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Application effect of the software on“Individualized Diagnosis and Treatment System for Severe Postpartum Hemorrhage Based on Fuzzy Theory” |
Nanjing Medical University of Jiangsu Province, 210011 |
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Abstract To explore the application effect of the software on“Individualized Diagnosis and Treatment System for Severe Postpartum Hemorrhage Based on Fuzzy Theory” . Methods: The data of 179 women with severe postpartum hemorrhage from January 2015 to December 2017 in the affiliated Jiangyin hospital of southeast university medical college were selected. The grade, cause, and proportion of postpartum hemorrhage of these women were retrospectively analyzed by the software on “individualized diagnosis and treatment system for severe postpartum hemorrhage based on fuzzy theory”, and analytic results were compared with those in clinical practice. Results: In the 179 women with severe postpartum hemorrhage, 6 (3.4%) women were in low risk, 13 (7.3%) women were in moderate risk, 48 (27.0%) women were in high risk, and 112 (62.6%) women were in very high risk. The main causes of clinical hemorrhage were uterine atony, placental factors, soft birth canal injury, and so on. 76.0% parturient women with uterine inertia diagnosed by this software was significant more than that (62.6%) of the clinical reality situation (P<0.05), but 12.8% parturient women with placental factors diagnosed by this software was significant less than that (24.6%) of the clinical reality situation (P<0.05). There were no significant difference in soft birth canal injury rate (10.6% vs.10.1% ) and coagulation dysfunction rate (2.8% vs.2.8%) between diagnosed by this software and that of clinical reality situation (P>0.05). The risk grade of women with cesarean and bleeding volume (1302±658 ml) of women with very high risk grade and cesarean were significant higher than those of women with natural delivery (P<0.05). Conclusion: “Individualized diagnosis and treatment system for severe postpartum hemorrhage based on fuzzy theory” can comprehensively analyze and predict the cause and risk grades of severe postpartum hemorrhage, and can evaluate the risk grades and bleeding degree of women with different delivery modes, so it has certain clinical value.
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