Literature DB >> 30844048

Febuxostat for Cerebral and CaRdiorenovascular Events PrEvEntion StuDy.

Sunao Kojima1, Kunihiko Matsui2, Shinya Hiramitsu3, Ichiro Hisatome4, Masako Waki5, Kazuaki Uchiyama6, Naoto Yokota7, Eiichi Tokutake8, Yutaka Wakasa9, Hideaki Jinnouchi10, Hirokazu Kakuda11, Takahiro Hayashi12, Naoki Kawai13, Hisao Mori14, Masahiro Sugawara15, Yusuke Ohya16, Kazuo Kimura17, Yoshihiko Saito18, Hisao Ogawa19.   

Abstract

AIMS: To compare the occurrence of cerebral, cardiovascular, and renal events in patients with hyperuricaemia treated with febuxostat and those treated with conventional therapy with lifestyle modification. METHODS AND
RESULTS: This multicentre, prospective, randomized open-label, blinded endpoint study was done in 141 hospitals in Japan. A total of 1070 patients were included in the intention-to-treat population. Elderly patients with hyperuricaemia (serum uric acid >7.0 to ≤9.0 mg/dL) at risk for cerebral, cardiovascular, or renal disease, defined by the presence of hypertension, Type 2 diabetes, renal disease, or history of cerebral or cardiovascular disease, were randomized to febuxostat and non-febuxostat groups and were observed for 36 months. Cerebral, cardiovascular, and renal events and all deaths were defined as the primary composite event. The serum uric acid level at endpoint (withdrawal or completion of the study) in the febuxostat (n = 537) and non-febuxostat groups (n = 533) was 4.50 ± 1.52 and 6.76 ± 1.45 mg/dL, respectively (P < 0.001). The primary composite event rate was significantly lower in the febuxostat group than in non-febuxostat treatment [hazard ratio (HR) 0.750, 95% confidence interval (CI) 0.592-0.950; P = 0.017] and the most frequent event was renal impairment (febuxostat group: 16.2%, non-febuxostat group: 20.5%; HR 0.745, 95% CI 0.562-0.987; P = 0.041).
CONCLUSION: Febuxostat lowers uric acid and delays the progression of renal dysfunction. REGISTRATION: ClinicalTrials.gov (NCT01984749).
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.

Entities:  

Keywords:  Cardiovascular disease ; Cerebral disease ; Elderly patient ; Febuxostat ; Hyperuricaemia ; Renal disease

Mesh:

Substances:

Year:  2019        PMID: 30844048      PMCID: PMC6554652          DOI: 10.1093/eurheartj/ehz119

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


See page 1787 for the editorial comment on this article (doi:

Introduction

Hyperuricaemia, an abnormally high serum uric acid level, is the cause of gout and is associated with arthritis and tophus., Uric acid-lowering agents can prevent the recurrence of urate deposition-related diseases. Previous studies revealed that hyperuricaemia may contribute to the development and progression of chronic kidney disease (CKD), cerebral and cardiovascular diseases, and mortality. The metabolism of purine bases generates hypoxanthine, which is converted to uric acid in a two-step process catalysed by xanthine oxidoreductase, leading to a production of reactive oxygen species, which may be deeply associated with the development of cardiovascular events. Febuxostat, a nonpurine xanthine oxidoreductase inhibitor (XOI), was approved in 2011 in Japan, and clinical evaluation showed that febuxostat has a more potent serum uric acid-lowering action compared with allopurinol., However, the superiority of XOI for better cardiovascular outcomes is controversial., A recent cohort study revealed that there was no difference in the risk of all cause death and cardiovascular events between patients with febuxostat compared with allopurinol. The Febuxostat vs. Placebo Randomized Controlled Trial Regarding Reduced Renal Function in Patients With Hyperuricaemia Complicated by Chronic Kidney Disease (CKD) Stage 3 (FEATHER) study demonstrated that febuxostat did not show a suppressing effect on the estimated glomerular filtration rate (eGFR) decline compared with placebo in patients with Stage 3 CKD and asymptomatic hyperuricaemia. The Food and Drug Administration required the comparison of febuxostat and allopurinol for risk of serious adverse cardiovascular events; thus, a randomized controlled trial, the Cardiovascular Safety of Febuxostat and Allopurinol in Patients with Gout and Cardiovascular Morbidities (CARES) trial, was performed. It clarified that all-cause mortality and cardiovascular mortality were higher with febuxostat treatment than with allopurinol treatment in gout patients with cardiovascular disease. However, it remains to be elucidated whether the mortality results of the CARES trial are due to beneficial effects of allopurinol or deleterious effects of febuxostat. In the present randomized controlled trial, Febuxostat for Cerebral and CaRdiorenovascular Events PrEvEntion StuDy (FREED), we aimed to compare the occurrence of cerebral, cardiovascular, and renal events in elderly patients with hyperuricaemia at risk for cerebral or cardiorenovascular disease treated with febuxostat and those treated with conventional therapy with lifestyle modification.

