The ROPScore as a Screening Algorithm for Predicting Retinopathy of Prematurity in a Brazilian Population

AUTOR(ES)

Lucio, Kellen Cristiane do Vale, Bentlin, Maria Regina, Augusto, Ana Carolina de Lima, Corrente, José Eduardo, Toscano, Taísa Bertoco Carregal, Dib, Regina El, Jorge, Eliane Chaves

FONTE

Clinics

DATA DE PUBLICAÇÃO

26/07/2018

RESUMO

OBJECTIVES: To evaluate the accuracy of the ROPScore algorithm as a predictor of retinopathy of prematurity (ROP). METHODS: A prospective cohort of 220 preterm infants with a birth weight ≤1500 g and/or gestational age ≤32 weeks was included. The ROPScore was determined in the sixth week of life in 181 infants who then survived until a corrected gestational age of 45 weeks. The sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) of the algorithm were analyzed. RESULTS: ROP was found in 17.6% of the preterm infants. The sensitivity of this test for any stage of ROP was 87.5%, while that for severe ROP was 95.4% (21/22 cases). The PPV and NPV were 59.6% and 97%, respectively, for any stage of ROP and 44.7% and 99.25%, respectively, for severe ROP. The ROPScore could therefore hypothetically reduce the number of ophthalmologic examinations required to detect ROP by 71.8%. CONCLUSION: The ROPScore is a useful screening tool for ROP and may optimize examinations and especially the identification of severe ROP.

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