Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis
Analysis (n=15 659) concluded artificial intelligence clustering approach was able to distinguish prognostic response from β blockers. This included patients in sinus rhythm with suboptimal efficacy, and those with atrial fibrillation where β blockers reduced mortality.
Source:
The Lancet
SPS commentary:
It is suggested that artificial intelligence-based clustering approaches are able to incorporate and simultaneously adjust for multiple comorbidities, which could allow for more refined stratification of treatment response to common clinical treatments, leading to avoidance of adverse outcomes. Prospective evaluation in a randomised setting is required.