Methods

Study design

The study design and rationale have been reported previously. Briefly, this study was a multicentre, prospective, randomized open-label, blinded endpoint, two-arm parallel treatment groups study conducted as an investigator-initiated study in accordance with the principles of the Declaration of Helsinki and the Ethical Guidelines for Clinical Studies issued by the Ministry of Health, Labour and Welfare in Japan. This study protocol was reviewed by the central institutional review board prior to approval by the institutional review board of each participating study site, and all of the patients registered to this study gave written informed consent. A steering committee created the protocol of the FREED study, observed the progress and made decisions about the management of the study. The members of the Independent Data Monitoring Committee and Events Evaluation Committee, who were unaware of the treatment assignments, objectively assessed the safety and adjudicated all suspected endpoint events. This study was funded by a grant from Teijin Pharma Limited that was paid to the Kumamoto Circulation Society according to a support contract, but the sponsor had no involvement in the planning, implementation, analysis, or interpretation of study results. This study was registered at ClinicalTrials.gov (identification number NCT01984749).

Study population

Elderly patients aged 65 years or older with hyperuricaemia (serum uric acid >7.0 to ≤9.0 mg/dL) who had one or more risks for cerebral, cardiovascular, or renal disease were enrolled in this study before randomization (detailed inclusion and exclusion criteria are provided in Supplementary material online, ). Established risks for cerebral, cardiovascular, or renal disease were defined as a history of or active hypertension, a history of or active Type 2 diabetes mellitus, renal disease (eGFR ≥30 to <60 mL/min/1.73 m2 within 3 months prior to enrolment), and a history of cerebral or cardiovascular disease occurring >3 months prior to enrolment. The patients enrolled were followed up for 36 months. All participants provided written informed consent.

Randomization, dose adjustment, and procedure

Patients were randomly assigned in a 1:1 ratio to either febuxostat or non-febuxostat group. Randomization was stratified in accordance with sex, serum uric acid (<7.5 or ≥7.5 mg/dL), Type 2 diabetes mellitus, cerebrovascular or cardiovascular disease, eGFR (<45 or ≥45 mL/min/1.73 m2), and each institution. The treatment protocol of the study is shown in Supplementary material online, . Outpatient visits were scheduled at screening, at enrolment, at randomization, at 4, 8, 12, 24 weeks after randomization and every 6 months during subsequent years of the study. In the febuxostat group, the investigators prescribed the febuxostat preparation (Feburic® tablets; Teijin Pharma Limited, Tokyo, Japan). Febuxostat has been orally administered once daily during the 36-month study period starting from the time of enrolment. Dose increase was performed as follows: (i) the starting febuxostat dose was 10 mg/day; (ii) at week 4, the dose was increased to 20 mg/day; (iii) at week 8, the dose was increased to the target dose of 40 mg/day. In the non-febuxostat group, administration of 100 mg of oral allopurinol was considered if serum uric acid was elevated during the study period starting from the time of enrolment. The dose of both febuxostat and allopurinol was adjusted to prevent serum uric acid from decreasing to <2.0 mg/dL. Additionally, all patients underwent lifestyle modification for the management of hyperuricaemia. Serial proportion of patients with serum uric acid level <6.0 mg/dL and serum uric acid at endpoint were assessed. Regarding concomitant therapies during the study period, concurrent diseases and adverse events were appropriately treated at the discretion of the physicians in charge of this study. Therapies that already started at the time of enrolment in this study were continued during the study period without any change as much as possible. The following medications were not started or discontinued and their dosage was not changed as much as possible: antiplatelet agents, antihypertensive agents, antidiabetic agents, and antidyslipidaemic agents. Data on concomitant therapies were collected from the time of enrolment until study completion or withdrawal from the study.

Study endpoint

Fatal and non-fatal cerebral, cardiovascular and renal events, and death other than cerebral or cardiorenal vascular disease during the study period were defined as the primary composite endpoint in the study, which consisted of the following: (i) death due to cerebral, cardiovascular, or renal disease; (ii) new or recurring cerebrovascular disease [stroke (cerebral haemorrhage, cerebral infarction, subarachnoid haemorrhage, stroke of unknown type), transient ischaemic attack]; (iii) new or recurring non-fatal coronary artery disease (myocardial infarction, unstable angina); (iv) cardiac failure requiring hospitalization; (v) arteriosclerotic disease requiring treatment (aortic aneurysm, aortic dissection, and arteriosclerosis obliterans); (vi) renal impairment [development of microalbuminuria (≥30 to <300 mg/g⋅creatinine (Cr))/mild proteinuria (≥0.15 to <0.50 g/g⋅Cr), progression to overt albuminuria (≥300 mg/g⋅Cr)/severe proteinuria (≥0.50 g/g⋅Cr), or worsening of overt albuminuria confirmed by two consecutive laboratory tests performed after the initiation of study treatment; doubling of serum Cr level; progression to end-stage renal disease]; (vii) new atrial fibrillation (including paroxysmal atrial fibrillation); (viii) death due to other cause (Supplementary material online, ). The secondary endpoint consisted of each component of cerebral, cardiovascular, and renal vascular events, and a hard endpoint was defined as a composite of death due to any cause, cerebrovascular disease or non-fatal coronary artery disease. Estimated glomerular filtration rate slopes per year were compared between the febuxostat and non-febuxostat groups. The relationship between serum uric acid at 12 weeks after randomization and primary composite endpoint was also assessed. The following parameters were assessed as the exploratory endpoint: (i) absolute values and changes in high-sensitivity C-reactive protein (hs-CRP), N-terminal pro-brain natriuretic peptide (NT-proBNP), and haemoglobin A1c (HbA1c); (ii) occurrence of malignant tumours; (iii) occurrence of venous thrombosis requiring treatment.

Statistical analysis

Approximately 500 patients were in each group to detect a difference in the occurrence of the primary composite endpoint between two groups, with 80% power at a two-sided 5% significant level. Data were analysed using the intention-to-treat (ITT) population and expressed as mean ± standard deviation and percentage unless otherwise stated. Continuous variables that did not show a normal distribution are expressed as medians (25th to 75th percentile ranges). A safety analysis was also performed in the ITT population. The repeated-measure analysis of variance was used to compare the time course difference of uric acid levels between the two groups. The time from randomization to occurrence of any cerebral, cardiovascular, and renal events or all deaths was analysed. The Kaplan–Meier method was used to estimate the event rate based on the time of onset of the events and Greenwood’s method was used to calculate the two-sided 95% confidence interval (CI). Intergroup comparisons were performed using the Cox proportional hazards model including stratification factors for randomization as a covariate. Secondary endpoints were analysed using Fine and Gray’s subdistribution hazard model. The eGFR slope of each patient was calculated from a regression line of a series of eGFR values. Between-group difference of eGFR slopes and its 95% CI were calculated and examined by Wilcoxon rank sum test. The statistical significance level was set at P < 0.05. Statistical analysis was performed with SAS version 9.4 (SAS Institute, Cary, NC, USA) by persons in charge of statistical analysis, as instructed by the responsible biostatistician. The Independent Data Monitoring Committee had the responsibility to decide the continuation of this study in accordance with the assessment of the results of the interim analysis scheduled in advance.

Results

Study patients

A total of 1184 patients (men and women) from 141 institutions throughout Japan from November 2013 to October 2014 were enrolled; 100 who declined to participate were subsequently excluded. Residual 1084 patients were randomly assigned, but 14 patients were excluded from the randomized population as a result of consent withdrawal (seven patients), inclusion ineligibility or exclusion criteria (five patients), loss at follow-up (one patient), and investigator’s discretion (one patient) prior to data collection at baseline. Thus, 1070 patients were included in the ITT population, with 537 assigned to the febuxostat group and 533 assigned to the non-febuxostat group (Figure ). Baseline patient characteristics were well balanced between the two groups (Table  and Supplementary material online, ). The maximum dose during the study period and the dose at endpoint (withdrawal or completion of the study) of the febuxostat group are shown in Supplementary material online, . The mean febuxostat dose per day was 29.1 ± 12.3 mg at endpoint, and 67.4% of the patients received 40 mg in the febuxostat group, whereas 27.2% of the patients received 100 mg allopurinol in the non-febuxostat group (Figure ). Supplementary material online, shows the serum uric acid level at the initiation of allopurinol administration (mean ± standard deviation 8.18 ± 1.05 mg/dL). Baseline characteristics of the study patients Values are presented as n (%), mean ± standard deviation, or median (25th–75th percentile ranges). Cr, creatinine; eGFR, estimated glomerular filtration rate; HDL, high-density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; LDL, low-density lipoprotein; NT-proBNP, N-terminal pro-brain natriuretic peptide. Renal disease defined as eGFR <60 mL/min/1.73 m2. Patient distribution. CCVR, cerebral, cardiovascular and renal; SUA, serum uric acid. The median follow-up duration (from randomization to endpoint of the study) in the febuxostat and non-febuxostat groups was 35.5 and 35.1 months, respectively. The overall withdraw ratio for reasons other than the primary composite endpoint during the study was 17.0% (16.8% in the febuxostat group and 17.3% in the non-febuxostat group). Patient reason and agreement withdrawal was 9.3% and 8.5%, respectively. There were no patients with continuous levels of serum uric acid >11.0 mg/dL in either group (Figure ).

