ArticleActa ophthalmologica2025
Predicting the risk of treatment-requiring retinopathy of prematurity in preterm infants in Greece. External validation of DIGIROP prognostic models.
Article in Acta ophthalmologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Validation of the DIGIROP 2.0 Models in predicting the risk of treatment-requiring retinopathy of prematurity in a Taiwanese cohort.Eye (London, England) · 2026Article
- Prediction of retinopathy of prematurity using machine learning models.Pediatric research · 2026Article
- 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
- Predicting the risk of treatment-requiring retinopathy of prematurity in preterm infants in Greece. External validation of DIGIROP prognostic models.Acta ophthalmologica · 2025Article
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9 authors.
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Abstract
purposeTo assess the predictive performance of DIGIROP-v1.0 models in identifying treatment-requiring ROP among infants undergoing ROP screening at a tertiary neonatal intensive care unit in Greece.
methodsRetrospective cohort analysis of 640 consecutive screened preterm infants with gestational age (GA) 24
resultsThe DIGIROP-Birth-v1.0 model correctly identified 35/43 treated infants (sensitivity 81.4% [95% CI, 66.6%-91.6%], specificity 61.5% [95% CI, 57.4%-65.4%], AUC 0.82 [95% CI, 0.75-0.90]). During the postnatal weeks 6-14 the sensitivity of the DIGIROP-Screen-v1.0 model ranged from 82.6% to 100%. Eleven infants, all with severe comorbidities, that is, congenital malformation(s), syndrome(s), hydrocephalus or history of intestinal surgery, that were treated, were missed by the model, but met criteria for screening according to DIGIROP-v1.0 models' recommendations, and to our unit's routine standards.
conclusionThe DIGIROP-v1.0 models resulted in lower sensitivity and higher specificity in this Greek cohort compared with the Swedish development group. Despite higher GA and BW, infants in our cohort had higher incidence of treated ROP than in Sweden, resulting in an under-estimation of their risk for treatment-requiring ROP. Further validation of the DIGIROP-v2.0 models and potential adjusting are recommended to maximize generalizability in populations with different characteristics.
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