Skip to main content

Correlation between the increase in serum uric acid and the rapid decline in kidney function in adults with normal kidney function: a retrospective study in Urumqi, China

Abstract

Background

To examine the association between elevated serum uric acid (SUA) levels and the rapid decline in kidney function by conducting a retrospective cohort study on a physically healthy population in Urumqi, China.

Methods

A cohort study of 2,802 physically healthy people with a normal estimated glomerular filtration rate (eGFR) was investigated from 2018 to 2021. The examination procedure included using questionnaires, taking physical measurements, and blood sampling. The rapid decline in kidney function was defined as eGFR > 5 mL·min–1 ·(1.73 m2 )–1 year. The relationship between elevated SUA levels and the rapid decline in kidney function was assessed.

Results

When performing the three-year retrospective analysis, 688 (28.55%) cases experienced a rapid decline in kidney function, and 52 (1.9%) cases developed chronic kidney disease (CKD). They were divided into the stable group and the rapidly declining kidney function group according to eGFR > 15 mL·min–1·(1.73 m2 )–1. The comparison revealed a greater increase in uric acid in the rapidly declining kidney function group [0.30 (-0.29, 0.82) mg/dL vs. − 0.07(-0.54, 0.37) mg/dL, Z = − 8.822, P < 0.001]. The participants were further divided into four groups according to their uric acid levels in 2018 and 2021, which included the normal to normal (N-N) group, the normal to hyperuricemia (HUA) (N-H) group, the HUA to normal (H-N) group, and the persistently HUA (H-H) group. The decrease in eGFR was significantly higher in the N-H group than in the other three groups (χ2 = 20.580, P < 0.001). The results of the multifactorial logistic regression analysis showed that elevated uric acid was a risk factor for the rapid decline in kidney function (OR = 1.640, P < 0.001).

Conclusion

Elevated SUA levels were a risk factor for the rapid decline in kidney function in the Chinese health examination population. Higher SUA levels might predict the occurrence of progressive kidney impairment.

Peer Review reports

Background

Chronic kidney disease (CKD) is a severe global health risk. It adversely affects human health and the quality of life, especially in an aging population [1, 2]. Since the 1990s, HUA, hypertension, metabolic syndrome, and other influencing factors have been implicated in CKD [3,4,5]. An increase in uric acid levels and CKD or new onset CKD were found to be positively correlated. Hence, high uric acid levels might lead to the progression of CKD [6]. Information about the rate of decline in kidney function and its pattern is limited. However, some studies found that accelerated decline in kidney function was associated with high uric acid levels, high blood pressure, and metabolic syndrome [7,8,9]. Also, rapid deterioration in kidney function is strongly associated with increased complications, cardiovascular events, and all-cause mortality [10]. Uric acid is the end product of purine metabolism in the human body, and it exhibits antioxidant activities within the normal physiological range [11]. In contrast, elevated blood uric acid contributes to the onset of gout, causes insulin resistance, and aggravates cardiovascular diseases [12, 13]. Uric acid levels were positively correlated with a decrease in kidney function in a physically examined population [14, 15]. Based on three years of follow-up, a reduction in the blood uric acid levels was found to delay the decrease in kidney function in elderly patients with hypertension [16]. The prognosis of patients with kidney diseases suffering from HUA was considerably worse than those with normal uric acid levels, and anti-uric acid treatment improved kidney function [17,18,19]. Elucidating the relationship between blood uric acid levels and changes in kidney function can facilitate enhanced prevention and control of CKD and precise nursing. In this study, we retrospectively analyzed the changes in kidney function and uric acid at baseline and after three years in a cohort of people aged 20 years or older at the health management center of the First Affiliated Hospital of Xinjiang Medical University in Urumqi. We analyzed and assessed the association between blood uric acid levels and changes in kidney function in the examined population. Our findings might provide a theoretical basis for managing CKD.

Materials and methods

Population

In this study, the population data of health check-ups in the Health Management Center of the First Affiliated Hospital of Xinjiang Medical University for three consecutive years from January to December 2018 were selected. The inclusion criteria were (1) age ≥ 20 years old and (2) permanent residents of Urumqi (≥ 6 months). The exclusion criteria were (1) patients with incomplete demographic data and clinical data; (2) patients with severe liver or kidney disease and those who were administered drugs that affect blood creatinine and uric acid, and those who underwent any form of kidney replacement therapy; (3) patients with eGFR < 60 mL/min·(1.73 m2) [20],

In this study, a stratified and grouped sampling design was used, and the baseline survey was conducted from 2018 to 2019. In 2018 and 2021, a standardized process was adopted for blood sample collection, and 3,472 participants who met the inclusion criteria were included. After the screening process, 121 people were excluded due to the exclusion criteria. An additional 549 participants were excluded because they did not have a health check-up in 2021. In the end, 2,802 participants were eligible to participate in this study, including 1,736 males (61.96%) and 1,066 females (38.04%), who were 20 to 88 years old.

The study was approved by the Ethics Committee of the First Affiliated Hospital of Xinjiang Medical University.

Data and sample collection

Data collection and other laboratory data: The medical history of the participants, such as their gender, age, ethnicity, medical history, medication, blood pressure, and body mass index (BMI), was recorded using a questionnaire. All participants underwent liver function, lipid, creatinine, uric acid, and fasting blood glucose tests. All participants were fasting (for at least 8 h) during blood collection, and all tests were performed in the laboratory. Serum creatinine and uric acid were measured using an enzymatic method (Olympus AU5811 Roche C800 fully automatic Biochemical Analyzer, Japan).

Kidney function evaluation

Demographic and clinical data recorded in 2018 were defined as baseline information. Kidney function was evaluated based on the level of eGFR. The levels of eGFR in 2018 and 2021 were defined as kidney function at baseline and endpoint, respectively. The CKD-EPI formula was used to estimate the glomerular filtration rate (eGFR): eGFR = 141 × min (blood creatinine/κ, 1) ɑ × max (blood creatinine/κ, 1)– 1.209 × 0.993Age × 1.018 (if female) (female, κ = 0.7, male κ = 0.9; female ɑ = − 0.329, male ɑ = − 0.411, min refers to Scr/κ min or 1, max refers to Scr/κ max or 1) [21].

Outcome

The primary outcome was a rapid decrease in eGFR, as defined by a reduction of > 5 mL·min–1·(1.73 m2 )–1/year [22, 23]. A reduction in eGFR of > 15 mL/min·(1.73 m2) after three years was considered to indicate the progression of kidney function. The secondary outcome was the development of CKD, as defined by the decrease in the level of eGFR to < 60 mL/min/1.73 m2. The participants were divided into a stable kidney function group and a declining kidney function group. HUA was defined by the SUA level, which was ≥ 7 mg/dL in males and ≥ 6 mg/dL in females [24, 25]. The participants were divided into four groups depending on the HUA content in 2018 and 2021, including the normal to normal (N-N) group, the normal to HUA (N-H) group. The HUA reduced to normal (H-N) group and the persistent HUA (H-H) group. The changes in the glomerular filtration rate (∆eGFR = eGFR2021-eGFR2018) and uric acid (∆UA = UA2021-UA2018) in the four groups were analyzed.

Quality control

The investigators were trained and assessed before starting the study. Various data obtained during the survey were managed on a computer using entry forms designed by epidemiologists. The data were dually recorded using the EpiData 3.1 software to create a database. In 2018 and 2021, a standardized process was used for blood sample collection, Laboratory quality control was also conducted.

Statistical analysis

The data were expressed as the mean ± standard deviations (SDs) for continuous variables and the number and percentage for classified variables. Two independent two-sample tests, i.e., the t-test or the Mann-Whitney U-test, was performed to compare the stable kidney function group and the declining kidney function group, and Pearson’s χ2 test was performed to compare the rates. The data of SUA were divided into four groups and tested by the Kruskal-Wallis H-test. The risk factors for the rapid decline in kidney function were analyzed using a logistic regression model. All data were analyzed using SPSS 26.0. All differences between groups were considered to be statistically significant at P < 0.05.

Results

General data: In total, 2,802 individuals aged 21 to 88 years in Urumqi were included in this study to complete the three-year retrospective analysis. There were 1,736 males (61.96%) and 1,066 females (38.04%). The data recorded in 2018 was considered to be the baseline. The participants were 44.65 ± 14.43 years old and had a mean uric acid level of 5.09 ± 1.32 mg/dL. There were 305 cases of HUA with a uric acid level of 7.39 ± 0.75 mg/dL. The mean rate of glomerular filtration was 105.46 ± 19.63 mL·min–1 ·(1.73 m2 )–1 (Table 1).

Table 1 The basic demographic and baseline characteristics of the biochemical indicators of 2,802 cases recorded in 2018

Comparison of the basic demographic and biochemical indicators after grouping based on ∆eGFR: During the three-year retrospective analysis, a decrease in the eGFR levels greater than 15 mL·min–1 ·(1.73 m2)–1 was considered to indicate the progression of kidney function. In total, 688 (28.55%) cases experienced a rapid decline in kidney function, and 52 (1.9%) cases developed CKD. There were 688 cases with ∆eGFR > 15 mL·min–1 ·(1.73 m2)–1 in the declining kidney function group and 2,114 cases with ∆eGFR ≤ 15 mL·min–1 ·(1.73 m2)–1 in the stable kidney function group. The basal blood uric acid was not significantly different between the groups, whereas ∆UA was significantly higher in the reduced kidney function group [0.30 (-0.29, 0.82) mg/dL versus − 0.07(–0.54, 0.37) mg/dL, Ζ = − 8.822, P < 0.001]. The level of HDL was significantly lower in the reduced kidney function group (1.31 ± 0.34 mmol/L) than in the stable kidney function group (1.37 ± 0.35 mmol/L) (Table 2).

Table 2 Comparison of the basic demographic and biochemical indicators between the stable kidney function group and the rapidly declining kidney function group

We also compared ∆eGFR and ∆UA after dividing the participants into four groups based on the status of their HUA content in 2018 and 2021. There were 2,353 cases in the N-N group, 144 cases in the N-H group, 125 cases in the H-N group, and 180 cases in the H-H group. The ∆GFR values were − 5.42 (-14.18, 3.34), − 10.58 (-22.82, 2.21), − 1.69 (-11.68, 8.16), and − 6.63 (-16.99, 1.18) mL·min–1 ·(1.73 m2 )–1, respectively. The level of ∆GFR decreased most significantly in the N-H group (χ2 = 20.580, P < 0.001) (Fig. 1). The ∆UA was − 0.01 (-0.44, 0.47), 1.51 (0.76, 2.01), − 1.41 (-1.93,–0.80), and 0.00 (-0.30, 0.28) mg/dL in the four groups, respectively, and the differences between groups were statistically significant (χ2 = 509.284, P < 0.001) (Fig. 2).

Fig. 1
figure 1

Comparison of ∆eGFR after classification into four groups based on the HUA status

N-N: the normal to normal group; N-H: the normal to HUA group; H-N: the HUA to the normal group; H-H: the persistent HUA group; ∆UA is the difference in UA between 2021 and 2018.

Fig. 2
figure 2

Comparison of ∆UA after classification into four groups based on the HUA status

N-N: the normal to normal group; N-H: the normal to HUA group; H-N: the HUA to the normal group; H-H: the persistent HUA group; ∆eGFR is the difference in eGFR between 2021 and 2018.

Risk factor analysis for the rapid decline in kidney function

Considering ∆eGFR > − 15 mL·min–1 (1.73 m2)–1 as the endpoint event, a univariate logistic regression analysis was performed to determine the relationship between the influencing factors and the rapid decline in kidney function. The age, gender, BMI, systolic blood pressure, diastolic blood pressure, fasting blood glucose, total cholesterol, triglycerides, HDL, low-density lipoprotein, glutamic aminotransferase, glutamic oxaloacetic aminotransferase, urea nitrogen, basal uric acid values, and changed uric acid values of the individuals were incorporated into the multifactorial logistic regression analysis. An increase in the level of uric acid was considered to be an independent risk factor for the rapid decline in kidney function (OR 1.640, P < 0.001). HDL was considered to be a protective factor for the rapid decline in kidney function (OR 0.685, P = 0.029) (Table 3).

Table 3 Multifactorial logistic regression analysis for the rapid decline in kidney function

Discussion

The global incidence of CKD has increased in recent years. CKD patients suffer from an early and rapid decline in kidney function [26]. HUA is a risk factor for eGFR strata. The lower the eGFR, the higher the prevalence of HUA and gout [2728]. Hence, early identification of the rapid decline in kidney function during the physical examinations and interventions for the influencing factors is crucial. Among the participants in this study, the increase in blood uric acid was statistically significant in the stable and declining kidney function groups. In contrast, the basal blood uric acid levels showed no statistical significance. Most studies are mainly based on patients with CKD, but studies on cases of normal kidney function with a rapid decline in kidney function are rare. Therefore, in this study, we identified only 688 (28.55%) individuals with a rapid decline in kidney function which further indicated the limitations in assessing early decline in kidney function based on a one-time creatinine value. Thus, routine screening and serial assessment of the glomerular filtration rate are required in the health-screening population to identify patients with rapidly declining kidney function. Early and continual monitoring of the influencing factors and intervention should also be performed. We used the CKD-EPI formula to calculate the glomerular filtration rate [21]. The CKD-EPI formula was developed based on different ethnic groups, mainly comprising CKD patients and healthy individuals. Hence, the applicability of the CKD-EPI formula in the Chinese medical examination population needs to be determined.

The N-H group had the fastest decline in kidney function. Thus, the basal uric acid levels could not predict the rapid decline in kidney function. The elevated level of serum uric acid was an independent risk factor for the rapid decline in kidney function.This finding was similar to that of a study by Cao, where hyperuricemia was a risk factor for kidney impairment in men with normal or mildly impaired kidney function. Even a slight increase in SUA might be a risk factor in people with mild kidney insufficiency [29]. Lowering the blood uric acid levels protects the kidneys by reducing oxidative stress and decreasing the activation of the renin-angiotensin-aldosterone system [23, 30, 31]. Also, when uric acid-lowering drugs, such as allopurinol and febuxostat, are incorporated, the production of inflammatory factors decreases, and endothelial functions improve. This can provide further protection to the kidneys [32, 33]. Some studies found that hyperuricemia has a similar risk of cardiovascular and all-cause mortality whether treated with diuretics or not [34]. However, drugs, as an influencing factor, were not incorporated in this study, and further investigation is necessary.

In this study, the grouping of individuals based on the changes in uric acid levels showed interesting patterns. In the H-H and the H-N groups, the decrease in kidney function and the increase in blood uric acid were lower compared to that in the N-H group, which occurred probably because a decrease in uric acid levels was found after hyperuricemia was detected in some individuals of the H-N group. This finding indicated that with the increase in serum uric acid levels, kidney functions decrease rapidly. The increase in high-density lipoprotein was found to have a protective effect against the rapid decline in kidney function. The reasons might be related to the beneficial antioxidant and anti-inflammatory effects of high-density lipoprotein on the kidneys [35, 36]. It could also be because the stable kidney function group had a healthier lifestyle than the rapidly decreasing kidney function group. These issues need to be further investigated in future studies.Our study had some limitations. First, the population of this study was selected from a single health-screening center, where male patients outnumbered female patients. The differences in the distribution of gender and eGFR levels in the study population were not significant. Thus, the sample in this study represented the Urumqi medical examination population to some extent, and the data were not biased. Second, no “gold standard” data on the maximum glomerular filtration rate (mGFR) were available for this study. However, as the objective of this study was longitudinal changes in kidney function, the application of the eGFR formula did not influence the overall results. Hence, the information on the patients taking medication, particularly the information on hyperuricemic patients under anti-uric acid medication, needs to be determined for improving kidney function in some patients. This aspect should be considered in detail in future studies.

In conclusion, we found that basal blood uric acid levels did not determine a decrease in kidney function. Instead, high blood uric acid was an independent risk factor for a decrease in kidney function. Therefore, the efficient identification and screening of early risk factors are crucial for evaluating the rapid decline in kidney function, timely intervention, and treatment. During health check-ups, changes in kidney function and uric acid levels should be determined as they can provide early warning of CKD and help reduce its incidence.

Data Availability

The data presented in this study are available on request from the corresponding author.

Abbreviations

SUA:

Serum uric acid

HUA:

Hyperuricemia

eGFR:

Estimate the glomerular filtration rate

mGFR:

Maximum glomerular filtration rate

CKD:

Chronic kidney disease

N-N:

Normal to normal group

N-H:

Normal to HUA group

H-N:

HUA to normal group

H-H:

Persistently HUA group

BMI:

Body mass index

HDL:

High-density lipoprotein

LDL:

Low-density lipoprotein

CKD-EPI:

Chronic Kidney Disease Epidemiology Collaborative

References

  1. Schrauben SJ, Jepson C, Hsu JY, Wilson FP, Zhang X, Lash JP, et al. Insulin resistance and chronic kidney disease progression, cardiovascular events, and death: findings from the chronic renal insufficiency cohort study. BMC Nephrol. 2019;20(1):60. https://doi.org/10.1186/s12882-019-1220-6.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Yuan J, Zou XR, Han SP, Cheng H, Wang L, Wang JW, et al. Prevalence and risk factors for cardiovascular disease among chronic kidney disease patients: results from the chinese cohort study of chronic kidney disease (C-STRIDE). BMC Nephrol. 2017;18(1):23. https://doi.org/10.1186/s12882-017-0441-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Lee CL, Tsai SF. Association between mortality and serum uric acid levels in non-diabetes-related chronic kidney disease: an analysis of the National Health and Nutrition Examination Survey, USA, 1999-2010. Sci Rep. 2020;10(1):17585. https://doi.org/10.1038/s41598-020-74747-w.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Hong JW, Noh JH, Kim DJ. Association between serum uric acid and spirometric pulmonary function in korean adults: the 2016 Korea National Health and Nutrition Examination Survey. PLoS ONE. 2020;15(10):e0240987. https://doi.org/10.1371/journal.pone.0240987.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Ali N, Perveen R, Rahman S, Mahmood S, Rahman S, Islam S, et al. Prevalence of hyperuricemia and the relationship between serum uric acid and obesity: a study on bangladeshi adults. PLoS ONE. 2018;13(11):e0206850. https://doi.org/10.1371/journal.pone.0206850.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kang D-H, Chen W. Uric acid and chronic kidney disease: new understanding of an old problem. Semin Nephrol. 2011;31(5):447-52. https://doi.org/10.1016/j.semnephrol.2011.08.009.

    Article  CAS  PubMed  Google Scholar 

  7. Giannelli SV, Graf CE, Herrmann FR, Michel J-P, Patel KV, Pizzarelli F, et al. Natural history of older adults with impaired kidney function: the InCHIANTI study. Rejuvenation Res. 2011;14(5):513-23. https://doi.org/10.1089/rej.2011.1179.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Shrestha DB, Budhathoki P, Sedhai YR, Baniya R, Gaire S, Adhikari Y, et al. Prevalence of chronic kidney disease, its risk factors and outcome in nepal: a systematic review and meta-analysis. J Nepal Health Res Counc. 2021;19(2):230-8. https://doi.org/10.33314/jnhrc.v19i2.3302.

    Article  PubMed  Google Scholar 

  9. Lim CC, He F, Li J, Tham YC, Tan CS, Cheng C-Y, et al. Application of machine learning techniques to understand ethnic differences and risk factors for incident chronic kidney disease in Asians. BMJ Open Diabetes Res Care. 2021;9(2):e002364. https://doi.org/10.1136/bmjdrc-2021-002364.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Huang YJ, Hsu YL, Chuang YH, Lin HYH, Chen YH, Chan TC. Association between renal function and cardiovascular mortality: a retrospective cohort study of elderly from health check-up. BMJ Open. 2021;11(9):e049307. https://doi.org/10.1136/bmjopen-2021-049307.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Shen Y, Wang Y, Chang C, Li S, Li W, Ni B. Prevalence and risk factors associated with hyperuricemia among working population at high altitudes: a cross-sectional study in Western China. Clin Rheumatol. 2019;38(5):1375-84. https://doi.org/10.1007/s10067-018-4391-9.

    Article  PubMed  Google Scholar 

  12. Yoo TW, Sung KC, Shin HS, Kim BJ, Kim BS, Kang JH, et al. Relationship between serum uric acid concentration and insulin resistance and metabolic syndrome. Circ J. 2005;69(8):928-33. https://doi.org/10.1253/circj.69.928.

    Article  CAS  PubMed  Google Scholar 

  13. Ali N, Miah R, Hasan M, Barman Z, Mou AD, Hafsa JM, et al. Association between serum uric acid and metabolic syndrome: a cross-sectional study in bangladeshi adults. Sci Rep. 2020;10(1):7841. https://doi.org/10.1038/s41598-020-64884-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Cao X, Wu L, Chen Z. The association between elevated serum uric acid level and an increased risk of renal function decline in a health check-up cohort in China. Int Urol Nephrol. 2018;50(3):517-25. https://doi.org/10.1007/s11255-017-1732-6.

    Article  CAS  PubMed  Google Scholar 

  15. Mori K, Furuhashi M, Tanaka M, Numata K, Hisasue T, Hanawa N, et al. U-shaped relationship between serum uric acid level and decline in renal function during a 10-year period in female subjects: BOREAS-CKD2. Hypertens Res. 2021;44(1):107-16. https://doi.org/10.1038/s41440-020-0532-z.

    Article  PubMed  Google Scholar 

  16. Zhang L, Wang F, Wang X, Liu L, Wang H. The association between plasma uric acid and renal function decline in a chinese population-based cohort. Nephrol Dial Transplant. 2012;27(5):1836-9. https://doi.org/10.1093/ndt/gfr597.

    Article  CAS  PubMed  Google Scholar 

  17. Chang YH, Lei CC, Lin KC, Chang DM, Hsieh CH, Lee YJ. Serum uric acid level as an indicator for CKD regression and progression in patients with type 2 diabetes mellitus—a 4.6-year cohort study. Diabetes Metab Res Rev. 2016;32(6):557-64. https://doi.org/10.1002/dmrr.2768.

    Article  CAS  PubMed  Google Scholar 

  18. Zhang L, An K, Mou X. Effect of Urate-Lowering therapy on the progression of kidney function in patients with asymptomatic hyperuricemia: a systematic review and Meta-analysis. Front Pharmacol. 2022;12:795082. https://doi.org/10.3389/fphar.2021.795082.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Lee TH, Chen JJ, Wu CY, Yang CW, Yang HY. Hyperuricemia and progression of chronic kidney disease: a review from physiology and pathogenesis to the role of urate-lowering therapy. Diagnostics. 2021;11(9):1674. https://doi.org/10.3390/diagnostics11091674.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Le HT, Le TT, Tran NMT, Nguyen TTT, Minh NCS, Le QT, et al. Serum uric acid levels and risk of rapid decline of estimated glomerular filtration rate in patients with type 2 diabetes: findings from a 5-year prospective cohort study. Healthcare. 2021;9(10):1341. https://doi.org/10.3390/healthcare9101341.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Liu X, Wang Y, Wang C, Shi C, Cheng C, Chen J, et al. A new equation to estimate glomerular filtration rate in chinese elderly population. PLoS ONE. 2013;8(11):e79675. https://doi.org/10.1371/journal.pone.0079675.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Zhou W, Li Y, Ning Y, Gong S, Song N, Zhu B, et al. Social isolation is associated with rapid kidney function decline and the development of chronic kidney diseases in middle-aged and elderly adults: findings from the china health and retirement longitudinal study (CHARLS). Front Med (Lausanne). 2021;8:782624. https://doi.org/10.3389/fmed.2021.782624.

    Article  PubMed  Google Scholar 

  23. Gorski M, Jung B, Li Y, Matias-Garcia PR, Wuttke M, Coassin S, et al. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int. 2021;99(4):926-39. https://doi.org/10.1016/j.kint.2020.09.030.

    Article  CAS  PubMed  Google Scholar 

  24. Chen-Xu M, Yokose C, Rai SK, Pillinger MH, Choi HK. Contemporary prevalence of gout and hyperuricemia in the United States and decadal trends: the National Health and Nutrition Examination Survey, 2007-2016. Arthritis Rheumatol. 2019;71(6):991-9. https://doi.org/10.1002/art.40807.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Bardin T, Magnat E, Clerson P, Richette P, Rouchon B. Epidemiology of gout and hyperuricemia in New Caledonia. Joint Bone Spine. 2022;89(2):105286. https://doi.org/10.1016/j.jbspin.2021.105286.

    Article  CAS  PubMed  Google Scholar 

  26. Levey AS, Atkins R, Coresh J, Cohen EP, Collins AJ, Eckardt KU, et al. Chronic kidney disease as a global public health problem: approaches and initiatives-a position statement from kidney disease improving global outcomes. Kidney Int. 2007;72(3):247-59. https://doi.org/10.1038/sj.ki.5002343.

    Article  CAS  PubMed  Google Scholar 

  27. Russo E, Viazzi F, Pontremoli R, Barbagallo CM, Bombelli M, Casiglia E, et al. Working Group on UricAcid and Cardiovascular Risk of the italian society of hypertension. Association of uric acid with kidney function and albuminuria: the Uric Acid Right for heArt Health (URRAH) Project. J Nephrol. 2022 Jan;35(1):211-21. https://doi.org/10.1007/s40620-021-00985-4.

