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Customized Fetal Body Mass Index as a Better Predictive Marker for Neonatal Nutritional Status.
Juan Jesús Fernández Alba1,2, María Castillo Lara1, José Manuel Jiménez Heras2
1Department of Obstetrics and Gynaecology, University Hospital of Puerto Real, 11-510 Cadiz, Spain.
Diagnostics (Basel, Switzerland)
|April 12, 2025
Summary
A new fetal body mass index (BMI) model accurately predicts neonatal nutritional status, outperforming traditional weight percentile curves in diagnosing malnutrition and overnutrition.
Area of Science:
- Obstetrics and Gynecology
- Neonatal Medicine
- Fetal Development
Background:
- Accurate diagnosis of fetal nutritional status is crucial for pregnancy management.
- Existing methods for assessing fetal nutrition have limitations.
Purpose of the Study:
- To develop a novel model for prenatal assessment of fetal body mass index (BMI).
- To evaluate the diagnostic efficacy of this fetal BMI model in predicting neonatal nutritional status.
Main Methods:
- Retrospective cohort study involving 9,499 subjects.
- Development of a customized fetal BMI model based on fetal weight and length.
- Comparison of the new model's diagnostic performance against established methods (GROW, IG21st) using ROC curves.
Main Results:
- The new fetal BMI model demonstrated superior diagnostic capacity.
- Area under the ROC curve for malnutrition was 0.95, compared to 0.80 (IG21st) and 0.79 (GROW).
- Sensitivity and specificity for malnutrition assessment were 0.83 and 0.90, respectively.
Conclusions:
- The developed fetal BMI curve offers enhanced diagnostic accuracy for fetal and neonatal nutritional status.
- This new model surpasses traditional fetal weight percentile curves in predicting nutritional outcomes.
- The findings support the clinical utility of fetal BMI for improved prenatal and neonatal care.
