Albuminuria: Prevalence, associated risk factors and relationship with cardiovascular disease.

Abstract

AIMS/INTRODUCTION:

To investigate the prevalence and associated risk factors of microalbuminuria, and to explore the relationship between albuminuria and cardiovascular disease (CVD).

MATERIALS AND METHODS:

A nationally representative sample of 38,203 Chinese participants was categorized by different levels of urinary albumin-to-creatinine ratio (ACR; 0 -10 mg/g, 10 -20 mg/g, 20 -30 mg/g, 30 -300 mg/g). The prevalence of albuminuria was compared by using a single urinary ACR cut-off point and by sex-specific ACR cut-off points. Factors associated with the presence of albuminuria, and the relationship between albuminuria and CVD were analyzed by logistic regression.

RESULTS:

Prevalence of albuminuria as measured by a single ACR cut-point was significantly lower for men compared with women (13.9% vs 19.1% in the normal glucose tolerance group; 20.8% vs 26.8% in the impaired glucose tolerance group, P < 0.01). The prevalence of albuminuria, as measured by sex-specific ACR cut-points, was higher for men than women (31.4% vs 29.6% in the normal glucose tolerance group; 42.2% vs 39.3% in the impaired glucose tolerance group, P < 0.01). The independent risk factors for the presence of albuminuria were aging, female sex, hypertension, hyperglycemia, obesity, dyslipidemia, insulin resistance and metabolic syndrome. The subdivided normal ACR group did not show a linear or statistically significant relationship with CVD after adjusting for conventional CVD risk factors (P > 0.05).

CONCLUSIONS:

The prevalence of albuminuria was high in the general Chinese population. Aging, female sex, hypertension, hyperglycemia, dyslipidemia, insulin resistance, obesity and metabolic syndrome were all independent risk factors for albuminuria. The causal relationship between ACR and CVD might require further follow-up investigation.

• Authors: Fang Chen, Wenying Yang, Jianping Weng, Weiping Jia, Linong Ji, Jianzhong Xiao, Zhongyan Shan, Jie Liu, Haoming Tian, Qiuhe Ji, Dalong Zhu, Jiapu Ge, Lixiang Lin, Li Chen, Xiaohui Guo, Zhigang Zhao, Qiang Li, Zhiguang Zhou, Guangliang Shan, Juming Lu, China National Diabetes and Metabolic Disorders Study Group
• Journal: Journal of diabetes investigation (J Diabetes Investig) Vol. 5 Issue 4 Pg. 464-71 (Jul 2014) ISSN: 2040-1116 [Print] Japan
• PMID: 25411608 (Publication Type: Journal Article)