Retinopathy of prematurity in 7 neonatal units in Rio de Janeiro: screening criteria and workload implications

Pediatrics. 2010 Aug;126(2):e410-7. doi: 10.1542/peds.2010-0090. Epub 2010 Jul 26.

Abstract

Objectives: The goals were to determine optimal screening criteria for retinopathy of prematurity (ROP) in 7 neonatal units in Rio de Janeiro, Brazil, and to explore the workload implications of applying different criteria.

Methods: Infants with birth weights of < or = 2000 g or gestational age of <37 weeks were examined by 3 ophthalmologists in 7 of the largest units in Rio de Janeiro, during a 34-month period. ROP was classified by using the international classification, and laser treatment was given to infants developing type 1 ROP.

Results: A total of 3437 (87%) of 3953 eligible infants were examined, of whom 124 (3.6% [range: 2.1%-7.8%]) were treated. Eleven infants were treated for aggressive posterior ROP. Appropriate screening criteria for the 2 NICUs with high survival rates (ie, > or =80% among infants with birth weights of <1500 g) would be < or =1500 g or <32 weeks. For NICUs with low survival rates (ie, <80%), appropriate criteria would be < or =1500 g or < or =35 weeks. UK, US, and previous Brazilian criteria would all miss infants needing treatment.

Conclusions: ROP programs in Brazil should use the wider criteria of < or =1500 g or < or =35 weeks until further evidence-based criteria become available, although this would mean a slight increase in workload across the city, compared with use of the narrower criteria in the better units. Whether survival rates can be used as a proxy to indicate screening criteria requires further investigation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brazil / epidemiology
  • Catchment Area, Health
  • Humans
  • Infant, Newborn
  • Intensive Care Units, Neonatal / statistics & numerical data*
  • Neonatal Screening / methods*
  • Prevalence
  • Reference Values
  • Retinopathy of Prematurity / diagnosis*
  • Retinopathy of Prematurity / epidemiology*
  • Severity of Illness Index
  • Workload / statistics & numerical data*