A woman having her pregnancy health check-up. (Photo: By Courtesy)
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UNAIR NEWS – Preeclampsia is a pregnancy complication characterized by blood pressure with proteinuria in the end of the second trimester and the third. Preeclampsia can cause a serious complication such as preterm delivery and mother’s death.

Quoting a report of Health Agency of East Java, in 2013 there were 474 cases, higher than 2012 which was 450 cases. The Health Demographic Survey Indonesia (SDKI) 2012 showed that 13% of the cause of Maternal Mortality Rate was preeclampsia.

In 2012, preeclampsia or eclampsia is still a dominant factor, 34.88%, causing the maternal mortality in East Java (Health Agency, 2012).  In 2014, the rate even increased from 27.88% to 32.48% in RSUD Dr. Soetomo.

Determined to control the number of preeclampsia cases, students of Statistics program, Faculty of Science and Technology Universitas Airlangga, Intan Diyora Naya, Eries Diah Permatasari, Sa’adah Juli Hastuti, Khoirunnisa Alfadistya, and Andi Herawanto, has made an innovation in Exacta Research Student Creativity Program (PKM).

Intan and friends discussing their research to lower preeclampsia cases. (Photo: by courtesy).

Their PKMPE proposal entitled “Preeclampsia Causing Factors Analysis to Pregnant Mothers in RSU Haji Surabaya as Effort to Lower Maternal Mortality Rate (AKI) based on Binary Logistic Regression Method” passed the selection and got funding from Ministry of Research, Technology and Higher Education in 2016-2017 PKM.

”We conducted a research on factors believed to cause preeclampsia and made model from it so the correlation between the factors with binary logistic regression,” said Intan Diyora, the leader of PKM team.

The other causing factors of preeclampsia are hipertensi, proteinuria, diabetes mellitusweight, age, parity, multiple pregnancy, hypertension history before pregnancy and family history of preeclampsia or eclampsia.

The results showed that from eight factors studied, there are four factors affecting significantly. They are systolic blood pressure, diastolic blood pressure, protein in urine (proteinuria) and history of hypertension before pregnancy.

”The model we acquired can be used to diagnose to predict preeclampsia to pregnant mothers. Therefore, we hope the community to pay more attention to health by doing routine health check-ups so preeclampsia can be reduced each year,” said Intan. (*)

Editor: Bambang Bes

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Media komunikasi dan informasi seputar kampus Universitas Airlangga (Unair).