Elsevier

Atherosclerosis

Volume 221, Issue 1, March 2012, Pages 183-188
Atherosclerosis

Uric acid is not an independent predictor of cardiovascular mortality in type 2 diabetes: A population-based study

https://doi.org/10.1016/j.atherosclerosis.2011.11.042Get rights and content

Abstract

Objective

Although some studies have suggested that uric acid is a risk factor for mortality, this relationship is still uncertain in people with type 2 diabetes.

Methods

The study base was the population-based cohort of 1540 diabetic subjects (median age 68.9 years) of the Casale Monferrato Study. The role of serum uric acid on 15-years all-cause, cardiovascular and non-cardiovascular mortality was assessed by multivariate Cox proportional hazards modeling.

Results

Baseline levels of serum uric acid were negatively correlated with HbA1c, were higher in men and in the elderly and were independently associated with components of the metabolic syndrome. Out of 14,179 person-years, 1000 deaths (514 due to cardiovascular diseases) were observed. Compared to the lower quartile of uric acid, HRs (95% CI) in the upper quartile were 1.47 (1.22–1.76) for all-cause mortality; 1.40 (1.09–1.80) for cardiovascular mortality and 1.50 (1.15–1.96) for non-cardiovascular mortality. In multiple adjusted models, however, HRs were 1.30 (1.06–1.60) for all-cause mortality, 1.13 (0.85–1.50) for cardiovascular mortality and 1.50 (1.11–2.02) for non-cardiovascular mortality (men 1.87, 1.19–2.95; women 1.20, 0.80–1.80); the latter appeared to be due to neoplastic diseases (HR in all combined quartiles vs. lower quartile: both sexes 1.59, 1.05–2.40; men 1.54, 0.83–2.84, women 1.68, 0.95–2.92).

Conclusions

In diabetic people, uric acid is associated with components of the metabolic syndrome but it may not be accounted as an independent risk factor for cardiovascular mortality. The increased all-cause mortality risk with higher levels of uric acid might be due to increased neoplastic mortality and deserves future studies.

Section snippets

Materials and methods

The study-base included 1540 patients with known type 2 diabetes who were residents in the town of Casale Monferrato in 1991, North-West of Italy (93,477 inhabitants), were invited to a baseline examination in 1991–92 to assess the prevalence of diabetic nephropathy and cardiovascular risk factors and were then followed up to 31/12/2006 [14], [15], [16]. They were identified in the first prevalence survey of the Casale Monferrato Study, using multiple independent data sources (diabetes clinics,

Statistical analysis

Normally distributed variables are presented as means ± standard deviation (SD), whereas variables with skewed distribution were analyzed after logarithmic transformation (triglycerides, AER, creatinine) and results presented as geometric means and 95% CIs. Differences in clinical characteristics of patients were assessed by the ANOVA test for continuous variables and χ2 test for categorical ones. Pearson's correlation coefficients for serum uric acid and continuous variables were also

Results

Measurements of serum uric acid were available for 1509 of 1540 diabetic people of the Casale Monferrato cohort, with mean value 321.79 ± 99.33 μmol/l. Sex differences in serum uric acid were evident, with higher values in men than in women (p < 0.001), even after adjustment for age, BMI, blood pressure and eGFR (330.11 μmol/l, 95% CI 322.98–337.85 vs. 314.65 μmol/l, 95% CI 308.11–321.19). Frequency of clinically relevant hyperuricemia (values higher than 416.36 μmol/l) was found in 13.2% of the

Discussion

Our study aimed to investigate the role of serum uric acid on all-cause and cardiovascular mortality in a large population-based cohort of people with type 2 diabetes, during a 15-years follow-up period. The cross-sectional analysis of our study confirms the association between serum uric acid and variables included in the cluster of the metabolic syndrome (obesity, hypertension, HDL-cholesterol and triglycerides). In the prospective analysis, however, uric acid was not significantly associated

Author contributions

PF, researched data and wrote the manuscript, MP, PF, FB, CR and GG researched data, PCP contributed to the discussion and reviewed/edited the manuscript, GB designed the study, researched data and wrote the manuscript.

Acknowledgments

We thank the patients, the nurses at the diabetes clinic, the diabetologists and general practitioners for long-standing collaboration in this study. The Casale Monferrato Study is supported by grants from the Piedmont Region (Ricerca Sanitaria Finalizzata 2008). The Authors have no conflict of interest with results of the study.

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