{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T13:38:39Z","timestamp":1762177119962,"version":"3.40.5"},"reference-count":39,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2018,9,30]],"date-time":"2018-09-30T00:00:00Z","timestamp":1538265600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cathet Cardio Intervent"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Post\u2010procedural risk stratification based on renal function after trans aortic valve implantation (TAVI) was assessed by means of a modified age, creatinine, and ejection fraction (ACEF) score using the lowest glomerular filtration rate (GFR), obtained within 1\u2009week after valve implantation. We refer to the score as ACEF\u20107 score.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The Zurich\u2010 and Cardiocentro Ticino TAVI\u2010Cohorts comprised of 424, and 137 patients, who were not on hemodialysis and had already survived the first post\u2010procedural week. Zurich patients were stratified into tertiles of ACEF\u20107 score (ACEF\u20107<jats:sub>Low<\/jats:sub> \u2264 2.45 (<jats:italic>n<\/jats:italic> =\u2009138), ACEF\u20107<jats:sub>Mid<\/jats:sub> 2.46\u20134.38 (<jats:italic>n<\/jats:italic> =\u2009142), and ACEF\u20107<jats:sub>High<\/jats:sub> \u2265 4.39 (<jats:italic>n<\/jats:italic> =\u2009144) and compared for survival using KM curves. Euroscore II, Society of Thoracic Surgeons (STS), and ACEF were also calculated at baseline in all patients and assessed for prognostic significance in predicting the primary outcome of 1\u2010year all\u2010cause mortality using univariate and multivariate Cox regression models. Results were then confirmed in the Cardiocentro cohort.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Six months (18.1% vs. 6.3% vs. 2.9% <jats:italic>P<\/jats:italic> &lt; 0.001) and 1\u2010year all\u2010cause mortality (24.3% vs. 12.7% % vs. 5.8%, <jats:italic>P<\/jats:italic> &lt; 0.001), as well as the composite of death or rehospitalization (35% vs. 20% vs. 11% <jats:italic>P<\/jats:italic> &lt; 0.001) occurred significantly more frequently in the ACEF\u20107<jats:sub>High<\/jats:sub> compared to the other groups. Both Euroscore II and STS score were not predictors of mortality in our cohort. In a multivariate Cox regression model corrected for gender, Acute Kidney Injury, and baseline ACEF score, the ACEF\u20107 score was an independent predictor of 1\u2010year all\u2010cause mortality as a per point increment HR 1.512 [95% CI 1.227\u20131.862, <jats:italic>P<\/jats:italic> &lt; 0.001] and as ACEF\u20107<jats:sub>High<\/jats:sub> (\u22654.39); HR 5.541 [1.694\u201318.120]). In addition, the ACEF\u20107 tertiles showed a significant (<jats:italic>P<\/jats:italic> = 0.02) net reclassification improvement of 16% when compared to baseline tertiles of ACEF score, when assessing 1\u2010year all\u2010cause mortality.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Post\u2010procedural risk stratification using the simple ACEF\u20107 score significantly better predicted long\u2010term outcome than commonly used risk\u2010scores.<\/jats:p><jats:p>Practical implications could include contrast sparing and renal protection in high\u2010risk patients, emphasizing the importance of preventative measures.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ccd.27806","type":"journal-article","created":{"date-parts":[[2018,9,30]],"date-time":"2018-09-30T09:15:20Z","timestamp":1538298920000},"page":"141-148","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Post procedural risk assessment in patients undergoing trans aortic valve implantation according to the age, creatinine, and ejection fraction\u20107 score: Advantages of age, creatinine, and ejection fraction\u20107 in stratification of post\u2010procedural outcome"],"prefix":"10.1002","volume":"93","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5095-1523","authenticated-orcid":false,"given":"Andrea","family":"Denegri","sequence":"first","affiliation":[{"name":"University Heart Center, University Hospital  Zurich Switzerland"},{"name":"Cardiocentro Lugano University of Zurich  Lugano Switzerland"},{"name":"Cardiology Unit and Laboratory of Cardiovascular Biology IRCCS\u2010AOU San Martino\u2010IST University of Genova  Genoa Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roxana","family":"Mehran","sequence":"additional","affiliation":[{"name":"Mount Sinai Medical Center  New York New York"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"Holy","sequence":"additional","affiliation":[{"name":"University Heart Center, University Hospital  Zurich Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7295-1153","authenticated-orcid":false,"given":"Maurizio","family":"Taramasso","sequence":"additional","affiliation":[{"name":"University Heart Center, University Hospital  Zurich Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Pasotti","sequence":"additional","affiliation":[{"name":"Cardiocentro Lugano University of Zurich  Lugano Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"Pedrazzini","sequence":"additional","affiliation":[{"name":"Cardiocentro Lugano University of Zurich  Lugano 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