Abstract
Several studies have documented an association between serum uric acid (SUA) concentration and cardiac hypertrophy in hypertensive patients; however, the association remains unclear in chronic kidney disease (CKD) patients. If there is an association between SUA and hypertrophy in these patients, it is unknown whether the association is different between men and women. Our aim in this study is to determine whether SUA is associated with cardiac hypertrophy in CKD patients, focusing on any sex differences. Two hundred sixteen CKD patients (117 men and 99 women) were enrolled in this cross-sectional study. Patients prescribed uric acid-lowering agents and those with congestive heart failure, valvular heart disease, or ischemic heart disease were excluded from this study. Left ventricular mass index (LVMI) and left ventricular hypertrophy (LVH) were assessed using echocardiography. The prevalence of LVH was 58% in men and 47% in women. In multivariate linear regression analysis, SUA levels did not correlate with LVMI in men, whereas SUA was independently associated with LVMI in women (β=0.27, P=0.02). Multivariate logistic regression analysis also revealed that diabetes mellitus (odds ratio (OR), 4.41; P=0.01) was associated with LVH in men, whereas age (OR, 1.13; P<0.01), hypertension (OR, 7.38; P=0.03) and SUA (OR, 1.91; P=0.03) were associated with LVH in women. In female CKD patients, SUA levels were associated with LVMI and LVH, whereas there was no association in male patients. These observations suggest that an association between SUA levels and the development of cardiac hypertrophy is more likely in women than in men.
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Introduction
Patients with chronic kidney disease (CKD) have high cardiovascular (CV) morbidity and mortality, and the presence of CKD worsens CV disease outcomes.1 Cardiac hypertrophy, that is, left ventricular hypertrophy (LVH) or increased left ventricular mass index (LVMI), is known to be a powerful, independent risk factor for future CV morbidity and mortality in patients with essential hypertension, as well as in the general population.2, 3, 4, 5 The prevalence of cardiac hypertrophy increases with declining renal function in CKD patients not undergoing dialysis and cardiac hypertrophy is independently associated with adverse CV events in these patients.6, 7, 8, 9, 10, 11, 12, 13 Thus, cardiac hypertrophy may be a major adverse CV consequence of CKD.
Several epidemiologic studies have suggested a positive association between serum uric acid (SUA) levels and CV disease in the general population,14, 15, 16, 17 in hypertensive patients18, 19 and in CKD patients.20, 21 It has also been reported that higher SUA levels are associated with cardiac hypertrophy in hypertensive patients.22, 23, 24, 25, 26 As approximately two-thirds of SUA is excreted through the kidneys, CKD patients develop hyperuricemia as the glomerular filtration rate declines.27 It has been reported that high SUA is associated with cardiac hypertrophy in renal transplant recipients,28 but very few studies have examined the relationship between SUA levels and cardiac hypertrophy in CKD patients.29 Moreover, studies of sex differences in the relationship between SUA levels and CV disease are conflicting. Some studies have shown that SUA levels correlate significantly with cardiac hypertrophy only in female hypertensive patients,22, 23 whereas another report found a significant association between SUA and cardiac hypertrophy only in male hypertensive patients.26 To date, there have been no studies of sex differences in the relationship between SUA and cardiac hypertrophy in CKD patients. Thus, we aimed to elucidate the association between SUA levels and cardiac hypertrophy in patients with CKD, focusing especially on the sex differences in this association.
Methods
In this cross-sectional study, we enrolled 216 patients with CKD not on dialysis, who were admitted to our hospital for evaluation and education of CKD. Patients prescribed uric acid-lowering agents and those with congestive heart failure, valvular heart disease, ischemic heart disease or local asynergy on echocardiogram were excluded from this study.
