{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T03:54:36Z","timestamp":1777002876616,"version":"3.51.4"},"reference-count":23,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T00:00:00Z","timestamp":1593388800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004431","name":"Fondation de France","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004431","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Eur J Clin Investigation"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Few studies have focused on risk stratification for premature death after transplantation. However, stratification of individual risk is an essential step in personalized care.<\/jats:p><\/jats:sec><jats:sec><jats:title>Material and methods<\/jats:title><jats:p>We have developed a risk score of early post\u2010transplant death (ORLY score) in a prospective multicentre cohort including 942 patients and validated our model in a retrospective independent replication cohort including 874 patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>60 patients (6.4%) from the prospective cohort died during the first three\u2010year post\u2010transplant. Age, male gender, diabetes, dialysis duration and chronic respiratory failure were associated with early post\u2010transplant death. The multivariable model exhibited good discrimination ability (C\u2010index\u00a0=\u00a00.78, 95%CI [0.75\u20100.81]). ORLY score highly predicted early death after transplantation (1.34; 95%CI, 1.22 to 1.48 for each increase of 1 point in score; <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001). The predictive value of the score in the validation cohort was close to that observed in the experimental cohort (1.41; 95%CI, 1.27 to 1.56 for each increase of 1 point in score; <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001). Merging the two cohorts, four categories of risk could be individualized: low, 0\u20105 (n\u00a0=\u00a0522, mean risk, 1%); intermediate, 6\u20107 (n\u00a0=\u00a0739, mean risk 4.7%); moderate, 8\u201010 (n\u00a0=\u00a0429, mean risk 10%); and high risk 11\u201015 (n\u00a0=\u00a0132, mean risk 19%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The ORLY score discriminates patients with high risk of early death.<\/jats:p><\/jats:sec>","DOI":"10.1111\/eci.13312","type":"journal-article","created":{"date-parts":[[2020,6,13]],"date-time":"2020-06-13T20:29:33Z","timestamp":1592080173000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A simple score to predict early death after kidney transplantation"],"prefix":"10.1111","volume":"50","author":[{"given":"Jamal","family":"Bamoulid","sequence":"first","affiliation":[{"name":"INSERM UMR1098 Federation hospitalo\u2010universitaire INCREASE Besan\u00e7on France"},{"name":"Department of Nephrology, Dialysis, and Renal Transplantation CHU Besan\u00e7on Besan\u00e7on France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marie","family":"Frimat","sequence":"additional","affiliation":[{"name":"Service de N\u00e9phrologie \u2013 CHRU de Lille \u2013 Universit\u00e9 de Lille \u2013 UMR 995 Lille France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C\u00e9cile","family":"Courivaud","sequence":"additional","affiliation":[{"name":"INSERM UMR1098 Federation hospitalo\u2010universitaire INCREASE Besan\u00e7on France"},{"name":"Department of Nephrology, Dialysis, and Renal Transplantation CHU Besan\u00e7on Besan\u00e7on France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Crepin","sequence":"additional","affiliation":[{"name":"INSERM UMR1098 Federation hospitalo\u2010universitaire INCREASE Besan\u00e7on France"},{"name":"Department of Nephrology, Dialysis, and 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