Predictive algorithms for early detection of retinopathy of prematurity

201645 citationsJournal Articlebronze Open Access

Authors

Stefano Piermarocchi · University of Padua

Silvia Bini · University of Padua

Ferdinando Martini · University of Padua

Marianna Berton · University of Padua

Anna Lavini · University of Verona

Elena Gusson · University of Verona

Giorgio Marchini ·

Abstract

ROPScore and CHOP ROP showed 100% sensitivity to identify sight-threatening ROP. Predictive algorithms are a reliable tool for early identification of infants requiring referral to an ophthalmologist, for reorganizing resources and reducing stressful procedures to preterm babies.

Topics & Keywords

Retinopathy of Prematurity Studies Neonatal Respiratory Health Research Neonatal Health and Biochemistry

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Acta Ophthalmologica

Volume 95, Issue 2, pp. 158-164

DOI: 10.1111/aos.13117

Field-Weighted Citation Impact: 4.17