Introduction:

retinopathy of prematurity (ROP) is the main preventable cause of childhood blindness in Mexico. Indirect ophthalmoscopy is the gold standard for the diagnosis of ROP. The objective of this study was to determine the diagnostic performance of the WINROP (Weight, IGF-1 [insulinlike growth factor 1], Neonatal, ROP) algorithm to predict ROP in neonates, in a hospital located in the North of Mexico.

Material and methods:

retrospective, cross-sectional and comparative study, carried out between 2016 and 2021. Neonates <32 weeks of gestation (WG) were included, and in whom an ophthalmological ROP screening was performed. The WINROP platform was used to classify patients with and without risk of developing ROP, according to their weight gain.

Results:

77 premature infants were included. Median age was 28.8 WG, and 49.1% were female. By indirect ophthalmoscopy, a diagnosis of ROP at any stage was made in 52 patients (67.5%). WINROP identified 54 at risk of ROP. In the diagnostic test analysis, the sensitivity, specificity, positive predictive value, and negative predictive value of WINROP were 96, 84, 92.5, and 91%, respectively.

Conclusion:

WINROP algorithm appears to be an accurate tool to detect premature infants at increased risk of ROP, but indirect ophthalmoscopy should always be performed in accordance with international guidelines.

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