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When is the optimal time for delivery?--Purely from the fetuses' perspective
H Minakami1, H Kimura, Y Honma
1Department of Obstetrics and Gynecology, Jichi Medical School, Tochigi, Japan.
Gynecologic and Obstetric Investigation
|January 1, 1995
Summary
The extrauterine environment is safer for fetal survival after 40 weeks gestation for single births and 37 weeks for multiple births in Japan. This study analyzed over 4.9 million livebirths to determine optimal gestational age for neonatal survival.
Area of Science:
- Perinatal Medicine
- Neonatal Outcomes
- Public Health Statistics
Background:
- Assessing the optimal gestational age for fetal transition from intrauterine to extrauterine environments is crucial for neonatal survival.
- Understanding the comparative risks of stillbirth versus neonatal death at different gestational ages informs clinical practice and policy.
Purpose of the Study:
- To identify the gestational age at which the extrauterine environment becomes safer than the intrauterine environment for fetal (neonatal) life.
- To compare stillbirth risks with early neonatal and neonatal death risks across various gestational ages.
Main Methods:
- Analysis of a large dataset of 4,896,505 livebirths, 21,222 stillbirths, and 7,513 early neonatal deaths in Japan (1989-1992).
- Gestational age-specific risk assessment for stillbirth, early neonatal death, and neonatal death.
Main Results:
- At 26 weeks gestation, neonatal death risks exceeded stillbirth risk, but these risks declined sharply by 39 weeks for singleton pregnancies.
- Stillbirth risk surpassed neonatal death risk at and beyond 40 weeks for singletons and 37 weeks for multiples.
- Optimal neonatal outcomes were observed for neonates born at 39 weeks (singleton) and 37 weeks (multiple) gestation.
Conclusions:
- The extrauterine environment offers a higher chance of survival for fetuses reaching 40 weeks (singleton) and 37 weeks (multiple) gestation in contemporary Japan.
- These findings highlight critical gestational age thresholds for neonatal survival, informing delivery timing decisions.