Next Article in Journal
Applying the New Inflammation Criterion Impairs GLIM Validity in Hospitalized Patients with Acute Medical Conditions
Previous Article in Journal
Oral Choline Reduced Working Memory-Related Brain Activation in Postmenopausal Women: A Pilot Study
Previous Article in Special Issue
Nutrition Strategies for the Preterm Infant with Bronchopulmonary Dysplasia
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Predictors and Risk Scoring of Postnatal Growth Failure in Very-Low-Birth-Weight Infants

by
Nutcha Singhasem
,
Gunlawadee Maneenil
*,
Anucha Thatrimontrichai
,
Manapat Praditaukrit
and
Supaporn Dissaneevate
Division of Neonatology, Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand
*
Author to whom correspondence should be addressed.
Nutrients 2026, 18(3), 460; https://doi.org/10.3390/nu18030460
Submission received: 6 January 2026 / Revised: 24 January 2026 / Accepted: 27 January 2026 / Published: 30 January 2026
(This article belongs to the Special Issue Effects of Early Nutrition on Premature Infants (2nd Edition))

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.
Keywords: extrauterine growth retardation; predictions; postnatal growth failure; preterm infant; risk factors extrauterine growth retardation; predictions; postnatal growth failure; preterm infant; risk factors

Share and Cite

MDPI and ACS Style

Singhasem, N.; Maneenil, G.; Thatrimontrichai, A.; Praditaukrit, M.; Dissaneevate, S. Predictors and Risk Scoring of Postnatal Growth Failure in Very-Low-Birth-Weight Infants. Nutrients 2026, 18, 460. https://doi.org/10.3390/nu18030460

AMA Style

Singhasem N, Maneenil G, Thatrimontrichai A, Praditaukrit M, Dissaneevate S. Predictors and Risk Scoring of Postnatal Growth Failure in Very-Low-Birth-Weight Infants. Nutrients. 2026; 18(3):460. https://doi.org/10.3390/nu18030460

Chicago/Turabian Style

Singhasem, Nutcha, Gunlawadee Maneenil, Anucha Thatrimontrichai, Manapat Praditaukrit, and Supaporn Dissaneevate. 2026. "Predictors and Risk Scoring of Postnatal Growth Failure in Very-Low-Birth-Weight Infants" Nutrients 18, no. 3: 460. https://doi.org/10.3390/nu18030460

APA Style

Singhasem, N., Maneenil, G., Thatrimontrichai, A., Praditaukrit, M., & Dissaneevate, S. (2026). Predictors and Risk Scoring of Postnatal Growth Failure in Very-Low-Birth-Weight Infants. Nutrients, 18(3), 460. https://doi.org/10.3390/nu18030460

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop