Screening Tool for Early Postnatal Prediction of Retinopathy of Prematurity in Preterm Newborns (STEP-ROP)

Autor: Caroline A. Ricard, Christiane E.L. Dammann, Olaf Dammann
Rok vydání: 2016
Předmět:
Male
congenital
hereditary
and neonatal diseases and abnormalities
Pediatrics
medicine.medical_specialty
genetic structures
Gestational Age
Logistic regression
Risk Assessment
Severity of Illness Index
Decision Support Techniques
03 medical and health sciences
0302 clinical medicine
Neonatal Screening
Predictive Value of Tests
Pregnancy
Risk Factors
030225 pediatrics
medicine
Odds Ratio
Birth Weight
Humans
Screening tool
Retinopathy of Prematurity
Retina
Respiratory Distress Syndrome
Newborn
Clinical screening
business.industry
Infant
Newborn
Retinopathy of prematurity
Neurovascular bundle
medicine.disease
eye diseases
medicine.anatomical_structure
Early Diagnosis
Logistic Models
nervous system
Infant
Extremely Premature
Pediatrics
Perinatology and Child Health
Multivariate Analysis
030221 ophthalmology & optometry
Female
sense organs
Pregnancy
Multiple
business
Developmental Biology
Zdroj: Neonatology. 112(2)
ISSN: 1661-7819
Popis: Background: Retinopathy of prematurity (ROP) is a disorder of the preterm newborn characterized by neurovascular disruption in the immature retina that may cause visual impairment and blindness. Objective: To develop a clinical screening tool for early postnatal prediction of ROP in preterm newborns based on risk information available within the first 48 h of postnatal life. Methods: Using data submitted to the Vermont Oxford Network (VON) between 1995 and 2015, we created logistic regression models based on infants born Results: Of the 1,052 newborns in the VON database, 627 recorded an ROP status. Forty percent had no ROP, 40% had mild ROP (stages 1 and 2), and 20% had severe ROP (stages 3-5). We created a weighted score to predict any ROP based on the multivariable regression model. A cutoff score of 5 had the best sensitivity (95%, 95% CI 93-97), while maintaining a strong positive predictive value (63%, 95% CI 57-68). When applied to the ELGAN data, sensitivity was lower (72%, 95% CI 69-75), but PPV was higher (80%, 95% CI 77-83). Conclusions: STEP-ROP is a promising screening tool. It is easy to calculate, does not rely on extensive postnatal data collection, and can be calculated early after birth. Early ROP screening may help physicians limit patient exposure to additional risk factors, and may be useful for risk stratification in clinical trials aimed at reducing ROP.
Databáze: OpenAIRE
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