{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T18:31:02Z","timestamp":1775845862843,"version":"3.50.1"},"reference-count":32,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2021,3,31]],"date-time":"2021-03-31T00:00:00Z","timestamp":1617148800000},"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":["Int J Clinical Practice"],"published-print":{"date-parts":[[2021,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Red cell distribution width (RDW) is recently emerging as a prognostic indicator in many cardiovascular diseases. However, less is known about its predictive role in patients undergoing transcatheter aortic valve implantation (TAVI).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We retrospectively included very high\u2010risk patients with severe aortic valve stenosis undergoing TAVI between February 2012 and December 2019. Patients were classified according to RDW tertiles. Our primary endpoint was long\u2010term all\u2010cause mortality. The secondary endpoint was a composite of in\u2010hospital major adverse events as defined by the Valve Academic Research Consortium 2 criteria and\/or long\u2010term all\u2010cause mortality.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 424 patients [median age 83.5\u00a0years, 52.6% females] were analysed. After a median follow\u2010up of 1.55\u00a0years, all\u2010cause mortality was 25.5%. At the multivariate\u2010adjusted Cox regression analysis, patients in the highest RDW tertile were associated with a higher risk for all\u2010cause mortality [hazard ratio [HR] 1.73, 95%confidence interval [CI] 1.02\u20102.95] compared with the lowest tertile. When considering RDW as a continuous variable, we found an 11% increased risk in overall mortality [HR 1.11, 95% CI 1.00\u20101.24] for each increased point in RDW. The highest RDW tertile was also independently associated with the occurrence of the composite endpoint [odds ratio [OR] 2.10, 95% CI 1.17\u20103.76] compared with lower tertiles.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>In our cohort, elevated basal RDW values were independent predictors of increased long\u2010term mortality and higher rate of in\u2010hospital adverse events. The inclusion of a routinely available biomarker as RDW, may help the pre\u2010operative risk assessment in potential TAVI candidates and optimise their management.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijcp.14153","type":"journal-article","created":{"date-parts":[[2021,3,18]],"date-time":"2021-03-18T16:19:57Z","timestamp":1616084397000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Red blood cell distribution width in patients undergoing transcatheter aortic valve implantation: Implications for outcomes"],"prefix":"10.1155","volume":"75","author":[{"given":"Anna Chiara","family":"Valenti","sequence":"first","affiliation":[{"name":"Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences University of Modena and Reggio Emilia Policlinico di Modena Modena 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