Retrospective cohort evaluation of postnatal growth and retinopathy of prematurity (G‐ROP) criteria in a tertiary centre in Turkey

Abstract

AbstractPurposeThe postnatal growth and retinopathy of prematurity (G‐ROP) study has proposed a new model to increase the effectiveness of screening retinopathy of prematurity (ROP). The present study aimed to evaluate the effectiveness of the G‐ROP model in a tertiary centre in Turkey.MethodsThe medical records of infants screened for ROP in our hospital between January 2018 and December 2022 were reviewed retrospectively. Babies with a documented ROP result and regular body weight measurements up to the 40th day of life were included in the study, and the G‐ROP model was applied. The sensitivity of the G‐ROP prediction model in detecting treated ROP, Type 1 ROP, Type 2 ROP, and low‐grade ROP and the reduction in the number of babies to be screened by applying the model were calculated.ResultsThe G‐ROP model was applied to a total of 242 infants. While 194 babies were determined for screening, 22 of them were treated. The sensitivity to predict treated ROP was 100%, and the specificity was 21.8%. The model successfully predicted all cases of Type 1 ROP in the cohort, while the sensitivity was 90.9% for Type 2 ROP and 90.7% for low‐grade ROP. The G‐ROP model reduced the number of infants requiring screening by 19.8% in our study.ConclusionsThe G‐ROP model was successfully validated in our cohort in detecting treated ROP and Type 1 ROP, reducing the number of infants requiring screening by approximately 1 in 5.