The Ropscore as a screening algorithm for predicting retinopathy of prematurity in a brazilian population
Clinics
;
73: e377, 2018. tab, graf
Artigo
em Inglês
| 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.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Algoritmos
/
Retinopatia da Prematuridade
/
Triagem Neonatal
Tipo de estudo:
Estudo diagnóstico
/
Estudo de etiologia
/
Estudos de avaliação
/
Estudo observacional
/
Estudo prognóstico
/
Fatores de risco
/
Estudo de rastreamento
Limite:
Feminino
/
Humanos
/
Masculino
/
Recém-Nascido
País/Região como assunto:
América do Sul
/
Brasil
Idioma:
Inglês
Revista:
Clinics
Assunto da revista:
Medicina
Ano de publicação:
2018
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
Universidade Estadual Paulista Julio de Mesquita Filho/BR
Similares
MEDLINE
...
LILACS
LIS