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International Journal of Advanced Research in Medicine
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2020, Vol. 2, Issue 1, Part A

Dyslipidemia in pregnancy and the maternal outcome in Indian scenerio


Author(s): Nabnita Patnaik and Nihar Ranjan Pradhan

Abstract: Background: The biological causes of preterm birth remain unknown, despite the decades of research. Metabolic changes, particularly in carbohydrate and lipid metabolism occurs in normal pregnancy to increase circulating glucose and triglycerides to nourish the growing fetus. Fasting plasma glucose is decreased in early pregnancy, and impaired glucose tolerance occurs in late pregnancy due to the Changes in carbohydrate metabolism.
Materials and Methods: study was conducted in a private hospital and the births were identified from birth certificate and hospital discharge records over a period of 2 years and were linked approximately 9–12 months prior to delivery through 9–12 months post-delivery. Singleton pregnancy, availability of linked records, gestational age between 20–44 weeks and absence of severe hypertensive diseases including hypertensive heart disease, hypertensive chronic kidney disease and secondary hypertension was included in the study while we excluded those women, who has forms of hypertension which is not the primary focus of our study and could confound the association with the outcome.
Results: The difference between the groups was not statistically significant. (p>0.06) 57.56% of participants were primigravidas in which 24.08%) developed pre-eclampsia & 76.92% remained unaffected. 42.44%) of participants were multigravidas in which preeclamptic and normotensives were 7.52% and 92.48% respectively, the difference was statistically significant.
Conclusion: Early prediction of preeclampsia can be used as a tool for the prevention before the development of the disease. So, if there is any test to predict the preeclampsia which can be easily measured and available will be helpful to classify the patient to know the maternal outcome So there is need of further research to discover the specific test to predict the outcomes.


DOI: 10.22271/27069567.2020.v2.i1a.28

Pages: 01-04 | Views: 1445 | Downloads: 696

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How to cite this article:
Nabnita Patnaik, Nihar Ranjan Pradhan. Dyslipidemia in pregnancy and the maternal outcome in Indian scenerio. Int J Adv Res Med 2020;2(1):01-04. DOI: 10.22271/27069567.2020.v2.i1a.28
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