Association of Serum Uric Acid With All-Cause and Cardiovascular Mortality in Diabetes

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Abstract

OBJECTIVE

To investigate whether serum uric acid (SUA) level is associated with all-cause and cardiovascular disease (CVD) mortality among individuals with diabetes.

RESEARCH DESIGN AND METHODS

In this prospective cohort study, we included patients with diabetes from the U.S. National Health and Nutritional Examination Survey (NHANES) 1999–2018. Mortality and underlying causes of death were ascertained by linkage to national death records through 31 December 2019. Weighted Cox proportional hazards regression models were used to evaluate hazard ratios (HRs) and 95% CIs for all-cause and CVD mortality. We also performed a meta-analysis of available cohort studies to combine the association between SUA level and mortality in diabetes.

RESULTS

Among the 7,101 patients with diabetes from NHANES 1999–2018, the weighted mean of SUA level was 5.7 mg/dL. During 57,926 person-years of follow-up, 1,900 deaths (n = 674 deaths from CVD) occurred. In the fully adjusted model, when compared with patients with diabetes in the lowest SUA quintile, those in the highest SUA quintile had the HRs (95% CIs) of 1.28 (1.03, 1.58) for all-cause mortality and 1.41 (1.03, 1.94) for CVD mortality. We included 13 cohort studies in the meta-analysis and found that the pooled HRs (95% CIs) were 1.08 (1.05, 1.11) for all-cause mortality and 1.05 (1.03, 1.06) for CVD mortality per 1 mg/dL increment of SUA level in patients with diabetes.

CONCLUSIONS

This study indicated that higher SUA levels were associated with increased risks of all-cause and CVD mortality in diabetes. Interventional studies are needed to elucidate the health effect of treatments to lower SUA levels.

Related collections

Most cited references 34

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A new equation to estimate glomerular filtration rate.

Andrew Levey, Lesley Stevens, Christopher H Schmid … (2009)

Equations to estimate glomerular filtration rate (GFR) are routinely used to assess kidney function. Current equations have limited precision and systematically underestimate measured GFR at higher values. To develop a new estimating equation for GFR: the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Cross-sectional analysis with separate pooled data sets for equation development and validation and a representative sample of the U.S. population for prevalence estimates. Research studies and clinical populations ("studies") with measured GFR and NHANES (National Health and Nutrition Examination Survey), 1999 to 2006. 8254 participants in 10 studies (equation development data set) and 3896 participants in 16 studies (validation data set). Prevalence estimates were based on 16,032 participants in NHANES. GFR, measured as the clearance of exogenous filtration markers (iothalamate in the development data set; iothalamate and other markers in the validation data set), and linear regression to estimate the logarithm of measured GFR from standardized creatinine levels, sex, race, and age. In the validation data set, the CKD-EPI equation performed better than the Modification of Diet in Renal Disease Study equation, especially at higher GFR (P < 0.001 for all subsequent comparisons), with less bias (median difference between measured and estimated GFR, 2.5 vs. 5.5 mL/min per 1.73 m(2)), improved precision (interquartile range [IQR] of the differences, 16.6 vs. 18.3 mL/min per 1.73 m(2)), and greater accuracy (percentage of estimated GFR within 30% of measured GFR, 84.1% vs. 80.6%). In NHANES, the median estimated GFR was 94.5 mL/min per 1.73 m(2) (IQR, 79.7 to 108.1) vs. 85.0 (IQR, 72.9 to 98.5) mL/min per 1.73 m(2), and the prevalence of chronic kidney disease was 11.5% (95% CI, 10.6% to 12.4%) versus 13.1% (CI, 12.1% to 14.0%). The sample contained a limited number of elderly people and racial and ethnic minorities with measured GFR. The CKD-EPI creatinine equation is more accurate than the Modification of Diet in Renal Disease Study equation and could replace it for routine clinical use. National Institute of Diabetes and Digestive and Kidney Diseases.