Correction
12 Jun 2017: Han M, Lee JP, Park S, Kim Y, Kim YC, et al. (2017) Correction: Early onset hyperuricemia is a prognostic marker for kidney graft failure: Propensity score matching analysis in a Korean multicenter cohort. PLOS ONE 12(6): e0179779. https://doi.org/10.1371/journal.pone.0179779 View correction
Figures
Abstract
It remains inconclusive whether hyperuricemia is a true risk factor for kidney graft failure. In the current study, we investigated the association of hyperuricemia and graft outcome. We performed a multi-center cohort study that included 2620 kidney transplant recipients. The patients were classified as either normouricemic or hyperuricemic at 3 months after transplantation. Hyperuricemia was defined as a serum uric acid level ≥ 7.0 mg/dL in males or ≥ 6.0 mg/dL in females or based on the use of urate-lowering medications. The two groups were compared before and after propensity score matching. A total of 657 (25.1%) patients were classified as hyperuricemic. The proportion of hyperuricemic patients increased over time, reaching 44.2% of the total cohort at 5 years after transplantation. Estimated glomerular filtration rate and donor type were independently associated with hyperuricemia. Hyperuricemia was associated with graft loss according to multiple Cox regression analysis before propensity score matching (hazard ratio [HR] = 1.56, 95% confidence interval [CI] = 1.14–2.13, P = 0.005) as well as after matching (HR = 1.65, 95% CI = 1.13–2.42, p = 0.010). Cox regression models using time-varying hyperuricemia or marginal structural models adjusted with time-varying eGFR also demonstrated significant hazards of hyperuricemia for graft loss. Cardiovascular events and recipient survival were not associated with hyperuricemia. Overall, hyperuricemia, especially early onset after transplantation, showed an increased risk for graft failure. Further studies are warranted to determine whether lowering serum uric acid levels would be beneficial to graft survival.
Citation: Han M, Lee JP, Park S, Kim Y, Kim YC, Ahn C, et al. (2017) Early onset hyperuricemia is a prognostic marker for kidney graft failure: Propensity score matching analysis in a Korean multicenter cohort. PLoS ONE 12(5): e0176786. https://doi.org/10.1371/journal.pone.0176786
Editor: Stanislaw Stepkowski, University of Toledo, UNITED STATES
Received: October 19, 2016; Accepted: April 17, 2017; Published: May 3, 2017
Copyright: © 2017 Han et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Hyperuricemia is common in kidney transplant recipients (KTRs). The prevalence of hyperuricemia in KTRs has been documented to range from 15% to 52% [1–4]. Male gender, decreased glomerular filtration rate (GFR), and usage of diuretics or calcineurin inhibitors are known risk factors for hyperuricemia [3, 4].
Convincing evidence indicates that hyperuricemia is associated with the prevalence of chronic kidney disease (CKD) [5, 6] or progression to end-stage renal disease (ESRD) [7]. In addition, treatment of asymptomatic hyperuricemia has been reported to improve kidney function [8, 9]. However, the role of uric acid in kidney graft survival remains controversial. Hyperuricemia has been associated with chronic allograft nephropathy [10, 11] and graft failure [12, 13]; whereas, the SYMPHONY study showed that serum uric acid is not an independent risk factor for graft failure [14]. Additionally, Kim et al reported that hyperuricemia showed no independent association with graft outcome using a marginal structural model [15].
Hyperuricemia is closely related to kidney dysfunction due to decreased urate excretion and is used as a marker of kidney damage. However, hyperuricemia with normal kidney function could also be a contributor to adverse renal outcome such as ESRD. We hypothesized that early onset hyperuricemia after kidney transplantation is distinct from the hyperuricemia that is generated from graft dysfunction. Therefore, we investigated the clinical impact of early onset hyperuricemia on graft dysfunction, cardiovascular events and recipient mortality using propensity score matching (PSM) analysis with a multicenter cohort. Then we evaluated the association of time-varying hyperuricemia and graft dysfunction using time-varying Cox proportional hazards model and marginal structural model.
Materials and methods
Study population
A total of 3374 adult KTRs who underwent kidney transplantation between January 1999 and August 2012 at Seoul National University Hospital and Asan Medical Center were screened. The patients with following criteria were excluded: (1) retransplant (n = 127), (2) simultaneous liver kidney transplant, simultaneous pancreas kidney transplant or simultaneous heart kidney transplant (n = 130), (3) early graft loss or mortality within 3 months (n = 38), (4) prescription of uric acid-lowering agents consistently from pre-transplant to post-transplant (n = 104), (5) no data of serum uric acid or serum creatinine at 3 months after transplantation (n = 355). The remaining 2620 participants were followed from 3 months after transplant until death or March 31, 2015. (Fig 1).
We reviewed the medical records of 3374 individuals and collected data from 2620 recipients. After propensity score matching, 1296 patients remained in the final analysis.
Hyperuricemia was defined as a serum uric acid (SUA) level over 7.0 mg/dL for males or over 6.0 mg/dL for females or based on the use of urate-lowering agents such as allopurinol, febuxostat or benzbromarone. The study population was classified into two groups: a hyperuricemic group and a normouricemic group.
The study was approved by our Institutional Review Board (H-1507-027-686), and the need for informed consent was waived due to the retrospective design. The study was conducted in accordance with the 2008 Declaration of Helsinki.
Data collection
The demographics and laboratory results of the KTRs were retrospectively obtained from medical records. Age; gender; body weight; transplant date and donor type; donor age; donor gender; comorbid disease; post-transplant medications including immunosuppressants and urate-lowering agents; and laboratory data were collected. Steroids, calcineurin inhibitors, and inhibitors of purine synthesis were used as the basic immuonosuppressive agents. We reviewed serum levels of creatinine (SCr), SUA, hemoglobin, albumin, and total cholesterol. Data for SUA and SCr were collected at 1, 3, 6, 9, 12, 18, 24, 36, 48 and 60 months after transplantation. SCr was measured using the kinetic alkaline picrate (Jaffe) reaction and was standardized using an isotope dilution mass spectrometry method. Body mass index (BMI) and prescription of allopurinol, febuxostat, and benzbromarone were also reviewed. Estimated glomerular filtration rate (eGFR) was calculated using the CKD Epidemiology Collaboration equation [16]. Ischemic heart disease (IHD) was diagnosed if any of the following medical histories were present: angina pectoris confirmed by coronary angiography or myocardial scintigraphy; coronary artery revascularization, such as percutaneous coronary intervention or coronary artery bypass grafting; and myocardial infarction
Outcomes and statistical analyses
The primary objective was to evaluate whether hyperuricemia affected graft survival. Graft failure was defined as the need for dialysis, the need for subsequent renal transplantation, or death with a functioning graft. The secondary objective was to evaluate the associations of hyperuricemia with IHD and patient survival.
Categorical variables were presented as frequencies, and proportions were compared using the chi-square test. Continuous variables were compared using Student’s t-test. Most continuous values were expressed as the mean ± standard deviation. A logistic regression model was used to investigate independent associated factors of hyperuricemia. Kaplan-Meier survival curves were compared with log-rank tests.
In Cox proportional hazard regression analyses with time-fixed hyperuricemia, hyperuricemia at 3 months after transplantation was considered as a categoric variable. Significant factors in univariate analysis were included in the final model in multivariate analyses to determine the associations between hyperuricemia and graft failure, ischemic heart disease, and mortality. PSM was used to adjust for cases of hyperuricemia associated with decreased eGFR. Propensity scores were estimated using multiple logistic regression analysis adjusted for recipient age, gender, eGFR, and donor type. We then matched the patients in the normouricemic and hyperuricemic groups with similar propensity scores at a 1:1 ratio using the nearest neighbor method, no replacements and no caliper. The characteristics of both groups were compared before and after the PSM.
Time-varying Cox model was fitted to estimate the independent association with longitudinal change in hyperuricemia. Estimated GFR was considered as time-varying covariates. A marginal structural model estimated the independent association between a time-varying exposure of hyperuricemia and graft failure, with eGFR as a time-varying confounder. A P-value of <0.05 was considered statistically significant. All statistical analyses were conducted using SPSS version 22.0 (SPSS Inc., Chicago, IL, USA) and STATA 13 (StataCorp LP, College Station, TX). R software (version 2.15.0) was used for the PSM.
Results
Trends in serum uric acid levels and proportion of hyperuricemic patients after kidney transplantation
The trends in SUA levels and the proportion of hyperuricemic patients after transplantation are depicted in Fig 2A and 2B, respectively. SUA levels showed a rapid upward shift until 6 months after transplantation; the mean concentrations rose from 5.0 ± 1.5 mg/dL at 1 month to 6.1 ± 1.5 mg/dL at 6 months in the male patients and from 4.7 ± 1.5 mg/dL at 1 month to 5.2 ± 1.4 mg/dL at 6 months in the female patients. The proportion of patients with hyperuricemia increased over time, reaching 35.2% of the cohort by 1 year and 44.2% by 5 years after transplantation. The number of KTRs taking urate-lowering agents consistently increased from 152 (5.8%) at 3 months to 313 (11.9%) at 1 year, and 596 (22.7%) at 5 years after transplantation.
Serum uric acid level rose steadily and the proportion of hyperuricemia increased over time after transplantation.
Baseline characteristics and clinical parameters of the KTRs
The clinical characteristics of the 2620 included KTRs are summarized in Table 1. The mean age of the recipients at the time of transplantation was 42.1 ± 11.4 years old, and 59.0% were male. The most common primary renal diseases were glomerulonephritis (20.6%), diabetes (13.6%) and hypertension (7.1%). 6.1% of the patients underwent preemptive renal transplants and 75.6% of which were performed as living donor kidney transplantations (LDKTs). A total of 84.4% of the KTRs had hypertension, and 18.2% had diabetes. Among the included KTRs, 657 (25.1%) were hyperuricemic, and 152 patients in this group were taking urate-lowering agents. There were no differences in age and gender distribution, cause of ESRD, the mean body mass index (BMI), the number of human leukocyte antigen (HLA) mismatches or the usage of thiazide between normouricemic and hyperuricemic group. There was no difference in proportion of hyperuricemia or level of serum uric acid between cyclosporin and tacrolimus usage. The proportion of patients who underwent LDKT was large in normouricemic group (Table 1).
Table 2 shows the laboratory parameters measured at 3 months after transplantation. The mean SUA level was 5.6 ± 1.5 mg/dL, and the mean SCr concentration was 1.2 ± 0.4 mg/dL at this time point. The mean eGFR was 70.5 ± 19.7 ml/min/1.73 m2. The mean SUA level in the normouricemic group was 5.1 ± 1.1 mg/dL, and it was 7.4 ± 1.4 mg/dL in the hyperuricemic group. The hyperuricemic group showed lower levels of hemoglobin and total cholesterol and higher SCr compared to the normouricemic group (Table 2).
All of the patients in both groups were matched by propensity score using the following covariates: age, gender, donor type and eGFR. We assessed the balance between the groups using the standardized mean difference and the distribution of propensity scores to assess the success of the PSM analysis (S1 Fig)
After the PSM, 648 subjects remained in each group. Of the patients subjected to PSM, almost all the baseline parameters, including age, gender, cause of ESRD, type of donor, and number of HLA mismatches, were similar between the two groups (Table 1). There were no significant differences in 3-month total cholesterol, albumin, creatinine or eGFR between the two groups. SUA was significantly higher in the hyperuricemic group (normouricemic vs. hyperuricemic, 5.2 ± 1.0 mg/dL vs. 7.4 ± 1.4 mg/dL, p < 0.001) (Table 2).
Factors associated with hyperuricemia
The factors associated with hyperuricemia were analyzed. Hyperuricemia was associated with deceased donor kidney transplantation (DDKT), episodes of acute rejection within 3 months after transplantation, eGFR, hemoglobin level, and cholesterol level according to univariate analysis. Any variables deemed statistically significant by univariate analysis were subjected to multivariate analysis. Only DDKT (odds ratio = 2.157, p<0.001) and eGFR (odds ratio = 0.967, p<0.001) were independently associated with hyperuricemia at 3 months after transplantation according to multivariate analysis (Table 3).
