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Published on: September 16, 2020
Retrospective comparison between growth and retinopathy of prematurity model versus WINROP model
Ana C Almeida1, Teresa Sandinha2, Rita Azevedo3
1Department of Ophthalmology, Hospital Beatriz Angelo, Loures, Portugal; Neonatal Intensive Care Unit, Hospital São Francisco Xavier - Centro Hospitalar de Lisboa Ocidental, Lisbon, Portugal; CEDOC, NOVA Medical School - Universidade Nova de Lisboa, Lisbon, Portugal; Department of Ophthalmology, Hospital da Luz, Lisbon, Portugal.
Insights
The Weight and Insulin-like Growth Factor-1 in Neonatal Retinopathy (WINROP) and Growth and Retinopathy of Prematurity (G-ROP) models showed similar sensitivity for detecting type 1 retinopathy of prematurity. Both models achieved 100% sensitivity for infants with gestational age <30 weeks.
Area of Science:
- Neonatology
- Ophthalmology
- Pediatric Growth
Background:
- Retinopathy of prematurity (ROP) is a significant cause of visual impairment in premature infants.
- Accurate and timely detection of ROP is crucial for effective treatment and prevention of vision loss.
- The Weight and Insulin-like Growth Factor-1 in Neonatal Retinopathy (WINROP) and Growth and Retinopathy of Prematurity (G-ROP) models are used for ROP screening.
Purpose of the Study:
- To compare the diagnostic performance of the WINROP and G-ROP models in a Portuguese cohort.
- To evaluate the sensitivity and specificity of both models for identifying type 1 ROP.
- To assess model performance specifically in preterm infants with gestational age (GA) less than 30 weeks.
Main Methods:
- Retrospective review of clinical records of infants screened for ROP between April 2012 and May 2019.
- Analysis of sensitivity and specificity for type 1 ROP using both WINROP and G-ROP algorithms.
- Subgroup analysis for infants with GA <30 weeks.
Main Results:
- Of 375 infants, 313 were analyzed with G-ROP and 311 with WINROP.
- G-ROP identified type 1 ROP in 22 infants (sensitivity 90.91%).
- WINROP identified 23 infants requiring treatment (sensitivity 86.96%).
- Both models achieved 100% sensitivity for type 1 ROP in infants with GA <30 weeks.
Conclusions:
- The WINROP and G-ROP models demonstrated comparable sensitivities for detecting type 1 ROP.
- Both models are user-friendly and effective screening tools.
- For infants with GA <30 weeks, both models successfully identified all cases of type 1 ROP.
Objective:
To compare the weight and insulin-like growth factor-1 in neonatal retinopathy (WINROP) to the growth and retinopathy of prematurity (G-ROP) model in a Portuguese cohort.
Design:
Retrospective case series.
Methods:
Clinical records of consecutive infants who underwent retinopathy of prematurity (ROP) screening from April 2012 to May 2019 were retrospectively reviewed. Both WINROP and G-ROP models were accessed for sensitivity and specificity for type 1 ROP. A separate analysis of both algorithms was performed in infants with gestational age (GA) <30 weeks.
Results:
Of the 375 infants included in the study, 313 were eligible for G-ROP analysis and 311 for WINROP. In the G-ROP group, 22 infants developed type 1 ROP (sensitivity 90.91%, 95% confidence interval [CI] 70.84%-98.98%). In the WINROP group, 23 infants needed treatment (sensitivity of 86.96%, 95% CI 66.41%-97.22%). Both models reached 100% sensitivity for type 1 ROP if restricted to GA <30 weeks.
Conclusions:
Both models were easy to use and had similar sensitivities. If restricted to GA <30 weeks, both models detected all type 1 ROP.

