Prevalence of retinopathy of prematurity in African preterm infants and evaluation of the accuracy of the WINROP predictive algorithm: an observational clinical study

Overall, the WINROP algorithm identified 91.7% of preterm infants who had been diagnosed and treated for type 1 ROP. Though it led to a high number of false alarms, especially in the most vulnerable infants. The algorithm's utility is likely greatest for the larger, more mature preterm infants. This confirms its usefulness to significantly reduce the number of preterm infants who need to go through stressful eye examinations in an African NICU setting where inadequate number of specialists is a major challenge.