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Assessing the risk factors and establishing multivariable prediction models for singleton macrosomia
Jinying Luo1,2,3, Wenyan Huang1,4, Suping Luo5
1College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China.
This study identified key risk factors for fetal macrosomia, such as maternal height and gestational weight gain, and developed a prediction model for early identification and intervention to improve neonatal and maternal health outcomes.
Area of Science:
- Obstetrics and Gynecology
- Neonatal Health
- Maternal Health
Background:
- Fetal macrosomia is associated with adverse neonatal and maternal outcomes.
- Early identification and prevention are crucial for mitigating risks.
Purpose of the Study:
- To evaluate risk factors for fetal macrosomia.
- To establish multivariable prediction models for early identification and management.
Main Methods:
- Retrospective case-control study of 800 singleton pregnant women.
- Categorization into macrosomia (birth weight ≥ 4,000 g) and non-macrosomia groups.
- Development of prediction models for mid-to-late pregnancy and pre-delivery.
Main Results:
- Identified risk factors: maternal height ≥ 165 cm, pre-pregnancy overweight/obesity, excessive second-trimester weight gain, abnormal glucose tolerance test.
- Pre-delivery risk factors: increased maternal abdominal circumference plus fundal length, fetal biparietal diameter, fetal head circumference, and fetal abdominal circumference.
- Prediction models demonstrated strong predictive value.
Conclusions:
- Key high-risk factors for macrosomia identified during the perinatal period.
- Developed prediction model enables early identification of macrosomia.
- Timely interventions based on the model can reduce adverse perinatal outcomes.
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