Neonatal Hypoxic Ischemic Encephalopathy Clinical Trial
Official title:
Antenatal and Intrapartum Risk Factors Associated With Neonatal Hypoxic Ischemic Encephalopathy
Perinatal asphyxia is a major cause of hypoxic Ischemic encephalopathy (HIE), perinatal death
and long term neurodisability. This can be devastating for the individual and their family;
the healthcare and litigation costs notwithstanding. In recent years have attempted to
quantify the effect, and wider impact of intrapartum compromise, as well as the underlying
mechanisms for it. After a poor outcome related to intrapartum care parents and healthcare
practitioners often strive to understand whether the event could have been predicted and/or
prevented. This can be difficult to answer, at least partly related to the heterogeneous
fetal response to perinatal asphyxia. Mothers and the maternity service are increasingly
encouraged to personalize care and their choices around the birth process, however the
information required to guide these choices is most often missing. This makes it difficult
for women and professionals to make an informed choice about their care, including the safest
mode of birth for them and their baby.
Aim of the study: Identifying antenatal and intrapartum risk factors associated with neonatal
hypoxic ischemic encephalopathy.
Antenatal, perinatal and postpartum data will be documented from the medical notes and from
parental reports including;
- Booking factors (maternal age, smoking, parity, previous lower segment caesarean section
(LSCS), multiple births)
- Antenatal factors (preeclampsia, gestational diabetes, prelabor abruption, placenta
previa, oligohydramnios, polyhydramnios, threatened preterm labor, gender, concerns of
IUGR infant)
- Labor factors (induction of labor, pre-labor rupture of membranes, planned LSCS,
gestation at birth, presentation, prelabor breech, breech delivery, duration of ruptured
membranes).
- Infant characteristics included GA, gender, birth weight (BW), head circumference, and
multiplicity.
- Clinical signs, examination findings and laboratory data also will be included. Most
covariates will be extracted from patient's notes, routine data collection or as part of
a routine clinical database.
Data will be processed and analyzed using SPSS software and the results will be processed in
tables and figures.
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