Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Risk of development of treated retinopathy of prematurity in very low birth weight infants

Abstract

Objective

Quantify the risk of treatment for retinopathy of prematurity (ROP) among infants meeting current U.S. screening guidelines.

Study design

Among infants ≤1500 g birth weight or ≤30 weeks gestation screened for ROP from 2006–2015, we developed a risk prediction model to identify infants treated for ROP. We applied our model to a separate infant cohort discharged in 2016.

Result

Seventy-five thousand eight hundred and twenty one infants met inclusion criteria; 2306 (3%) were treated for ROP. Infants with several risk factor combinations (no ventilator support or oxygen on postnatal day 28, no history of necrotizing enterocolitis, and no intraventricular hemorrhage) were at low risk of ROP. Applied to 6127 infants discharged in 2016, our model had 97.9% sensitivity, 63.3% specificity, positive predictive value of 4.0%, and negative predictive value of 99.9%.

Conclusion

Large numbers of infants at low risk of developing ROP are required to undergo screening. Refining current ROP guidelines may reduce unnecessary examinations.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1

Similar content being viewed by others

References

  1. Bashinsky AL. Retinopathy of prematurity. N C Med J. 2017;78:124–8.

    PubMed  Google Scholar 

  2. Wang H. Anti-VEGF therapy in the management of retinopathy of prematurity: what we learn from representative animal models of oxygen-induced retinopathy. Eye Brain. 2016;8:81–90.

    Article  Google Scholar 

  3. National Eye Institute. Facts about Retinopathy of Prematurity (ROP). National Institutes of Health National Eye Institute web site. https://nei.nih.gov/health/rop. Accessed 24 Sept 2018.

  4. Steinkuller PG, Du L, Gilbert C, Foster A, Collins ML, Coats DK. Childhood blindness. J Aapos. 1999;3:26–32.

    Article  CAS  Google Scholar 

  5. Gilbert C. Retinopathy of prematurity: a global perspective of the epidemics, population of babies at risk and implications for control. Early Hum Dev. 2008;84:77–82.

    Article  Google Scholar 

  6. Fierson WM; AMERICAN ACADEMY OF PEDIATRICS Section on Ophthalmology; AMERICAN ACADEMY OF OPHTHALMOLOGY; AMERICAN ASSOCIATION FOR PEDIATRIC OPHTHALMOLOGY AND STRABISMUS; AMERICAN ASSOCIATION OF CERTIFIED ORTHOPTISTS. Screening examination of premature infants for retinopathy of prematurity. Pediatrics. 2018;142.

  7. Mora JS, Waite C, Gilbert CE, Breidenstein B, Sloper JJ. A worldwide survey of retinopathy of prematurity screening. Br J Ophthalmol. 2018;102:9–13.

    Article  Google Scholar 

  8. Hutchinson AK, Melia M, Yang MB, VanderVeen DK, Wilson LB, Lambert SR. Clinical models and algorithms for the prediction of retinopathy of prematurity: a report by the American Academy of Ophthalmology. Ophthalmology. 2016;123:804–16.

    Article  Google Scholar 

  9. Good WV. Final results of the Early Treatment for Retinopathy of Prematurity (ETROP) randomized trial. Trans Am Ophthalmol Soc. 2004;102:233–50.

    PubMed  PubMed Central  Google Scholar 

  10. Löfqvist C, Andersson E, Sigurdsson J, Engström E, Hård AL, Niklasson A, et al. Longitudinal postnatal weight and insulin-like growth factor I measurements in the prediction of retinopathy of prematurity. Arch Ophthalmol. 2006;124:1711–8.

    Article  Google Scholar 

  11. McCourt EA, Ying GS, Lynch AM, Palestine AG, Wagner BD, Wymore E, et al. Validation of the colorado retinopathy of prematurity screening model. JAMA Ophthalmol. 2018;136:409–16.

    Article  Google Scholar 

  12. Cao JH, Wagner BD, Cerda A, McCourt EA, Palestine A, Enzenauer RW, et al. Colorado retinopathy of prematurity model: a multi-institutional validation study. J Aapos. 2016;20:220–5.

    Article  Google Scholar 

  13. Binenbaum G, Ying GS, Quinn GE, Dreiseitl S, Karp K, Roberts RS, et al. A clinical prediction model to stratify retinopathy of prematurity risk using postnatal weight gain. Pediatrics. 2011;127:e607–14.

    Article  Google Scholar 

  14. Rush R, Rush S, Nicolau J, Chapman K, Naqvi M. Systemic manifestations in response to mydriasis and physical examination during screening for retinopathy of prematurity. Retina. 2004;24:242–5.

    Article  Google Scholar 

  15. Sun X, Lemyre B, Barrowman N, O’Connor M. Pain management during eye examinations for retinopathy of prematurity in preterm infants: a systematic review. Acta Paediatr. 2010;99:329–34.

    Article  CAS  Google Scholar 

  16. Mitchell AJ, Green A, Jeffs DA, Roberson PK. Physiologic effects of retinopathy of prematurity screening examinations. Adv Neonatal Care. 2011;11:291–7.

    Article  Google Scholar 

  17. Olsen IE, Groveman SA, Lawson ML, Clark RH, Zemel BS. New intrauterine growth curves based on United States data. Pediatrics. 2010;125:e214–24.

    Article  Google Scholar 

  18. Kliegman RM, Walsh MC. Neonatal necrotizing enterocolitis; pathogenesis, classification, and spectrum of illness. Curr Probl Pediatr. 1987;17:213–88.

    CAS  PubMed  Google Scholar 

  19. Genetic Alliance; District of Columbia Department of Health. Understanding Genetics: A District of Columbia Guide for Patients and Health Professionals. Washington, DC: Genetic Alliance; 2010.

  20. Wallace DK, Kraker RT, Freedman SF, Crouch ER, Hutchinson AK, Bhatt AR, et al. Assessment of lower doses of intravitreous bevacizumab for retinopathy of prematurity: a phase 1 dosing study. JAMA Ophthalmol. 2017;135:654–6.

    Article  Google Scholar 

  21. Gilbert C, Fielder A, Gordillo L, Quinn G, Semiglia R, Visintin P, et al. Characteristics of infants with severe retinopathy of prematurity in countries with low, moderate, and high levels of development: implications for screening programs. Pediatrics. 2005;115:e518–25.

    Article  Google Scholar 

  22. Ahmed MA, Duncan M, Kent A, NICUS Group. Incidence of retinopathy of prematurity requiring treatment in infants born greater than 30 weeks’ gestation and with a birthweight greater than 1250 g from 1998 to 2002: a regional study. J Paediatr Child Health. 2006;42:337–40.

    Article  Google Scholar 

  23. van Sorge AJ, Schalij-Delfos NE, Kerkhoff FT, van Rijn LJ, van Hillegersberg JL, van Liempt IL, et al. Reduction in screening for retinopathy of prematurity through risk factor adjusted inclusion criteria. Br J Ophthalmol. 2013;97:1143–7.

    Article  Google Scholar 

  24. Yanovitch TL, Siatkowski RM, McCaffree M, Corff KE. Retinopathy of prematurity in infants with birth weight > or = 1250 grams-incidence, severity, and screening guideline cost-analysis. J Aapos. 2006;10:128–34.

    Article  Google Scholar 

  25. Wallace DK, Kylstra JA, Phillips SJ, Hall JG. Poor postnatal weight gain: a risk factor for severe retinopathy of prematurity. J Aapos. 2000;4:343–7.

    Article  CAS  Google Scholar 

  26. Lofqvist C, Hansen-Pupp I, Andersson E, Holm K, Smith LE, Ley D, et al. Validation of a new retinopathy of prematurity screening method monitoring longitudinal postnatal weight and insulinlike growth factor I. Arch Ophthalmol. 2009;127:622–7.

    Article  Google Scholar 

  27. Binebaum G, Ying GS, Tomlinson LA. Validation of the Children’s Hospital of Philadelphia Retinopathy of Prematurity (CHOP ROP) Model. JAMA Ophthalmol. 2017;135:871–7.

    Article  Google Scholar 

  28. Aydemir O, Sarikabadayi YU, Aydemir C, Tunay ZO, Tok L, Erdeve O, et al. Adjusted Poor weight gain for birth weight and gestational age as a predictor of severe ROP in VLBW infants. Eye (Lond). 2011;25:725–9.

    Article  CAS  Google Scholar 

  29. Gerull R, Brauer V, Bassler D, Laubscher B, Pfister RE, Nelle M, et al. Prediction of ROP treatment and evaluation of screening criteria in VLBW infants-a population based analysis. Pedia Res. 2018;84:632–8.

    Article  Google Scholar 

  30. Dhudasia MB, Mukhopadhyay S, Puopolo KM. Implementation of the sepsis risk calculator at an academic birth hospital. Hosp Pediatr. 2018;8:243–50.

    Article  Google Scholar 

  31. Beavers JB, Bai S, Perry J, Simpson J, Peeples S. Implementation and evaluation of the early-onset sepsis risk calculator in a high-risk university nursery. Clin Pedia (Philos). 2018;57:1080–5.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rachel G. Greenberg.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gonski, S., Hupp, S.R., Cotten, C.M. et al. Risk of development of treated retinopathy of prematurity in very low birth weight infants. J Perinatol 39, 1562–1568 (2019). https://doi.org/10.1038/s41372-019-0487-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41372-019-0487-6

This article is cited by

Search

Quick links