Literature DB >> 29095953

Effects of uric acid-lowering therapy in patients with chronic kidney disease: A meta-analysis.

Xiaole Su1, Boyang Xu1, Bingjuan Yan1, Xi Qiao1, Lihua Wang1.   

Abstract

BACKGROUND AND OBJECTIVES: The effects of uric acid-lowering therapy in patients with chronic kidney disease (CKD) remain uncertain. Therefore, we undertook a systematic review and meta-analysis to investigate the effects of uric acid-lowering agents on major clinical outcomes of CKD. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: According to the pre-specified protocol that was registered with PROSPERO (No. CRD42016038030), we searched systematically in MEDLINE, EMBASE, and the Cochrane Library for trials up to February 2016. Prospective, randomized, controlled trials assessing the effects of uric acid-lowering agents on cardiovascular and kidney outcomes in patients with CKD were included. Random-effects analytical methods were used.
RESULTS: Sixteen eligible trials were identified, providing data for 1,211 patients with CKD, including 146 kidney failure events and 69 cardiovascular events. Uric acid-lowering therapy produced a 55% relative risk (RR) reduction (95% confidence interval [95% CI], 31-64) for kidney failure events (P < 0.001), and a 60% RR reduction (95% CI, 17-62) for cardiovascular events (P < 0.001), but had no significant effect on the risk of all-cause death (RR, 0.86; 95% CI, 0.50-1.46). The mean differences in rate of decline in the estimated glomerular filtration rate (4.10 mL/min/1.73 m2 per year slower in uric acid-lowering therapy recipients, 95% CI, 1.86-6.35) and the standardized mean differences in the change in proteinuria or albuminuria (-0.23 units of standard deviation greater in uric acid-lowering therapy recipients; 95% CI, -0.43 to -0.04) were also statistically significant.
CONCLUSIONS: Uric acid-lowering therapy seemed to improve kidney outcomes and reduce the risk of cardiovascular events in adults with CKD.

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Year:  2017        PMID: 29095953      PMCID: PMC5667873          DOI: 10.1371/journal.pone.0187550

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Chronic kidney disease (CKD) is a severe public health challenge. The unfavorable impact of CKD includes not only progression to end-stage renal disease (ESRD), but also increased risk of all-cause mortality and cardiovascular disease [1-3]. Management of the progression of CKD aims to address a multiplicity of factors that are involved [4]. Published data implicate elevated serum uric acid concentration with the evolution of CKD, or vice versa [5-7], and the relationship could be circular, with each worsening the other [8]. Meanwhile, hyperuricemia has been implicated as a cause of hypertension and insulin resistance [9, 10], which may also lead to kidney disease. Whether elevated serum uric acid levels could be a consequence of CKD, a cause, or a marker of other risk factors that lead to kidney disease, is still under discussion. Uric acid-lowering therapy has been reported to delay the progression of kidney disease and/or reduce cardiovascular risk in patients with CKD [11-13] in several randomized controlled trials (RCTs). Conversely, no benefit from uric acid-lowering agents were concluded in a few other RCTs [14, 15]. Current RCTs are all suggestive smaller studies and several ongoing RCTs [16, 17] with a larger sample size and longer duration are expected to deliver their results in the near future. Two published meta-analyses have provided evidence of the relation between uric acid-lowering therapy and changes in the estimated glomerular filtration rate (eGFR) in populations with CKD; however, the results were discordant [18, 19]. Furthermore, both overviews did not evaluate the effects of uric acid-lowering therapy on dichotomous outcomes, including clinical kidney failure and cardiovascular events. Thus, the issue of whether uric acid-lowering agents should be used in asymptomatic individuals with CKD for the specific purpose of delaying CKD progression or reducing cardiovascular events remains inconclusive and controversial, and it is difficult for clinicians to interpret and apply these results. In this systematic review, we sought to synthesize all the available data from clinical trials and evaluate the effects of uric acid-lowering agents on renal and cardiovascular outcomes in patients with CKD.

Materials and methods

Data sources and search strategy

This systematic review was performed according to a pre-specified protocol [20] registered at the International Prospective Register of Systematic Reviews (CRD42016038030) and the reporting was in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [21] (S1 Checklist). Relevant RCTs were identified and searched in major electronic database without language restriction: MEDLINE via Ovid (from 1946 to Feb 2016), EMBASE (from 1966 to Feb 2016), and the Cochrane Central Register of Controlled Trials (no date restriction). We used Medical Subject Headings (MeSH) and the keywords CKD, RCTs, and all spellings of uric acid-lowering drugs, including allopurinol, benzbromarone, probenecid, sulfinpyrazone, febuxostat, rasburicase, and pegloticase. Although some other agents, such as angiotensin receptor blockers [22] and statins [23, 24], may also reduce the levels of uric acid, the primary effects of these agents would influence the kidney and cardiovascular outcomes. Accordingly, relevant studies on these agents were excluded. A search on ClinicalTrials.gov was also used to identify the ongoing, but unpublished, studies in this field. We combined this strategy with a manual search of reference lists from identified trials and review articles.

