{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T19:26:43Z","timestamp":1792178803634,"version":"4.4.0"},"reference-count":22,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,3,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background and Aims<\/jats:title>\n                  <jats:p>Risk stratification for mitral valve transcatheter edge-to-edge repair (M-TEER) is paramount in the decision-making process to appropriately select patients with severe secondary mitral regurgitation (SMR). This study sought to develop and validate an artificial intelligence-derived risk score (EuroSMR score) to predict 1-year outcomes (survival or survival + clinical improvement) in patients with SMR undergoing M-TEER.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>An artificial intelligence-derived risk score was developed from the EuroSMR cohort (4172 and 428 patients treated with M-TEER in the derivation and validation cohorts, respectively). The EuroSMR score was validated and compared with established risk models.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The EuroSMR risk score, which is based on 18 clinical, echocardiographic, laboratory, and medication parameters, allowed for an improved discrimination of surviving and non-surviving patients (hazard ratio 4.3, 95% confidence interval 3.7\u20135.0; P &amp;lt; .001), and outperformed established risk scores in the validation cohort. Prediction for 1-year mortality (area under the curve: 0.789, 95% confidence interval 0.737\u20130.842) ranged from &amp;lt;5% to &amp;gt;70%, including the identification of an extreme-risk population (2.6% of the entire cohort), which had a very high probability for not surviving beyond 1 year (hazard ratio 6.5, 95% confidence interval 3.0\u201314; P &amp;lt; .001). The top 5% of patients with the highest EuroSMR risk scores showed event rates of 72.7% for mortality and 83.2% for mortality or lack of clinical improvement at 1-year follow-up.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/eurheartj\/ehad871","type":"journal-article","created":{"date-parts":[[2024,1,20]],"date-time":"2024-01-20T10:46:09Z","timestamp":1705747569000},"page":"922-936","source":"Crossref","is-referenced-by-count":59,"title":["Artificial intelligence-derived risk score for mortality in secondary mitral regurgitation treated by transcatheter edge-to-edge repair: the EuroSMR risk score"],"prefix":"10.1093","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2909-7961","authenticated-orcid":false,"given":"J\u00f6rg","family":"Hausleiter","sequence":"first","affiliation":[{"name":"Medizinische Klinik und Poliklinik I, Klinikum der Universit\u00e4t M\u00fcnchen , Marchioninistr. 15 , Munich D-81377, Germany"},{"name":"German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance , Munich , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1798-550X","authenticated-orcid":false,"given":"Mark","family":"Lachmann","sequence":"additional","affiliation":[{"name":"German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance , Munich , Germany"},{"name":"First Department of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1362-1493","authenticated-orcid":false,"given":"Lukas","family":"Stolz","sequence":"additional","affiliation":[{"name":"Medizinische Klinik und Poliklinik I, Klinikum der Universit\u00e4t M\u00fcnchen , Marchioninistr. 15 , Munich D-81377, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Bedogni","sequence":"additional","affiliation":[{"name":"Department of Cardiology, IRCCS Policlinico San Donato, San Donato 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