{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T23:31:04Z","timestamp":1772062264114,"version":"3.50.1"},"reference-count":23,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2016,7,6]],"date-time":"2016-07-06T00:00:00Z","timestamp":1467763200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clinical Transplantation"],"published-print":{"date-parts":[[2016,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Deceased donor (DD) kidney quality is determined by calculating the Kidney Donor Profile Index (KDPI). Optimizing high KDPI (\u226585%) DD transplant outcome is challenging. This retrospective study was performed to review our high KDPI DD transplant results to identify clinical practices that can improve future outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We retrospectively calculated the KDPI for 895 DD kidney recipients transplanted between 1\/2002 and 11\/2013. Age, race, body mass index (BMI), retransplantation, gender, diabetes (DM), dialysis time, and preexisting coronary artery disease (CAD) (previous myocardial infarction (MI), coronary artery bypass (CABG), or stenting) were determined for all recipients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>About 29.7% (266\/895) of transplants were from donors with a KDPI \u226585%. By Cox regression older age, diabetes, female gender, and dialysis time &gt;4\u00a0years correlated with shorter patient survival time. Diabetics with CAD who received a high KDPI donor kidney had a significantly increased risk of death (HR 4.33 (CI 1.82\u201310.30), <jats:italic>P<\/jats:italic>=.001) compared to low KDPI kidney recipients. The Kaplan\u2010Meier survival curve for diabetic recipients of high KDPI kidneys was significantly worse if they had preexisting CAD (<jats:italic>P<\/jats:italic>&lt;.001 by log\u2010rank test).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Patient survival using high KDPI donor kidneys may be improved by avoiding diabetic candidates with preexisting CAD.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ctr.12768","type":"journal-article","created":{"date-parts":[[2016,5,25]],"date-time":"2016-05-25T00:54:08Z","timestamp":1464137648000},"page":"940-945","source":"Crossref","is-referenced-by-count":12,"title":["High mortality in diabetic recipients of high KDPI deceased donor kidneys"],"prefix":"10.1111","volume":"30","author":[{"given":"Ronald P.","family":"Pelletier","sequence":"first","affiliation":[{"name":"Division of Transplantation Department of Surgery The Ohio State University Wexner Medical Center  Columbus OH USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Todd E.","family":"Pesavento","sequence":"additional","affiliation":[{"name":"Division of Nephrology Department of Internal Medicine The Ohio State University Wexner Medical Center  Columbus OH USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amer","family":"Rajab","sequence":"additional","affiliation":[{"name":"Division of Transplantation Department of Surgery The Ohio State University Wexner Medical Center  Columbus OH USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mitchell L.","family":"Henry","sequence":"additional","affiliation":[{"name":"Division of Transplantation Department of Surgery The Ohio State University Wexner Medical Center  Columbus OH USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2016,7,6]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"OPTN\/SRTR 2012 Annual Data Report: Kidney.http:\/\/srtr.transplant.hrsa.gov\/annual_reports\/2012\/pdf\/01_kidney_13.pdf. Accessed April 29 2015."},{"key":"e_1_2_9_3_1","unstructured":"Guide to calculating and interpreting KDPI.http:\/\/optn.transplant.hrsa.gov\/contentdocuments\/guide_to_calculating_interpreting_kdpi.pdf. Accessed April 29 2015."},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/TP.0000000000000181"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/TP.0b013e3181ac620b"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199912023412303"},{"key":"e_1_2_9_7_1","unstructured":"Scientific Registry of Transplant Recipients. Risk adjustment models (transplant programs).http:\/\/srtr.org\/csr\/current\/modtabs.aspx. Accessed April 29 2015."},{"key":"e_1_2_9_8_1","unstructured":"US Renal Data System 2013 Annual Report Patient survival table 1.5.http:\/\/www.usrds.org\/atlas13.aspx. 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