Electrocardiography of cardiac resynchronization therapy: Pitfalls and practical tips.
Antonis A ManolisAntonis A ManolisTheodora A ManolisHelen MelitaPublished in: Journal of cardiovascular electrophysiology (2021)
Cardiac resynchronization therapy (CRT) has been established as an effective mode of therapy in patients with heart failure and concurrent cardiac dyssynchrony, principally in the form of left bundle branch block (LBBB). The widespread use of CRT has ushered in a new landscape in 12-lead electrocardiography (ECG). ECG readings in these patients are most important to guide troubleshooting and also appropriate device programming, as well as discerning and managing nonresponders. A set of four ECG recordings need to accompany each patient with a CRT device, including a baseline ECG and recordings from monochamber (right and left ventricular) and biventricular pacing, which can be compared against a new recording to facilitate the evaluation of proper versus problematic biventricular pacing. Precordial ECG leads V1/2 acquired at the fourth intercostal space and limb leads, I and III, together with a quick assessment of perpendicular leads I and aVF to determine the quadrant of the QRS axis in the hexaxial diagram, may provide the framework for proper ECG interpretation in these patients. This important issue of 12-lead ECG in CRT patients is herein reviewed, pitfalls are pointed out and practical tips are provided for ECG reading to help recognize and manage problems with CRT device function. Furthermore, several pertinent ECG recordings and tabulated data are provided, and an algorithm is suggested that integrates prior algorithms and relevant information from current literature.
Keyphrases
- cardiac resynchronization therapy
- left ventricular
- heart failure
- heart rate variability
- heart rate
- end stage renal disease
- ejection fraction
- hypertrophic cardiomyopathy
- mitral valve
- systematic review
- left atrial
- prognostic factors
- aortic stenosis
- acute myocardial infarction
- peritoneal dialysis
- stem cells
- machine learning
- mental health
- squamous cell carcinoma
- working memory
- deep learning
- coronary artery disease
- blood pressure
- patient reported outcomes
- electronic health record
- acute coronary syndrome
- single cell
- locally advanced
- cell therapy