Outcomes
The patients were followed up for 85.9 ± 53.3 months (median 72.0) post-transplant (85.3 ±52.5 and 87.8 ± 55.6 months for the two groups, p = 0.311). Graft loss occurred in 201(7.7%) of the patients. A total of 122(6.2%) cases in the normouricemic group and 79 (12.0%) cases in the hyperuricemic group lost their grafts (p<0.001, Fig 3A). After PSM, 43 (6.6%) cases in the normouricemic group and 79 (12.2%) cases in the hyperuricemic group lost their grafts (p = 0.001, Fig 3D).
The cumulative risk of graft survival (A), all-cause mortality (B) and ischemic heart disease events (C) in patients with and without hyperuricemia before propensity score matching. Kaplan-Meier curves for the cumulative risk of graft survival (D), all-cause mortality (E) and ischemic heart disease events (F) after propensity score matching.
To examine the independent association between SUA level and graft survival at 3 months post-transplant, we used multiple Cox regression analysis with the number of HLA mismatches, episodes of acute rejection, donor type, eGFR, and hyperuricemia before performing PSM (S1 Table). Hyperuricemia was a significant independent predictor for graft loss (HR = 1.56, 95% CI = 1.14–2.13, p = 0.005). After PSM, hyperuricemia showed an increased HR for graft loss (HR = 1.65, 95% CI = 1.13–2.42, p = 0.010) based on multiple Cox regression analysis (S1 Table).
During the study period, 83(3.2%) patients died, 56(2.9%) of whom were in the normouricemic group and 27(4.1%) of whom were in the hyperuricemic group. There was no difference in patient survival (p = 0.147, Fig 3B). Fig 3E also shows that hyperuricemia was not associated with patient survival after PSM (p = 0.219).
IHD after transplantation occurred in 46(1.8%) cases, and there was no post-transplant difference between the two groups before (p = 0.800, Fig 3C) and after PSM (p = 0.886, Fig 3F).
Further analysis with time-varying and marginal structural Cox regression analyses were performed to account for time-varying nature of hyperuricemia. Table 4 showed association of hyperuricemia with graft loss using conventional Cox, time-varying Cox, and marginal structural Cox regression analyses. Hyperuricemia was a significant risk factor for graft loss in time-varying Cox (HR = 1.78, 95% CI = 1.30–2.43, p < 0.001) or marginal structural model (HR = 2.42, 95% CI = 1.42–4.11, p = 0.001).
The subjects were categorized into two subgroups according to eGFR at 3 months after transplantation. Hyperuricemia was significantly associated with graft loss in time-varying hyperuricemia (HR = 1.96, 95% CI = 1.33–2.89, p = 0.001) and marginal structural model (HR = 2.99, 95% CI = 1.37–6.51, p = 0.006) in the subjects with eGFR over 60ml/min/1.73m2. In the subjects with eGFR under 60 ml/min/1.73m2, hyperuricemia was still associated with graft loss in marginal structural model (HR = 1.84, 95% CI = 1.02–3.33, p = 0.044), however, not in time-varying cox model (HR = 1.66, 95% CI = 0.99–2.77, p = 0.053) (Table 4).
Discussion
In the current study, we examined the predictive value of hyperuricemia at 3 months post-transplantation for long-term graft outcomes. Almost half of the KTRs included in the study developed hyperuricemia within 5 years after transplantation. There was a significant correlation between SUA level and corresponding eGFR; however, even after adjustment for eGFR and PSM, hyperuricemia was significantly associated with worse graft outcome.
Improving the long-term outcome of kidney transplantation depends on identifying novel risk factors that lead to poor outcomes. Many clinicians consider uric acid as a risk factor for graft loss; however, whether SUA has a causative role in graft dysfunction is inconclusive. Most previous studies regarding hyperuricemia in KTRs were performed using a retrospective design and a small sample size [17]. Additionally, the various associated confounders makes it difficult to validate the causality of hyperuricemia on graft dysfunction. We verified hyperuricemia as a prognostic marker for graft survival using PSM, time-varying cox and marginal structural model.
