Individual Risk Prediction for Sight-Threatening Retinopathy of Prematurity Using Birth Characteristics.

ABSTRACT:

Importance

To prevent blindness, repeated infant eye examinations are performed to detect severe retinopathy of prematurity (ROP), yet only a small fraction of those screened need treatment. Early individual risk stratification would improve screening timing and efficiency and potentially reduce the risk of blindness.

Objectives

To create and validate an easy-to-use prediction model using only birth characteristics and to describe a continuous hazard function for ROP treatment.

Design, setting, and participants

In this retrospective cohort study, Swedish National Patient Registry data from infants screened for ROP (born between January 1, 2007, and August 7, 2018) were analyzed with Poisson regression for time-varying data (postnatal age, gestational age [GA], sex, bi

SUBMITTER: Pivodic A 

PROVIDER: S-EPMC6865304 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature