The Ropscore as a screening algorithm for predicting retinopathy of prematurity in a brazilian population
Clinics
;
73: e377, 2018. tab, graf
Article
in English
| LILACS
| ID: biblio-952788
ABSTRACT
OBJECTIVES:
To evaluate the accuracy of the ROPScore algorithm as a predictor of retinopathy of prematurity (ROP).METHODS:
A prospective cohort of 220 preterm infants with a birth weight ≤1500 g and/or gestational age ≤32 weeks was included. The ROPScore was determined in the sixth week of life in 181 infants who then survived until a corrected gestational age of 45 weeks. The sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) of the algorithm were analyzed.RESULTS:
ROP was found in 17.6% of the preterm infants. The sensitivity of this test for any stage of ROP was 87.5%, while that for severe ROP was 95.4% (21/22 cases). The PPV and NPV were 59.6% and 97%, respectively, for any stage of ROP and 44.7% and 99.25%, respectively, for severe ROP. The ROPScore could therefore hypothetically reduce the number of ophthalmologic examinations required to detect ROP by 71.8%.CONCLUSION:
The ROPScore is a useful screening tool for ROP and may optimize examinations and especially the identification of severe ROP.
Full text:
Available
Index:
LILACS (Americas)
Main subject:
Algorithms
/
Retinopathy of Prematurity
/
Neonatal Screening
Type of study:
Diagnostic study
/
Etiology study
/
Evaluation studies
/
Observational study
/
Prognostic study
/
Risk factors
/
Screening study
Limits:
Female
/
Humans
/
Male
/
Infant, Newborn
Country/Region as subject:
South America
/
Brazil
Language:
English
Journal:
Clinics
Journal subject:
Medicine
Year:
2018
Type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
Universidade Estadual Paulista Julio de Mesquita Filho/BR
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