10/22/2026
π¬ Editorial by Marianna Fontana, MD, PhD, Julian Gillmore, MD, PhD, and Scott David Solomon, MD: In , risk prediction is shifting from static staging at diagnosis toward models that incorporate treatment status and better reflect prognosis in contemporary treated populations. This editorial indicates that machine learning-based prediction improved discrimination compared with National Amyloidosis Centre and Mayo staging systems and may support more granular baseline risk assessment.
Risk stratification in transthyretin amyloid cardiomyopathy (ATTR-CM) has long relied on 2 staging systems developed more than a decade ago, the National Amyloidosis Centre (NAC)1,2 and Mayo staging systems,3 both built on cardiac biomarkers and kidney function. They have served the field well,...