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WINROP can modify ROP screening praxis: a validation of WINROP in populations in Sörmland and Västmanland
Laila Eriksson1, Ulrika Lidén2, Chatarina Löfqvist3
1Ophthalmology Department, Västmanland Hospital in Västerås, Västerås, Sweden.
Insights
The WINROP algorithm effectively detects retinopathy of prematurity (ROP) in premature infants. This tool identified all infants at risk for severe ROP, enabling earlier intervention.
Area of Science:
- Neonatal ophthalmology
- Medical device validation
Background:
- Retinopathy of prematurity (ROP) is a significant cause of visual impairment in premature infants.
- Early detection and treatment are crucial to prevent severe visual outcomes.
- The WINROP algorithm was developed to aid in the early identification of ROP requiring treatment.
Purpose of the Study:
- To validate the newly developed WINROP algorithm for early detection of ROP.
- To assess the algorithm's performance in identifying ROP that necessitates treatment.
Main Methods:
- Prospective and retrospective study conducted at two Swedish hospitals.
- 104 premature infants with a mean gestational age of 28.7 weeks and mean birth weight of 1208 g participated.
- WINROP algorithm utilized weekly weight measurements to calculate ROP risk.
Main Results:
- 80% of infants had no ROP, 15% had mild ROP, and 5% had severe ROP.
- 2% of infants required treatment for ROP.
- WINROP alarms were triggered at an average of 2 weeks postnatal age, preceding conventional screening.
Conclusions:
- WINROP demonstrated 100% sensitivity in identifying infants at risk for stage 3 ROP.
- The algorithm achieved 59% specificity.
- WINROP can serve as a valuable adjunct to conventional ROP screening protocols, enabling earlier detection and intervention.
Background:
This study validates the newly developed WINROP algorithm aimed at detecting retinopathy of prematurity (ROP) requiring treatment at an early stage. The study was conducted at two middle-sized hospitals in Sweden, prospectively and retrospectively.
Methods:
A total of 104 children participated in this study. Their mean gestational age at birth was 28.7 weeks (range, 23.6-32.1 weeks), and their mean birth weight was 1208 g (range, 477-2340 g). Weekly weight measurements were used in WINROP to calculate the risk of developing ROP.
Results:
80% of infants (83/104) had no ROP, 15% (16/104) had mild ROP (stage 1 or 2), 5% (5/104) had severe ROP, and 2% (2/104) were treated for ROP. The alarm was registered at an average of 2 weeks postnatal age (range 1-6 weeks).
Conclusions:
WINROP identified all the infants at risk for developing stage 3 ROP (100% sensitivity) and had a 59% specificity. The alarm was registered several weeks before screening for ROP began. WINROP can be used to complement conventional ROP screening.
