Post-natal weight gain to predict retinopathy of prematurity in Australia

Abstract

Purpose: Postnatal weight gain based Retinopathy of Prematurity (ROP) prediction algorithms have great potential to influence the clinical management of ROP. To our knowledge, this is the first study to validate these ROP prediction algorithms (WINROP, CHOP-ROP and CO-ROP) in anAustralian population. Method: This study aims to determine the sensitivity of these algorithms in a population of 80 neonates with sight threatening ROP born between September 2010 and December 2015 in the busiest maternity unit in Australia. Weekly weight measurements were used in WINROP and CHOPROP, and weight gain at 28 days were used in CO-ROP to predict the risk of developing sight-threatening ROP. Results: The mean gestational age at birth was 26.1 weeks and mean birth weight 777 grams. The sensitivities for WINROP, CHOPROP and CO-ROP were respectively 93%, 86%, and 96%. All three algorithms failed to flag as high risk at least one neonate who required treatment for sight-threatening ROP. When used together, these algorithms detected all neonates who required treatment for sightthreatening ROP. Conclusion: There is potential for these algorithms to screen for sight-threatening ROP in an Australian population if utilised in combination. Future research is needed to determine the specificities of the combined algorithms and the number of reduced eye examinations required to adequately screen for ROP.L6192847742017-11-21 <br />