Identifying severe forms of ROP using WINROP algorithm in the Czech Republic

Session Details

Session Title: Free Paper Session 24: Vascular Diseases & Diabetic Retinopathy VII

Session Date/Time: Sunday 10/09/2017 | 10:00-11:30

Paper Time: 10:36

Venue: Room 117

First Author: : J.Simicak CZECH REPUBLIC

Co Author(s): :    J. Halek   S. Kalabova   O. Vlacil   S. Sulakova   V. Bodnar                 

Abstract Details

Purpose:

Purpose of this study was to assess the ability of WINROP algorithm to identify all preterm infants at the risk of sight-threatening ROP type 1.

Setting:

Study took place at the Departments of Neonatology and Ophthalmology at the Faculty of Medicine and Dentistry Olomouc, Czech Republic (SEP/2015-FEB/2017).

Methods:

We enrolled 92 preterm children born under 32nd week of gestational age or children that weighted less than 1500 grams in the study. WINROP analysis was performed prospectively in all infants using weekly weight gain to estimate risk of developing ROP type 1 that required treatment. Gestational age, birth weight and weekly postnatal weight measurement were entered into WINROP. WINROP signals with an alarm to indicate whether preterm infant is at the risk of developing severe ROP.

Results:

WINROP algorithm correctly identified 82% of infants requiring treatment. Two out of eleven children developed severe form of ROP even though WINROP identified them as having no risk. These 2 infants had generalized edema, thus the weight gain was bigger mainly due to water retention. WINROP programme identified those children as having normal weight gain instead.

Conclusions:

WINROP algorithm identified preterm infants with high sensitivity. We should not enter infants with anasarca into WINROP database. Water retention can alter the weight gain measurements dramatically.

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