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Research of gestational diabetes mellitus risk evaluation method
Zhenyu Chi1, Song Zhang1, Yang Wang2
1College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, China.
Background:
Gestational diabetes mellitus (GDM) is not easily detected. The difficulty in detecting GDM is largely due to the late onset of clinical symptoms as well as the various complications that result from GDM [1].
Objective:
GDM greatly influences both mother and child. Therefore, the purpose of this study was to reduce the morbidity of GDM.
Methods:
In this study, risk factors that influence GDM were selected through statistical analysis. Multivariable logistic regression analysis was used to obtain the regression equation and Odds Ratio (OR) value. The risk score of each factor was obtained according to the OR value.
Results:
The score of every pregnant woman could be very intuitively used to show the risk of getting GDM.
Conclusion:
Through the above methods, a comprehensive risk evaluation method of detecting GDM was developed.
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