American Journal of Medicine and Medical Sciences
p-ISSN: 2165-901X e-ISSN: 2165-9036
2019; 9(1): 430-433
doi:10.5923/j.ajmms.20190911.05
Shukhrat T. Mukhtarov1, Mardon M. Khasanov2
1Department of Surgery, SI Republican Specialized Scientific-Practical Medical Center of Urology, Tashkent, Uzbekistan
2Department of Urology, Tashkent Medical Academy, Tashkent, Uzbekistan
Correspondence to: Shukhrat T. Mukhtarov, Department of Surgery, SI Republican Specialized Scientific-Practical Medical Center of Urology, Tashkent, Uzbekistan.
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Copyright © 2019 The Author(s). Published by Scientific & Academic Publishing.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/
This research describes the factors that cause the development of complicated supravesical obstruction in pregnant women. Each factor has been analyzed by step-by-step regression analysis; odds ratios and relative risk have been calculated against the outcome of this condition for each pregnant woman. High-risk factors and odds ratios have been selected as the classifier of outcomes for discriminant analysis. Based on the discriminant function, a model has been developed for predicting the risk of developing a complicated course of supravesical obstruction in pregnant women. The results of the self-test showed high sensitivity and specificity of this model.
Keywords: Complicated supravesical obstruction, Pregnancy, Predicting model
Cite this paper: Shukhrat T. Mukhtarov, Mardon M. Khasanov, The Model for Predicting the Risk of Development of Complications in Pregnancy with Supravesical Obstruction, American Journal of Medicine and Medical Sciences, Vol. 9 No. 1, 2019, pp. 430-433. doi: 10.5923/j.ajmms.20190911.05.
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Figure 1. ROC curve for discriminant analysis of the prediction model |