Prediction of Preeclampsia by a Combination of Body Mass Index (BMI), Mean Arterial Pressure (MAP), and Roll Over Test (ROT)

Suprihatin, Endah and Norontoko, Dwi Adji and Miadi, Miadi (2016) Prediction of Preeclampsia by a Combination of Body Mass Index (BMI), Mean Arterial Pressure (MAP), and Roll Over Test (ROT). In: The Proceeding of 7th International Nursing Conference: Global Nursing Challenges in The Free Trade Era, 8-9 April 2016, Surabaya.

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Abstract

Introduction One of the main causes maternal and infant mortality is preeklampsi. Preeclampsia is a disease of the theory and attacking multiple organs, making it difficult for handling. It indicates preventive interventions as early as possible by using a predictor preeklampsi. Has done a lot of studies to find effective predictors of preeclampsia, but have not found a single accurate predictor. This study aims to determine the effectiveness of the combination of predictors of IMT, MAP, and ROT in predicting preeclampsi. Method This research was carried out on all pregnant women with gestational age of 22-32 weeks who visit the Pacar Keling Public Health Centre of Surabaya in October-November, 2015. All over sample was measured BMI, MAP, and ROT, further observation until delivery. Data were analyzed descriptively, predictor combination of BMI, MAP, and ROT declared effective if > 90% of women who had two or more positive signs experienced preeclampsi. Result The combination of IMT, ROT, and MAP obtained 85% of pregnant women declared posisif. On further observation, 90% of mothers who stated positive after evaluated experiencing preeklampsi. Discussion Predictors combination of IMT, ROT, and MAP have a tendency to be effective in predicting Preeclampsi. The results of this study suggest that the combination of predictors of IMT, ROT, and MAP is used as a screening in all pregnant women. Key words : Body Mass Index, Mean Arterial Pressure, Roll Over Test, Preeclampsi, Predictor

Item Type: Conference or Workshop Item (Speech)
Subjects: R Medicine > RT Nursing
Divisions: Faculty of Medicine, Health and Life Sciences > School of Medicine
Depositing User: Dimas Dwi Arbi
Date Deposited: 16 Sep 2016 04:26
Last Modified: 09 Jan 2017 04:07
URI: http://eprints.ners.unair.ac.id/id/eprint/321

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