Skip to main content

Effect of pegloticase on renal function in patients with chronic kidney disease: a post hoc subgroup analysis of 2 randomized, placebo-controlled, phase 3 clinical trials



Pegloticase is approved in the US for treatment of refractory chronic gout. Since chronic kidney disease (CKD) is common in these patients, we conducted a post-hoc analysis of 2 replicate phase 3 trials and the subsequent open-label extension study to determine the effects of pegloticase on renal function in patients with CKD stages 3 and 4, as well as the effects of renal dysfunction on pegloticase efficacy and safety.


Patients with renal insufficiency were randomized to pegloticase 8 mg every 2 weeks (n = 42), pegloticase 8 mg every 4 weeks (n = 41), or placebo (n = 20) for 6 months as defined by the study protocols. Renal function was assessed by estimated glomerular filtration rate (eGFR). All patients completing the randomized trials could participate in an open-label extension study for a further 2.5 years. Uric acid response, the primary end point in the trials, was plasma uric acid <6.0 mg/dl for 80% of months 3 and 6.

Mean eGFR in both pegloticase dosing cohorts remained constant over the randomized treatment phase and long-term open-label extension study. The number of patients achieving uric acid response was similar across CKD stages (32% stage 1, 23% stage 2, 35% stage 3, and 39% stage 4, respectively, P = 0.3). There was no difference in the pegloticase safety profile based on CKD stage.


Pegloticase treatment does not impact eGFR in CKD patients and response to pegloticase is independent of CKD stage.

Trial registration

Clinical trial identifier: NCT00325195



Pegloticase is a novel recombinant, mammalian uricase covalently linked to monomethoxypolyethylene glycol, and is approved in the United States for treatment of refractory chronic gout (RCG) [14]. Pegylation enables the conjugate to have a prolonged elimination half-life of up to 14 days following intravenous infusion [4]. Pegloticase rapidly degrades plasma urate to allantoin, a more soluble compound that is easily excreted by the kidneys [24]. Due to the low plasma urate level, extravascular urate moves into the plasma compartment down its concentration gradient where it is available for degradation by pegloticase. Among patients who respond to therapy, this process is believed to engender urate crystal dissolution within soft tissue and peri-articular structures, with eventual normalization of body urate stores, and resolution of RCG signs and symptoms [36].

The prevalence of gout is highest in individuals >60 years of age [7], who also often have chronic kidney disease (CKD) [8, 9]. Indeed, results of a recent retrospective database analysis indicated that a large proportion (approximately 40%) of patients with gout had CKD [10]. While gout and CKD are likely comorbidities with a shared etiology, causative mechanistic factors have yet to be elucidated. It is known, however, that CKD is an independent risk factor for chronic gout [11, 12] and, vice versa, that hyperuricemia and gout are risk factors for CKD [1318]. From a clinical practice perspective, CKD limits the use of some urate-lowering therapies and complicates symptomatic treatment with nonsteroidal anti-inflammatory drugs and colchicine [19], although colchicine remains a viable treatment option for acute gout providing dosage reductions are made for moderate-to-severe renal impairment [20, 21].

We conducted a post-hoc subgroup analysis to determine the effects, if any, of pegloticase on renal function in patients with CKD stages 3 and 4 (estimated glomerular filtration rate [eGFR], 30–59 ml/min/1.73 m2 and 15–29 ml/min/1.73 m2, respectively [9]). Conversely, we also evaluated the effects renal dysfunction may have on pegloticase efficacy and safety.


Summary of study design and entry criteria

Data were retrospectively analyzed from 2 randomized, placebo-controlled, replicate phase 3 clinical trials (n = 212) of pegloticase use over 6 months in patients with RCG to determine the effects of pegloticase on renal function. A total of 49% of patients from the randomized controlled trials (RCTs) met the criteria for stages 3 and 4 CKD [9]. Since the designs of the phase 3 trials were identical, data were pooled to enable an integrated comparison of the treatment regimens. The effect of long-term pegloticase treatment on renal function was evaluated using data from patients with CKD from the RCTs who entered the open-label extension (OLE) study.

The full methodology of the 2 randomized, double-blind, multicenter, placebo-controlled trials (C0405 and C0406; NCT00325195) has been published previously [6]. Briefly, patients were ≥18 years of age and had RCG based on a baseline serum uric acid of ≥8.0 mg/dl and ≥1 of the following: ≥3 self-reported gout flares during the previous 18 months; ≥1 tophi; and gouty arthropathy (defined clinically or radiographically as joint damage caused by gout). Patients also had contraindication to treatment with allopurinol or history of failure to normalize uric acid despite ≥3 months of treatment with the maximum medically appropriate allopurinol dose [6]. Patients receiving dialysis were excluded. Both studies were conducted in accordance with the ethical principles of the Declaration of Helsinki and received institutional review board approval at each site (local) or by a central institutional review board (IntegReview, Austin, Texas). All patients gave written, informed consent [6].

Treatment regimens

Patients in the RCTs were assigned in a 2:2:1 ratio to receive intravenous infusions of pegloticase 8 mg every 2 weeks, pegloticase 8 mg every 4 weeks (alternating with placebo to maintain blinding), or placebo for 24 weeks. After completing the study, subjects were given the option of continuing active treatment for up to 2.5 years through a follow-on OLE study. Dose adjustment was permitted twice during the OLE study.

Renal function

The primary end point in this post-hoc analysis was the impact of up to 6 months of pegloticase on renal function in patients with CKD stages 3 and 4, as defined by the National Kidney Foundation Kidney Disease Outcomes Quality Initiative [9]. Renal function was assessed by eGFR using the 4-variable Modification of Diet in Renal Disease (MDRD) formula: eGFR (ml/min/1.73 m2) = 186 × (SCr)-1.154 × (age)-0.203 × (0.742 if female) × (1.212 if black/African American), where SCr is serum creatinine in mg/dl and age in years [22]. eGFR was calculated at screening (week 0) and at protocol-defined time points (weeks 7, 13, 19, and 25 post-randomization). For patients who participated in the OLE study, eGFR was calculated at weeks 13, 25, 37, 53, 65, 77, 89, and 101 following start of treatment in the OLE treatment phase. CKD stage was based solely on the eGFR calculation.

Absolute and relative changes from baseline (screening) in eGFR were calculated as follows:

  1. (1)

    Absolute change = minimum eGFR post-screening – screening eGFR.

  2. (2)

    Percent change = 100 × (minimum eGFR post-screening – screening eGFR)/screening eGFR.

  3. (3)

    Percent change in eGFR was further categorized as follows: Category 1, no change (Δ) or improvement; Category 2, 0 < Δ ≤ 10%; Category 3, 10 < Δ ≤ 20%; Category 4, 20 < Δ ≤ 30%; Category 5, 30 < Δ ≤ 40%; Category 6, 40 < Δ ≤ 50%; and Category 7, Δ > 50%.


Uric acid response was the primary end point in the pegloticase phase 3 trials. A responder was defined as a patient with plasma uric acid level <6.0 mg/dl for 80% of the time during months 3 and 6 combined.

Analysis population

Clinical outcomes were assessed in the modified intention-to-treat population (mITT), defined as all patients with RCG who received ≥1 infusion of study medication.

Statistical analysis

Continuous data are presented as the mean ± standard deviation (SD) or median and range, and categorical data as counts and percentages. A linear mixed effects (random intercept) model was used to analyze longitudinal measures of eGFR assuming an unstructured covariance matrix for the random intercept effect [23].

Treatment (i.e., pegloticase every 2 weeks and every 4 weeks versus placebo), visit (week), treatment × visit, age (years), sex (female versus male) and race/ethnicity (black/African American, Hispanic/Latino and other versus white) were included as fixed effects, while subject was included as a random effect. Two-way interactions of treatment with age, sex, and race/ethnicity were tested to evaluate whether the overall impact of treatment was differentially affected by age, sex, or race/ethnicity. Absolute and percentage change in eGFR was compared between groups using general linear model adjusted for age, sex, race/ethnicity, and responder status.


Study populations

Baseline eGFR and CKD data for the full population of the RCTs is shown in Table 1. Among these patients, 103 (49%) had CKD stage 3 (n = 80) or 4 (n = 23); no patients had CKD stage 5 by protocol exclusion. Forty-two of 103 patients (41%) received pegloticase 8 mg every 2 weeks, 41 patients (40%) received pegloticase 8 mg every 4 weeks, and 20 patients (19%) received placebo.

Table 1 CKD stage definition and summary overall and by randomized treatment group per clinical trial*

Baseline characteristics were comparable across the CKD stage 3 and 4 cohort for each of the 3 study arms. For the full CKD stage 3/4 cohort, mean age was 61.7 years, 71% were men, 67% were white, and 18% were black or African American. Mean eGFR at screening was 40.4 ml/min/1.73 m2 and 40.1 ml/min/1.73 m2 in the pegloticase biweekly and monthly arms, respectively, versus 43.3 ml/min/1.73 m2 in the placebo arm (P = 0.6). For the complete RCT population (n = 212) mean age was 55.4 years, 81.6% were men, 67.5% were white, and 13% were black.

Of the 103 patients with CKD stage 3 or 4 in the RCTs, 76 (74%) participated in the OLE study. Two patients received no pegloticase treatment and were excluded from further analysis, 43 (58%) received pegloticase 8 mg every 2 weeks, and 31 (42%) received pegloticase 8 mg every 4 weeks. No statistically significant difference in patient demographics was observed between treatment groups entering the OLE study. Mean age was 62 years, 65% of patients were men, and 70% of patients were white.

Phase 3 clinical trials

Mean eGFR remained constant in the 3 study arms over the 25-week randomized treatment phase (Figure 1). Change in eGFR was not differentially affected by treatment (treatment × time interaction: P = 0.277), independent of age, sex, and race/ethnicity. In addition, no discontinuation pattern was observed that may have biased the treatment effect toward the null hypothesis of no treatment difference. Mean absolute and percentage changes from baseline in eGFR for individuals were consistent with overall findings from the linear mixed effects model (Table 2 and Figure 2). More than one-third of patients in all groups had either no change or an improvement in renal function during the 25-week randomized treatment phase, and approximately one-half of patients in all groups had no more than a 10% decline in renal function (Figure 2).

Figure 1
figure 1

Observed mean eGFR (± SD) over time by treatment group in the RCTs. Mean eGFR was determined every 6 weeks for patients in each of the randomized treatment groups (pegloticase infused every 2 weeks, pegloticase infused every 4 weeks alternating with placebo, and placebo) during the 6-month trials. PGL = pegloticase, SD = standard deviation, eGFR = estimated glomerular filtration rate.

Table 2 Absolute and percentage change in eGFR in patients with CKD stages 3 and 4
Figure 2
figure 2

Percentage of patients with a change in eGFR by categories of change. Change was calculated as the percentage change from baseline in the minimum eGFR observed at post-randomization visit. Categories of change were derived as a proxy for severity of renal function decline. Percentages are presented by randomized treatment group. PGL = pegloticase.

No difference was detected in responder rates to pegloticase therapy by CKD stage. The percentages of responders in subgroups with CKD stage 1, stage 2, stage 3, and stage 4 were 32%, 23%, 35%, and 39%, respectively, (P = 0.3). Responders had statistically significant lower mean eGFR compared with nonresponders at baseline (59.1 ± 25.3 ml/min/1.73 m2 versus 63.3 ± 24.6 ml/min/1.73 m2) and at 6 months (61.5 ± 24.6 ml/min/1.73 m2 versus 63.8 ± 25.1 ml/min/1.73 m2; P = 0.026).

OLE study

Mean (± SD) eGFR at week 1 of the OLE study (after a gap in therapy between trials) was 41.9 ± 14.0 ml/min/1.73 m2 for patients who received pegloticase 8 mg every 2 weeks and 45.3 ± 12.4 ml/min/1.73 m2 for patients who received 8 mg pegloticase every 4 weeks (P = 0.299). Total mean (± SD) treatment duration (from RCT randomization) was also similar between the pegloticase 8 mg every 2 weeks and pegloticase 8 mg every 4 weeks cohorts (88 ± 33 weeks [range, 8–123 weeks] versus 84 ± 33 weeks [range, 12–123 weeks], respectively, P = 0.7).

Mean (± SD) eGFR at week 101 in the OLE study was 46.0 ± 13.3 ml/min/1.73 m2 in patients receiving pegloticase biweekly compared with 40.6 ± 14.9 ml/min/1.73 m2 in patients receiving pegloticase monthly (P = 0.3). No change in eGFR was detected with respect to time (treatment × time interaction: P = 0.9), independent of age, sex, and race/ethnicity.

