Next Article in Journal
Efficacy of Pulmonary Rehabilitation in Post-COVID-19: A Systematic Review and Meta-Analysis
Next Article in Special Issue
Biomarkers for Kidney-Transplant Rejection: A Short Review Study
Previous Article in Journal
Predictive Effects of FT3/FT4 on Diabetic Kidney Disease: An Exploratory Study on Hospitalized Euthyroid Patients with T2DM in China
Previous Article in Special Issue
Improved Survival Analyses Based on Characterized Time-Dependent Covariates to Predict Individual Chronic Kidney Disease Progression
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biomedicines
Volume 11
Issue 8
10.3390/biomedicines11082212
biomedicines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Elevated Uric Acid Levels with Early Chronic Kidney Disease as an Indicator of New-Onset Ischemic Heart Disease: A Cohort of Koreans without Diabetes

by
Sung-Bum Lee
1,
Hui-Jeong Lee
1,
Ha Eun Ryu
2,
Byoungjin Park
2,* and
Dong-Hyuk Jung
2,*
1
Department of Family Medicine, Soonchunhyang University Bucheon Hospital, Bucheon-si 22972, Republic of Korea
2
Department of Family Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
*
Authors to whom correspondence should be addressed.
Biomedicines 2023, 11(8), 2212; https://doi.org/10.3390/biomedicines11082212
Submission received: 29 June 2023 / Revised: 31 July 2023 / Accepted: 3 August 2023 / Published: 7 August 2023
(This article belongs to the Special Issue New Advances in Chronic Kidney Disease: Biology, Diagnosis and Therapy)
Browse Figures
Review Reports Versions Notes

Abstract

:
Several studies have showed that hyperuricemia is related to the development of ischemic heart disease (IHD). There is also growing evidence indicating that hyperuricemia may contribute to the progression of IHD as a pathogenic factor. Ironically, uric acid can be an antioxidant agent, as shown in experimental studies. The aim of our study is to analyse the association between uric acid and IHD with early-stage chronic kidney disease (CKD). Data were assessed from 17,492 participants without cardiovascular disease from the Korean Genome and Epidemiology Study (KoGES) and Korea Health Insurance Review and Assessment (HIRA) data. The subjects were categorized as four groups according to CKD and uric acid levels. We retrospectively evaluated hazard ratios (HRs) with 95% confidence intervals (CIs) for IHD by using multivariate Cox regression analysis over a 4-year period from the baseline survey. During the follow-up, 335 individuals (3.4%; 236 men and 99 women) developed IHD. Compared to the participants without elevated uric acid and early CKD HRs for incident IHD according to uric acid levels and early CKD, the uric acid level was 1.13 (95% CI, 0.86–1.48) in participants with elevated uric acid and without early CKD, 0.99 (95% CI, 0.55–1.77) in participants without elevated uric acid and with early CKD, and 1.65 (95% CI, 1.03–2.66) in participants with elevated uric acid and early CKD after adjusting for confounding metabolic factors. Early CKD and high uric acid levels increased the risk of new-onset IHD (HR, 1.65; 95% CI, 1.03–2.66). Elevated uric acid levels were related to an increased risk of incident IHD in early-stage CKD patients. It is expected that uric acid can be a reliable predictor for IHD, even in early-stage CKD patients; thus, in those with CKD, proactively managing uric acid levels can play a significant role in reducing the risk of cardiovascular disease.

1. Introduction

The prevalence of hyperuricemia has been on the rise over the decades; concomitantly, the burden of managing the disease is progressively growing. A study in the United Kingdom found that the overall prevalence of hyperuricemia had risen from 0.26% to 0.95% between 1970 and 1993 [1]. Furthermore, another study in the United States showed the prevalence of gout in elderly older than 75 years old had doubled from 2.1% to 4.1% between 1990 and 1999 [2]. Gout, which is clinical condition after sustained hyperuricemia, is estimated to impact 5.1 million people in the U.S., according to the Third National Health and Nutrition Survey (NHANES III) [3]. Furthermore, high uric acid levels are recognized as a risk factor of hypertension, diabetes, and metabolic syndrome, which are known risk factors for cardiovascular diseases (CVDs) [4,5,6]. Nevertheless, the mechanism and causality of the relationship between uric acid and CVDs are controversial because uric acid is strongly collinear with metabolic syndrome [7].
The early identification and correction of hyperuricemia is an important medical issue that has to be addressed before the progression to comorbidity that induces a range of complications [8]. However, many people are inclined to overlook elevated uric acid because individuals are often asymptomatic before progressing to gout.
Early CKD is an important public health problem even before progression to advanced stages and ultimately ESRD, which can cause a series of complications such as anaemia and bone and mineral metabolism disorder [9]. Nevertheless, it is easy to neglect early CKD and hyperuricemia as they are often asymptomatic. In NHANES III, only 8% of patients knew about their condition [10].
Hyperuricemia is more common in patients with CKD than in those without CKD because hyperuricemia and CKD share common risk factors: obesity, hypertension, dyslipidemia, and diabetes [11,12]. In spite of the potential link between uric acid and early CKD regarding ischemic heart disease (IHD), few studies have shown a causal relationship between cardiovascular risks and uric acid and CKD because of the similarity in well-known risk factors. Consequently, we retrospectively investigated the combined impact of increased uric acid levels and early CKD on new-onset IHD risk in a large-scale cohort of Koreans without diabetes.

2. Materials and Methods

2.1. Study Design and Participants

This study aimed to investigate surrogate indicators for IHD among Korean adults using data from the Health Insurance Review and Assessment Service (HERAS-HIRA dataset) based on health-risk-assessment studies. The cohort data included 20,530 participants who were sequentially enrolled during their voluntary visits to the Health Promotion Centre at Gangnam Severance Hospital, Yonsei University College of Medicine, for a health check-up between November 2006 and June 2010. After the initial assessment of subjects, we excluded 1590 (7.7%) individuals who had a history of IHD or stroke, previously diagnosed type 2 diabetes, or a fasting plasma glucose (FPG) level equal to or greater than 126 mg/dL. Participants meeting any of the following criteria were also excluded from the study: age younger than 20 years, C-reactive protein (CRP) level ≥ 5.0 mg/L, chronic kidney disease G3b-5, missing data, or currently taking aspirin (n = 1448). After applying these exclusion criteria, the final analysis included 17,492 participants (8822 men and 8670 women), as shown in Figure 1. This study was performed in accordance with the ethical principles of the Declaration of Helsinki and was approved by the Institutional Review Board (IRB) of Yonsei University College of Medicine, Seoul, Korea (reference number: 2015-32-0009). The HERAS and HIRA datasets which were used in our study are available from the corresponding author upon reasonable request.

2.2. Data Collection

All participants completed a comprehensive questionnaire regarding their lifestyle and medical history. Information on self-reported cigarette smoking, alcohol consumption, and physical activity was collected from these questionnaires. Smoking status was classified as never smoker, ex-smoker, or current smoker. Regular alcohol intake was defined as consuming ≥140 g of alcohol per week [13]. Participants provided information about their level of physical activity, and regular exercise was regarded as physical activity of either moderate or vigorous intensity more than or equal three times per week [14]. Systolic and diastolic blood pressure was measured on the participant’s right arm by using a standard mercury sphygmomanometer while they were in a seated position after a 10 min rest (Baumanometer, W.A. Baum Co., Inc., Copiague, NY, USA). Blood samples were obtained from the antecubital vein after a 12 h overnight fast, and total cholesterol, triglyceride, high-density lipoprotein cholesterol, and liver enzymes were measured by enzymatic methods using a Hitachi 7600 automated chemistry analyser (Hitachi Co., Tokyo, Japan). The CRP concentrations were collected with a Roche/Hitachi 912 System (Roche Diagnostics, Indianapolis, IN, USA) using a latex-enhanced immunoturbidimetric method. Hypertension was defined as a systolic blood pressure of more than or equal 140 mmHg, diastolic blood pressure of more than or equal 90 mmHg, or the current use of anti-hypertensive medication [15].

2.3. Chronic Kidney Disease

Chronic kidney disease (CKD) was defined as an estimated glomerular filtration rate (eGFR) lower than 60 mL/min/1.73 m2. The eGFR was calculated utilizing the abbreviated equation derived from the Modification of Diet in Renal Disease (MDRD) study: 186.3 × serum creatinine−1.154 × age−0.203 × 0.742 (if a woman) or proteinuria ≥ 1+ [16]. CKD stage 1 was defined when the eGFR was 90 or more and proteinuria of 1 or more. CKD stage 2 was defined as cases with an eGFR between 60 and less than 90 and proteinuria of 1 or more. CKD stage 3a was defined as cases with an eGFR between 45 and less than 60 regardless of the presence of proteinuria [17].

2.4. Study Outcomes

The study focused on evaluating the outcome of ischemic heart disease (IHD), which encompassed angina (ICD-10 code I20) or acute myocardial infarction (ICD-10 code I21) occurring after the participants’ initial enrolment in the study. To establish baseline and follow-up survey outcomes, we connected each subject’s personal identification number with the available HIRA data in South Korea from November 2006 to December 2010.

2.5. Statistical Analysis

We classified the participants into uric acid control and elevated uric acid groups based on the 75th percentile with a threshold of more than or equal 6.5 mg/dL in men and more than or equal 4.6 mg/dL in women, respectively [18]. Then, we subdivided the study participants into four groups: no early CKD and control of uric acid (Group 1), no early CKD and high uric acid (Group 2), early CKD and control of uric acid (Group 3), and early CKD and elevated uric acid (Group 4). Analysis of variance (ANOVA) was used for continuous variables to compare the baseline characteristics of the participants in each group, while the chi-square test was utilised for categorical variables. Age- and sex-adjusted survival curves were employed to compute the cumulative incidence of ischemic heart disease (IHD) for each group. Regarding Group 1 as the reference group, we calculated hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) for IHD through multivariate Cox proportional hazards regression analysis. These models were adjusted for potential confounding variables. In order to assess the combined effect, we conducted a comparative analysis of the hazard ratio (HR) considering the presence of each factor individually and in combination among all participants. All statistical analyses were conducted using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). All statistical tests were two-sided, and p-values less than 0.05 were regarded as statistically significant.

3. Results

Table 1 suggests the baseline characteristics of the participants according to early CKD and elevated uric acid. A total of 17,492 participants were finally included in our study. There are a total of 16,452 participants without CKD and 1040 participants with early CKD. The average age and BMI of the overall study population were 44.8 ± 10.5 years and 23.2 ± 3.0 kg/m2, respectively. The average uric acid level of the participants was 5.0 ± 1.4 mg/dL, and the average of estimated glomerular filtration rate (eGFR) of the overall participants was 83.8 ± 13.5 mL/min/1.73 m2. The subjects were subdivided into two groups according to the existence of early CKD. The percentages of early CKD stage 1-3a prevalence were, respectively, categorized as follows: 0.9% for stage 1, 3.2% for stage 2, and 1.9% for stage 3a. Regardless of the presence of early CKD, significant differences were observed based on uric acid levels. The high uric acid group showed higher levels of the male sex, BMI, systolic blood pressure, diastolic blood pressure, FPG, total cholesterol, triglyceride, and CRP compared to the control group (p < 0.001). Conversely, the elevated uric acid groups had lower levels of high-density lipoprotein (HDL) cholesterol and eGFR values (p < 0.001). Lifestyle factors such as smoking and alcohol drinking exhibited significant differences among groups (p < 0.001), while regular exercise did not differ significantly (p = 0.861). Furthermore, the elevated uric acid groups had a higher prevalence of hypertension and impaired fasting glucose compared to the control group (p < 0.001).
Table 2 suggests the results of the multivariate Cox proportional hazards regression analysis for the prediction of new-onset IHD according to uric acid levels and early CKD. A total of 335 individuals (3.4%) incurred IHD during the follow-up period. The incidence rate (per 1000 people years) of IHD showed a clear increasing trend, with higher rates observed in individuals with early CKD and elevated uric acid levels. Notably, in Model 3, which accounted for various covariates including smoking history, alcohol history, physical activity, blood pressure, fasting plasma glucose, total cholesterol, hypertension, and dyslipidemia, the elevated uric acid group with early CKD had a significantly higher hazard ratio of 1.65 (95% CI: 1.03–2.66) compared to the control group with no early CKD, indicating an increased risk of developing IHD. On the other hand, HRs (95% CI) for incident IHD were 1.13 (0.86–1.48) for the elevated uric acid group without CKD and 0.99 (0.55–1.77) for the control uric acid group with early CKD, which were statistically insignificant.
Multivariate Cox proportional hazards regression analysis was also conducted for the prediction of IHD according to early CKD, high uric acid, and their combination, as shown in Table 3. In Model 3, accounting for various potentially confounding variables, it showed statistical insignificance in the incidence of IHD between the CKD and elevated uric acid groups when compared to their respective control groups. Figure 2 illustrates the incidence of IHD across four groups distinguished by the control or elevation of uric acid levels and the presence or absence of early CKD. The incidence of IHD was highest in Group 4 (elevated uric acid with early CKD), followed by Group 3 (controlled uric acid with early CKD). Group 2 (elevated uric acid without CKD) had a lower incidence of IHD compared to the previous groups but a higher incidence than Group 1 (control of uric acid without CKD).

