New biomarker for risk determination of the appearance of preeclampsia
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2023-12-28 17:08
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OLEINIC, Vera, FRIPTU, Valentin. New biomarker for risk determination of the appearance of preeclampsia. In: Perspectives of the Balkan medicine in the post COVID-19 era: The 37th Balkan Medical Week. The 8th congress on urology, dialysis and kidney transplant from the Republic of Moldova “New Horizons in Urology”, Ed. 37, 7-9 iunie 2023, Chişinău. București: Balkan Medical Union, 2023, Ediția 37, p. 185. ISSN Print: ISSN 1584-9244 ISSN-L 1584-9244 Online: ISSN 2558-815X.
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Perspectives of the Balkan medicine in the post COVID-19 era
Ediția 37, 2023
Congresul "Perspectives of the Balkan medicine in the post COVID-19 era"
37, Chişinău, Moldova, 7-9 iunie 2023

New biomarker for risk determination of the appearance of preeclampsia


Pag. 185-185

Oleinic Vera, Friptu Valentin
 
”Nicolae Testemițanu” State University of Medicine and Pharmacy
 
 
Disponibil în IBN: 24 decembrie 2023


Rezumat

Introduction. Preeclampsia remains a challenge in obstetrics, various biomarkers have been studied that could predict early preeclampsia and reduce its complications. Recently, the marker hypoxiainducible factor 1α (HIF-1a), which is a mediator of the hypoxic stress signal, has been studied, and the HIF-1α protein level may be increased in preeclampsia. Material and methods. The concept of the study consists in the development of the prognostic model that is able to predict the probability of occurrence of preeclampsia using HIF-1α as a covariate. A prospective cohort study was carried out, in which 96 pregnant women in the third trimester of pregnancy were included, which was divided into two groups: the study group - 48 pregnant women with preeclampsia, the control group - 48 pregnant women without preeclampsia. Results. According to the coefficients obtained through the regression and resampling analysis, the proposed equation is recommended for use in practice, including the risk estimation for each pregnant woman. Has been established: Nagelkerke R Square = 0.734 (73.4%), calibration (χ2 = 13.498, df = 8, p = 0.096) and discrimination (Sensibility 93.8%, Specificity 90.2%), HIF-1α (B = 0.013, 95% CI 0.008, 0.018), OR = 1.013 (95% CI 1.008, 1.018). Conclusions. Taking into account the characteristics of the model, it can be considered relevant, and HIF-1α, in turn, can be considered a new biomarker for predicting the risk of preeclampsia.