Serum uric acid

Changes in mean serum uric acid level during the study are shown in Figure . Serum uric acid levels were comparable at baseline between the febuxostat and non-febuxostat groups. However, the levels continued to be significantly lower in the febuxostat group than in the non-febuxostat group after randomization (P < 0.001). At endpoint, the serum uric acid level in the febuxostat group was significantly lower than that in the non-febuxostat group (4.50 ± 1.52 vs. 6.76 ± 1.45 mg/dL, P < 0.001). Serial changes in serum uric acid level in the febuxostat and non-febuxostat groups. Analysis of variance and Holm method as a post hoc analysis were used. Closed circle, febuxostat group; open circle, non-febuxostat group. Values are presented as mean ± standard deviation. *P < 0.001 (Holm method). The proportion of patients with serum uric acid levels <6.0 mg/dL are shown in Supplementary material online, . More than 85% of the patients in the febuxostat group achieved uric acid levels <6.0 mg/dL within 12 weeks, whereas less than 30% of the patients in the non-febuxostat group achieved uric acid levels <6.0 mg/dL at endpoint (Supplementary material online, ).

Primary endpoint

During the study period, the primary composite endpoint was observed in 125 patients (23.3%) in the febuxostat group and in 153 patients (28.7%) in the non-febuxostat group (Table ). The Kaplan–Meier curves for the primary composite endpoint are shown in . There was significant difference in the primary composite endpoint between the two groups after adjustment with stratification factors for randomization. Hazard ratio and 95% CIs for component of the primary and secondary endpoints Values are presented as n (%). CI, confidence interval. The 95% confidence interval and adjusted hazard ratios for the primary composite event. *P-value less than 5% indicates significant heterogeneity of hazard ratios between the two groups. CI, confidence interval; Cr, creatinine; hs-CRP, high-sensitivity C-reactive protein; NT-proBNP, N-terminal pro-brain natriuretic peptide.

Secondary endpoint

In the individual component of the primary composite endpoint, the most frequent event was renal impairment (Table ). Amongst renal impairment, the development of microalbuminuria or mild proteinuria was common in the febuxostat and non-febuxostat groups (Supplementary material online, ). Regarding a hard endpoint, there was a no significant difference between the groups (Table  and Supplementary material online, ). The hazard risk of the primary endpoint in each prespecified subgroup by baseline variables is shown in Figure . Significant heterogeneity for possible interactions between febuxostat treatment and baseline variable was not observed in subgroup. Supplementary material online, shows the serial changes in eGFR during the study period. Estimated glomerular filtration rate slopes per year revealed no significant difference in the mean eGFR slope between the febuxostat and non-febuxostat groups [−0.37 (−2.32 to 1.44) vs. −0.69 (−2.63 to 1.39) mL/min/1.73 m2, P = 0.606]. No significant relationship was observed between serum uric acid at 12 weeks after randomization and primary composite endpoint (n = 980, P = 0.121) (Supplementary material online, ). However, serum uric acid level >7 mg/dL was a strong risk factor compared with >5 to ≤6 mg/dL after adjustment with stratification factors for randomization (Supplementary material online, ). The Kaplan–Meier curves for the primary composite event. Black line, febuxostat group; red line, non-febuxostat group.

Exploratory endpoint

The hs-CRP and NT-proBNP levels at each measured point and at endpoint were comparable between febuxostat and non-febuxostat groups. However, the HbA1c levels at 30 months (P = 0.024), 36 months (P = 0.021) and at endpoint (P = 0.035) were significantly lower in the febuxostat group than in the non-febuxostat group (Supplementary material online, ). The occurrence of malignant tumours in the febuxostat [n = 21 (3.9%)] and non-febuxostat groups [n = 25 (4.7%)] was comparable (P = 0.529). Venous thrombosis requiring treatment was not observed in either group, but the development of gout flares was lesser in the febuxostat group [n = 6 (1.1%)] than in the non-febuxostat group [n = 14 (2.6%), P = 0.069) during the study period.

Discussion

The present FREED study demonstrated that febuxostat significantly decreased serum uric acid levels, and its effect was associated with reduction of cerebral, cardiovascular, and renal events as the primary composite endpoint in patients aged 65 years or older with hyperuricaemia compared with conventional therapy with lifestyle modification. In a primary composite endpoint, renal events were clearly reduced by febuxostat treatment. Our results are consistent with and expanded those of previous studies., The FREED study showed a large difference in the lowering of the uric acid level in the febuxostat and non-febuxostat (conventional therapy) groups. Oxidative stress generated by the metabolic converting step from xanthine to uric acid may enhance the progression of atherosclerosis through induction of endothelial injury., Thus, it is a reasonable therapy for hyperuricaemia to control serum uric acid level with strong uric acid-lowering effect of XOI, which may lead to better cardiovascular outcomes. In the CARES trial, all-cause mortality and cardiovascular mortality were higher with febuxostat than those with allopurinol, but these two XOIs yielded similar result with respect to rates of adverse cerebral and cardiovascular events. The FREED study demonstrated that lowering of uric acid with febuxostat may contribute to better prognosis than conventional therapy in our primary composite outcome, although fatal and non-fatal cerebral and cardiovascular events were similar. Differences in these results can be attributed to the presence of gout. For example, in the CARES trial, there was an interaction between febuxostat and allopurinol groups in terms of non-steroidal anti-inflammatory drugs use and absence of low-dose aspirin use, which could lead to increased cardiovascular events. Moreover, approximately half of the patients discontinued treatment during the trial. According to Choi et al., the use of non-XOI or placebo group is needed to determine whether the results of the CARES trial were due to the beneficial effects of allopurinol or the deleterious effects of febuxostat. Since it is unethical to compare the treatment with XOI with placebo, our findings might address this question, but our results do not solve this problem directly. In our comparison of the use of febuxostat and conventional therapy with allopurinol 100 mg as low as 27% of the patients, we had a low number of patient dropouts. Our results showed that major cerebrocardiovascular events and mortality were similar between the febuxostat and non-febuxostat groups. The FEATHER study did not find an increased number of cardiovascular events with febuxostat in comparison to placebo, which can lead to the conclusion that, in the CARES trial, allopurinol may have a beneficial impact on mortality rather than febuxostat having deleterious effects. There was a large difference in the incidence of renal impairment, assessed by the development of albuminuria or proteinuria, which would lead to the progression of CKD. Patients with CKD have increased morbidity and mortality as a result of cardiovascular events. Therefore, albuminuria is not only a risk factor for adverse cardiovascular outcomes but may also be a therapeutic target or an indicator of therapeutic response., Febuxostat decreased the exacerbation of albuminuria or proteinuria in the FREED study, and it has been suggested that febuxostat has better renoprotective effect than allopurinol. However, febuxostat could not improve the serial change of eGFR, similar to the result of the FEATHER study. Compared with the renal protection from XOIs, febuxostat may not aggravate kidney function, but no cardiovascular protection may be expected. Based on the results of the CARES trial, the FEATHER study and the present study, treatment with febuxostat did not reduce major cerebrocardiovascular events. Febuxostat decreased the development of gout attacks in the present study. However, no significant reduction in hs-CRP was demonstrated in the febuxostat group compared with the non-febuxostat group during the study period. Secondary explanatory analysis of the CANTOS trial, showing a reduction of inflammation and a lower rate of recurrent cardiovascular events, recently disclosed that canakinumab administration was associated with reduced risk for gout attacks without any change in serum uric acid levels. Hybrid treatment with febuxostat and inhibitors of interleukin-1β may be useful not only in preventing gout attacks but also in yielding cerebral, cardiovascular, and renal benefits. Our study should be interpreted with caution. First, we included patients with asymptomatic hyperuricaemia without gout, which was different from previous studies, including the CARES trial. Although comparison of our results with those of previous studies would be difficult, our findings are an important for hyperuricaemic patients without gout in the primary care setting. Second, our sample size was limited, and we employed not only hard endpoints but also relatively soft endpoints, such as development of albuminuria/proteinuria. Additionally, observation period was relatively short. However, the deterioration of renal function as a part of our primary composite outcome is an important marker for CKD, because the prevalence of patients with CKD was predicted as 13% of the Japanese adult population. Our findings have possible important applications in the preventive therapy of asymptomatic hyperuricaemic patients with high renal risk. High serum uric acid level has a clear relationship with development of renal disease., Febuxostat was also reported to be more suitable than allopurinol for patients with moderate to severe renal dysfunction. These findings, as well as the result of our study, shows that evaluation of soft endpoints may be clinically important for patients with hyperuricaemia treated with febuxostat. In conclusion, febuxostat lowers uric acid and delays the progression of renal dysfunction. Click here for additional data file.
Table 1

