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Relationships between maternal ethnicity, gestational age, birth weight, weight gain, and severe retinopathy of

Shahid M Husain1, Ajay K Sinha, Catey Bunce

  • 1Center for Pediatrics, Barts and the London School of Medicine and Dentistry, Queen Mary College, London, United Kingdom. s.m.husain@qmul.ac.uk

The Journal of Pediatrics
|January 29, 2013
PubMed

Insights

An algorithm using gestational age, birth weight, early weight gain, and maternal ethnicity can identify infants needing treatment for retinopathy of prematurity (ROP). This tool shows high predictive values, potentially reducing unnecessary screening examinations.

Area of Science:

  • Neonatal Medicine
  • Ophthalmology
  • Perinatal Health

Background:

  • Retinopathy of prematurity (ROP) is a significant cause of visual impairment in premature infants.
  • Accurate identification of infants requiring treatment is crucial for timely intervention and optimal visual outcomes.
  • Current screening protocols may lead to over-examination in certain populations.

Purpose of the Study:

  • To develop and validate an algorithm for advanced identification of infants at high risk for developing ROP requiring treatment.
  • To assess the predictive value of key clinical factors, including maternal ethnicity, in ROP development.

Main Methods:

  • Retrospective observational study involving 589 infants eligible for ROP screening across two UK neonatal units.
  • Multiple logistic regression analysis to identify predictors of ROP requiring treatment.
  • Development of a predictive algorithm incorporating gestational age, birth weight, maternal ethnicity, and early weight gain.

Main Results:

  • Maternal ethnicity, gestational age, birth weight, and early weight gain were significant predictors of ROP requiring treatment.
  • Infants born to Asian mothers had a higher proportion requiring treatment (12.8%) compared to white (9.39%) and black mothers (5.9%).
  • The developed algorithm demonstrated high sensitivity (100%) and negative predictive value (100%), with 65.7% specificity.

Conclusions:

  • Gestational age, birth weight, early weight gain, and maternal ethnicity are critical factors in predicting ROP requiring treatment.
  • Incorporating maternal ethnicity into predictive algorithms is essential for multiethnic populations.
  • The validated algorithm holds potential to optimize ROP screening by reducing unnecessary ophthalmologic examinations.
Abstract

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