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| Analysis of principal component of relevant parameters of renal function in patients with type 2 diabetes |
| JIA Xiaowei1,LUAN Jin2,ZHANG Nanyan3,LI Lan1,ZHAO Lin1,and JIA Hetang1. |
1. Department of Endocrinology, The 309th Hospital of PLA, Beijing 100091, China;
2. District Center for Disease Control and Prevention, Chinese People’s Armed Police Forces, Beijing 102613, China;
3. Department of Endocrinology,Xijing Hospital, The Fourth Military Medical University, Xi’an 710038, China |
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Abstract Objective To analyze 18 principal clinical indicators of renal function in patients with type 2 diabetic nephropathy(DN) and to explore a superior evaluation index. Methods 171 DN patients were recruited. Variation and correlation analysis of 18 clinical indexes was conducted, the SCr, BUN, B-beta 2-, U - beta 2-MG, MG, U-U-propagated, U-IgG alpha 1-MG, UA and GFR as nine optimal indicators were selected. Statistical software SAS was used for analysis of principal components. Results With eigenvalues greater than 1 as the principle, three principal components were extracted from the rootie 3.557, 1.403, and 1.007, respectively its the cumulative variance contribution rate was 66.294%. Since the selected three principal components of the cumulative contribution rate had yet to reach more than 85%, 3 principal components were added, thereby the cumulative contribution rate reaching 89.274%. Conclusions Of nine clinical indicators, associated with renal function in patients with type 2 diabetes, the six principal components can reflect most of the information. Based on the degree of variation, correlation and factor loading of principal component evaluation, SCr, BUN, and U-IgG superior evaluation indexes for renal function evaluation in patients with type 2 diabetes.
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Received: 27 March 2013
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| [4] |
Liu L, Zhang T, Wang F, et al. Pro12Ala polymorphism in the PPARG gene contributes to the development of diabetic nephropafhy in Chinese type 2 diabetic patients [J]. Diabetes Care, 2010, 33: 144-149.
|
| [1] |
孙振球,徐勇勇. 医学统计学[M].北京:人民卫生出版社,2002:321.
|
| [5] |
Manna P, Sinha M, Sil P C. Prophylactic role of arjunolic acid in response to streptozotocin mediated diabetic renal injury: activation of polyol pathway and oxidative stress responsive signaling cascades [J]. Chem Biol Interact, 2009, 181: 297-308.
|
| [2] |
Collins A J,Kasiske B,Herzog C,et al. Excerpts from the united states renal data system 2004 annual data report: atlas of end-stage renal disease in the united states[J].Am J Kidney Dis,2005,45(Suppl 1): A5-7.
|
| [3] |
Erdogan M, Eroglu Z, Biray C, et al. The relationship of the apolipoprotein E gene polymorphism Turkish type 2 diabetic patients with and without nephropathy [J]. J Endocrinol Invest, 2009, 32(3): 219-222.
|
| [4] |
Liu L, Zhang T, Wang F, et al. Pro12Ala polymorphism in the PPARG gene contributes to the development of diabetic nephropafhy in Chinese type 2 diabetic patients [J]. Diabetes Care, 2010, 33: 144-149.
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| [5] |
Manna P, Sinha M, Sil P C. Prophylactic role of arjunolic acid in response to streptozotocin mediated diabetic renal injury: activation of polyol pathway and oxidative stress responsive signaling cascades [J]. Chem Biol Interact, 2009, 181: 297-308.
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2013, Vol. 24 
