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Predictors and Risk Scoring of Postnatal Growth Failure in Very-Low-Birth-Weight Infants
Nutcha Singhasem1, Gunlawadee Maneenil1, Anucha Thatrimontrichai1
1Division of Neonatology, Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.
Insights
Postnatal growth failure (PGF) affects many very-low-birth-weight (VLBW) infants. Key risk factors include low birth weight, multiple births, and pregnancy complications, aiding early identification and intervention.
Area of Science:
- Neonatalogy
- Pediatric Growth and Development
- Perinatal Medicine
Background:
- Postnatal growth failure (PGF) is a significant concern in very-low-birth-weight (VLBW) infants.
- Early identification of neonates at risk for PGF is crucial for timely intervention.
Purpose of the Study:
- To identify factors associated with PGF in VLBW infants.
- To develop a predictive model for early risk stratification of neonates susceptible to PGF.
Main Methods:
- Retrospective cohort study of VLBW infants (2014-2024).
- PGF defined using the 2013 Fenton growth chart.
- Multivariate logistic regression and receiver operating characteristic (ROC) curve analysis were employed.
Main Results:
- Among 481 VLBW infants, 69.4% experienced PGF.
- Significant predictors included birth weight < 750 g and 750-1000 g, multiple births, pregnancy-induced hypertension, oligohydramnios, lack of antenatal corticosteroids, and formula/mixed feeding.
- The developed risk score demonstrated good predictive performance (AUC 0.736).
Conclusions:
- Low birth weight (<1000 g), multiple births, pregnancy-induced hypertension, oligohydramnios, absence of antenatal corticosteroids, and specific feeding methods are key predictors of PGF.
- The derived risk score can aid in early identification and targeted nutritional support for at-risk VLBW infants.
Abstract:
Objectives: To identify factors associated with postnatal growth failure (PGF) in very-low-birth-weight (VLBW) infants and to develop a model for the early identification of neonates at risk. Methods: This retrospective cohort study included VLBW infants born between 2014 and 2024. PGF was defined using the 2013 Fenton growth chart. Multivariate logistic regression was used to identify predictors of PGF, and a weighted risk score was derived from their relative contributions. Model performance was evaluated using a receiver operating characteristic (ROC) curve. Results: Among 481 VLBW infants, 334 (69.4%) had PGF. Independent predictors were birth weight < 750 g (adjusted odds ratio [aOR] 8.11; 95% confidence interval [CI], 3.01-21.83), birth weight 750-1000 g (aOR 2.39; 95% CI, 1.35-4.21), multiple births (aOR 2.82; 95% CI, 1.71-4.67), pregnancy-induced hypertension (PIH) (aOR 3.32; 95% CI, 2.02-5.46), oligohydramnios (aOR 4.08; 95% CI, 1.68-9.92), no antenatal corticosteroid exposure (aOR 2.97; 95% CI, 1.65-5.36), and formula or mixed feeding (aOR 1.69; 95% CI, 1.08-2.64). The model showed good discrimination for scores ≥2 (area under the ROC curve, 0.736; sensitivity, 71.6%; specificity, 64.5%). Conclusions: Birth weight < 1000 g, multiple births, PIH, oligohydramnios, no antenatal corticosteroid exposure, and formula or mixed feeding were significant predictors of PGF. The score may support early risk stratification and prompt closer nutritional surveillance.
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