Plasma Uric Acid and the Risk of Type 2 Diabetes in a Chinese Community

Chien, Kuo–Liong; Chen, Ming-Fong; Hsu, Hua‐Yi; Chang, Wei‐Tien; Su, Ta‐Chen; Lee, Yuan‐Teh; Hu, Frank B.

doi:10.1373/clinchem.2007.095190

Cited by 145 publications

(111 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The high risk of diabetes among our study participants may be explained by older age, higher body mass index and a single measurement for case diagnosis [44].…”

Section: Discussionmentioning

confidence: 88%

A prediction model for type 2 diabetes risk among Chinese people

et al. 2008

View full text Add to dashboard Cite

Aims/hypothesis A range of prediction rules for the onset of type 2 diabetes have been proposed. However, most studies have been conducted in white groups and it is not clear whether these models apply to Asian populations. The purpose of this study was to construct a simple points model for predicting incident diabetes among Chinese people.Methods We estimated the 10 year risk of diabetes in a cohort study of middle-aged and elderly participants who were free from diabetes at baseline. Cox regression coefficients were used to construct the simple points model and the discriminatory ability of the resulting prediction rule was determined using AUC and net reclassification improvement and integrated discrimination improvement statistics. Fivefold random splitting was used to test the internal validity and obtain bootstrap estimates of the AUC. Results Of the 2,960 participants without diabetes at the baseline examination, 548 developed type 2 diabetes during a median 10 year follow-up period. Age (four points), elevated fasting glucose (11 points), body mass index (eight points), triacylglycerol (five points), white blood cell count (four points) and a higher HDL-cholesterol (negative four points) were found to strongly predict diabetes incidence in a multivariate model. The estimated AUC for the model was 0.702 (95% CI 0.676-0.727). This model performed better than existing prediction models developed in other populations, including the Prospective Cardiovascular Münster, Cambridge, San Antonia and Framingham models for diabetes risk. Conclusions/interpretation We have constructed a model for predicting the 10 year incidence of diabetes in Chinese people that could be useful for identifying individuals at high risk of diabetes in the Chinese population.

show abstract

“…The high risk of diabetes among our study participants may be explained by older age, higher body mass index and a single measurement for case diagnosis [44].…”

Section: Discussionmentioning

confidence: 88%

A prediction model for type 2 diabetes risk among Chinese people

et al. 2008

View full text Add to dashboard Cite

show abstract

“…A cross-sectional study of a consecutive sample of 3065 staff who had undergone health examination suggested that SUA level was highest in subjects with abnormal levels of triglycerides but an abnormal range of fasting glucose did not affect the SUA level. 23 In another study, the association of triglycerides and uric acid has been persistent after full adjustment in a multiple logistic model, suggesting that triglycerides correlate independently with uric acid level. Interestingly, the association was obtained even within the normal range of serum triglycerides.…”

Section: Discussionmentioning

confidence: 95%

Interaction between serum uric acid and triglycerides in relation to blood pressure

et al. 2010

View full text Add to dashboard Cite

The aim of this study was to examine the independent relationship between serum uric acid (SUA) and blood pressure, and to assess their joint effects on obesity, fasting glucose and lipids. The study samples were from a community-based health examination survey in Xuzhou, Jiangsu province of China (2009). Blood pressure, body mass index, fasting glucose, lipids and SUA were measured. After excluding individuals with fasting glucose greater than 7 mmol l À1 , a total of 8415 subjects with biomarkers available were included in the present study. Blood pressure increased with elevated SUA levels, after adjusting for age and sex. Further adjustment for fasting glucose, lipids and alcohol consumption did not change the increasing trend. The associations between uric acid and hypertension were most evident in those with highest quintiles of high-density lipoprotein cholesterol (HDL-C). In addition, the associations were significant in both men and women, and we found significant interactions between uric acid status and age on hypertension. When the joint effects were examined, we found an additive effect of triglycerides and uric acid levels on diastolic blood pressure (DBP). There was significant association between SUA and hypertension, independent of other metabolic risk factors. HDL-C levels may modify the associations between uric acid and hypertension. The effects of triglycerides and uric acid levels on DBP were additive.

show abstract

“…Individuals with a fasting blood sugar level 4126 mg per 100 ml and/or use of oral hypoglycaemia agents or insulin injections were defined as diabetes mellitus. 15,23 …”

Section: Definition Of Hypertension and Associated Risk Factorsmentioning

confidence: 99%

Prediction models for the risk of new-onset hypertension in ethnic Chinese in Taiwan

Chien

Hsu

et al. 2010

J Hum Hypertens

View full text Add to dashboard Cite

Prediction model for hypertension risk in Chinese is still lacking. We aimed to propose prediction models for new-onset hypertension for ethnic Chinese based on a prospective cohort design on community, which recruited 2506 individuals (50.8% women) who were not hypertensive at the baseline . Total 1029 cases of new-onset hypertension developed during a median of 6.15 (interquartile range, 4.04-9.02) years of followup. In the clinical model, gender (2 points), age (8 points), body mass index (10 points), systolic blood pressure (19 points) and diastolic blood pressure (7 points) were assigned. The biochemical measures, including white blood count (3 points), fasting glucose (1 point), uric acid (3 points), additional to above clinical variables, were constructed. The areas under the receiver operative characteristic curves (AUCs) were 0.732 (95% confidence interval (CI), 0.712-0.752) for the point-based clinical model and 0.735 (95% CI, 0.715-0.755) for the point-based biochemical model. The coefficient-based models had a good performance (AUC, 0.737-0.741). The point-based clinical model had a similar net reclassification improvement as the coefficient-based clinical model (P ¼ 0.30), and had a higher improvement than the point-based biochemical model (P ¼ 0.015). We concluded that the point-based clinical model could be considered as the first step to identify high-risk populations for hypertension among Chinese.

show abstract

Plasma Uric Acid and the Risk of Type 2 Diabetes in a Chinese Community

Cited by 145 publications

References 41 publications

A prediction model for type 2 diabetes risk among Chinese people

A prediction model for type 2 diabetes risk among Chinese people

Interaction between serum uric acid and triglycerides in relation to blood pressure

Prediction models for the risk of new-onset hypertension in ethnic Chinese in Taiwan

Contact Info

Product

Resources

About