Assessment of the G-ROP study criteria for predicting retinopathy of prematurity: results from a tertiary centre in Turkey

Abstract

Purpose: The postnatal growth and retinopathy of prematurity (G-ROP) study has proposed a new model for retinopathy of prematurity (ROP) prediction based on gestational age, birth weight and postnatal weight gain. The purpose of the current study is to assess the efficacy of the G-ROP model for predicting ROP among a Turkish cohort of premature infants. Methods: Records of infants who underwent ROP screening examinations between 2012 and 2019 were reviewed retrospectively. Infants with a documented ROP outcome and regular body weight measurements until day 40 of life were included. The G-ROP model was applied to the study group. The outcome measures were sensitivity and specificity of the model for detecting any stage ROP and treated ROP. Results: A total of 242 infants were included. The G-ROP model identified 168 infants to be screened for ROP. The sensitivity was 88.3% for detecting any stage ROP and 91.2% for treated ROP. The specificity for any stage ROP and treated ROP was 51.7% and 34.1%, respectively. The incorporation of bronchopulmonary dysplasia to the model increased the sensitivity to 100% with 22.7% reduction in the number of screened infants. Conclusions: The G-ROP model is a simple and effective method for ROP prediction. However, in the current cohort, a small number of infants requiring treatment would be missed if G-ROP criteria were applied. The model may be modified with addition of bronchopulmonary dysplasia to detect all treatment requiring cases. Prospective studies among larger groups are necessary to assess the applicability of the modified model. © 2020 Elsevier B.V., All rights reserved.