Study selection and outcome estimation

We included data from RCTs in which any uric acid-lowering agent was given to patients with CKD. These data were extracted from studies performed solely in people with CKD, as well as studies in which data on the CKD population could be obtained. We excluded those trials reporting a follow-up shorter than 6 months because we wanted to focus on longer-term outcomes. The primary outcomes were kidney failure events, which were defined as a more than 25% or 50% decrease in the eGFR [25], and doubling of serum creatinine and ESRD during the follow-up period. The secondary outcomes included the following: 1. Rate of change in eGFR per year. The difference from baseline in eGFR divided by the number of years between creatinine measurements (mL/min/1.73m2 per year); 2. Changes in proteinuria or albuminuria from baseline to the end of follow-up, including urinary protein excretion, urinary albumin excretion, protein to creatinine, and albumin to creatinine ratios; 3. Cardiovascular events, including cardiovascular mortality, myocardial infarction, unstable angina, acute coronary syndromes, stroke, coronary revascularization procedures, peripheral revascularization procedures, heart failure requiring hospitalization, and stent thrombosis or comparable definitions used by the authors of each trial; 4. All-cause mortality; 5. Drug-related adverse events.

Data extraction and quality assessment

Study selection, data extraction, and quality assessment were performed independently by two investigators (X.S. and B.X.), according to the prespecified study protocol [20]. The two investigators screened the titles and abstracts of records identified by the search strategies for eligibility. Disagreements were resolved by discussion with a third reviewer (L.W.). Data of the prespecified variables from the included studies were extracted into a computerized spreadsheet, including baseline study characteristics (design, follow-up duration, method of randomization, and withdrawals/dropouts); baseline patient characteristics (age, sex, CKD stage, mean proteinuria or albuminuria, eGFR, serum uric acid and creatinine concentrations); type, dose, and frequency of uric acid-lowering drugs used; outcome events; and adverse events. We assessed sources of bias using the Cochrane Collaboration risk-of-bias tool [26, 27], including an assessment of financial conflicts of interest [28]. We developed operational definitions for high, low, and unclear risk of bias for each of the eight validity domains (S1 Text). Furthermore, the study quality was also quantified using the Jadad scale [29].

Data synthesis and analysis

If individual study relative risks (RRs) were unavailable in the original article, RRs and 95% confidence intervals (CIs) for binary outcomes were calculated from event numbers extracted from each trial before data pooling. In calculating the RR values, we used the total number of patients randomized in each group as the corresponding denominator. We pooled risk estimates from individual trials using the Der Simonian-Laird random effects model [30]. Considering that the Der Simonian-Laird procedure can be unstable with small numbers of studies [31], a restricted maximum likelihood [32] or the empirical Bayes procedure [33] (equivalent to iterated Der Simonian-Laird) were applied to analyze the summary effects as a part of the sensitivity analysis. Where continuous scales of measurement were used, the mean differences with 95% CI were used to pool eGFRs, and the standardized mean differences with 95% CI were used to pool the proteinuria or albuminuria data. We carried out the following prespecified sensitivity analyses [20], using different random-effects estimation methods as above mentioned: exclusion of trials with sample sizes less than 50; exclusion of trials with follow-up years less than 12 months; and exclusion of trials with Jadad scores less than 2. Heterogeneity across the included trials was analyzed using I-squared or τ-squared statistics. We explored potential heterogeneity using prespecified subgroup analyses [20], including mean age, follow-up time, different uric acid-lowering agents, and baseline mean serum urate. Other analyses were post-hoc: number of participants and differences in the mean changes in serum urate. Between-group heterogeneity was assessed by the Chi-square test and metaregression [34]. A two-sided P-value < 0.05 was considered statistically significant. Stata version 14.0 was used for all statistical analyses (StataCorp LP, College Station, TX, USA).

Results

Search results and characteristics of included studies

The primary electronic search strategy found 8 585 records. Once duplicates had been removed, 7 270 abstracts were screened, and 153 publications were selected for full-text review, including seven trials identified from three review articles [18, 19, 35]. This process yielded 18 publications [11–15, 36–48] from 16 RCTs with 1 211 CKD patients (Fig 1). Table 1 summarizes the characteristics of the included studies. Median follow-up duration was 12 months (range, 6–84 months). Of the 16 RCTs, three different uric acid-lowering agents were studied: allopurinol, febuxostat, and pegloticase. Twelve trials [11, 13–15, 36, 40–43, 45, 46, 48] studied allopurinol, one trial [12] studied febuxostat, one trial [47] studied pegloticase, and the others [38, 39] compared allopurinol with febuxostat. The decline in serum urate ranged from 0.93 to 4.23 mg/dL.
Fig 1

Flow diagram of the search selection.

CKD, chronic kidney disease. *Identified from references of other review articles.

Table 1

Characteristics of included trials and patient.

