Artificial intelligence-derived risk score for mortality in secondary mitral regurgitation treated by transcatheter edge-to-edge repair: the EuroSMR risk score.
Jörg HausleiterMark LachmannLukas StolzFrancesco BedogniAntonio P RubbioRodrigo Estévez-LoureiroSergio Raposeiras-RoubinPeter BoekstegersNicole KaramVolker Rudolphnull nullPublished in: European heart journal (2024)
The EuroSMR risk score may allow for improved prognostication in heart failure patients with severe SMR, who are considered for a M-TEER procedure. The score is expected to facilitate the shared decision-making process with heart team members and patients.
Keyphrases
- artificial intelligence
- heart failure
- end stage renal disease
- machine learning
- ejection fraction
- big data
- chronic kidney disease
- deep learning
- cardiovascular events
- palliative care
- peritoneal dialysis
- type diabetes
- early onset
- minimally invasive
- patient reported outcomes
- drug induced
- acute heart failure
- patient reported