Kaya-Guner E, Inci-Bozbiyik D, Kefeli-Demirel M. Retrospective cohort evaluation of postnatal growth and retinopathy of prematurity (G-ROP) criteria in a tertiary centre in Turkey.
Acta Ophthalmol 2024;
102:e712-e717. [PMID:
38156483 DOI:
10.1111/aos.16622]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 12/11/2023] [Accepted: 12/18/2023] [Indexed: 12/30/2023]
Abstract
PURPOSE
The postnatal growth and retinopathy of prematurity (G-ROP) study has proposed a new model to increase the effectiveness of screening retinopathy of prematurity (ROP). The present study aimed to evaluate the effectiveness of the G-ROP model in a tertiary centre in Turkey.
METHODS
The medical records of infants screened for ROP in our hospital between January 2018 and December 2022 were reviewed retrospectively. Babies with a documented ROP result and regular body weight measurements up to the 40th day of life were included in the study, and the G-ROP model was applied. The sensitivity of the G-ROP prediction model in detecting treated ROP, Type 1 ROP, Type 2 ROP, and low-grade ROP and the reduction in the number of babies to be screened by applying the model were calculated.
RESULTS
The G-ROP model was applied to a total of 242 infants. While 194 babies were determined for screening, 22 of them were treated. The sensitivity to predict treated ROP was 100%, and the specificity was 21.8%. The model successfully predicted all cases of Type 1 ROP in the cohort, while the sensitivity was 90.9% for Type 2 ROP and 90.7% for low-grade ROP. The G-ROP model reduced the number of infants requiring screening by 19.8% in our study.
CONCLUSIONS
The G-ROP model was successfully validated in our cohort in detecting treated ROP and Type 1 ROP, reducing the number of infants requiring screening by approximately 1 in 5.
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