Study (year)Inclusion criteriaOutcomeSize of studyTreatment group (mg/d)Control groupMean follow-up monthsMen (%)Mean age (years)Definition of CKDBaseline mean SUA (mg/dL)Baseline Scr (mg/dL)Difference of SUA decline (mg/dL)bJadad scoresFunding source
Siu YP, (2006) [13]UPE>0.5g/d and/or Scr >1.35mg/dLESRD, all-cause mortality, change of UPE, change of sUA51Allopurinol, 100–200mg/dStandard care124348Not defined9.841.754.033Non-industry
Liu J, (2007) [41]Scr 120–400μmol/L, sUA: men>420μmol/L, women>350μmol/LESRD, all-cause mortality, change of UPE, change of sUA47Allopurinol, 100–200mg/dStandard care126246Not defined9.831.714.012NA
Sarris E, (2007) [42]sUA>7mg/dL, Scr 1.5–3.0mg/dLall-cause mortality, change of sUA36Allopurinol, 150mg/dFree of treatment124750Not defined9.021.894.231NA
Lei J, (2009) [40]Scr 133–442μmol/L, sUA: men>420μmol/L, women>360μmol/LESRD & Scr double, all-cause mortality, change of sUA57Allopurinol, 100–200mg/dStandard care126849Not defined8.782.712.432NA
Zhou DY, (2009) [48]sUA: men>417μmol/L, women>357μmol/L, UPE>0.5g/d or eGFR<60ml/minrate of change in eGFR, change of sUA, change of UPE86Allopurinol, ≤200mg/dStandard care64359Not defined7.051.341.132NA
Deng YH, (2010) [36]Scr 133–442μmol/L, sUA: men 420–600μmol/L, women 360–600μmol/LESRD & Scr double, all-cause mortality, change of sUA61Allopurinol, 100–300mg/dStandard care125359Not defined8.782.522.752NA
Shen H, (2010) [43]Scr 133–442μmol/L, sUA: men>420μmol/L, women>350μmol/LESRD, all-cause mortality, change of sUA51Allopurinol, 100–200mg/dStandard care126747Not defined8.952.682.431NA
Kao MP, (2011) [14]LVMI: men≥115g/m2, women≥95g/m2, eGFR 30–60ml/minESRD or kidney failure events, all-cause mortality, rate of change in eGFR, change of sUA, change of PCR53Allopurinol, 300mg/dPlacebo95372Not defined7.2344.98a3.373Non-industry
Shi YJ, (2011) [15]age:18–70, biopsy-proven IgAN, UPE 0.15–2.0g/d, serum Alb>3.5g/dL, Scr<3mg/dL, BP<180/100mmHg, sUA men>7mg/dL, women>6mg/dLESRD, Scr double, all-cause mortality, rate of change in eGFR, change of sUA, change of PCR40Allopurinol, 100–300mg/dPlacebo65540IgAN7.851.351.803Non-industry
Tan Y, (2011) [45]DM, age>18, eGFR 30–60ml/min, UPE>0.5g/d,sUA: men 420–600μmol/L, women 360–600μmol/LESRD & Scr double, all-cause mortality, change of sUA140Allopurinol, (No exact dose)Standard care245159DKD8.772.533.412NA
Goldfarb DS, (2013) [38]uUA>700mg/d, age>18, history of kidney stones, calcium kidney stone ≥3 mm in its longestall-cause mortality, change of sUA, change of UPE99Allopurinol, 300mg/d; or Febuxostat, 80mg/dPlacebo68647Kidney stone6.271.012.243Industry
Ivanov DD, (2013) [39]asymptomatic hyperuricemia, CKD2–3rate of change in eGFR, change of sUA, change of ACR56Allopurinol, 300mg/d;or Febuxostat, 80mg/dFree of treatment14NANANot definedNANA1.191NA
Tuta L, (2014) [46]eGFR 30–59ml/minCV events, rate of change in eGFR125Allopurinol, 100mg/dStandard care12NANANot definedNANANA1NA
Yood RA, (2014) [47]age≥18, sUA≥8.0mg/dL, CKD stage 3–4rate of change in eGFR103Pegloticase 8mg/2w, or 8mg/4wPlacebo67162Not definedNA40.84aNA5Industry
Goicoechea, (2015) [11]eGFR<60ml/minESRD & 50% decline in eGFR, CV events, all-cause mortality, rate of change in eGFR, change of sUA, change of UAE113Allopurinol, 100mg/dStandard care84NA72Not defined7.551.751.903No funding supported
Sircar D, (2015) [12]age 18–65, eGFR 15–60ml/min, sUA≥7mg/dLESRD, CV events, all-cause mortality, rate of change in eGFR, change of sUA93Febuxostat, 40mg/dPlacebo67157Not defined8.592.113.405No funding supported

ACR, albumin to creatinine ratio; Alb, albumin; BP, blood pressure; CKD, chronic kidney disease; CV, cardiovascular; DKD, diabetic kidney disease; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; ESRD, end stage renal disease; IgAN, IgA nephropathy; LVMI, left ventricular mass index; NA, not available; PCR, protein to creatinine ratio; Scr, serum creatinine; UA, serum uric acid; UPE, urinary protein excretion; uUA, urinary uric acid.

aOnly eGFR available;

bBetween treatment and control groups.

Flow diagram of the search selection.

CKD, chronic kidney disease. *Identified from references of other review articles. ACR, albumin to creatinine ratio; Alb, albumin; BP, blood pressure; CKD, chronic kidney disease; CV, cardiovascular; DKD, diabetic kidney disease; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; ESRD, end stage renal disease; IgAN, IgA nephropathy; LVMI, left ventricular mass index; NA, not available; PCR, protein to creatinine ratio; Scr, serum creatinine; UA, serum uric acid; UPE, urinary protein excretion; uUA, urinary uric acid. aOnly eGFR available; bBetween treatment and control groups.

Risk of bias of the included studies

The methodological quality of the included trials was not high overall and varied substantially. Seven trials [11–15, 38, 47] had a Jadad scale of 3 to 5; the others scored less than 3 (Table 1). The results from the Cochrane Collaboration risk-of-bias tool are shown in S1 and S2 Figs. Overall, the proportion of trials with low risk of bias was 31% in terms of random sequence generation, 13% in terms of allocation concealment, 25% in terms of blinding of both participants and health care professionals, 13% in terms of blinding of outcome assessors, 81% in terms of attrition, and 75% in terms of reporting bias. With respect to conflicts of interest, 13% of the RCTs were funded by the pharmaceutical industry and 13% reported author-industry financial relationships. To investigate reporting/publication bias, we searched and found 41 protocols for 153 full-text reviewed articles. In 25 studies without reporting the available outcome, we did not find a preplanned available outcome.

