Publications by authors named "Michael E Killian"
The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.
Milagros Pereyra Pietri Juan M Farina Ahmed K Mahmoud Isabel G Scalia Francesca Galasso Michael E Killian
Eur Heart J Digit Health
May 2024
Article Synopsis
- The study focuses on cardiac amyloidosis (CA) in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement (TAVR), highlighting that CA commonly leads to poor outcomes for these patients.
- The researchers analyzed data from 1,426 TAVR patients using an ECG AI model to predict CA risk, discovering that 24.4% had a high probability of CA, yet only 1.2% were clinically diagnosed.
- Results showed that a high CA probability significantly correlated with increased all-cause mortality and rates of major adverse cardiovascular events, particularly heart failure hospitalizations, suggesting that these patients should undergo further diagnostic assessment for CA.