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The Hypoxic Ischemic Encephalopathy Model of Perinatal Ischemia
Published on: November 19, 2008
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A predictive model for perinatal hypoxic ischemic encephalopathy using linked maternal and neonatal hospital data
Wendy M Leith1, Maurice P Zeegers1, Michael D Freeman1
1Maastricht University, Care and Primary Healthcare Research Institute, Faculty of Health, Medicine, and Life Sciences, P.O. Box 616 6200 MD, Maastricht, the Netherlands.
Annals of Epidemiology
|December 2, 2023
Summary
This study developed a model to estimate the risk of perinatal hypoxic ischemic encephalopathy (HIE). The model accurately predicts HIE risk, identifying key risk and protective factors in the US population.
Area of Science:
- Obstetrics and Gynecology
- Neonatal Medicine
- Public Health
Background:
- Perinatal hypoxic ischemic encephalopathy (HIE) is a significant cause of neonatal morbidity and mortality.
- Accurate risk estimation is crucial for targeted prevention strategies and timely intervention.
Purpose of the Study:
- To develop and validate an evidence-based model for estimating case-specific risk of perinatal HIE.
- To identify novel risk factors for HIE in a diverse US population.
Main Methods:
- Retrospective, cross-sectional study of over 836,000 births in Hawaii, Michigan, and New Jersey (2010-2015).
- Utilized linked maternal and neonatal records.
- Employed stepwise logistic regression and Akaike information criterion for model parsimony.
- Assessed predictive ability using bootstrapped optimism-adjusted area under the ROC curve (AUC).
Main Results:
- Identified 376 cases of HIE (0.45 per 1000 births).
- The final model, including 28 variables, achieved an AUC of 0.84.
- Confirmed known risk factors (e.g., sentinel events, shoulder dystocia) and identified novel factors (maternal race, insurance status).
- Estimated population risk varied significantly, from 1 in ~323,000 to 1 in 2.5.
Conclusions:
- The developed model provides a high-confidence estimation of perinatal HIE risk.
- This model addresses a critical gap in HIE prevention, particularly considering US population disparities.
- Findings can inform clinical practice and public health initiatives for HIE prevention.
