{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T05:52:44Z","timestamp":1761630764403},"reference-count":24,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2016,10,18]],"date-time":"2016-10-18T00:00:00Z","timestamp":1476748800000},"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":[[2016,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Preoperative risk assessment of potential kidney transplant recipients often fails to adequately balance risk related to underlying comorbidities with the beneficial impact of kidney transplantation. We sought to develop a simple scoring system based on factors known at the time of patient assessment for placement on the waitlist to predict likelihood of severe adverse events 1\u00a0year post\u2010transplant. The tool includes four components: age, cardiopulmonary factors, functional status, and metabolic factors. Pre\u2010transplant factors strongly associated with severe adverse events include diabetic (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>: 3.76, <jats:italic>P<\/jats:italic>&lt;.001), coronary artery disease (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>: 3.45, <jats:italic>P<\/jats:italic>&lt;.001), history of <jats:styled-content style=\"fixed-case\">CABG<\/jats:styled-content>\/<jats:styled-content style=\"fixed-case\">PCI<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content> 3.1, <jats:italic>P<\/jats:italic>=.001), and peripheral vascular disease (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content> 2.74, <jats:italic>P<\/jats:italic>=.008).The score was evaluated by calculation of concordance index. The C statistic of 0.74 for the risk stratification group was considered good discrimination in the validation cohort (N=127) compared to the development cohort (N=368). The pre\u2010transplant risk group was highly predictive of severe adverse events (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content> 2.36, <jats:italic>P<\/jats:italic>&lt;.001). Patients stratified into the above average\u2010risk group were four times more likely to experience severe adverse events compared to average\u2010risk patients, while patients in the high\u2010risk group were nearly 11 times more likely to experience severe adverse events. The pre\u2010transplant risk stratification tool is a simple scoring scheme using easily obtained preoperative characteristics that can meaningfully stratify patients in terms of post\u2010transplant risk and may ultimately guide patient selection and inform the counseling of potential kidney transplant recipients.<\/jats:p>","DOI":"10.1111\/ctr.12848","type":"journal-article","created":{"date-parts":[[2016,9,20]],"date-time":"2016-09-20T07:43:20Z","timestamp":1474357400000},"page":"1494-1500","source":"Crossref","is-referenced-by-count":7,"title":["A clinical tool to risk stratify potential kidney transplant recipients and predict severe adverse events"],"prefix":"10.1111","volume":"30","author":[{"given":"Rachel M.","family":"Nygaard","sequence":"first","affiliation":[{"name":"Department of Surgery Hennepin County Medical Center Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne\u2010Marie","family":"Sirany","sequence":"additional","affiliation":[{"name":"Department of Surgery Hennepin County Medical Center Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elizabeth A.","family":"Wyman","sequence":"additional","affiliation":[{"name":"Department of Surgery Hennepin County Medical Center Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer","family":"Bodner","sequence":"additional","affiliation":[{"name":"Transplant Clinic Hennepin County Medical Center Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chad J.","family":"Richardson","sequence":"additional","affiliation":[{"name":"Department of Surgery Hennepin County Medical Center Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arthur L.","family":"Ney","sequence":"additional","affiliation":[{"name":"Department of Surgery Hennepin County Medical Center Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark D.","family":"Odland","sequence":"additional","affiliation":[{"name":"Department of Surgery Hennepin County Medical Center Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark J.","family":"Hill","sequence":"additional","affiliation":[{"name":"Department of Surgery Hennepin County Medical Center Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2016,10,18]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2004070580"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamasurg.2014.2038"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-6143.2004.00573.x"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.tp.0000259621.56861.31"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.ajkd.2015.05.015"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.100.10.1043"},{"key":"e_1_2_8_8_1","volume-title":"Annual Estimates of the Resident Population by Sex, Race, and Hispanic Origin for the United States, States, and Counties: April 1, 2010 to July 1, 2014","author":"U.S. Census Bureau, Population Division","year":"2015"},{"key":"e_1_2_8_9_1","unstructured":"U.S. Census Bureau.2014 American Community Survey 1\u2010year Estimates.2014. 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