVS) for calcification by more than just echocardiography.

scholarly journals Clustering Based Cardiac Resynchronization Therapy Prediction using Open Source Toolkit PRTools

2005 ◽  
Author(s):  
Heng Huang ◽  
Li Shen ◽  
Rong Zhang ◽  
Fillia Makedon ◽  
Justin Pearlman
Keyword(s):  
Cardiac Resynchronization Therapy ◽  
Open Source ◽  
Pearson Correlation ◽  
Pacemaker Implantation ◽  
Correlation Coefficients ◽  
Cardiac Resynchronization ◽  
Resynchronization Therapy ◽  
Agglomerative Clustering ◽  
Hierarchical Agglomerative Clustering ◽  
Main Components

We propose a novel framework at MICCAI 2005 to predict pacing sites in the left ventricle (LV) of a heart. This framework can be used to assist pacemaker implantation and programming in cardiac resynchronization therapy (CRT) that is a widely adopted therapy for heart failure patients. Hierarchical agglomerative clustering technique is performed to the time series of LV wall thickness to identify pacing site candidates. Meanwhile, pearson correlation coefficients of wall motion series show the dissimilarity between them. These main components of our clustering based prediction framework are implemented by using open source software toolkit PRTools.

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