Title of article :
The Relationship between Type 2 Diabetes and Platelet Indicators
Author/Authors :
CHEN, Xiangyu Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China , FANG, Le Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China , LIN, Hongbo Yinzhon District Center for Disease Control and Prevention, Ningbo, P.R. China , SHEN, Peng Yinzhon District Center for Disease Control and Prevention, Ningbo, P.R. China , ZHANG, Tao Ningbo Municipal Center for Disease Control and Prevention, Ningbo, P.R. China , LI, Xiaoyong Yinzhon District Center for Disease Control and Prevention, Ningbo, P.R. China , YU, Min Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China , XU, Chunxiao Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China , ZHANG, Jie Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China , LU, Feng Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China , DU, Xiaofu Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China , HU, Ruying Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China , ZHONG, Jieming Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, P.R. China
Pages :
6
From page :
1211
To page :
1216
Abstract :
Background: Currently, the studies on the relationship between type 2 diabetes and platelets indicators were carried out on a selective small sample population generally. Large sample studies in this area are rare, especially in Chinese population. In this study, we aimed to investigate the relationship between type 2 diabetes and the mean platelet volume (MPV), platelet count (PLT) and platelet distribution width (PDW). Methods: This is a cross-sectional analysis of the routine health examination data from 20128 participants with complete baseline data in Yinzhou District 2013. The detection of indicators in this study was completed by automatic hematology analyzer. Results: The PDW and PLT were not significantly different between diabetic group and non-diabetic group, (16.00% vs. 16.00%, P=0.88, and 194*109/L vs. 196*109/L, P=0.05 respectively). The MPV was significantly higher in diabetic group (9.3fl vs. 9.2f1, P<0.05). MPV was an independent risk factor of diabetes mellitus (Unadjusted OR=1.07 (95% CI: 1.03, 1.11), Adjusted for age, sex OR=1.07 (95% CI: 1.02, 1.12)). The adjusted odds ratio of diabetes rose with increasing MPV levels and were most pronounced in subjects with MPV levels exceeding the 90th percentile (MPV>10.70 fi, Crude or=1.23 adjusted or=1.19). Conclusion: There was no relationship between the presence of diabetes with PDW and PLT. The MPV was independently associated with the presence of diabetes.
Keywords :
Diabetes mellitus , Mean platelet volume , Platelet distribution width , Platelet count
Journal title :
Astroparticle Physics
Serial Year :
2017
Record number :
2425242
Link To Document :
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