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Jeddah Retinopathy of Prematurity (JED-ROP) Screening Algorithm

Lina Raffa1,2, Aliaa Alamri3, Amal Alosaimi4

  • 1Department of Ophthalmology, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

Global Pediatric Health
|August 31, 2023
PubMed

Insights

The Jeddah retinopathy of prematurity (JED-ROP) algorithm effectively screens premature infants for Type 1 ROP. This validated tool reduces unnecessary screenings by 35.7% while maintaining 100% sensitivity.

Area of Science:

  • Ophthalmology
  • Neonatology
  • Public Health

Background:

  • Retinopathy of prematurity (ROP) poses a significant risk to premature infants.
  • Current screening protocols may lead to over-screening, increasing healthcare burdens.
  • The Jeddah retinopathy of prematurity (JED-ROP) algorithm was developed for the Saudi Arabian population.

Purpose of the Study:

  • To evaluate the efficacy of the JED-ROP algorithm in identifying Type 1 ROP.
  • To determine if the JED-ROP algorithm can reduce the number of infants undergoing ROP screening.
  • To assess the sensitivity and specificity of the JED-ROP algorithm.

Main Methods:

  • Retrospective review of 502 infants' data, including birth weight (BW), gestational age (GA), and postnatal weight gain (PWG).
  • Calculation of sensitivity and specificity for detecting Type 1 ROP using the JED-ROP criteria.
  • Analysis of perinatal risk factors associated with ROP development.

Main Results:

  • The JED-ROP algorithm achieved 100% sensitivity in detecting Type 1 ROP.
  • Specific criteria included GA ≤30 weeks, BW <1501 g, and specific postnatal weight gain or blood transfusion parameters.
  • The algorithm demonstrated 38.9% specificity for recommending screening.

Conclusions:

  • The JED-ROP algorithm significantly reduces the number of infants requiring ROP screening by 35.7%.
  • It effectively identifies all Type 1 ROP cases, ensuring timely intervention.
  • The JED-ROP algorithm can serve as a valuable adjunct to existing national ROP screening guidelines.

Keywords:
Saudi Arabiabirth weightpostnatalpretermweight gain

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