| Summary: | 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
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