Predicting Mortality in Extremely Preterm Infants
Author Information
Author(s): Dai Zhenyuan, Zhong Xiaobing, Chen Qian, Chen Yuming, Pan Sinian, Ye Huiqing, Tang Xinyi
Primary Institution: The Third Affiliated Hospital, Sun Yat-sen University
Hypothesis
This study aims to identify early neonatal factors predicting pre-discharge mortality among extremely preterm or extremely low birth weight infants.
Conclusion
The study identified six significant predictors for pre-discharge mortality, emphasizing modifiable factors that can guide early clinical management.
Supporting Evidence
- Six predictors were identified that significantly correlated with pre-discharge mortality.
- Using pulmonary surfactant was associated with a 33% reduction in mortality risk.
- Each additional point in Apgar score at 5 minutes correlated with a 17% lower mortality risk.
- Every 10% increase in maximum FiO2 was associated with a 17% higher mortality risk.
- UVC use significantly correlated with reduced mortality risks compared to PICC.
- Twins or multiple births had a 2.03 times higher mortality risk compared to singletons.
Takeaway
Doctors can use certain early signs in very small babies to guess how likely they are to survive before going home from the hospital.
Methodology
A retrospective analysis of 211 neonates born <28 weeks of gestation or with a birth weight <1000 g, using LASSO–Cox regression and stepwise Cox regression to identify predictive factors.
Potential Biases
Potential bias due to the retrospective nature of the study and the limited number of factors considered.
Limitations
The study is limited by its single-center design and the exclusion of factors influencing mortality after the first day of life.
Participant Demographics
Neonates born <28 weeks of gestation or with a birth weight <1000 g, with a mortality rate of 43.6%.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI: 0.775–0.885
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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