Effects of uric acid-lowering therapy on kidney outcomes

Kidney failure events were reported in 10 trials [11–15, 36, 40, 41, 43, 45], including 706 participants, among whom 146 events were observed. As shown in Fig 2, uric acid-lowering therapy reduced the risk of kidney failure events by 55% (RR, 0.45; 95% CI, 0.31–0.64) compared with standard treatment or placebo, without evidence of heterogeneity (I = 12.5%; P for heterogeneity = 0.33). As a component of kidney failure events, ESRD events were reported in 10 trials [11–15, 36, 40, 41, 43, 45], including 706 patients and 66 events. Uric acid-lowering therapy reduced the risk of ESRD by 41% (RR, 0.59; 95% CI, 0.37–0.96; Fig 2) compared with standard treatment or placebo, with no significant heterogeneity (I = 0%).
Fig 2

Forest plot for the kidney failure events, cardiovascular events and all-cause mortality.

CI, confidence interval; eGFR, estimated glomerular filtration rate; ESRD, end-stage renal disease; Scr, serum creatinine; SUA, serum uric acid. *Between treatment and control groups. #Number of trials.

Forest plot for the kidney failure events, cardiovascular events and all-cause mortality.

CI, confidence interval; eGFR, estimated glomerular filtration rate; ESRD, end-stage renal disease; Scr, serum creatinine; SUA, serum uric acid. *Between treatment and control groups. #Number of trials. Eight trials [11, 12, 14, 15, 39, 46–48] involving 669 participants reported the effects of uric acid-lowering therapy on the rate of change in eGFR, one of which was analyzed as the second outcome [14]. When compared with the control group, uric acid-lowering agents showed a significant effect on slowing the rate of eGFR decline by 4.10 mL/min/1.73m2 per year (95% CI, 1.86–6.35; Fig 3). High amounts of heterogeneity were detected (I = 90.4%; P for heterogeneity < 0.001). Subgroup analyses did not show any differences between studies using the predefined characteristics (Table 2). The smaller sample size and fewer trials meant that prespecified subgroup analyses could be performed only partly.
Fig 3

Forest plot for the rate of change in estimated glomerular filtration rate (eGFR).

Positive values in difference of change represent slower decline for eGFR in uric acid-lowering therapy group than in control group. Ivanov, DD(A) and Ivanov, DD(F) were subgroups of Ivanov, DD (2013) study. CI, confidence interval; MD, mean difference; SD, standard deviation.

Table 2

Subgroup analysis of kidney function by outcome.

SubgroupNo. of trialsnWMD/SMD (95%CI)Mean uric-acid difference, mg/dLP for WMD/SMDI2P for heterogeneity testa
Rate of Change in eGFR
Different uric acid-lowering drugs
 Allopurinol64473.54 (0.91, 6.18)1.880.00891.7%0.56
 Febuxostat21198.27 (–4.90, 21.45)2.300.21895.4%
 Pegloticase11031.60 (–2.53, 5.73)NA0.447NA
Follow-up time
 <12 months53756.79 (0.10, 13.49)2.430.04790.9%0.67
 ≥12 months42942.19 (0.31, 4.07)1.430.02386.3%
Difference of SUA declineb
 <1.8mg/dl31424.80 (–1.24, 10.84)1.170.11995.0%0.87
 ≥1.8mg/dl42994.87 (–1.71, 11.46)2.620.14789.5%
Change of Proteinuria or Albuminuria
Different uric acid-lowering drugs
 Allopurinol7357–0.17 (–0.39, 0.04)2.540.1140%0.15
 Febuxostat275–0.59 (–1.10, –0.07)1.720.0250%
Age
 <484186–0.12 (–0.44, 0.19)2.570.4350%0.58
 ≥483190–0.24 (–0.55, 0.08)2.840.13715.4%
Baseline SUA
 <7.23 mg/dl3185–0.41 (–0.73, –0.09)1.870.0110%0.07
 ≥7.23 mg/dl4191–0.01 (–0.30, 0.27)3.300.9340.0%
Follow-up time
 <12 months5278–0.32 (–0.57, –0.07)2.160.0110%0.25
 ≥12 months4154–0.14 (–0.58, 0.31)2.610.54543.7%
Difference of SUA declineb
 <2.24mg/dl4182–0.40 (–0.70, –0.10)1.330.0090%0.15
 ≥2.24mg/dl5250–0.11 (–0.37, 0.16)3.180.4300%

Positive values in difference of the change represent slower decline in eGFR in uric acid-lowering therapy group than in control group. Negative values in difference of the change represent greater decreases for proteinuria or albuminuria in uric acid-lowering therapy group than in control group. Subgroups of age and baseline serum urate in rate of change in eGFR analysis were not analyzed due to insufficient data. CI, confidence interval; eGFR, estimated glomerular filtration rate; NA, not available; n, number of participants; SMD, standardized mean difference; SUA, serum uric acid; WMD, weighted mean difference.

aP value calculated by χ2 statistics was shown. Statistical significance of results from meta regression was consistent.

bBetween treatment and control groups

Forest plot for the rate of change in estimated glomerular filtration rate (eGFR).

