The Prevalence of Metabolic Syndrome in Patients with Gout: A Multicenter Study

Young Hee Rho; Seong Jae Choi; Young Ho Lee; Jong Dae Ji; Kyung Mook Choi; Sei Hyun Baik; Seung-hie Chung; Chae-Gi Kim; Jung-Yoon Choe; Sung Won Lee; Won Tae Chung; Gwan Gyu Song

doi:10.3346/jkms.2005.20.6.1029

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Rho, Choi, Lee, Ji, Choi, Baik, Chung, Kim, Choe, Lee, Chung, and Song: The Prevalence of Metabolic Syndrome in Patients with Gout: A Multicenter Study

Original Article

Journal of Korean Medical Science

Journal of Korean Medical Science 2005; 20(6): 1029-1033.

Published online: 31 December 2005

DOI: https://doi.org/10.3346/jkms.2005.20.6.1029

The Prevalence of Metabolic Syndrome in Patients with Gout: A Multicenter Study

Young Hee Rho, Seong Jae Choi^*, Young Ho Lee, Jong Dae Ji, Kyung Mook Choi^†, Sei Hyun Baik^†, Seung-hie Chung^‡, Chae-Gi Kim^‡, Jung-Yoon Choe^‡, Sung Won Lee^§, Won Tae Chung^§, Gwan Gyu Song^*

Division of Rheumatology, Korea University Anam Hospital, Seoul, Korea.

^*Division of Rheumatology, Korea University Guro Hospital, Seoul, Korea.

^†Division of Endocrinology, Korea University Guro Hospital, Seoul, Korea.

^‡Division of Rheumatology, Catholic University of Daegu, Daegu, Korea.

^§Division of Rheumatology, Dong-A University, Busan, Korea.

Address for correspondence: Gwan Gyu Song, M.D. Division of Rheumatology, Korea University Guro Hospital, 80 Guro-dong, Guro-gu, Seoul 152-703, Korea. Tel: +82.2-818-6667, Fax: +82.2-866-1643, gsong@kumc.or.kr

Received 28 March 2005 Accepted 23 June 2005

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

It has been suggested that hyperuricemia and possibly gout are associated with the metabolic syndrome, but there have been no direct studies. This study was undertaken to obtain the prevalence of the metabolic syndrome in patients with gout and to compare it with those from the general population studies. This was a 4-institutional case-historical control study composed of 168 patients with gout. We assessed the prevalence of metabolic syndrome according to the ATP III criteria and compared the prevalence with that of the historical controls. To elucidate the factors in gout that were associated with metabolic syndrome, a multivariate analysis was done. The age-adjusted prevalence of metabolic syndrome in gout patients was 43.6%, which was significantly higher than that of the Korean control population (5.2%) from the previous studies. Patients with gout had more components of metabolic syndrome than did the controls. Body mass index (BMI, OR=1.357 (95%CI 1.111-1.657)) and high density lipoprotein (HDL, OR=0.774 (95%CI 0.705-0.850)) were the variables most significantly associated with the occurrence of metabolic syndrome in gout, but alcohol consumption did not show such associations. Gout is associated with the metabolic syndrome, and furthermore, obesity and dyslipidemia were the factors most associated with the syndrome in these patients.

Keywords: Gout, Metabolic Syndrome X, Hyperuricemia

INTRODUCTION

Gout is an inflammatory arthritis that is associated with hyperuricemia, and also is widely known to be associated with obesity, dyslipidemia, hyperglycemia and hypertension. Such metabolic abnormalities have recently been increasingly recognized as not being separate illnesses, but rather they are a clustered syndrome that has been termed the "metabolic syndrome" (1). Metabolic syndrome has gained significant attention through the ATP (Adult Treatment Panel) III guidelines and it is considered to be an independent risk factor for cardiovascular diseases that is comparable to smoking.

It has been suggested that hyperuricemia and possibly gout are associated with insulin resistance or with metabolic syndrome (2-6), but no prevalence study has been done using the ATP III classification criteria. We recently conducted a single-center study (7) concerning this issue, and found the prevalence of metabolic syndrome with gout to be significantly higher than that in the general population (42.2% vs. 6.8%, gout vs. historical control, ATP III criteria used). This study is an expansion of our previous study with the purpose to discover the prevalence of the metabolic syndrome in patients with gout and compare it with the historical controls. We also determined the factors associated with metabolic syndrome.

MATERIALS AND METHODS

This was a case-historical control study undertaken in four institutes; Korea University Anam and Guro Hospital, Daegu Catholic University Medical Center and Dong-A University Hospital. A total of 168 patients with gout were recruited and they were checked for the presence of metabolic syndrome according to the ATP III criteria (1). The presence of metabolic syndrome was defined as those patients having ≥3 of the following 5 parameters: a waist circumference >102 cm for males or >88 cm for females, serum triglyceride levels ≥150 mg/dL, serum HDL cholesterol levels <40 mg/dL for males or <50 mg/dL for females, systolic blood pressure ≥130 mmHg or diastolic blood pressure ≥85 mmHg, and a fasting blood glucose ≥110 mg/dL. Those patients with primary gout, as defined by the ACR preliminary criteria for the classification of acute gout (8), were included in the study, and patients with secondary gout (e.g., drug-induced or due to chronic renal failure) were excluded. As corticosteroid therapy may influence metabolic factors, patients who were on chronic steroid therapy (defined as more than a month of any steroid dosage) were also excluded. Due to the cross-sectional nature of this study, missing data occurred in some cases pertaining to the classification criteria (nine cases), and these cases were negatively coded (they were regarded as not fulfilling the criteria).

The prevalence of metabolic syndrome obtained from this study was age-adjusted with using the male population from the year 2000 Population Projection for Korea (9). The prevalence of metabolic syndrome in this study was compared with that from the previous studies done in Korea with the general population, which prevalence was also age-adjusted by using epidemiologic methods. Among the reports, we used the prevalence reported by Lee et al. (10) (5.2%: male sex only, total prevalence: 6.8%) as the prevalence of the general population since it was based on the largest sample size (40,698 persons). There has been a study derived from a national health survey (11) and it reported a 22.1% prevalence among males, but that study used the modified ATP III criteria, in which the waist circumference criteria is adjusted to males ≥90 cm and females ≥80 cm according to the WHO Asia-Pacific obesity criteria (APC) (12), and so our results were compared separately to that study. Historical controls were used for the reason that such data would be more representative of the general population than using clinical data from institutions and so this should make a more objective comparison. As hyperuricemia and hypertriglyceridemia are associated with alcohol consumption and this may confound the results, the amount of alcohol consumption was checked in a categorized fashion. We classified the patients by the average daily alcohol consumption into three groups; non-drinkers, moderate drinkers (≤30 g/day), or heavy drinkers (>30 g/day).

A case-only analysis for comparing gout patients with or without metabolic syndrome by multiple logistic regression analysis was conducted to determine the strongest factors associated with the occurrence of metabolic syndrome with gout. Statistical analysis was done with SPSS for Windows 10.0 (SPSS Inc. Chicago, U.S.A.). Comparisons between the continuous or categorical variables were done by t-tests or chi-square tests, respectively. To compare variables among the different alcohol consumption groups, we used one-way analysis of variance (ANOVA). The prevalence, expressed as rates, was compared using chi-square tests of homogeneity. Multiple logistic regression analysis was applied for the multivariate analysis as described above, and the results are given in odds ratios (OR) with 95% confidence intervals (95% CI). Variables with p values of <0.05 were considered significant.

RESULTS

Descriptive analysis

A total of 168 patients with gout were recruited from the four hospitals. Table 1 shows the descriptive data of these patients. All the patients were males, and the mean age was 53±11.9 yr. Almost half (47.6%) were hypertensive and 10.7% were diabetic, and this is similar to previous data from patients with gout (13). Forty-two percent (42.9%) drank in moderation (≤30 g/day) and 28.6% drank heavily (>30 g/day) (Table 2). Differences in the variables among the alcohol consumption groups could be seen for the triglyceride and glucose levels. The triglyceride levels increased linearly in proportion to the alcohol consumption levels, while the glucose levels were lowest among the moderate drinkers. The urate levels were not significantly different among the groups (Table 2).

Prevalence of the metabolic syndrome in patients with gout

The age-adjusted prevalence of metabolic syndrome with gout was 43.6%, which is significantly higher than that of the control population (10) (p<0.001) (Table 3). When using the modified ATP III criteria where the waist criteria is lowered to ≥90 cm in males and ≥80 cm in females, the prevalence jumped up to 57.2%, and this is also significantly higher than that of the control population (11). According to these results, gout is strongly associated with the metabolic syndrome. The prevalence of metabolic syndrome according to the age groups is shown in Table 4. The prevalence is nearly uniform (50-60%) across the age groups when using the modified ATP III criteria. The percentage of patients who fulfilled the individual components of the ATP III or modified ATP III criteria is shown in Table 5. Among the components, hypertension and hypertriglyceridemia were the most common components, and this is similar to both the control populations. Table 6 shows the percentage of patients who simultaneously fulfilled several components of each set of criteria in an incremental order. Seventy-two percent of the patients with gout had at least 2 components of metabolic syndrome (85.7% with the modified ATP III criteria), which is much higher than the values of 23.2% (ATP III) (10) or 46.4% (modified ATP III) (11) from the control populations.

Factors associated with the metabolic syndrome in patients with gout

The multivariate analysis displayed on Table 7 shows the independent variables associated with the occurrence of metabolic syndrome (ATP III criteria) with gout. The patients with higher body mass index (BMI) levels were at the greatest risk of having metabolic syndrome (OR 1.357, 95%CI 1.111-1.657, p=0.003), while the patients with higher high density lipoprotein (HDL) levels were at the lowest risk (OR 0.774, 95% CI 0.705-0.850, p<0.001). When considering the difference in the weights of the units among the variables, (i.e., increasing BMI by 1 is far more difficult than increasing blood pressure or glucose by 1), systolic blood pressure (SBP) could be the strongest variable with an OR of 2.203 (increments in 10 mmHg). However, neither the urate levels nor the alcohol consumption levels were significantly associated with metabolic syndrome.

