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Master Thesis

Évaluation du dépistage des enfants à risque de rétinopathie du prématuré de type 1 par l’algorithme WINROP® dans une cohorte du Centre Hospitalier Sud Francilien

Abstract : This study evaluate the newly developped WINROP® algorithm aimed at detecting Retinopathy Of Prematurity (ROP) in a French population of preterm infants. This single-center retrospective study included premature infants born before 32 weeks of gestation and were screened for ROP by RET-CAM between January 2013 and December 2013 in Centre Hospitalier Sud Francilien. Weekly weight measurements were used in WINROP® to calculate the risk of developping Retinopathy Of Prematurity. 101 children were included. Their median gestationnal age at birth was 28,7 weeks and their median birth weight was 1035 g. 7% of children have received treatment for type 1 ROP. Sensitivity of WINROP® software was measured at 85,7% and the negative predictive value was measured at 98%. The alarm was registered at an average of 3,4 weeks postnatal age. This is the first published study evaluating WINROP® on a cohort of preterm infants in France. WINROP® appears as an additional tool to evaluate the risk of ROP currently based on the term and birth weight. Although some limitations are present, the WINROP® algorithm could improve the efficiency of the prediction of type 1 ROP and reduce the frequency of screening examinations.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01160472
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Submitted on : Friday, June 5, 2015 - 3:09:59 PM
Last modification on : Friday, March 27, 2020 - 2:52:30 AM
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  • HAL Id : dumas-01160472, version 1

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Alexis Pinel. Évaluation du dépistage des enfants à risque de rétinopathie du prématuré de type 1 par l’algorithme WINROP® dans une cohorte du Centre Hospitalier Sud Francilien. Organes des sens. 2015. ⟨dumas-01160472⟩

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