Positive values in difference of change represent slower decline for eGFR in uric acid-lowering therapy group than in control group. Ivanov, DD(A) and Ivanov, DD(F) were subgroups of Ivanov, DD (2013) study. CI, confidence interval; MD, mean difference; SD, standard deviation. Positive values in difference of the change represent slower decline in eGFR in uric acid-lowering therapy group than in control group. Negative values in difference of the change represent greater decreases for proteinuria or albuminuria in uric acid-lowering therapy group than in control group. Subgroups of age and baseline serum urate in rate of change in eGFR analysis were not analyzed due to insufficient data. CI, confidence interval; eGFR, estimated glomerular filtration rate; NA, not available; n, number of participants; SMD, standardized mean difference; SUA, serum uric acid; WMD, weighted mean difference. aP value calculated by χ2 statistics was shown. Statistical significance of results from meta regression was consistent. bBetween treatment and control groups Seven trials [13–15, 38, 39, 41, 48] comprising 432 participants provided data for albuminuria or proteinuria. Among them, the data for urinary protein excretion was provided in four trials [13, 38, 41, 48] with 283 participants; the data for the protein to creatinine ratio in two trials [14, 15] with 93 participants; and the albumin to creatinine ratio in one trial [39] with 56 participants. The standardized mean difference in albuminuria or proteinuria was statistically significant (−0.23 units of standard deviation; 95% CI, −0.43 to −0.04; I = 0%; Fig 4).
Fig 4

Forest plot for the change in proteinuria or albuminuria.

Negative values in difference of change represent greater decreases for proteinuria or albuminuria in uric acid-lowering therapy group than in control group. Goldfarb, DS(A) and Goldfarb, DS(F) were subgroups of Goldfarb, DS (2013) study. Ivanov, DD(A) and Ivanov, DD(F) were subgroups of Ivanov, DD (2013) study. CI, confidence interval; SD, standard deviation; SMD, standard mean difference.

Forest plot for the change in proteinuria or albuminuria.

Negative values in difference of change represent greater decreases for proteinuria or albuminuria in uric acid-lowering therapy group than in control group. Goldfarb, DS(A) and Goldfarb, DS(F) were subgroups of Goldfarb, DS (2013) study. Ivanov, DD(A) and Ivanov, DD(F) were subgroups of Ivanov, DD (2013) study. CI, confidence interval; SD, standard deviation; SMD, standard mean difference.

Effects of uric acid-lowering therapy on cardiovascular events and all-cause mortality

Sixty-nine cardiovascular events were reported in only three trials [11, 12, 46] with 331 participants. Overall, compared with placebo or usual-care control groups, uric acid-lowering therapy produced a 60% reduction in the risk of cardiovascular events (RR, 0.40; 95% CI, 0.17–0.62; Fig 2), without evidence of heterogeneity (I = 0%). Data were available for 37 events of all-cause death in 12 trials [11–15, 36, 38, 40–43, 45] (841 participants). Our analysis showed no clear effect of uric acid-lowering therapy on the risk of all-cause death (RR, 0.86; 95% CI, 0.50–1.46; I = 0%; Fig 2).

Adverse effects

In all the included trials, no severe adverse events were reported. Mild to moderate transient adverse events related to uric acid-lowering therapy, including skin rash, arthralgia, gastrointestinal symptoms, and elevation of liver function enzyme, were reported in 12 trials [11–15, 36, 38, 41–43, 45, 48], at rates of 2.21, 1.67, 1.72, and 1.55%, respectively.

Sensitivity analysis

As shown in Table 3, almost all the results did not vary substantially according to the prespecified characteristics in the sensitivity analysis, including omitting studies with follow-up less than 12 months, omitting studies with a sample size less than 50 participants, omitting studies with a Jadad score less than or equal to 1, and using different random-effects estimation methods. A notable exception was that the effects of uric acid-lowering therapy on albuminuria or proteinuria became statistically non-significant compared with the control group in some sensitivity analyses.
Table 3

Sensitivity analyses of kidney function by outcome.

Kidney failure eventsESRDeGFRProteinuria
n/No.τ2RR95% CIn/No.τ2RR95% CIn/No.τ2MD95% CIn/No.τ2SMD95% CI
Base-case706/100.040.450.31, 0.64706/10<0.0010.590.37, 0.96669/88.484.101.86, 6.35432/7<0.001–0.23–0.43, –0.04
Omit sample size less than 50619/80.050.440.30, 0.65619/8<0.0010.610.38, 0.99629/78.594.111.85, 6.37345/5<0.001–0.32–0.54, –0.09
Omit follow-up less than 12 months520/7<0.0010.400.29, 0.54520/7<0.0010.490.29, 0.83294/32.952.190.31, 4.07154/30.09–0.14–0.58, 0.31
Omit Jadad scores with 1655/90.060.460.31, 0.67655/9<0.0010.610.38, 0.99488/635.115.540.14, 10.95376/6<0.001–0.19–0.40, 0.02
Different statistical methods
DL706/100.040.450.31, 0.64706/10<0.0010.590.37, 0.96669/88.484.101.86, 6.35432/7<0.001–0.23–0.43, –0.04
REML653/9<0.0010.440.32, 0.60613/8<0.0010.590.37, 0.96669/823.574.300.78, 7.81432/7<0.001–0.23–0.43, –0.04
EB653/90.060.450.31, 0.66613/8<0.0010.590.37, 0.96669/822.494.290.85, 7.73432/7<0.001–0.23–0.43, –0.04

Kidney failure events was defined as doubling of serum creatinine level or 50% decline in estimated GFR or end-stage renal disease. GFRs expressed in mL/min/1.73 m2. Sensitivity analyses of cardiovascular events and all-cause mortality were not performed due to smaller sample size and fewer trials. CI, confidence intervals; DL, DerSimonian-Laird; EB, empirical Bayes; eGFR, estimated glomerular filtration rate; ESRD, end stage renal disease; MD, mean difference; n, number of patients; No. number of trials; REML, restricted maximum likelihood; RR, relative risk; SMD, standardized mean difference.