4. Discussion

In these large retrospective cohort data, high uric acid levels with early CKD could predict incident IHD among individuals without diabetes. Uric acid was an independent indicator of IHD irrespective of age, sex, body mass index, smoking status, alcohol intake, and physical activity.
The association of uric acid with cardiovascular disease is widely recognized. Several studies have found the relationship between uric acid and cardiovascular disease [19,20]. However, it has not been definitely proposed if uric acid is an indicator for risk in cardiovascular disease or if treatment lowering uric acid affects outcomes. Although uric acid has an independent correlation with cardiovascular risk, Dobson et al. argued that the association was due to uric acid being strongly collinear with traditional cardiovascular risk (i.e., metabolic syndrome) [7]. The other study showed that pathophysiology and outcomes for the association of uric acid with cardiovascular disease remain controversial [21]. However, we found a relationship between elevated uric acid and CKD and IHD in a large number of subjects over 4 years of follow-up. Furthermore, the association still remained significant despite adjusting for mean arterial blood pressure, fasting plasma glucose, total cholesterol, hypertension medication, and dyslipidemia medication, which are the primary determinants of metabolic syndrome. Specifically, we revealed that the uric acid level in early CKD patients was significantly associated with IHD, although the association of uric acid with IHD remained insignificant.
Uric acid could serve as an indicator for the development of both metabolic syndrome and cardiovascular disease associated with oxidative stress, although uric acid is known to be a major antioxidant in human plasma [22,23]. It is known that uric acid can scavenge oxygen radicals and protect the erythrocyte membrane from lipid oxidation [24]. However, the impact of uric acid was observed under particular circumstances in which exogenously introduced uric acid protected cells from oxidants. These oxidants were also added externally to the aqueous incubation media. Furthermore, even the plasma urate can inhibit lipid peroxidation only as long as ascorbic acid is present [25]. Paradoxically, uric acid might function either as an antioxidant (in plasma) or pro-oxidant (within the cell) [22]. The hydrophobic environment induced by lipids is adverse to the antioxidant effects of uric acid [26], and event-oxidised lipids can change uric acid into an oxidant [27]. Furthermore, many studies address that the entry of uric acid into cells is related to a decrease in NO bioavailability [28,29], which can induce endothelial dysfunction. In other words, increased serum uric acid has also been shown to cause arteriolar disease in the kidney, which can cause CKD [30]. In turn, increased levels of serum uric acid have been consistently recognized as a powerful independent indicator of hypertension in many studies [31,32,33]. Moreover, the occurrence of hypertension is avoidable by lowering uric acid levels [34]. Accordingly, uric acid increases the risk of IHD because of its contribution to hypertension [35]. Even though it is demanding to prove whether elevated uric acid and early CKD synergistically contribute to the development of IHD, it can be inferred that the patients with hyperuricemia and early CKD have been exposed to prolonged exposure to high levels of uric acid.
In spite of the extensive cohort study, there were several limitations to our research. First, this study did not include the effect of changes in uric acid levels and CKD stage, which could impact the new-onset IHD during the follow-up period. Second, the types of hypertensive medication were not considered (e.g., calcium channel blocker, angiotensin-converting enzyme inhibitor, and angiotensin receptor blocker). The variables which could differentially affect IHD were not perfectly adjusted for in the statistical models [36]. Furthermore, there are no data available on anti-hyperuricemic medication history, which could affect uric acid level. Fourth, the urine dipstick test is a qualitative test unlike 24 h urine collection. Furthermore, because there are no data for the urinary albumin-to-creatinine ratio, it can miss albuminuria which is a determinant of CKD. Finally, the study population did not exactly reflect the overall Korean population. Individuals who participated in health check-up programs are commonly concerned about their health issues, leading to a selection bias.

5. Conclusions

In summary, increased uric acid levels could be used to estimate the occurrence of IHD in patients with CKD in stages even earlier than G3a. The appropriate detection of both uric acid levels and CKD, even in the earlier stages, is essential to deter the development of IHD. In other words, if the uric acid level is 6.5 mg/dL or higher in a male with early CKD, and 4.6 mg/dL or higher in a female with early CKD, proper management is recommended in order to inhibit the occurrence of IHD. Further studies are needed to clarify the direct association of uric acid with CKD.

Author Contributions

Conceptualisation, D.-H.J. and B.P.; methodology, B.P.; investigation, D.-H.J.; data curation, B.P.; writing—original draft preparation, S.-B.L. and H.E.R.; writing—review and editing, H.-J.L.; supervision, D.-H.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study involving human participants was conducted in accordance with the ethical principles of the Declaration of Helsinki and was approved by the Institutional Review Board of Yonsei University College of Medicine, Seoul, Republic of Korea (2015-32-0009).

Informed Consent Statement

Informed consent was obtained from all subjects to participate in this study.

Data Availability Statement

The datasets used and analysed in the current study are available from the corresponding author on reasonable request.

Acknowledgments

The authors would like to thank the Health Insurance Review and Assessment Services (HIRA) for their cooperation. We are especially grateful to Miryung Kim for imparting her invaluable nephrology medicine knowledge. Furthermore, we thank Ji-Eun Moon who gave statistical advice.

Conflicts of Interest

All the authors declare that the study was performed without any commercial or financial association that might be perceived as a potential conflict of interest.

References

  1. Harris, C.M.; Lloyd, D.C.; Lewis, J. The prevalence and prophylaxis of gout in england. J. Clin. Epidemiol. 1995, 48, 1153–1158. [Google Scholar] [CrossRef] [PubMed]
  2. Luk, A.J.; Simkin, P.A. Epidemiology of hyperuricemia and gout. Am. J. Manag. Care 2005, 11, S435–S442. [Google Scholar] [PubMed]
  3. Wallace, K.L.; Riedel, A.A.; Joseph-Ridge, N.; Wortmann, R. Increasing prevalence of gout and hyperuricemia over 10 years among older adults in a managed care population. J. Rheumatol. 2004, 31, 1582–1587. [Google Scholar] [PubMed]
  4. Kushiyama, A.; Tanaka, K.; Hara, S.; Kawazu, S. Linking uric acid metabolism to diabetic complications. World J. Diabetes 2014, 5, 787. [Google Scholar] [CrossRef] [PubMed]
  5. Zoccali, C.; Mallamaci, F. Uric acid, hypertension, and cardiovascular and renal complications. Curr. Hypertens. Rep. 2013, 15, 531–537. [Google Scholar] [CrossRef]
  6. Kim, H.W.; Yoon, E.-J.; Jeong, S.H.; Park, M.-C. Distinct gut microbiota in patients with asymptomatic hyperuricemia: A potential protector against gout development. Yonsei Med. J. 2022, 63, 241. [Google Scholar] [CrossRef]
  7. Dobson, A. Is raised serum uric acid a cause of cardiovascular disease or death? Lancet 1999, 354, 1578. [Google Scholar] [CrossRef]
  8. Xiong, Q.; Liu, J.; Xu, Y. Effects of uric acid on diabetes mellitus and its chronic complications. Int. J. Endocrinol. 2019, 2019, 9691345. [Google Scholar] [CrossRef] [Green Version]
  9. Chen, J.-H.; Tsai, C.-C.; Liu, Y.-H.; Wu, P.-Y.; Huang, J.-C.; Chung, T.-L.; Su, H.-M.; Chen, S.-C. Sex difference in the associations among hyperuricemia with new-onset chronic kidney disease in a large taiwanese population follow-up study. Nutrients 2022, 14, 3832. [Google Scholar] [CrossRef]
  10. Coresh, J.; Byrd-Holt, D.; Astor, B.C.; Briggs, J.P.; Eggers, P.W.; Lacher, D.A.; Hostetter, T.H. Chronic kidney disease awareness, prevalence, and trends among us adults, 1999 to 2000. J. Am. Soc. Nephrol. 2005, 16, 180–188. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Dai, H.; Lu, S.; Tang, X.; Lu, M.; Chen, R.; Chen, Z.; Yang, P.; Liu, C.; Zhou, H.; Lu, Y. Combined association of serum uric acid and metabolic syndrome with chronic kidney disease in hypertensive patients. Kidney Blood Press. Res. 2016, 41, 413–423. [Google Scholar] [CrossRef] [PubMed]
  12. Oku, F.; Hara, A.; Tsujiguchi, H.; Suzuki, K.; Pham, K.-O.; Suzuki, F.; Miyagi, S.; Nakamura, M.; Takazawa, C.; Sato, K. Association between dietary fat intake and hyperuricemia in men with chronic kidney disease. Nutrients 2022, 14, 2637. [Google Scholar] [CrossRef] [PubMed]
  13. Kim, T.-J.; Lee, J.-w.; Kang, H.-T.; Cho, M.-C.; Lim, H.-J.; Kim, J.-Y.; Bae, J.-W.; Lee, Y.-J.; Lee, S.-H.; Linton, J.A. Trends in blood pressure and prevalence of hypertension in korean adults based on the 1998–2014 knhanes. Yonsei Med. J. 2018, 59, 356–365. [Google Scholar] [CrossRef] [PubMed]
  14. Kim, S.; Choi, S.; Kim, J.; Park, S.; Kim, Y.; Park, O.; Oh, K. Trends in health behaviors over 20 years: Findings from the 1998-2018 korea national health and nutrition examination survey. Epidemiol. Health 2021, 43, e2021026. [Google Scholar] [CrossRef]
  15. Chobanian, A.V. National heart, lung, and blood institute joint national committee on prevention, detection, evaluation, and treatment of high blood pressure; national high blood pressure education program coordinating committee. The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: The jnc 7 report. JAMA 2003, 289, 2560–2572. [Google Scholar]
  16. Lee, S.-B.; Park, B.-J.; Lee, Y.-J.; Jung, D.-H. Early chronic kidney disease (g1-g3a) in combination with steatosis as a predictor of incident ischemic heart disease: A longitudinal study in non-diabetic koreans. Biomedicines 2021, 9, 1358. [Google Scholar] [CrossRef]
  17. Improving Global Outcomes (KDIGO) Diabetes Work Group. Kdigo 2022 clinical practice guideline for diabetes management in chronic kidney disease. Kidney Int. 2022, 102, S1–S127. [Google Scholar]
  18. Latourte, A.; Soumaré, A.; Bardin, T.; Perez-Ruiz, F.; Debette, S.; Richette, P. Uric acid and incident dementia over 12 years of follow-up: A population-based cohort study. Ann. Rheum. Dis. 2018, 77, 328–335. [Google Scholar] [CrossRef]
  19. Gagliardi, A.C.; Miname, M.H.; Santos, R.D. Uric acid: A marker of increased cardiovascular risk. Atherosclerosis 2009, 202, 11–17. [Google Scholar] [CrossRef]
  20. Kanbay, M.; Segal, M.; Afsar, B.; Kang, D.-H.; Rodriguez-Iturbe, B.; Johnson, R.J. The role of uric acid in the pathogenesis of human cardiovascular disease. Heart 2013, 99, 759–766. [Google Scholar] [CrossRef] [Green Version]
  21. Culleton, B.F.; Larson, M.G.; Kannel, W.B.; Levy, D. Serum uric acid and risk for cardiovascular disease and death: The framingham heart study. Ann. Intern. Med. 1999, 131, 7–13. [Google Scholar] [CrossRef]
  22. Sautin, Y.Y.; Johnson, R.J. Uric acid: The oxidant-antioxidant paradox. Nucleosides Nucleotides Nucleic Acids 2008, 27, 608–619. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Borghi, C.; Agnoletti, D.; Cicero, A.F.G.; Lurbe, E.; Virdis, A. Uric acid and hypertension: A review of evidence and future perspectives for the management of cardiovascular risk. Hypertension 2022, 79, 1927–1936. [Google Scholar] [CrossRef] [PubMed]
  24. Ames, B.N.; Cathcart, R.; Schwiers, E.; Hochstein, P. Uric acid provides an antioxidant defense in humans against oxidant-and radical-caused aging and cancer: A hypothesis. Proc. Natl. Acad. Sci. USA 1981, 78, 6858–6862. [Google Scholar] [CrossRef] [PubMed]
  25. Frei, B.; Stocker, R.; Ames, B.N. Antioxidant defenses and lipid peroxidation in human blood plasma. Proc. Natl. Acad. Sci. USA 1988, 85, 9748–9752. [Google Scholar] [CrossRef] [PubMed]
  26. Muraoka, S.; Miura, T. Inhibition by uric acid of free radicals that damage biological molecules. Pharmacol. Toxicol. 2003, 93, 284–289. [Google Scholar] [CrossRef]
  27. Bagnati, M.; Perugini, C.; Cau, C.; Bordone, R.; Albano, E.; Bellomo, G. When and why a water-soluble antioxidant becomes pro-oxidant during copper-induced low-density lipoprotein oxidation: A study using uric acid. Biochem. J. 1999, 340, 143–152. [Google Scholar] [CrossRef]
  28. Sautin, Y.Y.; Nakagawa, T.; Zharikov, S.; Johnson, R.J. Adverse effects of the classic antioxidant uric acid in adipocytes: Nadph oxidase-mediated oxidative/nitrosative stress. Am. J. Physiol.-Cell Physiol. 2007, 293, C584–C596. [Google Scholar] [CrossRef] [Green Version]
  29. Gersch, C.; Palii, S.P.; Kim, K.M.; Angerhofer, A.; Johnson, R.J.; Henderson, G.N. Inactivation of nitric oxide by uric acid. Nucleosides Nucleotides Nucleic Acids 2008, 27, 967–978. [Google Scholar] [CrossRef]
  30. Sanchez-Lozada, L.G.; Tapia, E.; Santamaria, J.; Avila-Casado, C.; Soto, V.; Nepomuceno, T.; Rodriguez-Iturbe, B.; Johnson, R.J.; Herrera-Acosta, J. Mild hyperuricemia induces vasoconstriction and maintains glomerular hypertension in normal and remnant kidney rats. Kidney Int. 2005, 67, 237–247. [Google Scholar] [CrossRef] [Green Version]
  31. Jossa, F.; Farinaro, E.; Panico, S.; Krogh, V.; Celentano, E.; Galasso, R.; Mancini, M.; Trevisan, M. Serum uric acid and hypertension: The olivetti heart study. J. Hum. Hypertens. 1994, 8, 677–681. [Google Scholar] [PubMed]
  32. Taniguchi, Y.; Hayashi, T.; Tsumura, K.; Endo, G.; Fujii, S.; Okada, K. Serum uric acid and the risk for hypertension and type 2 diabetes in japanese men: The osaka health survey. J. Hypertens. 2001, 19, 1209–1215. [Google Scholar] [CrossRef] [PubMed]
  33. Choi, Y.-S.; Hwang, J.; Lee, M.-J.; Lee, J.-H.; Youn, H.-J. Review of north korean reports on cardiovascular disease research and management. Yonsei Med. J. 2023, 64, 309. [Google Scholar] [CrossRef]
  34. Mazzali, M.; Hughes, J.; Kim, Y.-G.; Jefferson, J.A.; Kang, D.-H.; Gordon, K.L.; Lan, H.Y.; Kivlighn, S.; Johnson, R.J. Elevated uric acid increases blood pressure in the rat by a novel crystal-independent mechanism. Hypertension 2001, 38, 1101–1106. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Lee, Y.-J.; Park, B.; Hong, K.-W.; Jung, D.-H. Gallbladder polyps increase the risk of ischaemic heart disease among korean adults. Front. Med. 2021, 8, 693245. [Google Scholar] [CrossRef] [PubMed]
  36. Jeong, H.S.; Lim, H.S.; Park, H.-J.; Lee, W.-S.; Choi, J.-O.; Lee, H.S.; Jo, S.-H.; Hong, S.J. Clinical outcomes between calcium channel blockers and angiotensin receptor blockers in hypertensive patients without established cardiovascular diseases during a 3-year follow-up. Sci. Rep. 2021, 11, 1783. [Google Scholar] [CrossRef]
Biomedicines 11 02212 g001
Figure 1. Flow diagram meeting the criteria for the selection of study participants. Abbreviations: CKD, chronic kidney disease.
Figure 1. Flow diagram meeting the criteria for the selection of study participants. Abbreviations: CKD, chronic kidney disease.
Biomedicines 11 02212 g001
Biomedicines 11 02212 g002
Figure 2. Cox regression cumulative incidence curve for ischemic heart disease. Group 1, control of uric acid without CKD; Group 2, elevated uric acid without CKD; Group 3, control of uric acid with early CKD; Group 4, elevated uric acid with early CKD.
Figure 2. Cox regression cumulative incidence curve for ischemic heart disease. Group 1, control of uric acid without CKD; Group 2, elevated uric acid without CKD; Group 3, control of uric acid with early CKD; Group 4, elevated uric acid with early CKD.
Biomedicines 11 02212 g002
Table 1. Baseline characteristics of the study population.
Table 1. Baseline characteristics of the study population.
VariablesOverallNo CKDEarly CKD (G1-G3a)p Value aPost Hoc b
Control of Uric AcidElevated Uric Acid Control of Uric AcidElevated Uric Acid
Number of participants, n17,49212,2574,195607433
Age (years)44.8 ± 10.544.7 ± 10.344.5 ± 10.846.9 ± 11.848.1 ± 12.1<0.001b,c,d,e
Male sex (%)50.449.551.457.758.4<0.001-
BMI (kg/m2)23.2 ± 3.022.9 ± 2.924.2 ± 3.222.8 ± 3.124.2 ± 3.1<0.001a,c,d,f
Systolic BP (mmHg)121.6 ± 15.4120.4 ± 15.2124.1 ± 15.6123.3 ± 16.2127.2 ± 16.1<0.001a,b,c,d,e,f
Diastolic BP (mmHg)75.8 ± 10.175.1 ± 9.977.6 ± 10.177.0 ± 10.579.7 ± 10.2<0.001a,b,c,e,f
FPG (mg/dL)91.0 ± 9.790.5 ± 9.392.4 ± 10.391.7 ± 10.994.0 ± 11.5<0.001a,b,c,e,f
Total cholesterol (mg/dL)189.0 ± 33.5185.8 ± 32.4196.5 ± 34.6193.5 ± 34.4201.5 ± 36.7<0.001a,b,c,e,f
Triglyceride (mg/dL)122.6 ± 84.9113.8 ± 78.7145.0 ± 95.5121.7 ± 86.9156.7 ± 94.0<0.001a,b,c,e,f
HDL-cholesterol (mg/dL)53.7 ± 12.754.4 ± 12.751.8 ± 12.454.5 ± 14.051.4 ± 13.9<0.001a,c,d,f
C-reactive protein (mg/L)0.9 ± 0.90.8 ± 0.81.1 ± 1.01.0 ± 1.01.2 ± 1.1<0.001a,b,c,d,e,f
Uric acid (mg/dL)5.0 ± 1.44.5 ± 1.16.2 ± 1.24.7 ± 1.06.6 ± 1.3<0.001a,b,c,d,e,f
eGFR (mL/min/1.73 m2)83.8 ± 13.585.5 ± 13.281.1 ± 11.976.9 ± 15.769.0 ± 14.5<0.001a,b,c,d,e,f
Current smoker (%)24.423.027.628.726.0<0.001-
Alcohol drinking (%) c43.642.845.442.950.2<0.001-
Regular exercise (%) d30.530.730.031.330.5 0.861-
Impaired fasting glucose (%)17.114.921.719.830.0<0.001-
Hypertension (%)19.817.025.724.138.1<0.001-
Note: BMI, body mass index; BP, blood pressure; FPG, fasting plasma glucose; HDL, high-density lipoprotein; eGFR, estimated glomerular filtration rate. a p values were calculated using one-way ANOVA or Pearson’s chi-square test. b Post hoc analysis with the Bonferroni method for mean differences between groups: a, Group 1 versus Group 2; b, Group 1 versus Group 3, c: Group 1 versus Group 4; d, Group 2 versus Group 3; e, Group 2 versus Group 4, and f, Group 3 versus Group 4. c Alcohol intake ≥ 140 g/week. d Moderate-intensity physical exercise ≥ three times/week.
Table 2. Hazard ratios and 95% confidence intervals for new-onset ischemic heart diseases.
Table 2. Hazard ratios and 95% confidence intervals for new-onset ischemic heart diseases.
No Early CKDEarly CKD (G1-G3a)p for Trend
Control of Uric AcidElevated Uric AcidControl of Uric AcidElevated Uric Acid
New cases of ischemic heart disease, n209881622
Mean follow-up, years2.4 ± 1.12.3 ± 1.12.3 ± 0.92.3 ± 1.0
Pearson years of follow-up29,111980813931008
Incidence rate/1000 person years7.29.011.521.8
Model 1HR (95% CI)1.001.28 (0.99–1.64)1.24 (0.75–2.07)2.22 (1.42–3.45)0.002
p value 0.0520.406<0.001
Model 2HR (95% CI)1.001.26 (0.97–1.65)1.03 (0.58–1.85)2.10 (1.32–3.35)0.011
p value 0.0880.9150.001
Model 3HR (95% CI)1.001.13 (0.86–1.48)0.99 (0.55–1.77)1.65 (1.03–2.66)0.205
p value 0.3780.9590.038
Model 1: adjusted for age and sex. Model 2: adjusted for age, sex, body mass index, smoking status, alcohol intake, and physical activity. Model 3: adjusted for age, sex, body mass index, smoking status, alcohol intake, physical activity, mean arterial blood pressure, fasting plasma glucose, total cholesterol, hypertension medication, and dyslipidemia medication.
Table 3. Hazard ratios and 95% confidence intervals for new-onset ischemic heart disease according to early CKD, high uric acid, and their combination.
Table 3. Hazard ratios and 95% confidence intervals for new-onset ischemic heart disease according to early CKD, high uric acid, and their combination.
No Early CKDEarly CKDControl of Uric AcidElevated Uric AcidControl of Uric Acid with No Early CKDElevated Uric Acid with Early CKD
New cases of ischemic heart disease, n29738 225 11020922
Mean follow-up, years2.4 ± 1.12.3 ± 0.92.4 ± 1.12.3 ± 1.12.4 ± 1.12.3 ± 1.0
Pearson years of follow-up38,919240130.50410,81629,1111008
Incidence rate/1000
person years		7.615.8 7.410.27.221.8
Model 1HR (95% CI)1.001.56 (1.11–2.19)1.001.38 (1.10–1.73)1.002.22 (1.42–3.45)
p value 0.010 0.005 <0.001
Model 2HR (95% CI)1.001.42 (0.98–2.05)1.001.37 (1.07–1.75)1.002.10 (1.32–3.35)
p value 0.063 0.012 0.001
Model 3HR (95% CI)1.001.26 (0.87–1.83)1.001.20 (0.94–1.55)1.001.65 (1.03–2.66)
p value 0.219 0.148 0.038
Model 1: adjusted for age and sex. Model 2: adjusted for age, sex, body mass index, smoking status, alcohol intake, and physical activity. Model 3: adjusted for age, sex, body mass index, smoking status, alcohol intake, physical activity, mean arterial blood pressure, fasting plasma glucose, total cholesterol, hypertension medication, and dyslipidemia medication.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Lee, S.-B.; Lee, H.-J.; Ryu, H.E.; Park, B.; Jung, D.-H. Elevated Uric Acid Levels with Early Chronic Kidney Disease as an Indicator of New-Onset Ischemic Heart Disease: A Cohort of Koreans without Diabetes. Biomedicines 2023, 11, 2212. https://doi.org/10.3390/biomedicines11082212

AMA Style

Lee S-B, Lee H-J, Ryu HE, Park B, Jung D-H. Elevated Uric Acid Levels with Early Chronic Kidney Disease as an Indicator of New-Onset Ischemic Heart Disease: A Cohort of Koreans without Diabetes. Biomedicines. 2023; 11(8):2212. https://doi.org/10.3390/biomedicines11082212

Chicago/Turabian Style

Lee, Sung-Bum, Hui-Jeong Lee, Ha Eun Ryu, Byoungjin Park, and Dong-Hyuk Jung. 2023. "Elevated Uric Acid Levels with Early Chronic Kidney Disease as an Indicator of New-Onset Ischemic Heart Disease: A Cohort of Koreans without Diabetes" Biomedicines 11, no. 8: 2212. https://doi.org/10.3390/biomedicines11082212

APA Style

Lee, S. -B., Lee, H. -J., Ryu, H. E., Park, B., & Jung, D. -H. (2023). Elevated Uric Acid Levels with Early Chronic Kidney Disease as an Indicator of New-Onset Ischemic Heart Disease: A Cohort of Koreans without Diabetes. Biomedicines, 11(8), 2212. https://doi.org/10.3390/biomedicines11082212

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop