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1 ith KTx recipients regardless of the type of kidney donor.
2 is critical for the selection of a potential kidney donor.
3 isk variants were genotyped in additional AA kidney donors.
4 d prevent adverse outcomes in living related kidney donors.
5 in RTRs compared with 85 +/- 25 mmol/24 h in kidney donors.
6 idates and to inform acceptance criteria for kidney donors.
7 ict long-term renal outcomes in white living kidney donors.
8 ult was consistent across different types of kidney donors.
9 x volume [RCV]) were performed in 101 living kidney donors.
10 R: 1.9-12.0 y) after transplantation and 253 kidney donors.
11 tions of current voters toward paying living kidney donors.
12 ate, eGFR) of the remaining kidney in living kidney donors.
13 t studies of financial incentives for living kidney donors.
14 h might be alleviated by compensating living kidney donors.
15 PCCs were studied in 42 normal adrenals from kidney donors.
16 cept for 1A, different from those in healthy kidney donors.
17 tively benign renal outcomes for most living kidney donors.
18 on might increase the cardiovascular risk in kidney donors.
19 hat is not representative of all U.S. living kidney donors.
20 but needs to be tested in healthy potential kidney donors.
21 ssential in the risk evaluation of potential kidney donors.
22 eGFR is a poor predictor of true GFR in kidney donors.
23 ies in medical conditions occur among living kidney donors.
24 the appropriateness of accepting obese live kidney donors.
25 t option for patients with incompatible live kidney donors.
26 based equations for estimating GFR in former kidney donors.
27 testing in the screening process for living kidney donors.
28 nimize some of the financial loss for living kidney donors.
29 vent long-term predictions of risk for young kidney donors.
30 ain to remove the financial burden of living kidney donors.
31 ansplantation resulting from the scarcity of kidney donors.
32 nsent and varies substantially across living kidney donors.
33 we matched living pancreas donors to living kidney donors (1:3) by demographic traits and year of do
35 linking U.S. registry identifiers for living kidney donors (1987-2007) to billing claims from a priva
42 terquartile range [IQR], 3.9-11.5 years) for kidney donors and 15.0 years (IQR, 13.7-15.0 years) for
43 n was 30.8 per 10,000 (95% CI, 24.3-38.5) in kidney donors and 3.9 per 10,000 (95% CI, 0.8-8.9) in th
44 1 risk alleles among African American living kidney donors and for living-related donors for African
45 ival data were compared with those from live kidney donors and healthy participants of the National H
46 tion is critical in the evaluation of living kidney donors and higher donor glomerular filtration rat
47 liver donors was comparable to that of live kidney donors and NHANES participants (1.2%, 1.2%, and 1
49 a and urine samples from living and deceased kidney donors and performed BKV polymerase chain reactio
51 lant registry to select a cohort of deceased kidney donors and the corresponding transplant recipient
57 may influence hypothetical and actual living kidney donors and where appropriate, summarizes the quan
59 ed risk of ESRD has been reported for living kidney donors, and appears to be higher for those donati
60 mpacting allograft survival from deceased AA kidney donors, APOL1 renal-risk variants were genotyped
61 l and the risk of ESRD in carefully screened kidney donors appear to be similar to those in the gener
62 e profound organ shortages, the use of older kidney donors appears to be an equivalent or beneficial
64 le cautious criteria for selection of living kidney donors are credited for favorable outcomes, recen
65 Data regarding health outcomes among living kidney donors are lacking, especially among nonwhite per
68 einuria, reduced GFR, and ESRD in 3956 white kidney donors, assessed the contribution of postdonation
69 Societal plight driving caution about living kidney donor assessment was emphasized in the context of
71 es genetic testing in the evaluation of live kidney donors at risk for ADPKD whose disease status can
72 nt physicians should inform potential living kidney donors at risk for APOL1-associated nephropathy a
74 mated the number of potential imminent death kidney donors at the University of Wisconsin Hospital an
75 rding the evaluation and selection of living kidney donors based on metabolic, cardiovascular, and su
78 One thousand six hundred sequential living kidney donor biopsies were performed between 2001 and 20
79 d for more comprehensive follow-up of living kidney donors, both for the donor's benefit and to estab
80 ed 'hypothetical' willingness to be a living kidney donor but with marked heterogeneity in the absolu
81 r as the leading cause of death among living kidney donors, but information on the burden of cancer o
83 tices used to assess kidney health in living kidney donor candidates in 2017; the response rate was 3
85 ides a better estimate of kidney function in kidney donor candidates than either measure alone, altho
87 of GFR, required in the evaluation of living kidney donor candidates, is now receiving increasing emp
90 is a key aspect in the evaluation of living kidney donor candidates; however, data on performance of
91 rojected long-term risk of ESRD among living kidney-donor candidates and to inform acceptance criteri
93 11 patients from Birmingham, United Kingdom, kidney donor CC genotype at C3435T (rs1045642) within AB
96 psychologically screened unspecified living kidney donors completed the Symptom Checklist before and
97 ties for long-term costs generated by living kidney donors contributes to the problem was examined by
98 d have been available from the OPTN deceased kidney donors during 2002 to 2004 were investigated.