Baseline characteristics of the study patients

Total (n = 1070)Febuxostat group (n = 537)Non-febuxostat group (n = 533) P-value (febuxostat vs. non-febuxostat)
Male739 (69.1)371 (69.1)368 (69.0)1.000
Age (years)75.7 ± 6.675.4 ± 6.776.0 ± 6.50.137
Body mass index (kg/m2)24.67 ± 3.6824.74 ± 3.7124.61 ± 3.650.325
Haemoglobin (g/dL)13.51 ± 1.6313.55 ± 1.6013.46 ± 1.650.424
Total protein (g/dL)7.20 ± 0.467.20 ± 0.457.19 ± 0.460.928
Total bilirubin (mg/dL)0.60 ± 0.280.62 ± 0.300.59 ± 0.280.299
Hypertension1007 (94.1)506 (94.2)501 (94.0)0.897
Systolic blood pressure (mmHg)132.6 ± 14.4132.9 ± 14.8132.3 ± 14.00.426
Diastolic blood pressure (mmHg)73.5 ± 10.273.5 ± 10.273.6 ± 10.20.716
Type 2 diabetes396 (37.0)197 (36.7)199 (37.3)0.849
Haemoglobin A1c (%)5.87 ± 0.625.87 ± 0.635.87 ± 0.600.815
Hyperlipidaemia622 (58.1)317 (59.0)305 (57.2)0.577
LDL cholesterol (mg/dL)107.3 ± 29.7108.3 ± 31.2106.3 ± 28.10.421
HDL cholesterol (mg/dL)54.3 ± 14.954.2 ± 14.954.4 ± 15.00.812
Triglyceride (mg/dL)137.0 (96.0–191.0)135.0 (96.0–193.5)138.0 (94.0–189.0)0.757
Renal diseasea707 (66.1)357 (66.5)350 (65.7)0.796
eGFR (mL/min/1.73 m2)54.98 ± 14.6454.62 ± 14.1155.35 ± 15.160.608
Alcohol habit477 (44.6)239 (44.5)238 (44.7)1.000
Active smoking461 (43.1)222 (41.3)239 (44.8)0.267
Coronary artery disease90 (8.4)45 (8.4)45 (8.4)1.000
Chronic heart failure74 (6.9)41 (7.6)33 (6.2)0.393
Stroke86 (8.0)39 (7.3)47 (8.8)0.370
Vascular disease25 (2.3)9 (1.7)16 (3.0)0.162
Malignant tumour32 (3.0)15 (2.8)17 (3.2)0.724
hs-CRP (mg/dL)0.080 (0.040–0.170)0.082 (0.040–0.172)0.078 (0.039–0.167)0.520
NT-proBNP (pg/mL)119.0 (59.0–264.0)114.0 (58.0–268.0)124.0 (62.0–263.0)0.328
Serum uric acid (mg/dL)7.52 ± 1.057.54 ± 1.067.50 ± 1.030.324
Urinary albumin (mg/g⋅Cr)17.8 (7.8–64.3)17.4 (7.5–54.8)19.5 (8.3–67.45)0.278
Urinary protein (g/g⋅Cr)0.084 (0.044–0.165)0.082 (0.043–0.163)0.086 (0.044–0.170)0.558

Values are presented as n (%), mean ± standard deviation, or median (25th–75th percentile ranges).

Cr, creatinine; eGFR, estimated glomerular filtration rate; HDL, high-density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; LDL, low-density lipoprotein; NT-proBNP, N-terminal pro-brain natriuretic peptide.

Renal disease defined as eGFR <60 mL/min/1.73 m2.

