{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T21:05:42Z","timestamp":1781557542845,"version":"3.54.5"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2020,12,26]],"date-time":"2020-12-26T00:00:00Z","timestamp":1608940800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Cardiovascular disease (CVD) is a major cause of death in kidney transplant (KT) recipients. To improve their long-term survival, it is clinically important to estimate the risk of CVD after living donor KT via adequate pre-transplant CVD screening.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>A derivation cohort containing 331 KT recipients underwent living donor KT at Kyushu University Hospital from January 2006 to December 2012. A prediction model was retrospectively developed and risk scores were investigated via a Cox proportional hazards regression model. The discrimination and calibration capacities of the prediction model were estimated via the c-statistic and the Hosmer\u2013Lemeshow goodness of fit test. External validation was estimated via the same statistical methods by applying the model to a validation cohort of 300 KT recipients who underwent living donor KT at Tokyo Women\u2019s Medical University Hospital.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In the derivation cohort, 28 patients (8.5%) had CVD events during the observation period. Recipient age, CVD history, diabetic nephropathy, dialysis vintage, serum albumin and proteinuria at 12\u2009months after KT were significant predictors of CVD. A prediction model consisting of integer risk scores demonstrated good discrimination (c-statistic 0.88) and goodness of fit (Hosmer\u2013Lemeshow test P\u2009=\u20090.18). In a validation cohort, the model demonstrated moderate discrimination (c-statistic 0.77) and goodness of fit (Hosmer\u2013Lemeshow test P\u2009=\u20090.15), suggesting external validity.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>The above-described simple model for predicting CVD after living donor KT was accurate and useful in clinical situations.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ndt\/gfaa275","type":"journal-article","created":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T11:49:42Z","timestamp":1602071382000},"page":"365-374","source":"Crossref","is-referenced-by-count":4,"title":["Development and validation of a risk score for the prediction of cardiovascular disease in living donor kidney transplant recipients"],"prefix":"10.1093","volume":"36","author":[{"given":"Kenji","family":"Ueki","sequence":"first","affiliation":[{"name":"Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akihiro","family":"Tsuchimoto","sequence":"additional","affiliation":[{"name":"Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuta","family":"Matsukuma","sequence":"additional","affiliation":[{"name":"Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaneyasu","family":"Nakagawa","sequence":"additional","affiliation":[{"name":"Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroaki","family":"Tsujikawa","sequence":"additional","affiliation":[{"name":"Department of Medicine and Clinical Science, Kyushu University, Fukuoka, 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