Related Experiment Video
Updated: Aug 20, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Predicting neonatal outcomes: birthweight, body mass index or ponderal index?
Hala Tamim1, Hind Beydoun, Mohammad Itani
1Department of Epidemiology and Biostatistics, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Aims:
To compare birthweight (BW), body mass index (BMI) and ponderal index (PI) as predictors of selected short-term (ST) outcomes, namely Neonatal Intensive Care Unit (NICU) admission and prolonged hospitalization (PH), among newborn (NB) infants.
Methods:
Data was collected prospectively on 9,226 infants born during one year at nine tertiary care hospitals in Greater Beirut, Lebanon. The predictive abilities of BW, BMI and PI were compared using the area under the receiver operator characteristic (ROC) curves and sensitivity analysis was performed at the optimal cut-off points for the best anthropometric measurement.
Results:
The area under the ROC curve suggested superior discriminative power for BW as compared to BMI or PI, as a predictor of NICU admission (ROC area = 0.73) and PH (ROC area = 0.74). The optimal BW cut-off point was 2750 g (sensitivity: 0.49; specificity: 0.89) and 2950 g (sensitivity: 0.62; specificity: 0.78) for NICU admission and PH, respectively.
Conclusion:
In our population of NB infants, BW--a crude measure of fetal growth--is a better predictor than either BMI--a measure of adiposity in adults and children--or PI--a measure of thinness at birth--for selected ST outcomes in NB infants.
More Related Videos
Related Concept Videos
z Scores and Area Under the Curve
Regression Toward the Mean
Normal Distribution