Table 2

Hazard ratio and 95% CIs for component of the primary and secondary endpoints

Febuxostat group (n = 537)Non-febuxostat group (n = 533)Hazard ratio (95% confidence interval) P-value
Primary endpoint
 Composite of death due to any cause, cerebrovascular disease, non-fatal coronary artery disease, heart failure requiring hospitalization, arteriosclerotic disease requiring treatment, renal impairment, and atrial fibrillation125 (23.3)153 (28.7)0.750 (0.592–0.950)0.017
Secondary endpoints
 Death due to cerebral, cardiovascular, or renal disease6 (1.1)6 (1.1)0.958 (0.314–2.926)0.940
 Cerebrovascular disease9 (1.7)7 (1.3)1.271 (0.479–3.371)0.630
 Non-fatal coronary artery disease4 (0.7)7 (1.3)0.559 (0.167–1.869)0.345
 Heart failure requiring hospitalization9 (1.7)12 (2.3)0.699 (0.290–1.689)0.427
 Arteriosclerotic disease requiring treatment2 (0.4)3 (0.6)0.644 (0.107–3.873)0.631
 Renal impairment87 (16.2)109 (20.5)0.745 (0.562–0.987)0.041
 Atrial fibrillation4 (0.7)3 (0.6)1.320 (0.292–5.968)0.719
 Death due to other causes4 (0.7)6 (1.1)0.635 (0.179–2.253)0.482
 Hard endpoint: composite of death due to any cause, cerebrovascular disease, or non-fatal coronary artery disease23 (4.3)26 (4.9)0.861 (0.492–1.506)0.600

Values are presented as n (%).

CI, confidence interval.

  29 in total

Review 1.  Role of uric acid in hypertension, renal disease, and metabolic syndrome.

Authors:  Marcelo Heinig; Richard J Johnson
Journal:  Cleve Clin J Med       Date:  2006-12       Impact factor: 2.321

2.  Prognostic usefulness of serum uric acid after acute myocardial infarction (the Japanese Acute Coronary Syndrome Study).

Authors:  Sunao Kojima; Tomohiro Sakamoto; Masaharu Ishihara; Kazuo Kimura; Shunichi Miyazaki; Masakazu Yamagishi; Chuwa Tei; Hisatoyo Hiraoka; Masahiro Sonoda; Kazufumi Tsuchihashi; Nobuo Shimoyama; Takashi Honda; Yasuhiro Ogata; Kunihiko Matsui; Hisao Ogawa
Journal:  Am J Cardiol       Date:  2005-08-15       Impact factor: 2.778

Review 3.  Inflammation, oxidative stress and lipids: the risk triad for atherosclerosis in gout.

Authors:  Eswar Krishnan
Journal:  Rheumatology (Oxford)       Date:  2010-03-03       Impact factor: 7.580

Review 4.  Hyperuricemia and coronary heart disease: a systematic review and meta-analysis.

Authors:  Seo Young Kim; James P Guevara; Kyoung Mi Kim; Hyon K Choi; Daniel F Heitjan; Daniel A Albert
Journal:  Arthritis Care Res (Hoboken)       Date:  2010-02       Impact factor: 4.794

5.  Selectivity of febuxostat, a novel non-purine inhibitor of xanthine oxidase/xanthine dehydrogenase.

Authors:  Yasuhiro Takano; Kumiko Hase-Aoki; Hideki Horiuchi; Lin Zhao; Yoshinori Kasahara; Shiro Kondo; Michael A Becker
Journal:  Life Sci       Date:  2005-01-18       Impact factor: 5.037

6.  Prevalence of chronic kidney disease in the Japanese general population.

Authors:  Enyu Imai; Masaru Horio; Tsuyoshi Watanabe; Kunitoshi Iseki; Kunihiro Yamagata; Shigeko Hara; Nobuyuki Ura; Yutaka Kiyohara; Toshiki Moriyama; Yasuhiro Ando; Shoichi Fujimoto; Tsuneo Konta; Hitoshi Yokoyama; Hirofumi Makino; Akira Hishida; Seiichi Matsuo
Journal:  Clin Exp Nephrol       Date:  2009-06-11       Impact factor: 2.801

7.  Effect of urate-lowering therapy on the velocity of size reduction of tophi in chronic gout.

Authors:  Fernando Perez-Ruiz; Marcelo Calabozo; Jose I Pijoan; Ana M Herrero-Beites; Ana Ruibal
Journal:  Arthritis Rheum       Date:  2002-08

8.  Elevated uric acid increases the risk for kidney disease.

Authors:  Rudolf P Obermayr; Christian Temml; Georg Gutjahr; Maarten Knechtelsdorfer; Rainer Oberbauer; Renate Klauser-Braun
Journal:  J Am Soc Nephrol       Date:  2008-09-17       Impact factor: 10.121

9.  Uric acid and incident kidney disease in the community.

Authors:  Daniel E Weiner; Hocine Tighiouart; Essam F Elsayed; John L Griffith; Deeb N Salem; Andrew S Levey
Journal:  J Am Soc Nephrol       Date:  2008-03-12       Impact factor: 10.121

10.  Albuminuria, a therapeutic target for cardiovascular protection in type 2 diabetic patients with nephropathy.

Authors:  Dick de Zeeuw; Giuseppe Remuzzi; Hans-Henrik Parving; William F Keane; Zhongxin Zhang; Shahnaz Shahinfar; Steve Snapinn; Mark E Cooper; William E Mitch; Barry M Brenner
Journal:  Circulation       Date:  2004-08-09       Impact factor: 29.690

View more
  40 in total

1.  Efficacy of febuxostat versus allopurinol and the predictors of achieving target serum urate in a cohort of Thai people with gout.

