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Prediction of severe retinopathy of prematurity using the WINROP algorithm in a cohort from Malopolska. A
Mateusz Jagła1, Anna Peterko2, Katarzyna Olesińska2
1Chair of Pediatrics, Jagiellonian University, Collegium Medicum, Cracow, Poland.
Insights
The WINROP system shows potential for identifying infants at high risk of severe retinopathy of prematurity (ROP). Combining WINROP with factors like surfactant therapy improves its accuracy in predicting sight-threatening ROP in preterm infants.
Area of Science:
- Neonatology
- Ophthalmology
- Medical Informatics
Background:
- Retinopathy of prematurity (ROP) is a leading cause of preventable childhood blindness.
- Early detection and intervention are crucial for preventing vision loss in preterm infants.
- The WINROP system is an online tool designed to predict the risk of ROP requiring treatment.
Purpose of the Study:
- To validate the diagnostic accuracy of the WINROP algorithm for severe ROP detection.
- To assess WINROP's performance in a Polish cohort of high-risk preterm infants.
Main Methods:
- Retrospective analysis of medical records of 79 preterm infants (born before 32 weeks gestation).
- WINROP algorithm input included gestational age, birth weight, and body weight gain.
- Evaluation of WINROP's sensitivity, specificity, NPV, and PPV for identifying severe ROP (Type 1).
Main Results:
- WINROP triggered high-risk alarms in 37 infants, with 22 developing severe ROP.
- Low-risk alarms were issued for 42 infants, 5 of whom developed severe ROP.
- WINROP demonstrated a sensitivity of 81.5% and specificity of 71.2% in this cohort.
- Combining WINROP with surfactant therapy significantly improved sensitivity to 96.3%.
Conclusions:
- The WINROP algorithm's sensitivity in the Polish cohort was lower than reported in developed countries.
- Integrating additional factors, such as surfactant treatment, enhances WINROP's utility in identifying at-risk infants.
- Further validation in a large, multi-center prospective study is recommended for the Polish preterm infant population.
Introduction:
Retinopathy of prematurity (ROP) is one of the leading avoidable causes of blindness in childhood in developed countries. Accurate diagnosis and treatment are essential for preventing the loss of vision. WINROP (https://www.winrop.com) is an online monitoring system which predicts the risk for ROP requiring treatment based on gestational age, birth weight, and body weight gain.
Aim:
To validate diagnostic accuracy of the WINROP algorithm for the detection of severe ROP in a single centre cohort of Polish, high-risk preterm infant population.
Material And Methods:
Medical records of neonates born before 32 weeks of gestation admitted to the third level neonatal centre in a 2-year retrospective investigation 79 patients were included in the study: their gestational age, birth weight and body weight gain were set in the WINROP system. The algorithm evaluated the risk for ROP divided into low or high-risk of disease and identified infants with high risk of developing severe ROP (type 1 ROP).
Results:
Out of 79 patients 37 received a high-risk alarm, of whom 22 developed severe ROP. Low-risk alarm was triggered in 42 infants; five of them developed type 1 ROP. The sensitivity of the WINROP was found to be 81.5% (95% CI 61.9-93.7), specificity 71.2% (95% CI 56.9-82.9), negative predictive value (NPV) 88.1% (95% CI 76.7-94.3), and positive predictive value (PPV) 59.5 (95% CI 48.1-69.9), respectively. The accuracy of the test significantly increased after combined WINROP and surfactant therapy as an additional factor - sensitivity 96.3% (95% CI 81.0-99.9), specificity 63.5% (95% CI 49.0-76.4), NPV 97.1% (95% CI 82.3-99.6), and PPV 57.8 (95% CI 48.7-66.4).
Conclusions:
The WINROP algorithm sensitivity from the Polish cohort was not as high as that reported in developed countries. However, combined with additional factors (e.g. surfactant treatment) it can be useful for identifying the risk groups of sight-threatening ROP. The accuracy of the WINROP algorithm should be validated in a large multi-center prospective study in a Polish population of preterm infants.
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