A case-control study of hypoxic-ischemic encephalopathy in newborn infants at >36 weeks gestation
Autor: | Michael Geary, Breda Hayes, T. G. Matthews, Siobhan Mulvany, Mary D. King, Cliona McGarvey, John Kennedy |
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Rok vydání: | 2013 |
Předmět: |
Male
Meconium Pediatrics medicine.medical_specialty Encephalopathy Oligohydramnios Logistic regression Hypoxic Ischemic Encephalopathy Pregnancy Risk Factors Odds Ratio Humans Medicine Asphyxia Neonatorum business.industry Infant Newborn Case-control study Obstetrics and Gynecology Fetal Bradycardia medicine.disease Obstetric Labor Complications Logistic Models Case-Control Studies Hypoxia-Ischemia Brain Gestation Female business |
Zdroj: | American Journal of Obstetrics and Gynecology. 209:29.e1-29.e19 |
ISSN: | 0002-9378 |
DOI: | 10.1016/j.ajog.2013.03.023 |
Popis: | Objective The purpose of this study was to determine risk factors that are associated with hypoxic ischemic encephalopathy (HIE). Study Design This was a case-control study that included newborn infants with HIE who were admitted to the hospital between January 2001 and December 2008. Two control newborn infants were chosen for each case. Logistic regression and classification and regression tree (CART) analysis that compared control infants and cases with grade 1 HIE and control infants and cases with grades 2 and 3 HIE was performed. Results Two hundred thirty-seven cases (newborn infants with grade 1 encephalopathy, 155; newborn infants with grade 2 encephalopathy, 61; newborn infants with grade 3 encephalopathy, 21) and 489 control infants were included. Variables that were associated independently with HIE included higher grade meconium, growth restriction, large head circumference, oligohydramnios, male sex, fetal bradycardia, maternal pyrexia and increased uterine contractility. CART analysis ranked high-grade meconium, oligohydramnios, and the presence of obstetric complications as the most discriminating variables and defined distinct risk groups with HIE rates that ranged from 0–86%. Conclusion CART analysis provides information to help identify the time at which intervention in labor may be of benefit. |
Databáze: | OpenAIRE |
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