Authors:  Ratchaya Lertnawapan; Kanon Jatuworapruk
Journal:  Clin Rheumatol       Date:  2020-06-30       Impact factor: 2.980

2.  Xanthine oxidase inhibitor ameliorates postischemic renal injury in mice by promoting resynthesis of adenine nucleotides.

Authors:  Kentaro Fujii; Akiko Kubo; Kazutoshi Miyashita; Masaaki Sato; Aika Hagiwara; Hiroyuki Inoue; Masaki Ryuzaki; Masanori Tamaki; Takako Hishiki; Noriyo Hayakawa; Yasuaki Kabe; Hiroshi Itoh; Makoto Suematsu
Journal:  JCI Insight       Date:  2019-11-14

3.  Differential effect of a xanthine oxidase inhibitor on arterial stiffness and carotid atherosclerosis: a subanalysis of the PRIZE study.

Authors:  Kazuki Shiina; Hirofumi Tomiyama; Atsushi Tanaka; Hisako Yoshida; Kazuo Eguchi; Kazuomi Kario; Toru Kato; Hiroki Teragawa; Shigeru Toyoda; Mitsuru Ohishi; Yoshihiro Fukumoto; Bonpei Takase; Tomoko Ishizu; Koichi Node
Journal:  Hypertens Res       Date:  2022-02-15       Impact factor: 3.872

Review 4.  Hyperuricemia and Risk of Cardiovascular Outcomes: The Experience of the URRAH (Uric Acid Right for Heart Health) Project.

Authors:  Alessandro Maloberti; C Giannattasio; M Bombelli; G Desideri; A F G Cicero; M L Muiesan; E A Rosei; M Salvetti; A Ungar; G Rivasi; R Pontremoli; F Viazzi; R Facchetti; C Ferri; B Bernardino; F Galletti; L D'Elia; P Palatini; E Casiglia; V Tikhonoff; C M Barbagallo; P Verdecchia; S Masi; F Mallamaci; M Cirillo; M Rattazzi; P Pauletto; P Cirillo; L Gesualdo; A Mazza; M Volpe; G Tocci; G Iaccarino; P Nazzaro; L Lippa; G Parati; R Dell'Oro; F Quarti-Trevano; G Grassi; A Virdis; C Borghi
Journal:  High Blood Press Cardiovasc Prev       Date:  2020-03-10

5.  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 6.  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

7.  Xanthine Oxidoreductase Inhibitors.

Authors:  Keeran Vickneson; Jacob George
Journal:  Handb Exp Pharmacol       Date:  2021

Review 8.  Impact of hyperuricemia on chronic kidney disease and atherosclerotic cardiovascular disease.

Authors:  Hitoshi Nishizawa; Norikazu Maeda; Iichiro Shimomura
Journal:  Hypertens Res       Date:  2022-01-19       Impact factor: 3.872

9.  The importance of including uric acid in the definition of metabolic syndrome when assessing the mortality risk.

Authors:  Nicola Riccardo Pugliese; Alessandro Mengozzi; Stefano Masi; Claudio Borghi; Agostino Virdis; Edoardo Casiglia; Valerie Tikhonoff; Arrigo F G Cicero; Andrea Ungar; Giulia Rivasi; Massimo Salvetti; Carlo M Barbagallo; Michele Bombelli; Raffaella Dell'Oro; Berardino Bruno; Luciano Lippa; Lanfranco D'Elia; Paolo Verdecchia; Francesca Mallamaci; Massimo Cirillo; Marcello Rattazzi; Pietro Cirillo; Loreto Gesualdo; Alberto Mazza; Cristina Giannattasio; Alessandro Maloberti; Massimo Volpe; Giuliano Tocci; Georgios Georgiopoulos; Guido Iaccarino; Pietro Nazzaro; Gianfranco Parati; Paolo Palatini; Ferruccio Galletti; Claudio Ferri; Giovambattista Desideri; Francesca Viazzi; Roberto Pontremoli; Maria Lorenza Muiesan; Guido Grassi
Journal:  Clin Res Cardiol       Date:  2021-02-18       Impact factor: 5.460

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.