100 compare the outcomes of the first 60 living kidney donors enrolled in our enhanced recovery program
102 g an overview of current practices in living kidney donor evaluation, our study highlights the import
104 o undergo nephrectomy or adults who serve as kidney donors exhibit little difference in renal functio
105 isdictions have programs to reimburse living kidney donors for expenses, few programs have been evalu
106 ped DNA from 1805 recipients and 1038 living kidney donors for TL to determine the association of TL
109 tation Network registrations for 4650 living kidney donors from 1987 to 2007 with administrative data
111 status and development of ESRD in 143 living kidney donors from 1994 to 2007 with predonation impaire
113 he study population consisted of 3074 living kidney donors from 28 centers during 2004 and 2005.
115 prospective cohort study involving deceased kidney donors from five organ procurement organizations.
116 ve study of 4650 persons who had been living kidney donors from October 1987 through July 2007 and wh
117 Compared with matched healthy nondonors, kidney donors had an increased risk of ESRD over a media
118 Risk of end-stage renal disease (ESRD) in kidney donors has been compared with risk faced by the g
121 renal disease (ESRD) risks for young living kidney donors have conflicted with the knowledge and pra
125 The overall evidence suggests that living kidney donors have survival similar to that of nondonors
126 atients and for confirmation of A2 status of kidney donors; hematology for comprehensive typing for p
129 ntation Network identifiers for 4,650 living kidney donors in 1987 to 2007 were linked to administrat
130 antation Network identifiers for 4650 living kidney donors in 1987 to 2007 were linked to administrat
131 etwork (OPTN) registry data for 4,007 living kidney donors in 1987 to 2008 with Medicare billing clai
133 umbilicus) outcomes justify application for kidney donors in experienced centers and may motivate ad
134 viewed the predonation charts for all living kidney donors in Ontario, Canada between 1992 and 2010 a
136 scopic donor nephrectomies in 2006, two live kidney donors in the United States and one in India have
138 a mandated national registry of 80 347 live kidney donors in the United States between April 1, 1994
139 TTINGS, AND PARTICIPANTS: A cohort of 96,217 kidney donors in the United States between April 1994 an
141 15-year observed risks after donation among kidney donors in the United States were 3.5 to 5.3 times
143 ata on all African-American and white living kidney donors in the United States who were registered i
144 average risk of postdonation ESRD for living kidney donors in the United States, but personalized est
146 d to provide this follow-up of former living kidney donors, including concerns that donor insurance w
148 ucted a retrospective cohort study of living kidney donors involving 85 women (131 pregnancies after
151 nderstanding the outcomes and risks for live kidney donors (LD) is increasingly important; this study
152 emographic characteristics with HL in living kidney donors (LD), living donor kidney transplant recip
153 strate that graft survival from older living kidney donors (LD; age>60 years) is worse than younger L
154 serve as a primary motivating factor, living kidney donors (LDs) also may expect to accrue some perso
155 undred thirty-one programs performing living kidney donor (LKD) and/or living liver donor (LLD) trans
156 irical research on informed consent for live kidney donors (LKD) and live liver donors (LLD) for both
160 r diabetes treatments, compared with 5.9% of kidney donors (odds ratio, 4.13; 95% confidence interval
161 e donation are mostly for the recipient, but kidney donors often have improved quality of life as a r
167 w often and the reasons why potential living kidney donors opt out of the donor evaluation process fo
168 SAs were associated with 3.52 fewer expected kidney donors per 100 eligible deaths than non-Gulf Stat
170 ation is an accepted method of expanding the kidney donor pool but there is little analysis of the pr
172 evaluated glomerular dynamics in a cohort of kidney donors prior to, within 1 year of, and several ye
173 ctive antibody > 20%, African American race, Kidney Donor Profile Index > 50%, cold ischemia time > 2
176 ndidate condition were measured by using the Kidney Donor Profile Index (KDPI) and the Estimated Post
178 sed donor kidney allocation algorithm uses a Kidney Donor Profile Index (KDPI) based on donor charact
180 with expanded-criteria donors (ECD) and high Kidney Donor Profile Index (KDPI) kidneys are unknown.
