Local Validation of WINROP, an Online Screening Tool for Retinopathy of Prematurity

Abstract

Objective: To validate WINROP, a web-based screening tool for retinopathy of prematurity (ROP), in the detection of any-stage ROP or treatment-requiring ROP among Filipino preterm infants screened for ROP from January 2013 to April 2017. Methods: Charts of preterm infants who were screened for ROP at a tertiary hospital from January 2013 to April 2017 were reviewed. Birth date, gestational age, birth weight, and weekly postnatal weight measurements were collected and entered into WINROP. The number of infants that were tagged by WINROP with alarm signals for any-stage ROP or treatment-requiring ROP were noted and compared with actual ROP screening findings. The sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV) of the WINROP application in predicting any-stage ROP and treatment-requiring ROP were computed. Results: Charts of 138 preterm infants were included in the study. Sixty-four (64) had a chart diagnosis of any-stage ROP and 13 had treatment-requiring ROP. WINROP tagged 77 and 10 preterm infants with any-stage ROP and treatment-requiring ROP, respectively. The sensitivity and specificity rates of WINROP for detecting any-stage ROP were 63.5% (95% CI: 51.5% - 74.2%) and 78.1% (95% CI: 65.7% - 87.1%), respectively. While the sensitivity and specificity rates at identifying treatment-requiring ROP were 76.9% (95% CI: 45.9% - 93.8%) and 46.4% (95% CI: 37.5% - 55.5%), respectively. Conclusion: WINROP is fairly sensitive and specific in predicting any-stage ROP but has fair sensitivity and poor specificity in predicting treatment-requiring ROP. WINROP may aid in ROP prediction, but regular screening of preterm infants at risk for ROP based on current criteria remains to be the standard of care.

Keywords

• retinopathy of prematurity
• rop
• winrop
• preterm
• postnatal weight gain