  28. Russo E, Viazzi F, Pontremoli R, Barbagallo CM, Bombelli M, Casiglia E et al. Serum Uric Acid and Kidney Disease Measures Independently Predict Cardiovascular and Total Mortality: The Uric Acid Right for Heart Health (URRAH) Project. Front Cardiovasc Med. 2021 Sep 27;8:713652. https://doi.org/10.3389/fcvm.2021.713652.

  29. Cao X, Wu L, Chen Z. The association between elevated serum uric acid level and an increased risk of renal function decline in a health check-up cohort in China. Int Urol Nephrol. 2018 Mar;50(3):517-25. https://doi.org/10.1007/s11255-017-1732-6. Epub 2017 Nov 1. PMID: 29094330.

  30. Filiopoulos V, Hadjiyannakos D, Vlassopoulos D. New insights into uric acid effects on the progression and prognosis of chronic kidney disease. Ren Fail. 2012;34(4):510-20. https://doi.org/10.3109/0886022X.2011.653753.

    Article  CAS  PubMed  Google Scholar 

  31. Piani F, Sasai F, Bjornstad P, Borghi C, Yoshimura A, Sanchez-Lozada LG, et al. Hyperuricemia and chronic kidney disease: to treat or not to treat. J Bras Nefrol. 2021;43:572-9. https://doi.org/10.1590/2175-8239-JBN-2020-U002.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kang DH, Nakagawa T, Feng L, Watanabe S, Han L, Mazzali M, et al. A role for uric acid in the progression of renal disease. J Am Soc Nephrol. 2002;13(12):2888-97. https://doi.org/10.1097/01.asn.0000034910.58454.fd.

    Article  CAS  PubMed  Google Scholar 

  33. Leoncini G, Barnini C, Manco L, Nobili G, Dotta D, Penso M, et al. Uric acid lowering for slowing CKD progression after the CKD-FIX trial: a solved question or still a dilemma? Clin Kidney J. 2022;15(9):1666-74. https://doi.org/10.1093/ckj/sfac075.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Maloberti A, Bombelli M, Facchetti R, Barbagallo CM, Bernardino B, Rosei EA et al. Working Group on Uric Acid, Cardiovascular Risk of the Italian Society of Hypertension (SIIA). Relationships between diuretic-related hyperuricemia and cardiovascular events: data from the URic acid Right for heArt Health study. J Hypertens. 2021 Feb 1;39(2):333-340. https://doi.org/10.1097/HJH.0000000000002600.

  35. Lv S, Zhang H, Chen J, Shen Z, Zhu C, Gu Y, et al. The effect of triglycerides to high-density lipoprotein cholesterol ratio on the reduction of renal function: findings from China health and retirement longitudinal study (CHARLS). Lipids Health Dis. 2021;20(1):110. https://doi.org/10.1186/s12944-021-01542-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Khoueiry G, Abdallah M, Saiful F, Abi Rafeh N, Raza M, Bhat T, et al. High-density lipoprotein in uremic patients: metabolism, impairment, and therapy. Int Urol Nephrol. 2014;46(1):27-39. https://doi.org/10.1007/s11255-012-0366-y.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

NL participated in conceived of the study, and draft the manuscript and performed the statistical analysis and Collecting information and entering data and participated in follow-up visits. XY participated in Collecting information and entering data. JW participated in Responsible for follow-up visits. YW participated in the design of the study and conceived of the study.ZW helped to draft the manuscript. HM participated in its design and coordination. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Huyati Mu.

Ethics declarations

Competing interests

Not applicable.

Ethics approval and consent to participate

All experiments were performed in accordance with the relevant guidelines and regulations of the Helsinki Declaration. The study was approved by the Ethics Committee of the First Affiliated Hospital of Xinjiang Medical University (approval no. K 202303-08). Since the study was conducted retrospectively with anonymous data, the Ethics Committee of the First Affiliated Hospital of Xinjiang Medical University waived the requirement for informed consent, and the investigator was granted access to the subjects’ data.

Consent for publication

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, N., Yang, X., Wu, J. et al. Correlation between the increase in serum uric acid and the rapid decline in kidney function in adults with normal kidney function: a retrospective study in Urumqi, China. BMC Nephrol 24, 103 (2023). https://doi.org/10.1186/s12882-023-03151-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12882-023-03151-z

Keywords