Early prediction of severe retinopathy of prematurity requiring laser treatment using physiological data.

ABSTRACT:

Background

Early risk stratification for developing retinopathy of prematurity (ROP) is essential for tailoring screening strategies and preventing abnormal retinal development. This study aims to examine the ability of physiological data during the first postnatal month to distinguish preterm infants with and without ROP requiring laser treatment.

Methods

In this cohort study, preterm infants with a gestational age <32 weeks and/or birth weight <1500 g, who were screened for ROP were included. Differences in the physiological data between the laser and non-laser group were identified, and tree-based classification models were trained and independently tested to predict ROP requiring laser treatment.

Results

In total, 208 preterm infants were included in the analysis

SUBMITTER: Poppe JA 

PROVIDER: S-EPMC10382319 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature