Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort

Background/Aims Retinopathy of prematurity (ROP) is currently diagnosed through repeated eye examinations to find the low percentage of infants that fulfil treatment criteria to reduce vision loss. A prediction model for severe ROP requiring treatment that might sensitively and specifically identify infants that develop severe ROP, DIGIROP-Birth, was developed using birth characteristics. DIGIROP-Screen additionally incorporates first signs of ROP in different models over time. The aim was to validate DIGIROP-Birth, DIGIROP-Screen and their decision support tool on a contemporary Swedish cohort. Methods Data were retrieved from the Swedish national registry for ROP (2018-2019) and two Swedish regions (2020), including 1082 infants born at gestational age (GA) 24 to Funding Agencies|Swedish Medical Research CouncilSwedish Medical Research Council (SMRC)European Commission [2016-01131]; Gothenburg Medical Society and Government grants under the ALF agreement [ALFGBG-717971]; De Blindas Vanner; National Eye InstituteUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Eye Institute (NEI) [EY017017, EY030904]; National Institute of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [1U54HD090255]