Prognostic Value of Parenteral Nutrition Duration on Risk of Retinopathy of Prematurity: Development and Validation

Aldina Pivodic1, Gerd Holmström2, Lois E H Smith3

  • 1Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

JAMA Ophthalmology
|June 29, 2023
PubMed

Insights

Parenteral nutrition duration (PND) of 14 days or more significantly increases the risk of retinopathy of prematurity (ROP) and its treatment. The updated DIGIROP 2.0 models show promise for improved ROP screening.

Area of Science:

  • Neonatology
  • Ophthalmology
  • Medical Informatics

Background:

  • The prognostic impact of parenteral nutrition duration (PND) on retinopathy of prematurity (ROP) requires further investigation.
  • Predictive models are crucial for optimizing ROP screening and identifying high-risk infants.

Purpose of the Study:

  • To assess the prognostic value of PND in ROP development and treatment.
  • To update and validate the Digital ROP (DIGIROP) 2.0 prediction models, incorporating PND for all ROP-screened infants.
  • To compare the performance of DIGIROP 2.0 against existing models like WINROP and G-ROP.

Main Methods:

  • Retrospective analysis of 11,139 prematurely born infants from the Swedish National Registry for ROP (2007-2020).
  • Statistical models (Extended Poisson, logistic) were used to analyze the relationship between PND and ROP outcomes.
  • Model performance was evaluated using sensitivity, specificity, and area under the ROC curve; internal and external validations were conducted.

Main Results:

  • PND of 14 days or more was significantly correlated with ROP severity (Spearman r=0.45, P<.001).
  • Infants with PND ≥14 days had higher odds of any ROP (aOR=1.84) and ROP requiring treatment (aOR=2.20) compared to those with PND <14 days.
  • The DIGIROP 2.0 models demonstrated 100% sensitivity for ROP detection, outperforming WINROP in specificity.

Conclusions:

  • Extended PND (≥14 days) is a significant risk factor for ROP and the need for treatment.
  • The updated DIGIROP 2.0 models, incorporating PND, offer high sensitivity and improved specificity for ROP screening.
  • Findings support the use of DIGIROP 2.0 models over WINROP or G-ROP for managing ROP screening.
Abstract