Application of WINROP to predict severe retinopathy of prematurity in a multi-ethnic cohort in Singapore.

Aim: To investigate the validity of WINROP use in multi-ethnic population in a tertiary centre in Singapore.

Methods: Birth weight, gestational age, and weekly weight measurements of four hundred two preterm infants (<32 weeks gestation) born between year 2011 and 2019 were entered into WINROP algorithm. Based on their weekly weight gain, WINROP algorithm would signal an alarm if the infant is at risk for type 1 ROP requiring treatment.