Validation of three weight gain-based algorithms as a screening tool to detect retinopathy of prematurity: A multicenter study.

Autor: Raffa L; Department of Ophthalmology, King Abdulaziz University Hospital; Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia., Alamri A; Department of Pediatrics, King Abdulaziz University Hospital, Jeddah, Saudi Arabia., Alosaimi A; Department of Obstetrics and Gynecology, King Abdulaziz Medical City, National Guard Health Affairs, Jeddah, Saudi Arabia., Alessa S; Department of Ophthalmology, King Abdulaziz University Hospital; Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia., Alharbi S; Department of Ophthalmology, Jeddah Eye Hospital, Jeddah, Saudi Arabia., Ahmedhussain H; Department of Ophthalmology, King Abdulaziz University Hospital; Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia., Almarzouki H; College of Medicine, King Saud bin Abdulaziz University for Health Sciences; Department of Ophthalmology, King Abdulaziz Medical City, Ministry of National Guard Health Affairs; King Abdullah International Medical Research Center, Jeddah, Saudi Arabia., AlQurashi M; College of Medicine, King Saud bin Abdulaziz University for Health Sciences; King Abdullah International Medical Research Center; Department of Pediatrics, Neonatology Division, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Western Region, Jeddah, Saudi Arabia.
Jazyk: angličtina
Zdroj: Indian journal of ophthalmology [Indian J Ophthalmol] 2023 Jun; Vol. 71 (6), pp. 2555-2560.
DOI: 10.4103/ijo.IJO_2013_22
Abstrakt: Purpose: Screening guidelines for retinopathy of prematurity (ROP) are updated frequently to help clinicians identify infants at risk of type 1 ROP. This study aims to evaluate the accuracy of three different predictive algorithms-WINROP, ROPScore, and CO-ROP-in detecting ROP in preterm infants in a developing country.
Methods: This retrospective study was conducted on 386 preterm infants from two centers between 2015 and 2021. Neonates with gestational age ≤30 weeks and/or birth weight ≤1500 g who underwent ROP screening were included.
Results: One hundred twenty-three neonates (31.9%) developed ROP. The sensitivity to identify type 1 ROP was as follows: WINROP, 100%; ROPScore, 100%; and CO-ROP, 92.3%. The specificity was 28% for WINROP, 1.4% for ROPScore, and 19.3% for CO-ROP. CO-ROP missed two neonates with type 1 ROP. WINROP provided the best performance for type 1 ROP with an area under the curve score at 0.61.
Conclusion: The sensitivity was at 100% for WINROP and ROPScore for type 1 ROP; however, specificity was quite low for both algorithms. Highly specific algorithms tailored to our population may serve as a useful adjunctive tool to detect preterm infants at risk of sight-threatening ROP.
Competing Interests: None
Databáze: MEDLINE
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