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dc.contributor.author Bulavenko, O. en
dc.contributor.author Ostapiuk, L. en
dc.contributor.author Voloshinovskii, A. en
dc.contributor.author Rud, V. en
dc.contributor.author Malyi, T. en
dc.contributor.author Rud, O. en
dc.date.accessioned 2021-06-03T08:47:16Z
dc.date.available 2021-06-03T08:47:16Z
dc.date.issued 2020
dc.identifier.citation Prognostic model of postpartum endometritis development / Bulavenko O., Ostapiuk L., Voloshinovskii A., Rud V., Malyi T., Rud O. // EC Gynaecology. – 2020. – Vol. 9(2). – P. 1–7. en
dc.identifier.uri https://dspace.vnmu.edu.ua/123456789/5302
dc.description.abstract We aimed to build a prognostic model to forecast development of postpartum endometritis based on the use of standard diagnostic algorithm. Additionally, we implied the use of fluorescent spectroscopy, logistic regression and ROC-analysis. The main cohort consisted of 75 women with postpartum endometritis and control group consisted of 40 women with uncomplicated course of the postpartum period. As a part of this study we have analysed the course of pregnancy, labour and postpartum period of both main and control cohorts. Moreover, we carried out an extended analysis of the clinical and laboratory data, including information obtained during instrumental examination of the patients. Furthermore, we determined 5 factors whose cumulative effect has the biggest impact on occurrence of postpartum endometritis among the main cohort of patients. Logistic regression enabled identification of these factors as such: extragenital pathology, TORCH-infections, colpitis, fluorescence intensity ≤ 0.845, a number of bed days. en
dc.language.iso en en
dc.publisher EC Gynaecology en
dc.subject endometritis en
dc.subject prognostic model en
dc.subject ROC-analysis en
dc.subject logistic regression en
dc.title Prognostic model of postpartum endometritis development en
dc.type Article en


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