DISCUSSION

The concept of metabolic syndrome was first suggested by Reaven in 1988 (14), and it is now an acknowledged major risk factor for cardiovascular diseases in the ATP III guidelines. Its components can be divided into hypertension, obesity, hyperglycemia and dyslipidemia. As gout is also generally known to be associated with such metabolic abnormalities, it seems somewhat unusual that there have not been few, if not any, epidemiologic studies concerning the prevalence of metabolic syndrome in patients with gout up to this time. This study is the first in Korea to determine the association of metabolic syndrome with gout by performing a prevalence comparison with using the ATP III classification criteria. There is an article reporting that 86% of patients with gout have metabolic syndrome (15). As discussed in this report, this difference in prevalence may reflect a difference between diverse ethnic populations. Our results were remarkably similar to the results of that of the single-center study (7), and they suggest that gout is associated with metabolic syndrome as there is a much higher prevalence of metabolic syndrome in patients with gout than in the general population. This is true even when comparing with a study from a middle-aged Korean population (17.6%) (16), which age distribution may match the gout-prevalent ages. The majority of patients with gout (>70%) had at least two metabolic risk factors, suggesting that these patients may have a higher risk for cardiovascular complications than normal individuals. Obesity (or hypertension) may have stronger effects on the development of metabolic syndrome in gout than the other components. However, the urate levels, and more importantly, alcohol consumption did not have significant effects on the occurrence of metabolic syndrome in patients with gout. This has significance in terms of the effects of alcohol on the lipid levels. Alcohol consumption has been recently confirmed to have an effect on the development of gout (17). Also, such alcohol consumption could lead to higher triglyceride levels and lower HDL levels, which may lead to an increased prevalence of metabolic syndrome. However, this was not the case in our study. Because the prevalence of metabolic syndrome did not differ across the levels of alcohol consumption, and also because the triglyceride and HDL variables, even when they were adjusted for alcohol consumption, remained significant on the multivariate analysis, the effects of alcohol on metabolic syndrome in patients with gout does not seem to be significant. As the effects of alcohol consumption on the development of metabolic syndrome or insulin resistance are not consistent, as was shown in previous studies (18-22), interpretation of our results should be done cautiously. We give the meanings that alcohol consumption did not influence metabolic factors such as lipid levels to make more cases of the metabolic syndrome, and so did not confound us that gout has more individuals with metabolic syndrome through alcohol consumption. Although gout seems to be associated with metabolic syndrome due to its higher prevalence, serum urate did not play a significant role in the development of metabolic syndrome in our patients. This might have happened due to the fact that many of the patients should have been on hypouricemic therapy, and more importantly, since virtually all patients with gout are hyperuricemic, it may be expected to have made no differences. However, uric acid was included in the model for the purpose of controlling for possible confounding, and the results are the same without the urate variable. Therefore, a more generalized case-control study might indicate the significance of uric acid in metabolic syndrome. There is a study that uric acid is related to the components of the metabolic syndrome in the Korean population. (23)

This study might have some weakness, as there were 7 cases (4.2%) missing from the waist data and 2 cases (1.2%) missing from the blood pressure data. However, as the missing values were negatively coded, these should not have had an influence on our conclusions. The significance of obesity and HDL as the strongest positive and negative factors for metabolic syndrome in gout patients should be revalidated and if it is so, this may give insights into the development of hyperuricemia and gout and hopefully, lead to its effective management. Obesity, as well as low HDL levels combined with hypertriglyceridemia are suggested to be associated with insulin resistance (24-26), and as they were the variables with the strongest effects on metabolic syndrome in patients with gout, our data indicates that gout (or hyperuricemia) is more related with dyslipidemia and obesity rather that hyperglycemia or hypertension. As patients with gout are essentially a subgroup of hyperuricemic individuals, larger samples are needed to generalize to, or to compare with the asymptomatic hyperuricemic individuals, who in fact represent the majority of the hyperuricemic population. The results from such studies may give more perspectives on the development of hyperuricemia.

Figures and Tables

Table 1

Descriptive data of the patients with gout

Table 2

Metabolic factors according to alcohol consumption

^*Metabolic syndrome, ^†chi-square test of homogeneity, ^‡One-way ANOVA, ^§Mean±SD, ^∥p=0.036, ^¶p=0.034, Bonferroni test.

The other factors are not significant.

Table 3

The prevalence of metabolic syndrome

^*Chi-square test of homogeneity, ^†crude/age-adjusted prevalence, ^‡From reference 10, study population 40,698, ^§From reference 11, study population 6,147.

Table 4

Prevalence of metabolic syndrome according to age groups

^*Crude/Age-adjusted prevalence.

Table 5

Fulfillment of the individual criteria for patients with gout

Table 6

Simultaneous fulfillment of metabolic criteria for patients with gout

Table 7

Multivariate analysis of the metabolic factors for patients with gout

OR, Odds ratio; CI, Confidence interval; BMI, Body mass index; BP, Blood pressure; FBS, Fasting blood glucose. ATP III Criteria were used.

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