Prediction of adverse effects of preeclampsia

Khushboo Tongaria, Ashok Kumar, Simar Kaur


Background: To predict the adverse maternal, perinatal and combined (both maternal and perinatal) outcome in preeclampsia by using various clinical and laboratory variables.

Methods: Five hundred fifty women diagnosed with preeclampsia were included and twenty-four women were excluded from the study due to exclusion criteria, six women decline to participate, twenty women were lost to follow up, three women withdrew consent, so a total of 497 women were followed up in the study.

Results: Mean age of study population was 26.82±4.48 years. Majority of women with preeclampsia delivered vaginally. Forty-five (9.05%) developed neurological complication. Mean gestational age at delivery (weeks) in patients who developed adverse outcome was 34.58±3.74 weeks and in patients with normal outcome is 38.62±1.59 weeks. Mean birth weight of newborns were 2.1±0.73 kg and 1.85±0.61 kg for newborns with adverse outcomes. Majority of perinatal complication was small for gestational age 267 (54.37%) followed by prematurity 262 (53.36%). Total number of adverse perinatal events was six hundred seventy-seven as multiple neonates had more than one perinatal outcome. In combined (both maternal and perinatal) adverse outcome-374 (75%) developed adverse outcome, 123 (25%) developed normal pregnancy outcome.

Conclusion: This study found out simple clinical, biochemical tools for monitoring pregnant women and accurately identifying who was at greatest risk of severe complications. By identifying those women at highest risk of adverse maternal outcomes well before that outcome occurs, transportation and treatment can be targeted to those women most in need. This clinical prediction tool found to be an important contributor as it offers the potential to improve health outcomes of women for a condition that is at the root of a large amount of morbidity and mortality in the developing world.


Prediction, Preeclampsia, Adverse effects

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