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Early Nutritional Patterns and Metabolic Biomarkers Associated with ROP Severity
Laura Bujoreanu Bezman1,2, Carmen Tiutiuca2,3, Florin Ciprian Bujoreanu2
1Department of Ophthalmology, "Sf. Ioan" Emergency Clinical Hospital for Children, 800487 Galati, Romania.
Insights
Early enteral feeding and natural feeding protect against retinopathy of prematurity (ROP) progression. Metabolic markers like hepatic, renal, and glucose levels correlate with ROP severity in preterm infants.
Area of Science:
- Neonatalogy
- Ophthalmology
- Pediatric Nutrition
Background:
- Retinopathy of prematurity (ROP) is a major cause of preventable childhood blindness.
- ROP severity is linked to nutrition, metabolism, and systemic factors in preterm infants.
Purpose of the Study:
- To assess the association between early nutrition and metabolic parameters with ROP severity.
- To identify potential predictors of ROP progression in preterm infants.
Main Methods:
- Retrospective study of 140 preterm infants (280 eyes) using International Classification of Retinopathy of Prematurity (ICROP) criteria.
- Collected data on feeding (enteral, parenteral, natural), duration, and serum biomarkers (ALT, AST, total protein, glucose, urea, creatinine) within 28 days of life.
- Statistical analysis using Kruskal-Wallis and Chi-square tests (p < 0.05).
Main Results:
- ROP observed in 53.57% of infants; earlier enteral feeding correlated with less severe ROP.
- Delayed nutrition and prolonged parenteral nutrition linked to advanced ROP stages.
- Severe ROP associated with elevated AST, ALT, urea, creatinine, and lower total protein; glycemic instability noted in stages 2-3.
Conclusions:
- Early enteral and natural feeding show a protective effect against ROP progression.
- Hepatic, renal, and glycemic parameters correlate with ROP severity, reflecting infant vulnerability.
- Integrating nutritional and metabolic assessments into routine screening can improve ROP risk identification and monitoring.
Abstract:
Background and Objectives: Retinopathy of prematurity (ROP) remains a leading cause of preventable childhood blindness, with its severity influenced by a complex interaction between nutritional status, metabolic maturation, and systemic vulnerability. This study aimed to evaluate whether early nutritional patterns and serum metabolic parameters, including hepatic and renal biomarkers, are associated with ROP severity and whether they may serve as potential predictors of disease progression. Materials and Methods: We conducted a retrospective study on 140 preterm infants, totaling 280 eyes, admitted between 2021 and 2024 in two neonatal intensive care units (NICU). Each eye was analyzed independently according to International Classification of Retinopathy of Prematurity (ICROP) criteria. Data on the timing of enteral feeding, duration and type of nutrition, and serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total protein, blood glucose, urea and creatinine were collected throughout the first 28 days of life. Statistical analysis included Kruskal-Wallis and Chi-square tests, with a significance threshold of p < 0.05. Results: ROP was identified in 53.57% of cases. Enteral feeding began earlier in infants without ROP, whereas delayed initiation and prolonged parenteral nutrition were associated with more advanced stages. Natural feeding decreased with increasing severity and was absent in aggressive retinopathy of prematurity (A-ROP). Severe disease stages showed higher AST, ALT, urea and creatinine levels, along with lower early total protein values. Glycemic instability was observed more frequently in stage 2 and stage 3. Conclusions: Early nutritional support, especially early enteral feeding and natural feeding, appears protective against ROP progression. Hepatic, renal and glycemic metabolic changes are closely correlated with disease severity, indicating that metabolic balance reflects overall vulnerability in preterm infants. Incorporating nutritional and metabolic assessment into routine screening may enhance early risk identification and optimize clinical monitoring.
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