Safety and tolerability

When assessed for the full safety population of patients in the RCTs, gout flares and infusion reactions were the 2 most common adverse events. Multiple subgroup analyses from the RCTs have confirmed this finding. Further, there were no differences in the pegloticase safety profile based on CKD stage and no new safety signals were detected in this cohort.


This post-hoc subgroup analysis has revealed several new findings of relevance to clinical management of RCG. First, patients with stage 3 or 4 CKD had no clinically meaningful changes in renal function with up to 6 months of pegloticase therapy. Similarly, no changes in renal function were observed in patients who participated in the long-term OLE study for a total mean period of 1.5 years of pegloticase therapy. Second, pegloticase efficacy and safety were not affected by renal function status. Finally, response to pegloticase was independent of CKD stage. While there was a statistically significant trend indicating that responders had lower eGFRs than nonresponders, change in eGFR over time was not different as a function of responder status.

One strength of the present analysis is the utilization of prospectively collected data derived from randomized clinical trials that featured a placebo arm. However, the analysis is limited by established drawbacks of retrospective data analyses. In addition, the phase 3 clinical trials were not powered to detect changes in renal function across randomized treatment groups.

Normalization of hyperuricemia for extended periods in patients with renal impairment may have clinical implications. Urate-lowering with allopurinol and febuxostat has been associated with preservation of renal function in patients with gout; results reported here for pegloticase are consistent with these previous findings [2426]. While no change or decrement in mean eGFR was associated with pegloticase therapy during the randomized and OLE studies, the slow rate of progression of CKD means that a larger sample size must be followed for a longer period of time to confirm this observation. Rarely, hypouricemia resulting from mutations in URAT1 and GLUT9 has been associated with exercise-induced acute kidney injury. Mechanistically this relationship is poorly understood [2729] and it should be noted that pegloticase has no effect on urate/anion transporters. One patient in the pegloticase trials developed acute kidney injury attributed to sepsis and chronic renal insufficiency with no evidence for a relationship with hypouricemia.


In conclusion, these data provide support for the use of pegloticase in the management of patients with RCG and comorbid CKD stages 3 and 4 at the approved dosage of 8 mg every 2 weeks.

Authors’ information

Marsha Wolfson is formerly of Savient Pharmaceuticals Inc.



Refractory chronic gout


Chronic kidney disease


estimated glomerular filtration rate


Randomized controlled trial


Open-label extension


Modification of Diet in Renal Disease


Serum creatinine


modified intention-to-treat


Standard deviation.


  1. US Food and Drug Administration: FDA approves new drug for gout: FDA news release, September 14, 2010.,

  2. Savient Pharmaceuticals, Inc: Krystexxa (pegloticase) injection, for intravenous infusion [prescribing information].,

  3. Sherman MR, Saifer MG, Perez-Ruiz F: PEG-uricase in the management of treatment-resistant gout and hyperuricemia. Adv Drug Deliv Rev. 2008, 60: 59-68. 10.1016/j.addr.2007.06.011.

    Article  PubMed  CAS  Google Scholar 

  4. Sundy JS, Ganson NJ, Kelly SJ, Scarlett EL, Rehrig CD, Huang W, Hershfield MS: Pharmacokinetics and pharmacodynamics of intravenous PEGylated recombinant mammalian urate oxidase in patients with refractory gout. Arthritis Rheum. 2007, 56: 1021-1028. 10.1002/art.22403.

    Article  PubMed  CAS  Google Scholar 

  5. Sundy JS, Becker MA, Baraf HS, Barkhuizen A, Moreland LW, Huang W, Waltrip RW, Maroli AN, Horowitz Z: Pegloticase Phase 2 Study Investigators: Reduction of plasma urate levels following treatment with multiple doses of pegloticase (polyethylene glycol-conjugated uricase) in patients with treatment-failure gout: results of a phase II randomized study. Arthritis Rheum. 2008, 58: 2882-2891. 10.1002/art.23810.

