{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T20:13:46Z","timestamp":1790108026298,"version":"4.0.1"},"reference-count":35,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"KRESCENT-CIHR"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Can J Kidney Health Dis"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>The gaps in organ supply and demand necessitate the use of expanded criteria donor (ECD) kidneys.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To identify which pre-transplant and post-transplant predictors are most informative regarding short- and long-term ECD transplant outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design:<\/jats:title>\n                    <jats:p>Retrospective cohort study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting:<\/jats:title>\n                    <jats:p>Single center, Quebec, Canada.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patients:<\/jats:title>\n                    <jats:p>The patients were 163 consecutive first-time ECD kidney only transplant recipients who underwent transplantation at McGill University Health Centre (MUHC) between January 1, 2008 and December 31, 2014 and had frozen section wedge procurement biopsies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measurements:<\/jats:title>\n                    <jats:p>Short-term graft outcomes, including delayed graft function and 1-year estimated glomerular filtration rate (eGFR), as well as long-term outcomes including all-cause graft loss (defined as return to dialysis, retransplantation, and death with function).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Pre-transplant donor, recipient, and transplant characteristics were assessed as predictors of transplant outcomes. The added value of post-transplant predictors, including longitudinal eGFR, was also assessed using time-varying Cox proportional hazards models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>In univariate analyses, among the pre-transplant donor characteristics, histopathologic variables did not show evidence of association with delayed graft function, 1-year post-transplant eGFR or all cause graft loss. Recipient age was associated with all-cause graft loss (hazard ratio: 1.038 [95% confidence interval: 1.002-1.075] and the model produced only modest discrimination (C-index: 0.590; standard error [SE]: 0.045). Inclusion of time-dependent post-transplant eGFR improved the model\u2019s prediction accuracy (C-index: 0.711; SE = 0.047). Pre-transplant ECD characteristics were not associated with long-term survival, whereas post-transplant characteristics allowed better model discrimination.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Limitations:<\/jats:title>\n                    <jats:p>Single-center study, small sample size, and potential incomplete capture of all covariate data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Incorporation of dynamic prediction models into electronic health records may enable timely mitigation of ECD graft failure risk and\/or facilitate planning for renal replacement therapies. Histopathologic findings on preimplantation biopsies have a limited role in predicting long-term ECD outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial registration:<\/jats:title>\n                    <jats:p>Not applicable.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/2054358120924305","type":"journal-article","created":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T06:52:03Z","timestamp":1592981523000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Predicting Clinical Outcome in Expanded Criteria Donor Kidney Transplantation: A Retrospective Cohort Study"],"prefix":"10.1177","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1987-320X","authenticated-orcid":false,"given":"Paramita","family":"Saha-Chaudhuri","sequence":"first","affiliation":[{"name":"Department of Epidemiology, Biostatistics &amp; Occupational Health, McGill University, Montr\u00e9al, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carly","family":"Rabin","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, State University of New York Downstate Medical Center, Brooklyn, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean","family":"Tchervenkov","sequence":"additional","affiliation":[{"name":"Department of Surgery, McGill University, Montr\u00e9al, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dana","family":"Baran","sequence":"additional","affiliation":[{"name":"Division of Nephrology and the Multi Organ Transplant Program, Royal Victoria Hospital, McGill University Health Centre, Montr\u00e9al, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin","family":"Morein","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Western Ontario, London, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0745-004X","authenticated-orcid":false,"given":"Ruth","family":"Sapir-Pichhadze","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Biostatistics &amp; Occupational Health, McGill University, Montr\u00e9al, QC, Canada"},{"name":"Division of Nephrology and the Multi Organ Transplant Program, Royal Victoria Hospital, McGill University Health Centre, Montr\u00e9al, QC, Canada"},{"name":"Centre for Outcomes Research &amp; Evaluation, Research Institute of the McGill University Health Centre, Montr\u00e9al, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2020,6,24]]},"reference":[{"key":"e_1_3_3_2_2","unstructured":"CIHI. 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