Kidney failure events was defined as doubling of serum creatinine level or 50% decline in estimated GFR or end-stage renal disease. GFRs expressed in mL/min/1.73 m2. Sensitivity analyses of cardiovascular events and all-cause mortality were not performed due to smaller sample size and fewer trials. CI, confidence intervals; DL, DerSimonian-Laird; EB, empirical Bayes; eGFR, estimated glomerular filtration rate; ESRD, end stage renal disease; MD, mean difference; n, number of patients; No. number of trials; REML, restricted maximum likelihood; RR, relative risk; SMD, standardized mean difference.

Discussion

Hyperuricemia is common in patients with CKD, and whether uric acid-lowering therapy is required by patients with CKD to delay progression of CKD or decrease adverse cardiovascular outcomes has not been established completely over recent years. In this meta-analysis of 16 trials involving 1 211 patients with CKD, treatment with uric acid-lowering agents compared with placebo or usual-care resulted in a 55% relative reduction in the risk of kidney failure events, a 60% reduction in cardiovascular events, a mild reduction in proteinuria (0.23 units of standard deviation), and rate of decline in eGFR of 4.10 ml/min/1.73m2 per year. These significant benefits were consistent across major subgroups and sensitivity analyses. No significant effect was observed on the risk of all-cause mortality. Mild, transient, and uncommon adverse effects would not affect these benefits in the treatment in patients with CKD. This finding was surprising given that the risks of kidney failure and cardiovascular events were reduced by more than half. However, we assumed that these results should be interpreted with caution, because the included studies were limited as follows: low or very-low quality of contributing studies (9/16 trials with a Jadad score less than 3); a considerable proportion of missing baseline patient characteristics; heterogeneity in baseline kidney function, cause of CKD, duration of follow-up (6–84 months) and the definitions and assessments of kidney and cardiovascular outcomes across these studies; small sample size (all less than 200) and a low number of events, especially in cardiovascular outcomes, comprising only three trials with 69 events. The suboptimal quality of the included trials limited our ability to reach robust conclusions. Although it was possible that the positive effects of uric acid-lowering therapy on populations with CKD found in this study were limited, a similar association between kidney function and the benefit of uric acid-lowering therapy has been described in several studies [49, 50], which suggested a potentially important clinical relation. In a post-hoc analysis of the Reduction of Endpoints in Non-Insulin-Dependent Diabetes Mellitus With the Angiotensin II Antagonist Losartan (RENAAL) Study (1342 participants with diabetic nephropathy; median follow-up, 3.4 years) [22], the researchers found that each 0.5 mg/dL reduction in serum uric acid concentration was associated with a 6% (95% CI: 3–10) reduction in the risk of either doubling serum creatinine or onset of ESRD. Goicoechea et al. [11] performed a 7-year randomized study in 113 individuals with eGFR < 60 mL/min/1.73 m2. Allopurinol was shown to reduce the risk of kidney failure events (initiating dialysis therapy, and/or doubling serum creatinine level, and/or 50% decrease in eGFR) by 68% and the risk of cardiovascular events by 57%, which agrees with our study. In a recent meta-analysis of 19 RCTs enrolling 992 patients with CKD stage 3–5 [19], allopurinol reduced serum uric acid levels and blood pressure significantly, with a more favorable eGFR, compared with the controls. In another meta-analysis of eight RCTs [18], however, allopurinol had no effect on eGFR compared with the controls in five trials (n = 346) but abrogated increases in serum creatinine in three trials (n = 130). Notably, the literature searches did not capture trials published in languages other than English. Another possible beneficial effect from uric acid-lowering therapy is the reduction of cardiovascular risk. Numerous epidemiological studies have investigated the link between hyperuricemia and the incidence of major cardiovascular endpoints [6, 9, 51]; however, the relationship in the CKD population is conflicting because of the complicated interactions between serum uric acid levels and kidney function. An analysis published in 1999 of data from 6 763 subjects in the Framingham Heart Study cohort [52] observed a lack of association between uric acid and cardiovascular endpoints, which was likely because of major confounding factors, such as decreased GFR. In the First National Health and Nutrition Examination Survey (NHANES 1) [51], this association between uric acid levels and cardiovascular mortality was attenuated from 1.48 (95% CI: 1.13–1.96) to 1.25 (0.89–1.75), with hazard ratio and the statistical significance disappearing after adjustment for the albumin-creatinine ratio and eGFR. There were insufficient data on cardiovascular events (only three trials with 69 events) for the meta-analysis, although the 60% reduction cardiovascular events was explored. Only mild to moderate adverse effects of study drugs in our study might be related to the small sample size and short follow-up duration. However, adverse effects must always be kept in focus while prescribing this drug, particularly for allopurinol. Caution is needed in interpreting these results. To the best of our knowledge, the current study represents the largest systematic review of uric acid-lowering treatment administration on kidney and cardiovascular outcomes, and is the first meta-analysis to evaluate the effects of uric acid-lowering treatments on kidney failure events and cardiovascular risk in a population with CKD. Our study may provide some additional information with clinical evidence and form the basis for future research. It appears that decreasing serum uric acid levels is an alternative intervention to delay the progression of CKD and reduce cardiovascular events. Thus, lowering uric acid might represent a new therapeutic avenue in the population with CKD. Larger and well-designed RCTs are needed to confirm these benefits and to establish formally the effects of serum uric acid lowering on hard cardiovascular and renal endpoints. There are several limitations to our study. First, as has been noted, the included studies were of low quality, such as the lack of placebo control groups (only 5/16 trials). Different studies included the specific participants, such as IgA nephropathy [15] and diabetic nephropathy [45], and it’s not possible to use these data to all patients with chronic kidney disease. We need to acknowledge the low-quality trials and clinical heterogeneity limited the application and generalization of the conclusions. Prospective randomized trials should focus on relatively homogeneous patient populations, such as those with diabetes mellitus, or whether patients with different stages of CKD would benefit similarly or differently from uric acid-lowering therapy. Second, most of trials (15/16) were associated with xanthine oxidase inhibitors, including allopurinol and febuxostat. As discussed, it is possible that the favorable results for allopurinol and febuxostat might be related to an inhibitory effect on reactive oxygen species rather than lowering serum uric acid levels. The renoprotective effects from the inhibition of reactive oxygen species formation by xanthine oxidase inhibitors have not been discounted [53]. Among other uric acid-lowering agents, such as benzbromarone, lesinurad [54], and canagliflozin (sodium glucose transporter 2) [55], whether there is heterogeneity in terms of their effects on kidney and cardiovascular protection in patients with CKD requires confirmation with further studies. Third, the absence of patient-specific data and the varying design of the included studies are limitations of many meta-analyses; in an effort to nullify these factors, we included only RCTs. In conclusion, our meta-analysis indicated that uric acid-lowering therapy might improve kidney outcomes, including kidney failure events, proteinuria, and the rate of change in eGFR, and seem to reduce the risk of cardiovascular events in adults with CKD. The limitations of included studies (low quality and considerable clinical heterogeneity) meant that the results are not conclusive. Larger and well-designed RCTs of uric acid-lowering therapy are warranted to assess the precise renoprotective and cardiovascular protective effects of the therapy in a population with CKD.

