Prediction of severe retinopathy of prematurity using the WINROP algorithm in a cohort from Malopolska. A

Mateusz Jagła1, Anna Peterko2, Katarzyna Olesińska2

  • 1Chair of Pediatrics, Jagiellonian University, Collegium Medicum, Cracow, Poland.

Insights

The WINROP system shows potential for identifying infants at high risk of severe retinopathy of prematurity (ROP). Combining WINROP with factors like surfactant therapy improves its accuracy in predicting sight-threatening ROP in preterm infants.

Area of Science:

  • Neonatology
  • Ophthalmology
  • Medical Informatics

Background:

  • Retinopathy of prematurity (ROP) is a leading cause of preventable childhood blindness.
  • Early detection and intervention are crucial for preventing vision loss in preterm infants.
  • The WINROP system is an online tool designed to predict the risk of ROP requiring treatment.

Purpose of the Study:

  • To validate the diagnostic accuracy of the WINROP algorithm for severe ROP detection.
  • To assess WINROP's performance in a Polish cohort of high-risk preterm infants.

Main Methods:

  • Retrospective analysis of medical records of 79 preterm infants (born before 32 weeks gestation).
  • WINROP algorithm input included gestational age, birth weight, and body weight gain.
  • Evaluation of WINROP's sensitivity, specificity, NPV, and PPV for identifying severe ROP (Type 1).

Main Results:

  • WINROP triggered high-risk alarms in 37 infants, with 22 developing severe ROP.
  • Low-risk alarms were issued for 42 infants, 5 of whom developed severe ROP.
  • WINROP demonstrated a sensitivity of 81.5% and specificity of 71.2% in this cohort.
  • Combining WINROP with surfactant therapy significantly improved sensitivity to 96.3%.

Conclusions:

  • The WINROP algorithm's sensitivity in the Polish cohort was lower than reported in developed countries.
  • Integrating additional factors, such as surfactant treatment, enhances WINROP's utility in identifying at-risk infants.
  • Further validation in a large, multi-center prospective study is recommended for the Polish preterm infant population.
Abstract

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