Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach.
Seyed Reza MirjaliliSepideh SoltaniZahra Heidari MeybodiPedro Marques-VidalDanial Dehghani FirouzabadiReza EshraghiDavid RestrepoHamed GhoshouniMohammadtaghi Sareban HassanabadiPublished in: Cardiovascular diabetology (2024)
Due to the simplicity of assessing the TyG-index with routine biochemical assays and given that the TyG-index was the most effective surrogate insulin resistance index for predicting CAD based on our results, it seems suitable for inclusion in future CAD prevention strategies.
Keyphrases
- coronary artery disease
- insulin resistance
- machine learning
- adipose tissue
- type diabetes
- metabolic syndrome
- percutaneous coronary intervention
- high fat diet
- cardiovascular events
- polycystic ovary syndrome
- skeletal muscle
- high fat diet induced
- artificial intelligence
- high throughput
- clinical practice
- deep learning
- aortic stenosis
- ejection fraction
- left ventricular
- transcatheter aortic valve replacement
- atrial fibrillation
- aortic valve