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1 risk of transplant or the combined death or transplant outcome.
2 ors other than islet quality that affect the transplant outcome.
3 tion of patients according to their risk for transplant outcome.
4 elsior (CS) solutions on islet isolation and transplant outcome.
5 er or surgeon transplant workload on corneal transplant outcome.
6 ector cells affect alloimmune reactivity and transplant outcome.
7 sociated with a detrimental effect on kidney transplant outcome.
8 oratory variables, to identify predictors of transplant outcome.
9 s for BK virus (BKV) replication may improve transplant outcome.
10 utic agents for the long-term improvement of transplant outcome.
11 ology of DC populations in relation to human transplant outcome.
12 ells in the complex events that affect liver transplant outcome.
13 ing regimen and source of stem cells, affect transplant outcome.
14 to identify indications, complications, and transplant outcome.
15 's would not appear to substantially improve transplant outcome.
16 nisms that are involved in determining islet transplant outcome.
17 matching at the triplet level affects kidney transplant outcome.
18 genetic variability in molecules relevant to transplant outcome.
19 ildren with ALL without compromising overall transplant outcome.
20 ersus-host disease (GVHD) and may compromise transplant outcome.
21 ted to improve unrelated donor selection and transplant outcome.
22 ne the influence of panresistant bacteria on transplant outcome.
23 to determine the impact of these changes on transplant outcome.
24 d not add substantially to the evaluation of transplant outcome.
25 lantation is an important determinant of the transplant outcome.
26 ient population has the potential to improve transplant outcome.
27 (c-statistics) were performed for models of transplant outcome.
28 D-induced obesity and its negative impact on transplant outcome.
29 hanisms by which these cells influence liver transplant outcome.
30 ng this disease-initiating process to modify transplant outcome.
31 s failing to be consistently associated with transplant outcome.
32 raft loss is not associated with poor second transplant outcome.
33 ry T cells (Tregs) play an important role in transplant outcome.
34 unities to ultimately improve long-term lung transplant outcome.
35 cs are becoming more important in predicting transplant outcome.
36 mpact of preoperative albumin levels on post-transplant outcome.
37 are therefore needed for improving long-term transplant outcome.
38 ere independently associated with successful transplant outcome.
39 an is not stopped, thus resulting in optimal transplant outcomes.
40 ould potentially lead to improved islet cell transplant outcomes.
41 resistance, and risk prediction of pediatric transplant outcomes.
42 donor smoking history in relation to age on transplant outcomes.
43 ith AKI are often discarded for fear of poor transplant outcomes.
44 es may interact to negatively influence lung transplant outcomes.
45 Little is known about their post-transplant outcomes.
46 ssociation of CAV2 gene variants with kidney transplant outcomes.
47 , and high levels correlated with poor islet transplant outcomes.
48 tment for known risk factors associated with transplant outcomes.
49 an important goal to improve long-term lung-transplant outcomes.
50 ransplantation has been associated with poor transplant outcomes.
51 e, SOTR are at risk of nonadherence and poor transplant outcomes.
52 between increasing center volume and cardiac transplant outcomes.
53 ditioning may not be required for successful transplant outcomes.
54 sensitization and adversely impacting islet transplant outcomes.
55 e impact of donor aged 70 years and older on transplant outcomes.
56 Vitamin A supplementation might improve transplant outcomes.
57 MF) is associated with good short-term renal transplant outcomes.
58 cal to the informed interpretation of kidney transplant outcomes.
59 environmental causes of disparities in renal transplant outcomes.
60 vidence shows their association with adverse transplant outcomes.
61 ed eplet loads affect antibody responses and transplant outcomes.
62 independent modifiable risk factor for renal transplant outcomes.
63 en virtual and actual crossmatch results and transplant outcomes.
64 toimmune disorder had no positive effects on transplant outcomes.
65 gens are important determinants of long-term transplant outcomes.
66 cant impact of these infections on the other transplant outcomes.
67 invasive procedures and improves patient or transplant outcomes.
68 week (UNOS-DGF), associates with poor kidney transplant outcomes.
69 urce of HO-1 and higher levels improve renal transplant outcomes.
70 oholic steatohepatitis (NASH) with good post-transplant outcomes.
71 esents a novel clinical target for improving transplant outcomes.
72 (HSPC) engraftment is paramount to improving transplant outcomes.
73 ues to lag behind the progress in short-term transplant outcomes.
74 t immunosuppression is known to affect renal transplant outcomes.
75 preservation fluids for liver allografts on transplant outcomes.
76 tin (EPO) is associated with improved kidney transplant outcomes.
77 transplantation is essential for successful transplant outcomes.
78 of antibody and B cells on acute and chronic transplant outcomes.
79 ion in a preparation may contribute to islet transplant outcomes.
80 h LN, income levels did not predict risk for transplant outcomes.
81 fact associated with adverse recipient post-transplant outcomes.
82 dels for reporting program-specific pancreas transplant outcomes.
83 while maintaining efficacy may improve renal transplant outcomes.
84 he factors that significantly affected early transplant outcome adversely within 3 months posttranspl
85 dentified a number of factors that influence transplant outcome after deceased heart beating donor ki
88 actors of sclerosis and its association with transplant outcomes among 977 consecutive patients treat
89 rs for ZIKV infection among organ donors and transplant outcomes among recipients of donors with posi
90 aim of this study was to compare the kidney transplant outcomes among recipients of kidney after pri
91 atching, 16 potential risk factors for heart transplant outcome and 16 potential risk factors for lun
92 lationship between microbial communities and transplant outcome and aid in assessing lung infections.
93 act of these leukocyte-directing proteins on transplant outcome and novel therapeutic approaches for
94 dom includes factors demonstrated to improve transplant outcome and promote equity in organ allocatio
95 ry donor-reactive T cells are detrimental to transplant outcome and that quantifying the frequency of
96 to confirm a relationship between post-heart transplant outcomes and center experience and to determi
97 significantly to the scientific analyses of transplant outcomes and complications and provide import
98 n humans, offering opportunities to optimize transplant outcomes and maximize donor organ utilization
99 urce of organs for transplantation with good transplant outcomes and there is scope for increasing th
100 ere are significant differences in both post-transplant outcomes and time to transplantation between
103 nd treatment of active CMV infection enhance transplant outcomes, and are the focus of this section.
104 existing literature on age-related changes, transplant outcomes, and complications in the elderly in
109 In children, poorly HLA-matched LD renal transplant outcomes are not inferior when compared with
112 with panresistant P. aeruginosa have similar transplant outcomes as patients with sensitive bacteria
114 onsidered as a possible prognostic factor in transplant outcomes, associated with anxiety, health-rel
117 e Index (KDPI), a metric intended to predict transplant outcomes based on donor characteristics but d
118 A similar decision model comparing kidney transplant outcomes before and after the introduction of
120 models were built to examine differences in transplant outcomes by graft type, adjusting for patient
121 that individual HLA loci play in determining transplant outcome can be achieved, and this is a major
122 ts demonstrates that excellent 5-year kidney transplant outcomes can be achieved without CNI drugs, w
125 iopsy analysis is associated with acceptable transplant outcomes for elderly DCD kidneys and may incr
126 differences in access to transplant and post-transplant outcomes for ethnic minority patients in the
128 nsin (UW) preservation solutions in clinical transplant outcomes for liver, pancreas, and kidney tran
132 e candidate gene for association with kidney transplant outcomes given its proximity to CAV1 and its
134 ients from the multicenter, prospective Lung Transplant Outcomes Group cohort enrolled between July 2
138 pective cohort study of patients in the Lung Transplant Outcomes Group who underwent bilateral lung t
140 sttransplant anemia and its association with transplant outcomes have not been properly studied.
141 the most significant factor predicting poor transplant outcome (hazard ratio for 18-39 and 60+ years
143 s (DSAs) are associated with impaired kidney transplant outcome; however, whether these antibodies in
146 nt and donor age on immunoresponsiveness and transplant outcome in a uni- and multilateral cohort ana
148 e, is a significant predictor of unfavorable transplant outcome in first and second renal transplants
150 fect of donor age and cold ischaemic time on transplant outcome in kidneys donated after circulatory
151 etic polymorphisms have been associated with transplant outcome in some experimental and clinical stu
155 ts, but the influence of humoral immunity on transplant outcomes in children is not well understood.
157 factors of CMV disease and its impact on SPK transplant outcomes in recipients all receiving a consis
158 donor (D)/recipient (R) serostatus on kidney transplant outcomes in recipients who received CMV proph
159 ncome and racial/ethnic disparities on renal transplant outcomes in recipients with lupus nephritis (
160 emonstrate that mHGF markedly improves islet transplant outcomes in the highest preclinical species e
162 ntibody induction therapy for 6-month kidney transplant outcomes in the modern immunosuppression era.
163 stigated the effect of smoking on postkidney transplant outcomes in the United States Renal Data Syst
166 the first time poorer waitlist and postliver transplant outcomes in young adults ages 18 to 24 years
168 ased risk models associated with the risk of transplant outcomes including graft-versus-host disease
172 etween severity of chronic kidney injury and transplant outcome is similar for DCD and DBD kidneys.
175 ctors in modulating alloimmune responses and transplant outcomes is only now beginning to emerge.
182 ctive comparison of treatment-related kidney transplant outcomes may be facilitated by multivariable
183 cal care in the areas of donor use, clinical transplant outcomes, mechanisms of rejection, infectious
184 ating this into clinical practise to improve transplant outcome, much focus has been placed on trying
187 nor and recipient is associated with optimal transplant outcome, new information suggests that not ev
188 ialysis has been associated with poor kidney transplant outcome, no data about this association exist
189 re the main determinants of long-term kidney transplant outcome; nonimmunologic factors in isolation
190 pectively compared the transplantability and transplant outcome of two consecutive patient population
193 or and recipient had a significant effect on transplant outcome: older age was associated with increa
194 sed donor recovery, improvement of long-term transplant outcomes, optimization of immune monitoring,
197 A common lament is that long-term kidney transplant outcomes remain the same despite improvements
198 ease, with its associated morbidity and poor transplant outcome, represents a serious threat to trans
201 In conclusion, racial disparities in kidney transplant outcomes seem to persist even in a universal
203 m RDs who are not HLA-matched siblings, with transplant outcomes similar to patients with MSD grafts.
204 fied to determine how biological age impacts transplant outcome, such as age-related fibrosis or tubu
205 fied to determine how biological age impacts transplant outcome, such as age-related fibrosis or tubu
208 as the MHC region as well as genomewide for transplant outcomes that span all solid organs, such as
209 erstand a differential effect of SES on post-transplant outcomes that was not seen during LVAD suppor
210 tem heparin administration improve DCD liver transplant outcomes, thus allowing for the most effectiv
211 ic murine model of diabetes by comparing the transplant outcomes to that of islets transplanted intra
212 e purpose of this study was to analyze renal transplant outcomes using this source of cadaveric (CAD)
216 Importantly, the predictive power for poorer transplant outcome was comparable for all definitions of
219 evelop a donor selection strategy to improve transplant outcome, we compared the contribution of thes
220 ence of B. cepacia complex genomovar type on transplant outcome, we undertook a retrospective study i
221 ith ESRD affects time to transplantation and transplant outcomes, we retrospectively analyzed 3782 ma
223 tcome and 16 potential risk factors for lung transplant outcome were subjected to multivariate analys
227 ed if their original consent forms to report transplant outcomes were not signed, if consent was with
231 nt studies have documented an improvement in transplant outcome when organs are preserved through pul
232 r (LD)-related risk factors affecting kidney transplant outcome will allow better donor selection and
233 Mandatory continuous monitoring of early transplant outcome with centralized oversight was introd
234 ion-controlled 1-g MMF results in comparable transplant outcomes with less GI toxicity during the fir
235 ion and sirolimus provides comparable 1-year transplant outcomes, with significantly better renal fun
236 se transplant model, we investigated whether transplant outcome would result in changes in the propor
237 ricans and that racial disparities in kidney transplant outcomes would be less pronounced among patie
238 which T cells are removed, it is likely that transplant outcomes would depend on which technique is u
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