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Erschienen in:
01.08.2018 | Original Article
Association of 2-Methoxyestradiol (2ME) Plasma Levels with Clinical Severity Indices and Biomarkers of Preeclampsia
Erschienen in: The Journal of Obstetrics and Gynecology of India | Sonderheft 2/2019
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Introduction
Preeclampsia is an important cause of maternal and perinatal morbidity and mortality. The pathophysiology of preeclampsia has been extensively studied. 2ME seems to maintain placental homeostasis necessary for appropriate cytotrophoblast invasion of the maternal deciduas. We plan this study to compare its value in the plasma of normotensive and preeclamptic women and studying its correlation with the severity indices of preeclampsia.
Aim and Objectives
The aim of this study was to estimate plasma levels of 2ME in preeclamptic and normotensive pregnant women and correlate it with the severity in terms of clinical indices, laboratory investigations, and fetomaternal outcome.
Materials and Methods
This study was a case–control study conducted in KGMU, Lucknow, August 2015–2016. Sample size was 90 pregnant women including 30 normotensive, 30 non-severe preeclampsia, and 30 severe preeclampsia patients. Plasma 2ME levels were analyzed using ELISA kit and the outcome was compared in terms of systolic and diastolic blood pressure, proteinuria, liver and renal function tests, serum LDH, uric acid, plasma 2ME levels, and fetomaternal outcome.
Results
There was a significant (p = 0.0001) difference in 2ME plasma levels among the groups (normotensive, non severe and severe preeclampsia patients). 2ME plasma levels significantly negatively correlated with SBP (r = − 0.62, p = 0.0001) and DBP (r = − 0.63, p = 0.0001). With one-unit increase in SBP, 2ME will decrease by 2445.14 units, and in one-unit increase in DBP, 2ME will decrease by 1807.28 units. The sensitivity and specificity of 2ME for preeclampsia were found to be high.
Conclusion
It was seen that there was a statistically significant difference between plasma 2ME levels among the three groups. The ROC curve obtained showed that sensitivity was predicted to be 98.3%, specificity 76.7%, positive predictive value of 89.4%, negative predictive value of 95.8% and accuracy of 91.1%.