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Development of a Screening Tool to Predict Chronic Kidney Disease Risk in Post-nephrectomy Living Kidney Donors

DC FieldValueLanguage
dc.contributor.author나준채-
dc.contributor.author박지수-
dc.contributor.author윤영은-
dc.contributor.author이형호-
dc.contributor.author한웅규-
dc.date.accessioned2018-08-28T17:11:57Z-
dc.date.available2018-08-28T17:11:57Z-
dc.date.issued2018-
dc.identifier.issn0041-1345-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/162359-
dc.description.abstractFew studies have examined the long-term risks of kidney removal to donors despite the increase of frequency in kidney transplantation. This is the 1st study to develop prediction models of chronic kidney disease (CKD) for the 1-year period after donor nephrectomy in living donors. A prospective cohort of patients who underwent donor nephrectomy from March 1, 2006, to December 31, 2016, at the Severance Hospital, Seoul, South Korea, was used. CKD was defined as a glomerular filtration rate (GFR) <60 mL/min/1.73 m(2). GFR was estimated with the use of the abbreviated Modification in Diet and Renal Disease Study equation. Patients with a previous CKD history or estimated GFR <60 mL/min/1.73 m(2) were excluded, and those with 1-year post-nephrectomy follow-up were included. Among 440 patients who underwent donor nephrectomy, 144 (32.7%) developed a first-time onset of a GFR <60 mL/min/1.73 m(2) by 1 year after surgery. Our logistic regression models derived from these 3 variables predicted CKD with an area under the receiver operating characteristic curve of 0.796, an accuracy of 70.9%, and a sensitivity of 66.2% and specificity of 80.6%. This model could assist with decision making about potential donors and for surveillance of those at risk of post-nephrectomy CKD.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier Science Inc.-
dc.relation.isPartOfTransplantation Proceedings-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleDevelopment of a Screening Tool to Predict Chronic Kidney Disease Risk in Post-nephrectomy Living Kidney Donors-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Urology-
dc.contributor.googleauthorJ S Park-
dc.contributor.googleauthorH K Ahn-
dc.contributor.googleauthorJ Na-
dc.contributor.googleauthorH H Lee-
dc.contributor.googleauthorY E Yoon-
dc.contributor.googleauthorM G Yoon-
dc.contributor.googleauthorW K Han-
dc.identifier.doi10.1016/j.transproceed.2018.01.034-
dc.contributor.localIdA04742-
dc.contributor.localIdA05336-
dc.contributor.localIdA02581-
dc.contributor.localIdA04647-
dc.contributor.localIdA04308-
dc.relation.journalcodeJ02755-
dc.identifier.eissn1873-2623-
dc.identifier.pmid29678268-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0041134518301039-
dc.contributor.alternativeNameNa, Joon Chae-
dc.contributor.alternativeNamePark, Jee Soo-
dc.contributor.alternativeNameYoon, Young Eun-
dc.contributor.alternativeNameLee, Hyung Ho-
dc.contributor.alternativeNameHan, Woong Kyu-
dc.contributor.affiliatedAuthorNa, Joon Chae-
dc.contributor.affiliatedAuthorPark, Jee Soo-
dc.contributor.affiliatedAuthorYoon, Young Eun-
dc.contributor.affiliatedAuthorLee, Hyung Ho-
dc.contributor.affiliatedAuthorHan, Woong Kyu-
dc.citation.volume50-
dc.citation.number4-
dc.citation.startPage993-
dc.citation.endPage997-
dc.identifier.bibliographicCitationTransplantation Proceedings, Vol.50(4) : 993-997, 2018-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers

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