Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Randomized Controlled Trial
. 2025 Apr 1;40(4):720-730.
doi: 10.1093/ndt/gfae203.

Empagliflozin lowers serum uric acid in chronic kidney disease: exploratory analyses from the EMPA-KIDNEY trial

Collaborators, Affiliations
Randomized Controlled Trial

Empagliflozin lowers serum uric acid in chronic kidney disease: exploratory analyses from the EMPA-KIDNEY trial

Kaitlin J Mayne et al. Nephrol Dial Transplant. .

Abstract

Background: Hyperuricaemia and gout are common in chronic kidney disease (CKD). We aimed to assess the effects of sodium-glucose co-transporter-2 (SGLT2) inhibition on uric acid (urate) and gout in patients with CKD.

Methods: The EMPA-KIDNEY trial randomised 6609 patients with CKD to receive either empagliflozin 10 mg daily or matching placebo over a median of 2 years of follow-up. Serum uric acid was measured at randomisation then at 2 and 18 months of follow-up and the effects of empagliflozin were analysed using a pre-specified mixed model repeated measures approach. Participant-reported gout events were analysed in Cox regression models (first events) with the Andersen-Gill extension (total events). A post hoc composite outcome included new initiation of uric acid-lowering therapy or colchicine. EMPA-KIDNEY primary and kidney disease progression outcomes were also assessed in subgroups of baseline serum uric acid.

Results: Baseline mean ± standard deviation serum uric acid concentration was 431 ± 114 µmol/l. Allocation to empagliflozin resulted in a study-average between-group difference in serum uric acid of -25.6 µmol/l [95% confidence interval (CI) -30.3 to -21.0], with larger effects in those with higher eGFR (trend P < .001) and without diabetes (heterogeneity P < .001). Compared with placebo, empagliflozin did not significantly reduce first or total gout events [hazard ratio 0.87 (95% CI 0.74-1.02) for the 595 first events and 0.86 (0.72-1.03) for the 869 total events] with similar hazard ratios for the post hoc composite and across subgroups, including by diabetes and eGFR. The effect of empagliflozin on the primary outcome and kidney disease progression outcomes were similar irrespective of the baseline level of uric acid.

Conclusions: SGLT2 inhibition reduces serum uric acid in patients with CKD, with larger effects at higher eGFR and in the absence of diabetes. However, the effect on uric acid is modest and did not translate into reduced risk of gout in EMPA-KIDNEY.

Keywords: CKD; SGLT2 inhibitor; empagliflozin; gout; uric acid.

PubMed Disclaimer

Conflict of interest statement

The EMPA-KIDNEY trial was initiated, designed, conducted, analysed and reported by the University of Oxford with a steering committee of experts. This article has not been published previously in whole or part. The Clinical Trial Service Unit and Epidemiological Studies Unit (Oxford, UK) has a staff policy of not accepting honorarium or other payments from the pharmaceutical industry, except for reimbursement of costs to participate in scientific meetings (see https://www.ctsu.ox.ac.uk/about/ctsu_honoraria_25june14-1.pdf). K.J.M., R.J.S., N.S., P.K.J., D.Z.I.C., E.S., J.E., D.P., C.W., M.J.L., C.B., R.H. and W.G.H. report grant funding paid to their institution (the University of Oxford) from Boehringer Ingelheim and Eli Lilly and funding from the UK Medical Research Council (to the Clinical Trial Service Unit and Epidemiological Studies Unit; reference MC_UU_00017/3), the British Heart Foundation, National Institute for Health and Care Research Biomedical Research Council and Health Data Research (UK). Additionally, N.S. reports institutional grant funding from Novo Nordisk. D.Z.I.C. reports institutional grant funding from AstraZeneca, Boehringer Ingelheim/Eli Lilly, CSL Behring, Janssen, Merck, Novo Nordisk and Sanofi and consulting fees from AbbVie, AstraZeneca, Bayer, Boehringer Ingelheim/Eli Lilly, BMS, CSL Behring, Gilead, GSK, Inversago, Janssen, Lexicon, Maze, Merck, Mitsubishi Tanabe, Novartis, Novo Nordisk, Otsuka, Prometic, Sanofi and Youngene; payment or honoraria for lectures from AstraZeneca, Bayer, Boehringer Ingelheim/Eli Lilly, Janssen, Merck, Mitsubishi Tanabe, Novo Nordisk and Sanofi; support for attending meetings from AstraZeneca, Bayer, Boehringer Ingelheim/Eli Lilly, Janssen, Merck, Novo Nordisk and receipt of study drug from AstraZeneca. J.B.G. reports institutional grant funding from Merck, Roche, Boehringer Ingelheim, Eli Lilly, Bluedrop and consulting fees from AstraZeneca, Novo Nordisk, Pfizer, Bayer, Anji, Boehringer Ingelheim, Valo, Eli Lilly, Vertex and Mineralys. A.L. reports institutional grant funding, payments or honoraria for lectures and participation on a data safety monitoring board or advisory board related to Boehringer Ingelheim and leadership roles as Kidney Disease: Improving Global Outcomes 2024 Guideline Work Group Chair and International Society of Nephrology Co-chair for Advancing Clinical Trials. R.P. has nothing to disclose. S.J.H. is an employee of Boehringer Ingelheim, the sponsor of the EMPA-KIDNEY trial. D.P. reports institutional grant funding from Novartis and Novo Nordisk. M.J.L. reports institutional grant funding from Novartis and Janssen and the donation of treatment for a clinical trial from Regeneron and Roche. C.B. reports institutional grant funding from National Institute for Health and Care Research Health Technology Assessment (NIHR HTA) and Health Data Research UK; participation on a data safety monitoring board or advisory board related to Merck, NIHR HTA and the British Heart Foundation; and leadership roles as the European Society of Cardiology Chair of Committee on Practice Guidelines and with NIHR HTA [Chair: ATTACK (Aspirin to target arterial events in chronic kidney disease) and DASH (Desmopressin for acute stroke due to haemorrhage)]. C.W. reports institutional grant funding from Sanofi; consulting fees from Bayer, Boehringer Ingelheim, AstraZeneca and Astellas and payments or honoraria for lectures from Bayer, Boehringer Ingelheim, AstraZeneca, Amgen, Sanofi, MSD, Fresenius Medical Care, CSL Vifor, Novartis and Novo Nordisk. R.H. reports institutional grant funding from Roche, GSK/Vir and Combiphar and participation on a data safety monitoring board or advisory board related to Eli Lilly (no payments received).

Figures

Graphical Abstract
Graphical Abstract
Figure 1:
Figure 1:
Effect of empagliflozin versus placebo on serum uric acid overall. *To convert uric acid to mg/dl, divide by 59.48 (25.6 µmol/l ≈ 0.4 mg/dl). Analysis required participants to have at least one measurement of uric acid during follow-up at 2 and/or 18 months (n = 2691 participants). The value at time 0 is the overall mean of baseline values in all analysed participants in the empagliflozin and placebo arms combined. Study-average differences between treatment groups (empagliflozin minus placebo) are derived from an MMRM adjusted for baseline serum uric acid (in continuous form), baseline × time interaction, the covariates used in the minimisation algorithm (categories of age, sex, diabetes, eGFR, uACR and region), fixed categorical effects of time, treatment allocation and treatment × time interaction and weighted in proportion to the amount of time between follow-up visits. Missing baseline uric acid (4/2691 participants) was imputed with the baseline mean.
Figure 2:
Figure 2:
Effects of empagliflozin versus placebo on serum uric acid in subgroups defined by baseline characteristics. *To convert uric acid to mg/dl, divide by 59.48 (380 µmol/l ≈ 6.4 mg/dl; 480 µmol/l ≈ 8.1 mg/dl). Analysis required participants to have at least one measurement of uric acid during follow-up at 2 and/or 18 months (n = 2691 participants). Absolute differences in study-average uric acid between treatment groups (empagliflozin minus placebo) are derived from an MMRM adjusted for baseline serum uric acid (in continuous form), baseline × time interaction, the covariates used in the minimisation algorithm (categories of age, sex, diabetes, eGFR, uACR and region), fixed categorical effects of time, treatment allocation and treatment × time interaction and weighted in proportion to the amount of time between follow-up visits. Interaction terms are included in the MMRM to assess for heterogeneity (sex, diabetes, previous gout, any diuretic therapy) between or trend (eGFR, serum uric acid) across subgroup-specific means and standard errors. Relative differences are presented in Supplementary Fig. 4. Uric acid–lowering therapy includes xanthine oxidase inhibitors and primary uricosuric drugs (see Methods). Missing baseline uric acid (4/2691 participants) was imputed with the baseline mean and thus participants are included in the middle subgroup category (≥380–<480 µmol/l).
Figure 3:
Figure 3:
Effects of empagliflozin versus placebo on first and recurrent gout events in subgroups. Total (first and recurrent) self-reported episodes of gout recorded as adverse events (serious or non-serious) analysed using the Andersen–Gill extension of Cox regression with adjustment for the covariates used in the minimisation algorithm (categories of age, sex, diabetes, eGFR, uACR and region). n/N represents the number of events/the number of participants and rate is expressed as the total events per 1000 patient-years. Reasons for missing uric acid: analyses were not conducted in participants from China (n = 986) or participants who did not provide additional optional consent for long-term sample storage for biochemical analysis. *To convert uric acid to mg/dl, divide by 59.48 (380 µmol/l ≈ 6.4 mg/dl; 470 µmol/l ≈ 7.9 mg/dl). Trend test excludes missing category. Uric acid–lowering therapy includes xanthine oxidase inhibitors and primary uricosuric drugs (see Methods).
Figure 4:
Figure 4:
Effects of empagliflozin versus placebo on the primary outcome and kidney disease progression by serum uric acid concentration at randomisation. *To convert uric acid to mg/dl, divide by 59.48 (380 µmol/l ≈ 6.4 mg/dl; 470 µmol/l ≈ 7.9 mg/dl). Progression of kidney disease is defined as ESKD (initiation of maintenance dialysis or kidney transplant), a sustained decrease in eGFR to <10 ml/min/1.73 m2, a sustained decrease in eGFR of at least 40% from baseline or death from renal causes. Reasons for missing uric acid: analyses were not conducted in participants from China (n = 986) or participants who did not provide additional optional consent for long-term sample storage for biochemical analysis. Ptrend tests for trend across the three non-missing categories.

References

    1. Bailey CJ. Uric acid and the cardio-renal effects of SGLT2 inhibitors. Diabetes Obes Metab 2019;21:1291–8. 10.1111/dom.13670 - DOI - PubMed
    1. Johnson RJ, Sanchez Lozada LG, Lanaspa MAet al. . Uric acid and chronic kidney disease: still more to do. Kidney Int Rep 2023;8:229–39. 10.1016/j.ekir.2022.11.016 - DOI - PMC - PubMed
    1. Jordan DM, Choi HK, Verbanck Met al. . No causal effects of serum urate levels on the risk of chronic kidney disease: a Mendelian randomization study. PLoS Med 2019;16:e1002725. 10.1371/journal.pmed.1002725 https://www.ncbi.nlm.nih.gov/pubmed/30645594 - DOI - PMC - PubMed
    1. Tsao HM, Lai TS, Chang YCet al. . Serum urate and risk of chronic kidney disease: a mendelian randomization study using Taiwan Biobank. Mayo Clin Proc 2023;98:513–21. 10.1016/j.mayocp.2023.01.004 - DOI - PubMed
    1. Ahola AJ, Sandholm N, Forsblom Cet al. . The serum uric acid concentration is not causally linked to diabetic nephropathy in type 1 diabetes. Kidney Int 2017;91:1178–85. 10.1016/j.kint.2016.11.025 - DOI - PubMed

Publication types

MeSH terms