Various time points and statistical techniques have been used to investigate the causal relationship between uric acid and graft outcomes; the time points previously used include one month [14, 18], 3 month [19, 20], 6 month [12, 13], and one year post-transplantation [4, 11] assessments, or time-average or time-varying uric acid levels [2, 10, 21, 22]. In the current study, we chose a 3-month fixed time point and used PSM to adjust for baseline graft function. Three months post-transplantation is the time that KTRs are most often referred back to primary nephrologists at many transplant centers. Furthermore, early graft function in the first 3 months is well correlated with long-term graft survival [23, 24]. In addition, further analysis were done to consider time varying nature with eGFR and hyperuricemia. Hyperuricemia was still significantly associated with graft loss in time-varying Cox or marginal structural model, especially in subjects with preserved eGFR.
Although previous study by Kim et al [15] suggested that elevated uric acid was not associated with an increased risk in graft failure using a marginal structural model, we demonstrated hyperuricemia showed an increased risk for graft failure. We defined hyperuricemia not just by serum uric acid level, but also by usage of urate-lowering agents. Furthermore, our study population was larger and had longer follow up duration compared with Kim’s study. We think these differences could draw a contrary conclusion. Well-designed further study should be warranted to know the role of uric acid in graft outcome.
In this study, type of donor (DDKT) and eGFR were independently associated with gender-specific hyperuricemia. Kidney dysfunction is a widely known risk factor of hyperuricemia, while association with DDKT is not well recognized. Acute tubular necrosis is a common complication associated with allograft transplants from deceased donors with prolonged ischemia time, causing delayed graft function or primary nonfunction [25]. As the proximal tubule is the primary site of uric acid reabsorption and secretion [26], we hypothesize that tubulopathy occurring during organ harvest and ischemic reperfusion injury leads to hyperuricemia.
A consensus on whether to treat asymptomatic hyperuricemia in CKD has not been established, and current international guidelines do not recommend the treatment of asymptomatic hyperuricemia in patients with CKD [27] or KTRs [28]. A few reports have stated that using medication to lower uric acid levels defers the deterioration of renal dysfunction in CKD [29–31]. For KTRs, there have been no randomized controlled trials to date, but some small-scale observational studies have been reported. For example, Osadchuk et al reported that allopurinol use was effective in preserving eGFR in KTRs [32], and Tojimbara et al reported that febuxostat has good effects in lowering uric acid levels and in preserving eGFR [33].
In animal studies, the use of the xanthine oxidase inhibitors allopurinol [34, 35] or febuxostat [36, 37] was shown to reduce reactive oxygen species levels, suppress proinflammatory cytokine production and improve endothelial dysfunction. In human studies, the use of xanthine oxidase inhibitors was shown to improve endothelial function [38, 39], normalize blood pressure [40], and reduce left ventricular mass [41, 42]. Xanthine oxidase inhibitors are expected to exert similar effects in KTRs; however, meticulous care is required when prescribing urate-lowering medications to such patients due to potentially unknown immunosuppressant actions and drug interactions. Here, we demonstrated that uric acid might contribute to allograft dysfunction; however, we cannot conclude whether hyperuricemia should be treated based on our current results. A well-designed, large-scale, randomized controlled study is needed to show the effects of treating hyperuricemia.
Hyperuricemia was related to graft failure, but not to patient mortality or cardiovascular outcome. However, the total numbers of patient deaths and adverse cardiovascular outcomes in the current study were too small to form robust conclusions. Cardiovascular events are relatively rare in Korea in both the general population [43] and in KTRs [44]. Additionally, the proportion of patients with diabetes was relatively small, and it is likely that only well-selected patients underwent kidney transplantation.
There are several limitations in the current study. First, the study was performed using a retrospective cohort design, so several factors influencing SUA and dosage of immunosuppressants were not fully collected. Second, the effects of urate-lowering agents could not be investigated. Despite these limitations, the current multi-center, retrospective cohort study still provided useful information on how hyperuricemia affects graft outcome based on PSM or time varying covariate.
In summary, post-transplant hyperuricemia, especially early onset hyperuricemia, strongly correlates with poor graft outcome. Further studies are warranted to determine whether lowering serum uric acid levels would be beneficial to graft survival.
Supporting information
S1 Fig. Distribution of propensity scores before and after propensity score matching.
(A) The standardized mean difference and (B) the distribution in propensity scores before and after propensity score matching. The propensity scores of matched patients were almost the same between groups.
https://doi.org/10.1371/journal.pone.0176786.s001
(TIF)
S1 Table. Multiple Cox regression analysis for graft loss in before and after propensity score matching.
https://doi.org/10.1371/journal.pone.0176786.s002
(DOCX)
Author Contributions
- Conceptualization: JPL YKO YHK.
- Formal analysis: MH SP.
- Investigation: YCK CA DJH JH YSK.
- Methodology: YK SP.
- Writing – original draft: MH JPL.
- Writing – review & editing: IMJ CSL YHK.
References
- 1. Kalantar E, Khalili N, Hossieni MS, Rostami Z, Einollahi B. Hyperuricemia after renal transplantation. Transplant Proc. 2011;43(2):584–5. pmid:21440768
- 2. Kim KM, Kim SS, Han DJ, Yang WS, Park JS, Park SK. Hyperuricemia in kidney transplant recipients with intact graft function. Transplant Proc. 2010;42(9):3562–7. pmid:21094816
- 3. Malheiro J, Almeida M, Fonseca I, Martins LS, Pedroso S, Dias L, et al. Hyperuricemia in adult renal allograft recipients: prevalence and predictors. Transplant Proc. 2012;44(8):2369–72. pmid:23026595
- 4. Numakura K, Satoh S, Tsuchiya N, Saito M, Maita S, Obara T, et al. Hyperuricemia at 1 year after renal transplantation, its prevalence, associated factors, and graft survival. Transplantation. 2012;94(2):145–51. pmid:22728291
- 5. Weiner DE, Tighiouart H, Elsayed EF, Griffith JL, Salem DN, Levey AS. Uric acid and incident kidney disease in the community. J Am Soc Nephrol. 2008;19(6):1204–11. pmid:18337481
- 6. Obermayr RP, Temml C, Gutjahr G, Knechtelsdorfer M, Oberbauer R, Klauser-Braun R. Elevated uric acid increases the risk for kidney disease. J Am Soc Nephrol. 2008;19(12):2407–13. pmid:18799720
- 7. Iseki K, Ikemiya Y, Inoue T, Iseki C, Kinjo K, Takishita S. Significance of hyperuricemia as a risk factor for developing ESRD in a screened cohort. Am J Kidney Dis. 2004;44(4):642–50. pmid:15384015
- 8. Kanbay M, Huddam B, Azak A, Solak Y, Kadioglu GK, Kirbas I, et al. A randomized study of allopurinol on endothelial function and estimated glomular filtration rate in asymptomatic hyperuricemic subjects with normal renal function. Clin J Am Soc Nephrol. 2011;6(8):1887–94. pmid:21784838
- 9. Kanbay M, Ozkara A, Selcoki Y, Isik B, Turgut F, Bavbek N, et al. Effect of treatment of hyperuricemia with allopurinol on blood pressure, creatinine clearence, and proteinuria in patients with normal renal functions. Int Urol Nephrol. 2007;39(4):1227–33. pmid:17701281
- 10. Hart A, Jackson S, Kasiske BL, Mauer MS, Najafian B, Matas AJ, et al. Uric acid and allograft loss from interstitial fibrosis/tubular atrophy: post hoc analysis from the angiotensin II blockade in chronic allograft nephropathy trial. Transplantation. 2014;97(10):1066–71. pmid:24503762
- 11. Min SI, Yun IJ, Kang JM, Park YJ, Min SK, Ahn C, et al. Moderate-to-severe early-onset hyperuricaemia: a prognostic marker of long-term kidney transplant outcome. Nephrol Dial Transplant. 2009;24(8):2584–90. pmid:19395726
- 12. Haririan A, Nogueira JM, Zandi-Nejad K, Aiyer R, Hurley H, Cooper M, et al. The independent association between serum uric acid and graft outcomes after kidney transplantation. Transplantation. 2010;89(5):573–9. pmid:19997058
- 13. Akalin E, Ganeshan SV, Winston J, Muntner P. Hyperuricemia is associated with the development of the composite outcomes of new cardiovascular events and chronic allograft nephropathy. Transplantation. 2008;86(5):652–8. pmid:18791445
- 14. Meier-Kriesche HU, Schold JD, Vanrenterghem Y, Halloran PF, Ekberg H. Uric acid levels have no significant effect on renal function in adult renal transplant recipients: evidence from the symphony study. Clin J Am Soc Nephrol. 2009;4(10):1655–60. pmid:19713295
- 15. Kim ED, Famure O, Li Y, Kim SJ. Uric acid and the risk of graft failure in kidney transplant recipients: A re-assessment. Am J Transplant. 2015;15(2):482–8. pmid:25612498
- 16. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12. pmid:19414839
- 17. Huang Y, Li YL, Huang H, Wang L, Yuan WM, Li J. Effects of hyperuricemia on renal function of renal transplant recipients: a systematic review and meta-analysis of cohort studies. PLoS One. 2012;7(6):e39457. pmid:22745759
- 18. Akgul A, Bilgic A, Ibis A, Ozdemir FN, Arat Z, Haberal M. Is uric acid a predictive factor for graft dysfunction in renal transplant recipients? Transplant Proc. 2007;39(4):1023–6. pmid:17524881
- 19. Choi JY, Kwon OJ. The association between serum uric acid levels at 3 months after renal transplantation and the graft outcome in living donor renal transplantation. Transplant Proc. 2013;45(4):1548–52. pmid:23726617
- 20. Dahle DO, Jenssen T, Holdaas H, Leivestad T, Vardal M, Mjoen G, et al. Uric acid has a J-shaped association with cardiovascular and all-cause mortality in kidney transplant recipients. Clin Transplant. 2014;28(1):134–40. pmid:24372653
- 21. Chung BH, Kang SH, Hwang HS, Choi BS, Park CW, Kim YS, et al. Clinical significance of early-onset hyperuricemia in renal transplant recipients. Nephron Clin Pract. 2011;117(3):c276–83. pmid:20847570
- 22. Kim KM, Kim SS, Yun S, Lee MS, Han DJ, Yang WS, et al. Uric acid contributes to glomerular filtration rate deterioration in renal transplantation. Nephron Clin Pract. 2011;118(2):c136–42. pmid:21150221
- 23. Nankivell BJ, Fenton-Lee CA, Kuypers DR, Cheung E, Allen RD, O'Connell PJ, et al. Effect of histological damage on long-term kidney transplant outcome. Transplantation. 2001;71(4):515–23. pmid:11258430
- 24. Hassanain M, Tchervenkov JI, Cantarovich M, Metrakos P, Paraskevas S, Keith D, et al. Recovery of graft function early posttransplant determines long-term graft survival in deceased donor renal transplants. Transplant Proc. 2009;41(1):124–6. pmid:19249494
- 25. Perico N, Cattaneo D, Sayegh MH, Remuzzi G. Delayed graft function in kidney transplantation. Lancet. 2004;364(9447):1814–27. pmid:15541456
- 26. Kang DH. Hyperuricemia: A non-traditional risk factor for development and progression of chronic kidney disease? Kidney Res Clin Pract. 2012;31(3):129–31. pmid:26889421
- 27. Kasiske BL, Wheeler DC. KDIGO clinical practice guideline for the evaluation and management of chronic kidney disease foreword. Kidney Int Suppl. 2013;3(1):2.
- 28. Eckardt KU, Kasiske BL. KDIGO clinical practice guideline for the care of kidney transplant recipients. Am J Transplant. 2009;9:S1–S155.
- 29. Goicoechea M, de Vinuesa SG, Verdalles U, Ruiz-Caro C, Ampuero J, Rincon A, et al. Effect of allopurinol in chronic kidney disease progression and cardiovascular risk. Clin J Am Soc Nephrol. 2010;5(8):1388–93. pmid:20538833
- 30. Sircar D, Chatterjee S, Waikhom R, Golay V, Raychaudhury A, Chatterjee S, et al. Efficacy of Febuxostat for Slowing the GFR Decline in Patients With CKD and Asymptomatic Hyperuricemia: A 6-Month, Double-Blind, Randomized, Placebo-Controlled Trial. Am J Kidney Dis. 2015;66(6):945–50. pmid:26233732
- 31. Siu YP, Leung KT, Tong MK, Kwan TH. Use of allopurinol in slowing the progression of renal disease through its ability to lower serum uric acid level. Am J Kidney Dis. 2006;47(1):51–9. pmid:16377385
- 32. Osadchuk L, Bashir MH, Tangirala B, Marcus RJ, Nashar K, Hussain SM, et al. Effect of allopurinol on slowing allograft functional decline in kidney transplant recipients. Exp Clin Transplant. 2014;12(3):190–4. pmid:24907717
- 33. Tojimbara T, Nakajima I, Yashima J, Fuchinoue S, Teraoka S. Efficacy and safety of febuxostat, a novel nonpurine selective inhibitor of xanthine oxidase for the treatment of hyperuricemia in kidney transplant recipients. Transplant Proc. 2014;46(2):511–3. pmid:24656001
- 34. Choi YJ, Yoon Y, Lee KY, Hien TT, Kang KW, Kim KC, et al. Uric acid induces endothelial dysfunction by vascular insulin resistance associated with the impairment of nitric oxide synthesis. FASEB J. 2014;28(7):3197–204. pmid:24652948
- 35. Khosla UM, Zharikov S, Finch JL, Nakagawa T, Roncal C, Mu W, et al. Hyperuricemia induces endothelial dysfunction. Kidney Int. 2005;67(5):1739–42. pmid:15840020
- 36. Nomura J, Busso N, Ives A, Matsui C, Tsujimoto S, Shirakura T, et al. Xanthine oxidase inhibition by febuxostat attenuates experimental atherosclerosis in mice. Sci Rep. 2014;4:4554. pmid:24686534
- 37. Tsuda H, Kawada N, Kaimori JY, Kitamura H, Moriyama T, Rakugi H, et al. Febuxostat suppressed renal ischemia-reperfusion injury via reduced oxidative stress. Biochem Biophys Res Commun. 2012;427(2):266–72. pmid:22995295
- 38. Guthikonda S, Sinkey C, Barenz T, Haynes WG. Xanthine oxidase inhibition reverses endothelial dysfunction in heavy smokers. Circulation. 2003;107(3):416–21. pmid:12551865
- 39. Baldus S, Koster R, Chumley P, Heitzer T, Rudolph V, Ostad MA, et al. Oxypurinol improves coronary and peripheral endothelial function in patients with coronary artery disease. Free Radic Biol Med. 2005;39(9):1184–90. pmid:16214034
- 40. Feig DI, Soletsky B, Johnson RJ. Effect of allopurinol on blood pressure of adolescents with newly diagnosed essential hypertension: a randomized trial. JAMA. 2008;300(8):924–32. pmid:18728266
- 41. Rekhraj S, Gandy SJ, Szwejkowski BR, Nadir MA, Noman A, Houston JG, et al. High-dose allopurinol reduces left ventricular mass in patients with ischemic heart disease. J Am Coll Cardiol. 2013;61(9):926–32. pmid:23449426
- 42. Kao MP, Ang DS, Gandy SJ, Nadir MA, Houston JG, Lang CC, et al. Allopurinol benefits left ventricular mass and endothelial dysfunction in chronic kidney disease. J Am Soc Nephrol. 2011;22(7):1382–9. pmid:21719783
- 43. Jee SH, Jang Y, Oh DJ, Oh BH, Lee SH, Park SW, et al. A coronary heart disease prediction model: the Korean Heart Study. BMJ Open. 2014;4(5):e005025. pmid:24848088
- 44. Jeong JC, Ro H, Hwang YH, Lee HK, Ha J, Ahn C, et al. Cardiovascular diseases after kidney transplantation in Korea. J Korean Med Sci. 2010;25(11):1589–94. pmid:21060747