All patients provided written informed consent to the protocol, which was approved by the Ethics Committee of the National Kyushu Medical Center Hospital. Blood samples were obtained from admitted patients in the early morning after an overnight fast for measurement of serum creatinine (SCr), C-reactive protein, hemoglobin (Hb), SUA and serum phosphorus levels. Daily proteinuria was also measured. The estimated glomerular filtration rate (eGFR; ml min–1 per 1.73 m2) was calculated using the Modification of the Diet in Renal Disease equation for Japanese patients: 194 × SCr−1.094 × age−0.287 × 0.739 (if female).30
All enrolled patients were interviewed and clinically examined at presentation. Their medical histories and outpatient records were also evaluated in detail. Demographic information (age and sex), medication history, and atherosclerotic risk factors (hypertension, history of smoking, dyslipidemia and diabetes mellitus) at presentation were recorded for each patient. Hypertension was defined as systolic blood pressure ⩾140 mm Hg or diastolic blood pressure ⩾90 mm Hg, or use of antihypertensive drugs. Dyslipidemia was defined as plasma triglycerides ⩾150 mg dl–1, plasma low-density lipoprotein cholesterol ⩾140 mg dl–1, plasma high-density lipoprotein cholesterol <40 mg dl–1 or the use of lipid-lowering drugs based on a history of dyslipidemia. Diabetes mellitus was defined as previous or current plasma fasting glucose ⩾126 mg dl–1 or the use of hypoglycemic agents. Cigarette smoking was evaluated as current or past. Body mass index was calculated as weight in kg divided by height in m2. Blood pressure was measured at three separate times on the second day of hospitalization, with patients in a sitting position. The average of the three readings was recorded.
Left ventricular mass (LVM) was calculated from M-mode records taken on parasternal long-axis images, according to the following formula (derived by Reichek and Devereux31): LVM=1.04([IVSd+LVPWd+LVDd]3−LVDd3)−13.6, where IVSd and LVPWd are the thickness of the interventricular septum and of the posterior wall of the left ventricle (LV) in diastole, respectively, and LVDd is the diameter of the LV in diastole. LVMI was expressed as LVM per square meter of body surface area, calculated by the Du Bois formula:32 body surface area =weight0.425 × height0.725 × 0.007184.
We defined LVH as LVMI of 134 g m–2 or greater for males and 110 g m–2 or greater for females.33 Percent fractional shortening was calculated as (LVDd–LVDs)/LVDd × 100.
Statistical analysis
Continuous data are expressed as either the mean±s.d. or the median (interquartile range), depending on their distribution. Categorical data are expressed as numbers (with %). The significance of differences between female <45 years old and ⩾45 years old was examined using the χ2-test for categorical data, the Wilcoxon rank sum test for nonparametric data and the unpaired Student’s t-test for parametric data. Correlation coefficients were calculated according to Pearson’s method.
Demographic, traditional, and non-traditional risk factors, serological data, LVMI, and the prevalence of LVH were compared across quartiles of SUA levels using the χ2-test for categorical data, analysis of variance for continuous variables that are approximately normally distributed, and the Kruskal–Wallis test for skewed continuous variables analysis, followed by the Dunnett’s test. A linear regression analysis was performed to elucidate the associations between LVMI and traditional and non-traditional risk factors. Covariates associated with LVMI in univariate analysis were analyzed by multivariate analysis to determine the independent risk factors for LVMI. A logistic regression model was also applied to elucidate the traditional and nontraditional risk factors associated with LVH. Covariates associated with LVH that were significant in univariate analysis were selected as risk factors in multivariate analysis. The odds ratio and the 95% confidence interval were calculated for each variable. Data were analyzed using the JMP9 statistical package (SAS Institute, Cary, NC, USA). A P-value below 0.05 indicated a significant difference.
Results
The median age of the 216 patients (117 men and 99 women) in this study was 61 years (range, 30–75 years). The primary causes of renal disease were chronic glomerulonephritis (44%, 95 patients), diabetic nephropathy (30%, 65 patients), hypertensive nephrosclerosis (15%, 32 patients), other defined causes (8%, 17 patients) and unknown (3%, 7 patients).
The clinical characteristics of the patients according to CKD stage are summarized in Table 1. The prevalence of hypertension, diabetes mellitus, smoking and dyslipidemia was significantly higher with advancing CKD stages. In addition, 121 patients (56%) had been treated with angiotensin-converting enzyme inhibitors (ACEIs) and/or angiotensin II receptor blockers (ARBs), and this percentage was higher in advanced CKD stages. The percentage of patients receiving diuretics was also higher in more advanced CKD stages. Daily proteinuria in patients with CKD stages 4 and 5 was significantly higher than in patients with CKD stages 1 and 2. As kidney function declined, Hb levels decreased significantly, whereas SUA levels significantly increased in both sexes. LVMI was higher in more advanced CKD stages in both sexes. LVH was found in 53% of all subjects, with a significantly higher prevalence as kidney function decreased.
The study population was divided into quartiles by SUA level for each sex, as shown in Table 2a (men) and Table 2b (women). Among the male patients, the prevalence of hypertension was significantly higher with ascending SUA quartiles. No difference in systolic or diastolic blood pressure was found across quartiles. The eGFR values of patients in the second to fourth quartiles were significantly lower than those of patients in the first quartile. Figure 1 shows LVMI and prevalence of LVH according to quartiles of SUA in men. LVMI values were higher in fourth quartile patients than in first quartile patients. The prevalence of LVH did not increase significantly with ascending quartiles.
Among the female patients, patients in the fourth quartile had a higher median age than did those in the first quartile. The prevalence of hypertension and diabetes mellitus increased significantly with ascending quartiles. Patients in the third and fourth quartiles had significantly higher systolic blood pressure than those in the first quartile. The prevalence of ACEIs and/or ARBs and diuretic use was significantly higher with ascending quartiles. Patients in the second and fourth quartiles had significantly lower Hb compared with those in the first quartile. Patients in the third and fourth quartiles had significantly lower eGFR compared with those in the first quartile. As shown in Figure 2, LVMI was significantly higher in patients in the third and fourth quartiles than in those in the first quartile and the prevalence of LVH increased significantly with ascending quartiles. Table 3 shows the demographics, comorbidities, laboratory data and cardiac hypertrophy indices for females <45 years of age and for those ⩾45 years of age. Female subjects ⩾45 years of age had significantly higher SUA and LVMI values, and a higher prevalence of LVH than did younger women. In addition, eGFR values in female subjects ⩾45 years of age were significantly lower than in those <45 years of age.
Figure 3 shows the relationship between SUA and LVMI in men and women. In both sexes, LVMI was positively correlated with SUA levels (R2=0.06, P<0.01 in men; R2=0.28, P<0.01 in women). Table 4 shows the relationship between clinical parameters and LVMI in each sex. In men, univariate linear regression analysis demonstrated that age, hypertension, diabetes mellitus, dyslipidemia, use of ACEIs and/or ARBs, use of diuretics, proteinuria, serum albumin, Hb, serum phosphorus, eGFR and SUA were associated with LVMI. Multivariate analysis showed that use of diuretics was an independent variable associated with LVMI. In women, multivariate linear regression analysis demonstrated that age, hypertension and SUA were independent variables associated with LVMI.
We analyzed the risk factors for LVH for each sex using a logistic regression model, as shown in Table 5. In men, univariate regression analysis showed that age, hypertension, diabetes mellitus, use of ACEIs and/or ARBs, use of diuretics, proteinuria, serum albumin, Hb, serum phosphorus, eGFR and SUA were associated with LVH. In multivariate analysis, only diabetes mellitus, but not SUA and the other variables, was independently associated with LVH. In women, multivariate analysis showed that age, hypertension and SUA were independently associated with LVH.
Discussion
We observed a high prevalence of cardiac hypertrophy among CKD patients in this study compared with a previous report showing LVH prevalence ranging from 36 to 41% among hypertensive patients.34 The prevalence of cardiac hypertrophy was significantly higher with advancing CKD stage. In women, LVMI and the prevalence of LVH were significantly higher with ascending quartiles by SUA level. When male and female subjects were analyzed separately by multivariate analysis, elevated SUA levels were identified as an independent risk factor for both LVH and LVMI in females, whereas in males there was no significant relationship between SUA levels and cardiac hypertrophy.
This study did not clarify the mechanisms by which increased SUA levels caused cardiac hypertrophy. The role of SUA in the development of CV complications has not been fully investigated; however, some potential mechanisms have been proposed. It has been demonstrated that SUA impairs nitric oxide generation and induces endothelial dysfunction and smooth muscle cell proliferation.35, 36 It is also reported that SUA increases plasma levels of inflammatory mediators such as tumor necrosis factor alpha,37 and potentially stimulates mitogen-activated protein kinases,38 which are known to induce cardiac hypertrophy.39, 40 Moreover, uric acid appears to activate the renin–angiotensin system, thereby leading to the development of LVH.41, 42 Given these findings, cardiac hypertrophy may be directly attributable, at least in part, to increased SUA, via stimulation of endothelial dysfunction, smooth muscle cell proliferation, inflammation and activation of the renin–angiotensin system.
A recent study demonstrated that SUA levels were independently associated with CV morbidity, and that this association was stronger for patients in more advanced CKD stages.20 In another recent study, an increased ratio of observed to predicted LVM was shown to be independently related to adverse CV events in patients with CKD stages 3–5.11 Another report demonstrated that the combination of hyperuricemia with LVH is a powerful independent predictor for CV disease. The authors of that report speculated that the association between SUA and CV events in hypertensive patients might result from a direct association between SUA and LVMI.25 Allopurinol has been found to decrease oxidative stress and to improve endothelial function in metabolic syndrome.43 On the basis of these findings, SUA appears to contribute to the development of cardiac hypertrophy and CV events.
The sex-related effects of SUA on CV disease and cardiac hypertrophy are conflicting. This study demonstrated an association between SUA and cardiac hypertrophy only in female subjects. This finding agrees with previous observations in hypertensive patients.22, 23 Furthermore, the First National Health and Nutrition Examination Survey epidemiologic follow-up studies demonstrated a relationship between SUA and mortality (all-causes and due to CV events) only in women,17 and found that the association between SUA and CV mortality was stronger in women than in men.14 Given these findings, the influence of SUA on CV disease appears to be greater in women than in men. Although the reasons for these sex differences remain unclear, sex hormones may have a role.44 This study found that female subjects ⩾45 years of age, who may be post-menopausal, had higher SUA levels, and a higher prevalence of LVH, compared with those <45 years of age. Given that female subjects ⩾45 years of age had lower kidney function compared with those <45 years of age, this observation may be partly attributable to the higher prevalence of advanced CKD stages in female subjects ⩾45 years of age. In post-menopausal women, increased SUA levels may result from menopause-related metabolic changes, and might correlate with an increased risk of coronary artery disease.45 It is possible that the role of SUA as a risk for CV disease becomes more obvious for patients with a generally lower risk profile, such as women.22
This study has some limitations. First, the sample size was relatively small. A larger cohort study will be needed to avoid study bias and to document more precisely the relationship between SUA and cardiac hypertrophy. Second, most of our subjects were treated with antihypertensive agents: 55% of subjects received ACEIs and/or ARBs, which are known to prevent cardiac hypertrophy.46 However, univariate analysis showed that use of ACEIs and/or ARBs was associated with increased LVMI and higher prevalence of LVH in both sexes. It seems reasonable that ACEIs and/or ARBs were predominantly used for patients with cardiac hypertrophy. Multivariate analysis showed that the use of diuretics was an independent variable associated with LVMI in men. This finding may reflect the tendency for patients with higher LVMI to receive diuretics more often.
In conclusion, our results show an independent association between SUA levels and LVH and LVMI in female subjects, but not in male subjects. This finding suggests that an association between SUA levels and the development of LVH and LVMI is more likely in women than in men.
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Yoshitomi, R., Fukui, A., Nakayama, M. et al. Sex differences in the association between serum uric acid levels and cardiac hypertrophy in patients with chronic kidney disease. Hypertens Res 37, 246–252 (2014). https://doi.org/10.1038/hr.2013.134
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DOI: https://doi.org/10.1038/hr.2013.134
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