PRISMA 2009 checklist.

(DOC) Click here for additional data file.

Risk of bias for the outcome.

(DOCX) Click here for additional data file.

Electronic search strategy.

(DOCX) Click here for additional data file.

Risk of bias graph.

Only abstract was available in Sarris.E 2007, Ivanov, DD 2013 and Tuta, L 2014. (PNG) Click here for additional data file.

Risk of bias summary.

(PNG) Click here for additional data file.
  39 in total

1.  Uric acid and chronic kidney disease: new understanding of an old problem.

Authors:  Duk-Hee Kang; Wei Chen
Journal:  Semin Nephrol       Date:  2011-09       Impact factor: 5.299

2.  Serum uric acid and risk for cardiovascular disease and death: the Framingham Heart Study.

Authors:  B F Culleton; M G Larson; W B Kannel; D Levy
Journal:  Ann Intern Med       Date:  1999-07-06       Impact factor: 25.391

3.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

4.  Clinical outcome of hyperuricemia in IgA nephropathy: a retrospective cohort study and randomized controlled trial.

Authors:  Yongjun Shi; Wei Chen; Diana Jalal; Zhibin Li; Wenfang Chen; Haiping Mao; Qiongqiong Yang; Richard J Johnson; Xueqing Yu
Journal:  Kidney Blood Press Res       Date:  2011-11-23       Impact factor: 2.687

5.  Allopurinol benefits left ventricular mass and endothelial dysfunction in chronic kidney disease.

Authors:  Michelle P Kao; Donald S Ang; Stephen J Gandy; M Adnan Nadir; J Graeme Houston; Chim C Lang; Allan D Struthers
Journal:  J Am Soc Nephrol       Date:  2011-06-30       Impact factor: 10.121

6.  Efficacy and tolerability of pegloticase for the treatment of chronic gout in patients refractory to conventional treatment: two randomized controlled trials.

Authors:  John S Sundy; Herbert S B Baraf; Robert A Yood; N Lawrence Edwards; Sergio R Gutierrez-Urena; Edward L Treadwell; Janitzia Vázquez-Mellado; William B White; Peter E Lipsky; Zeb Horowitz; William Huang; Allan N Maroli; Royce W Waltrip; Steven A Hamburger; Michael A Becker
Journal:  JAMA       Date:  2011-08-17       Impact factor: 56.272

7.  Uric acid level as a risk factor for cardiovascular and all-cause mortality in middle-aged men: a prospective cohort study.

Authors:  Leo K Niskanen; David E Laaksonen; Kristiina Nyyssönen; Georg Alfthan; Hanna-Maaria Lakka; Timo A Lakka; Jukka T Salonen
Journal:  Arch Intern Med       Date:  2004-07-26

8.  Efficacy of Febuxostat for Slowing the GFR Decline in Patients With CKD and Asymptomatic Hyperuricemia: A 6-Month, Double-Blind, Randomized, Placebo-Controlled Trial.

Authors:  Dipankar Sircar; Soumya Chatterjee; Rajesh Waikhom; Vishal Golay; Arpita Raychaudhury; Suparna Chatterjee; Rajendra Pandey
Journal:  Am J Kidney Dis       Date:  2015-07-30       Impact factor: 8.860

Review 9.  Urate lowering therapy to improve renal outcomes in patients with chronic kidney disease: systematic review and meta-analysis.

Authors:  Tahir Kanji; Mandark Gandhi; Catherine M Clase; Robert Yang
Journal:  BMC Nephrol       Date:  2015-04-19       Impact factor: 2.388

10.  Effect of canagliflozin on serum uric acid in patients with type 2 diabetes mellitus.

Authors:  M J Davies; A Trujillo; U Vijapurkar; C V Damaraju; G Meininger
Journal:  Diabetes Obes Metab       Date:  2015-02-15       Impact factor: 6.577

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  29 in total

1.  Association of serum uric acid levels with the incident of kidney disease and rapid eGFR decline in Chinese individuals with eGFR > 60 mL/min/1.73 m2 and negative proteinuria.

Authors:  Fangfang Zhou; Geping Yu; Guoyu Wang; Yunzi Liu; Liwen Zhang; Weiming Wang; Nan Chen
Journal:  Clin Exp Nephrol       Date:  2019-02-08       Impact factor: 2.801

2.  Does the Administration of Sevelamer or Nicotinamide Modify Uremic Toxins or Endotoxemia in Chronic Hemodialysis Patients?

Authors:  Aurelie Lenglet; Nicolas Fabresse; Méline Taupin; Cathy Gomila; Sophie Liabeuf; Said Kamel; Jean Claude Alvarez; Tilman B Drueke; Ziad A Massy
Journal:  Drugs       Date:  2019-06       Impact factor: 9.546

3.  Effect of Urate-Lowering Therapy on Cardiovascular and Kidney Outcomes: A Systematic Review and Meta-Analysis.

Authors:  Qi Chen; Zi Wang; Jingwei Zhou; Zhenjie Chen; Yan Li; Shichao Li; Hukang Zhao; Sunil V Badve; Jicheng Lv
Journal:  Clin J Am Soc Nephrol       Date:  2020-10-14       Impact factor: 8.237

Review 4.  Clinical Effects of Xanthine Oxidase Inhibitors in Hyperuricemic Patients.

Authors:  Arrigo F G Cicero; Federica Fogacci; Raffaele Ivan Cincione; Giuliano Tocci; Claudio Borghi
Journal:  Med Princ Pract       Date:  2020-10-09       Impact factor: 1.927

Review 5.  Asymptomatic hyperuricaemia: a silent activator of the innate immune system.

Authors:  Leo A B Joosten; Tania O Crişan; Petter Bjornstad; Richard J Johnson
Journal:  Nat Rev Rheumatol       Date:  2019-12-10       Impact factor: 20.543

6.  Effect of immediate and prolonged GLP-1 receptor agonist administration on uric acid and kidney clearance: Post-hoc analyses of four clinical trials.

Authors:  Lennart Tonneijck; Marcel H A Muskiet; Mark M Smits; Petter Bjornstad; Mark H H Kramer; Michaela Diamant; Ewout J Hoorn; Jaap A Joles; Daniël H van Raalte
Journal:  Diabetes Obes Metab       Date:  2018-02-20       Impact factor: 6.577

Review 7.  The case for uric acid-lowering treatment in patients with hyperuricaemia and CKD.

Authors:  Yuka Sato; Daniel I Feig; Austin G Stack; Duk-Hee Kang; Miguel A Lanaspa; A Ahsan Ejaz; L Gabriela Sánchez-Lozada; Masanari Kuwabara; Claudio Borghi; Richard J Johnson
Journal:  Nat Rev Nephrol       Date:  2019-07-11       Impact factor: 28.314

8.  Effect of Intensive Urate Lowering With Combined Verinurad and Febuxostat on Albuminuria in Patients With Type 2 Diabetes: A Randomized Trial.

Authors:  Austin G Stack; Nalina Dronamraju; Joanna Parkinson; Susanne Johansson; Eva Johnsson; Fredrik Erlandsson; Robert Terkeltaub
Journal:  Am J Kidney Dis       Date:  2020-10-29       Impact factor: 8.860

Review 9.  Hyperuricemia in Kidney Disease: A Major Risk Factor for Cardiovascular Events, Vascular Calcification, and Renal Damage.

Authors:  Abutaleb Ahsan Ejaz; Takahiko Nakagawa; Mehmet Kanbay; Masanari Kuwabara; Ada Kumar; Fernando E Garcia Arroyo; Carlos Roncal-Jimenez; Fumihiko Sasai; Duk-Hee Kang; Thomas Jensen; Ana Andres Hernando; Bernardo Rodriguez-Iturbe; Gabriela Garcia; Dean R Tolan; Laura G Sanchez-Lozada; Miguel A Lanaspa; Richard J Johnson
Journal:  Semin Nephrol       Date:  2020-11       Impact factor: 5.299

10.  Sex-Specific Association of Uric Acid and Kidney Function Decline in Taiwan.

Authors:  Po-Ya Chang; Yu-Wei Chang; Yuh-Feng Lin; Hueng-Chuen Fan
Journal:  J Pers Med       Date:  2021-05-15
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