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Evaluation of Incidence and Risk Factors of Severe Preeclampsia in a Tertiary Hospital Centre

Authors :
Erjola Pupi
Redi Hoxhallari
Astrit Bimbashi
Eriseida Ndoni
Source :
British Journal of Medicine and Medical Research. 13:1-7
Publication Year :
2016
Publisher :
Sciencedomain International, 2016.

Abstract

Aims: To evaluate the incidence of severe preeclampsia, eclampsia and HELLP syndrome in a tertiary Hospital Centre of Obstetrics and Gynaecology and to identify the impact of risk factors associated with severe preeclampsia. Study Design: Retrospective cross-sectional study. Place and Duration of Study: University Hospital of Obstetrics and Gynaecology “Koco Gliozheni”, Tirana, Albania between January 2009 and December 2013. Methodology: To collect the data for this study we used the medical records of births of a period of five years. The standard inclusion criteria in the study were pregnant women diagnosed with preeclampsia that had delivered in this hospital after 24 weeks’ gestation despite the number of the babies, fetal presentation and mode of delivery. The exclusion criteria in this study were: pregnancies with confirmed fetal anomalies non-viable, pregnancies with missing data, and pregnancies with unknown gestational age. The maternal variables collected from the medical Original Research Article Ndoni et al.; BJMMR, 13(12): 1-7, 2016; Article no.BJMMR.24143 2 records were: maternal age, parity, gestational age at delivery, multiple pregnancy, pre-existing (chronic) hypertension, pre-existing diabetes mellitus, renal diseases and preeclampsia in previous pregnancy. The data collected for the variables were compared with the statistical data for all the deliveries during the study period. Fisher’s exact test, Chi-squared test and SPSS program were used as statistical methods. Results: The study found differences between the severe preeclampsia group and the general population for the maternal risk factors: severe preeclampsia was evaluated 16.8% vs. 3.5% (P< 0.01), pre-existing hypertension 7.8% vs. 2.3% (P = 0.02), renal diseases 1.9% vs. 1.1%, diabetes mellitus 5.8% vs. 4.6% and multiple pregnancies 7.1% vs. 2.7% respectively. Conclusion: Identification of these risk factors is very important for the calculation of risk for preeclampsia in early pregnancy and early treatment to prevent the maternal and perinatal morbidity and mortality from this disease.

Details

ISSN :
22310614
Volume :
13
Database :
OpenAIRE
Journal :
British Journal of Medicine and Medical Research
Accession number :
edsair.doi...........d0b9682707b6ab1cb35a9cf3fe06380e
Full Text :
https://doi.org/10.9734/bjmmr/2016/24143