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Aims
We tested the hypothesis that a machine learning (ML) algorithm utilizing both complex echocardiographic data and clinical parameters could be used to phenogroup a heart failure (HF) cohort and identify patients with beneficial response to cardiac resynchronization therapy (CRT).
Methods and results
We studied 1106 HF patients from the Multicenter Automatic Defibrillator Implantation Trial...
There are limited data on the significance of left ventricular (LV) lead pacing polarity to predict clinical outcomes.We aimed to determine the association between the LV lead pacing polarity for heart failure (HF) or death and ventricular tachyarrhythmias (VTA) in patients enrolled in MADIT-CRT (Multicenter Automatic Defibrillator Implantation Trial with Cardiac Resynchronization Therapy), receiving...
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