182 by someone; the median (interquartile range) Kidney Donor Profile Index (KDPI) of these kidneys was 3
183 han 60 years, accepting a kidney with a high Kidney Donor Profile Index (KDPI) score could enable ear
185 ttle data on how kidney quality, measured by kidney donor profile index (KDPI), impacts KALT survival
186 kidney allocation policy that introduces the kidney donor profile index (KDPI), which gives scores of
189 recipients were allocated kidneys with lower Kidney Donor Profile Index (median 30% versus 35%, P < 0
191 r policy changes such as the introduction of Kidney Donor Profile Index and implementation of the Kid
192 dney biopsy evaluation techniques, including Kidney Donor Profile Index and Remuzzi scoring, and anal
193 ecipients with KPS 40 to 50 and kidneys with Kidney Donor Profile Index as high as 99 have expected s
194 ling donor (female, aged 53 y) with a Living Kidney Donor Profile Index of 2, donated 2 days later to
195 with a Kidney Donor Risk Index of 0.61 and a Kidney Donor Profile Index of 3%, the waiting time was 4
197 e augmented model, we examined the impact of Kidney Donor Profile Index on posttransplant survivals f
198 achieved with expanded criteria donor, high Kidney Donor Profile Index or advanced age kidneys are p
199 ed age kidneys, we assessed the value of the Kidney Donor Profile Index policy, preimplantation biops
200 is "framed." Thus, labeling a kidney as high Kidney Donor Profile Index results in higher discard rat
202 ceived kidneys from donors with lower Living Kidney Donor Profile Index scores than their actual dono
204 eristic curve was approximately 0.87 for all Kidney Donor Profile Index thresholds and timeframes con
205 eive an offer for a deceased-donor kidney at Kidney Donor Profile Index thresholds of 0.2, 0.4, and 0
206 hich allocates kidneys in the top 20% of the kidney donor profile index to candidates in the top 20%
208 n from an HCV-viremic deceased donor (median kidney donor profile index, 53%) in May 2019 through Oct
209 5, 7 kidneys (mean donor age, 54.3 years and Kidney Donor Profile Index, 79%) that were initially pro
212 riteria donors (ECDs) and kidneys with >=85% kidney donor profile indexes (KDPIs) might have differen
213 l studies reporting outcomes in adult living kidney donors published from January 2011 to May 2017.
214 In a retrospective cohort of 407 living kidney donor-recipient pairs, donor and recipient HLA cl
217 e the experiences and expectations of living kidney donors regarding follow-up and self-care after do
219 Evaluation of candidates to serve as living kidney donors relies on screening for individual risk fa
223 ese donors had lower quality kidneys (median Kidney Donor Risk Index (interquartile range) 1.9 (1.0)
224 gistrants (IRR, 1.01; P < 0.001), and higher kidney donor risk index (IRR, 1.98; P < 0.001) were asso
225 discard risk, for kidneys within a range of kidney donor risk index (KDRI) 1.4-2.1 that included bot
228 TAR files) to investigate the utility of the Kidney Donor Risk Index (KDRI) versus delayed graft func
229 s received higher-quality allografts (median kidney donor risk index 0.67 versus 0.90 for nondonors;
233 n donor age rose from 26 to 43 years; median Kidney Donor Risk Index increased from 1.1 in 1994 to 1.
234 ed from 10 085 (92%) to 10 802 (98%) for low-Kidney Donor Risk Index kidneys and from 1257 (65%) to 1
236 program for a chain-initiating kidney with a Kidney Donor Risk Index of 0.61 and a Kidney Donor Profi
240 ant dialysis duration, kidney cold ischemia, kidney donor risk index, and recipient hyperlipidemia.
248 scuss APOL1 genotyping with potential living kidney donors self-reporting recent African ancestry.
251 or preeclampsia was more common among living kidney donors than among nondonors (occurring in 15 of 1
252 eclampsia was more likely to be diagnosed in kidney donors than in matched nondonors with similar ind
253 cs that were similar to those of age-matched kidney donors, the 15-year projections of the risk of ES
255 ients with a solitary kidney, such as living kidney donors, the surgical treatment of renal tumors ma
256 Even within programs that use unspecified kidney donors, there is a lack of consensus regarding ho
257 mation and obtain informed consent from live kidney donors to assist the transplant community in opti
261 2%) were male, 113 (62.4%) received a living kidney donor transplant, and 40 (22.1%) had a graft fail
263 ribution to the ethnic differences in living kidney donor transplantation have not been adequately st
268 recipients bolster public support for living kidney donor transplantation; however, ethical dilemmas
269 ram has helped maintain the volume of living kidney donor transplants in Canada over the past 5 years
270 osocial and physical outcomes in unspecified kidney donors (UKDs) versus specified kidney donors (SKD
272 profile of Australian and New Zealand living kidney donors using data from the Australia and New Zeal
273 ing trend in acceptance of very obese living kidney donors, variation across centers is significant.
276 We hypothesized that African Americans (AA) kidney donors were at greater risk for kidney failure.
281 at most bills for follow-up visits of living kidney donors were paid by insurance companies, at a rat
284 dex (KDRI) is a score applicable to deceased kidney donors which reflects relative graft failure risk
285 re comparable to those derived from deceased kidney donors while improving upon several problems with
286 rs Evaluation (RELIVE) Study evaluated 8,951 kidney donors who donated between 1963 and 2007 at three
288 tal status and lifetime risk of ESRD in 3698 kidney donors who donated kidneys during the period from
290 ation of extraordinary altruists: altruistic kidney donors who volunteered to donate a kidney to a st
298 reater magnitude of glomerulopenia in living kidney donors with preexisting hypertension justifies th
300 splant candidates and their potential living kidney donors would result in sustained increases in liv