ArticleInternational journal of ophthalmology2024
Nomogram to predict severe retinopathy of prematurity in Southeast China.
Article in International journal of ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 0 citations in OpenAlex.
- External validation and updating of DIGIROP prediction models including parenteral nutrition for treatment-requiring retinopathy of prematurity in a Swedish national cohort.BMJ open ophthalmology · 2026Article
- Systematic review and meta-analysis of risk prediction models for retinopathy of prematurity in preterm infants.Biomedical reports · 2025Article
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Authors and funding
10 authors at 1 institution in 1 country.
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Abstract
aimTo define the predictive factors of severe retinopathy of prematurity (ROP) and develop a nomogram for predicting severe ROP in southeast China.
methodsTotally 554 infants diagnosed with ROP hospitalized in the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University and hospitalized in Taizhou Women and Children's Hospital were included. Clinical data and 43 candidate predictive factors of ROP infants were collected retrospectively. Logistic regression model was used to identify predictive factors of severe ROP and to propose a nomogram for individual risk prediction, which was compared with WINROP model and Digirop-Birth model.
resultsInfants from the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University (
conclusionBirth weight, multiple births, and non-invasive ventilation are independent predictors of severe ROP. The nomogram has a good ability to predict severe ROP and performed well on internal validation and external validation in southeast China.
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