# Development and validation of a multivariate nomogram for predicting retinopathy of prematurity in infants with gestational age ≤34 weeks

**Authors:** Leilei Shen, Ruixue Zheng, Xiaodong Sun, Sheng Chen

PMC · DOI: 10.3389/fped.2025.1576979 · Frontiers in Pediatrics · 2025-05-09

## TL;DR

This study creates a predictive tool to help doctors identify infants at high risk for retinopathy of prematurity based on five key clinical factors.

## Contribution

A novel nomogram was developed and validated for predicting retinopathy of prematurity in infants ≤34 weeks gestation.

## Key findings

- Five independent risk factors for ROP were identified: HDP, blood transfusions, OTT, OTC >50%, and blood glucose spikes.
- The nomogram achieved a high predictive accuracy with a C-index of 0.923.
- The model showed excellent calibration and practical utility for clinical decision-making.

## Abstract

To delineate risk factors and develop a predictive nomogram for retinopathy of prematurity (ROP) in infants with gestational age (GA) ≤34 weeks.

We conducted a comprehensive retrospective analysis of infants with GA ≤34 weeks, divided into ROP and non-ROP groups based on fundus screening results. Clinical and laboratory data were collected to identify risk factors associated with ROP. Multivariable logistic regression was performed to identify independent predictors, and a nomogram was developed to predict the occurrence of ROP in infants with GA ≤34 weeks.

Our analysis identified five independent risk factors for ROP in infants with GA ≤34 weeks: hypertensive disorders of pregnancy (HDP), number of blood transfusions, oxygen therapy time (OTT), oxygen therapy concentration (OTC) >50%, and blood glucose spikes in the first postnatal week. These predictors were incorporated into a nomogram to estimate individual ROP risk. The predictive model achieved a C-index of 0.923 (95% CI: 0.888–0.959), indicating high predictive accuracy. Internal validation of the nomogram demonstrated excellent calibration and practical utility for clinical decision-making.

The established predictive model, incorporating five key clinical parameters, offers clinicians a practical instrument to stratify ROP risk in neonates born at ≤34 weeks’ gestation. This clinical tool demonstrates significant utility in guiding intervention protocols, potentially enhancing patient outcomes through early identification and optimized management strategies.

ChiCTR2400086213.

## Linked entities

- **Diseases:** retinopathy of prematurity (MONDO:0006952)

## Full-text entities

- **Diseases:** HDP (MESH:D046110), ROP (MESH:D012178)
- **Chemicals:** blood glucose (MESH:D001786), oxygen (MESH:D010100)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12098479/full.md

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Source: https://tomesphere.com/paper/PMC12098479