    Article  PubMed  Google Scholar 

  6. Sundy JS, Baraf HS, Yood RA, Edwards NL, Gutierrez-Urena SR, Treadwell EL, Vázquez-Mellado J, White WB, Lipsky PE, Horowitz Z, Huang W, Maroli AN, Waltrip RW, Hamburger SA, Becker MA: Efficacy and tolerability of pegloticase for the treatment of chronic gout in patients refractory to conventional treatment: two randomized controlled trials. JAMA. 2011, 306: 711-720.

    Article  PubMed  CAS  Google Scholar 

  7. Zhu Y, Pandya BJ, Choi HK: Prevalence of gout and hyperuricemia in the US general population: the National Health and Nutrition Examination Survey 2007–2008. Arthritis Rheum. 2011, 63: 3136-3141. 10.1002/art.30520.

    Article  PubMed  Google Scholar 

  8. Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS: Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis. 2003, 41: 1-12.

    Article  PubMed  Google Scholar 

  9. National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification (2002).,

  10. Fuldeore MJ, Riedel AA, Zarotsky V, Pandya BJ, Dabbous O, Krishnan E: Chronic kidney disease in gout in a managed care setting. BMC Nephrol. 2011, 12: 36-10.1186/1471-2369-12-36.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Choi HK, Atkinson K, Karlson EW, Curhan G: Obesity, weight change, hypertension, diuretic use, and risk of gout in men: the health professionals follow-up study. Arch Intern Med. 2005, 165: 742-748. 10.1001/archinte.165.7.742.

    Article  PubMed  Google Scholar 

  12. Mikuls TR, Farrar JT, Bilker WB, Fernandes S, Schumacher HR, Saag KG: Gout epidemiology: results from the UK General Practice Research Database, 1990–1999. Ann Rheum Dis. 2005, 64: 267-272. 10.1136/ard.2004.024091.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  13. Chonchol M, Shlipak MG, Katz R, Sarnak MJ, Newman AB, Siscovick DS, Kestenbaum B, Carney JK, Fried LF: Relationship of uric acid with progression of kidney disease. Am J Kidney Dis. 2007, 50: 239-247. 10.1053/j.ajkd.2007.05.013.

    Article  PubMed  CAS  Google Scholar 

  14. See LC, Kuo CF, Chuang FH, Shen YM, Ko YS, Chen YM, Yu KH: Hyperuricemia and metabolic syndrome: associations with chronic kidney disease. Clin Rheumatol. 2011, 30: 323-330. 10.1007/s10067-010-1461-z.

    Article  PubMed  Google Scholar 

  15. Yu KH, Kuo CF, Luo SF, See LC, Chou IJ, Chang HC, Chiou MJ: Risk of end-stage renal disease associated with gout: a nationwide population study. Arthritis Res Ther. 2012, 14: R83-10.1186/ar3806.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Hsu CY, Iribarren C, McCulloch CE, Darbinian J, Go AS: Risk factors for end-stage renal disease: 25-year follow-up. Arch Intern Med. 2009, 169: 342-350. 10.1001/archinternmed.2008.605.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 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: 2407-2413. 10.1681/ASN.2008010080.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Avram Z, Krishnan E: Hyperuricaemia—where nephrology meets rheumatology. Rheumatology (Oxford). 2008, 47: 960-964. 10.1093/rheumatology/ken070.

    Article  CAS  Google Scholar 

  19. Fels E, Sundy JS: Refractory gout: what is it and what to do about it?. Curr Opin Rheumatol. 2008, 20: 198-202. 10.1097/BOR.0b013e3282f4eff5.

    Article  PubMed  CAS  Google Scholar 

  20. Khanna D, Khanna PP, Fitzgerald JD, Singh MK, Bae S, Neogi T, Pillinger MH, Merill J, Lee S, Prakash S, Kaldas M, Gogia M, Perez-Ruiz F, Taylor W, Lioté F, Choi H, Singh JA, Dalbeth N, Kaplan S, Niyyar V, Jones D, Yarows SA, Roessler B, Kerr G, King C, Levy G, Furst DE, Edwards NL, Mandell B, Schumacher HR, American College of Rheumatology, et al: 2012 American College of Rheumatology guidelines for management of gout. Part 2: therapy and antiinflammatory prophylaxis of acute gouty arthritis. Arthritis Care Res (Hoboken). 2012, 64: 1447-1461.

    Article  CAS  Google Scholar 

  21. Wason S, Faulkner RD, Davis MW: Colchicine dosing guidelines for gout patients with varying degrees of renal impairment based on pharmacokinetic data [abstract]. Arthritis Rheum. 2011, 63 (Suppl): 2581-

    Google Scholar 

  22. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D: A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999, 130: 461-470. 10.7326/0003-4819-130-6-199903160-00002.

    Article  PubMed  CAS  Google Scholar 

  23. Fitzmaurice GM, Laird NM, Ware JH: Linear mixed effects models. Applied Longitudinal Analysis. 2004, New York: John Wiley & Sons, 187-1

    Google Scholar 

  24. Whelton A, MacDonald PA, Zhao L, Hunt B, Gunawardhana L: Renal function in gout: long term treatment effects of febuxostat. J Clin Rheumatol. 2011, 17: 7-13. 10.1097/RHU.0b013e318204aab4.

    Article  PubMed  Google Scholar 

  25. Whelton A, MacDonald PA, Chefo S, Gunawardhana L: Preservation of renal function during gout treatment with febuxostat: a quantitative study. Postgrad Med. 2013, 125: 106-114. 10.3810/pgm.2013.01.2626.

    Article  PubMed  Google Scholar 

  26. Gibson T, Rodgers V, Potter C, Simmonds HA: Allopurinol treatment and its effect on renal function in gout: a controlled study. Ann Rheum Dis. 1982, 41: 59-65. 10.1136/ard.41.1.59.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  27. Dinour D, Bahn A, Ganon L, Ron R, Geifman-Holtzman O, Knecht A, Gafter U, Rachamimov R, Sela BA, Burckhardt G, Holtzman EJ: URAT1 mutations cause renal hypouricemia type 1 in Iraqi Jews. Nephrol Dial Transplant. 2011, 26: 2175-2181. 10.1093/ndt/gfq722.

    Article  PubMed  CAS  Google Scholar 

  28. Shima Y, Nozu K, Nozu Y, Togawa H, Kaito H, Matsuo M, Iijima K, Nakanishi K, Yoshikawa N: Recurrent EIARF and PRES with severe renal hypouricemia by compound heterozygous SLC2A9 mutation. Pediatrics. 2011, 127: e1621-e1625. 10.1542/peds.2010-2592.

    Article  PubMed  Google Scholar 

  29. Stiburkova B, Taylor J, Marinaki AM, Sebesta I: Acute kidney injury in two children caused by renal hypouricaemia type 2. Pediatr Nephrol. 2012, 27: 1411-1415. 10.1007/s00467-012-2174-0.

    Article  PubMed  Google Scholar 

Download references


Savient has exclusively licensed worldwide rights to the technology related to pegloticase and its uses from Duke University (“Duke”) and Mountain View Pharmaceuticals, Inc. (“MVP”). Duke developed the recombinant uricase enzyme and MVP developed the Pegylation technology used in the manufacture of pegloticase. The authors thank the GOUT1 and GOUT2 investigators for their contributions and patients for their participation. We would like to thank CTI Clinical Trial and Consulting Services (Cincinnati, OH) for statistical analysis of pooled data and interpretation of study results. Editorial support for the development of this paper was provided by the fmP group of Fallon Medica LLC, and was funded by Savient Pharmaceuticals, Inc.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Robert A Yood.

Additional information

Competing interests

William Irish has received research support from Novartis and Genentech and is a consultant for Tolera. Faith Ottery is a previous employee of Savient Pharmaceuticals, Inc. Marsha Wolfson is a previous employee and currently receives consulting fees from Savient Pharmaceuticals, Inc. Robert Yood has received grant support from Takeda Pharmaceuticals.

Authors’ contributions

FO and RY were involved in the design, implementation, and data analysis for the phase 3 trials. MW provided clinical guidance on the renal function analysis and data interpretation. BI performed the renal function data analysis. All authors helped to draft the manuscript, provided guidance on revisions, and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Rights and permissions

This article is published under license to BioMed Central Ltd. 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 work is properly cited.

Reprints and permissions

About this article

Cite this article

Yood, R.A., Ottery, F.D., Irish, W. et al. Effect of pegloticase on renal function in patients with chronic kidney disease: a post hoc subgroup analysis of 2 randomized, placebo-controlled, phase 3 clinical trials. BMC Res Notes 7, 54 (2014).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: