PENGEMBANGAN MODEL PREDIKSI LUARAN MATERNAL PASIEN PREEKLAMSIA DAN EKLAMSIA DI RSUP DR. SARDJITO, YOGYAKARTA TAHUN 2008-2009

• Main Authors: , HANIFAH, , Prof. Dr. dr. H. Ibnu Pranoto, Sp And., SpOG(K)
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2011
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/90209/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=52590
• Institution: Universitas Gadjah Mada

Background: Preeclampsia is one of the factors of maternal morbidity and mortality. For the purposes of decisions making about the proper handling of this case, then with available data we tried to evaluate feasibility of making the prediction model. Objectives: To create a model can predict adverse maternal outcomes in severe preeclampsia and eclampsia. Design: Retrospective cohort study design. Methods: Subjects were severe preeclampsia and eclampsia cases who meet inclusion and exclusion criteria for 2 years (2008-2009) in DR. Sardjito Hospital Yogyakarta. Sample size was based on the total sampling. Research variables were: Predictors for adverse outcomes: age, gestational age at presentation, gravida, history of hypertension, MAP, proteinuria, creatinine, total bilirubin, MPV: platelet, and WBC. Combined adverse outcomes: maternal mortality, renal failure, and hypertension. Furthermore, these variables were analyzed statistically using multiple binary logistic regression and multinomial then validated with a sensitivity, specificity, ppv, npv, and accuracy. Results: Among 274 women, 163 women (59.5%) experienced adverse outcomes combined (including 3 deaths). The statistical analysis obtained the final model are: history of hypertension, β -0.566