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Prevalence and factors associated with preterm small-for-gestational-age neonates: a multi-center survey in China
1Department of Neonatology, Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Shinan District, Qingdao, 266003, China. zhangyijie@qdu.edu.cn.
Insights
Preterm small-for-gestational-age (SGA) infants face significant risks, with varying factors influencing outcomes based on gestational age. Hypertension disorders in pregnancy and placental abruption are key predictors for early preterm SGA, necessitating tailored interventions.
Area of Science:
- Neonatal Health
- Perinatal Medicine
- Global Health Challenges
Background:
- Small-for-gestational-age (SGA) infants pose significant global health risks, contributing to neonatal mortality and long-term developmental issues.
- The risks associated with SGA infants are amplified when they are also born preterm, yet research in this specific population remains limited.
Purpose of the Study:
- To investigate the prevalence of preterm SGA infants in China.
- To identify factors associated with preterm SGA neonates across different gestational age subgroups.
Main Methods:
- A retrospective descriptive cross-sectional study was conducted across 23 Chinese provinces between 2011 and 2017.
- Data on maternal characteristics and medical history were collected from medical records.
- Multinomial multivariate logistic regression was employed to compare preterm SGA subgroups with appropriate-for-gestational-age (AGA) preterm infants.
Main Results:
- The prevalence of preterm SGA infants was 7.9% among singleton live-birth preterm infants.
- Hypertension disorders in pregnancy (HDP) and Category III fetal heart rate tracings were significantly associated with preterm SGA across subgroups.
- HDP was a strong predictor for early preterm SGA (<32 weeks), while Category III fetal heart rate tracings and oligohydramnios were more predictive of moderate preterm SGA (32-33 weeks). Placental abruption was also strongly associated with early and moderate preterm SGA.
Conclusions:
- Preterm SGA infants exhibit distinct risk profiles based on gestational age subgroups.
- Hypertension disorders in pregnancy and placental abruption are critical factors for early preterm SGA.
- Interventions for preterm SGA should be tailored to specific gestational age categories for improved prevention and management.
Purpose:
Small-for-gestational-age (SGA) infants represent major global health challenges, contributing significantly to neonatal mortality and long-term developmental morbidity. When compounded by preterm birth, the risks for adverse neonatal and long-term outcomes escalate dramatically. Research on preterm SGA neonates remains limited. This study aims to explore the prevalence and factors associated with preterm SGA neonates in China to break through the bottleneck of disease prevention and treatment.
Methods:
A retrospective descriptive cross-sectional study was conducted in 23 provinces in China from 2011 to 2017. Detailed information on maternal characteristics, medical history was collected from medical records. The χ2 test was used to compare the frequencies among categorical data and multinomial multivariate logistic regression was used to compare SGA preterm subgroups (< 32weeks, 32+ 0~33+ 6weeks, 34+ 0~36+ 6weeks) with appropriate-for-gestational-age(AGA) preterm group.
Results:
The prevalence of preterm SGA infants was 7.9%(1267/15734) in all singleton live-birth preterm infants. 159 preterm SGA infants at < 32weeks, 124 preterm SGA infants at 32 ~ 33weeks, 984 preterm SGA infants at 34 ~ 36weeks compared with 12,973 AGA infants. Hypertension disorders in pregnancy (HDP) and Category III fetal heart rate tracings were strongly associated with three preterm SGA subgroups. HDP was the strongest factor for preterm SGA at < 32weeks( aOR = 8.180, 95% CI 5.778 ~ 11.582). Category III fetal heart rate tracings was the factor with the highest OR value for preterm SGA at 32 ~ 33weeks (aOR = 4.785, 95% CI 3.049-7.508). Placental abruption was strongly associated with preterm SGA at < 32weeks (aOR = 7.073, 95% CI 3.102 ~ 16.127) and 32 ~ 33weeks(aOR = 6.055, 95% CI 2.309 ~ 15.878). Oligohydramnios(aOR = 6.526, 95% CI 2.309 ~ 16.887) was strongly associated with preterm SGA at 32 ~ 33weeks. GDM was a protective factor for preterm SGA at 34 ~ 36weeks(aOR = 0.516, 95% CI 0.343 ~ 0.778).
Conclusion:
Different preterm SGA subgroups had different risk profiles. HDP and placenta abruption were more predictive of early preterm SGA. Category III fetal heart rate tracings and oligohydramnios were more predictive of moderate preterm SGA. GDM was a protective factor for late preterm SGA. Consequently, we underscore the importance of creating interventions that are tailored to particular gestational ages, rather than adopting a generalized approach, in order to effectively prevent preterm SGA outcomes.
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