Repository logo
 
Publication

DIGIROP efficacy for detecting treatment-requiring retinopathy of prematurity in a Portuguese cohort

2021Journal article Restricted access
Simple item page
dc.contributor.authorAlmeida, Ana C.
dc.contributor.authorBorrego, Luís Miguel
dc.contributor.authorBrízido, Margarida
dc.contributor.authorde Figueiredo, Melissa Brigham
dc.contributor.authorJorge Teixeira, Filipa
dc.contributor.authorCoelho, Constança
dc.contributor.authorTeixeira, Susana
dc.date.accessioned2022-07-25T15:59:44Z
dc.date.available2022-07-25T15:59:44Z
dc.date.issued2021
dc.description© The Author(s), under exclusive licence to The Royal College of Ophthalmologists 2021pt_PT
dc.description.abstractBackground/objectives: To determine the efficacy of the DIGIROP model in detecting treatment-requiring retinopathy of prematurity (TR-ROP) in a Portuguese cohort. Subjects/methods: Multicentre, retrospective cohort study of all consecutive preterm infants who underwent ROP screening from April 2012 to May 2019 in two neonatal units. Gestational age (GA), birth weight (BW) and sex were inserted in the DIGIROP platform. The optimal cut-off point to achieve 100% sensitivity was calculated. Area under the receiver operating characteristic curve (AUC) was calculated. Results: Of the 431 infants who underwent ROP screening, 257 were eligible for DIGIROP analysis and 174 infants were excluded for having a GA outside the range 24-30 weeks imposed by the DIGIROP algorithm. Median GA was 29 weeks (range 24-30) and BW was 1060 g (range 408-2080). Twenty-tree infants (8.9%) developed TR-ROP. The highest risk obtained for TR-ROP was 0.5404 (95% CI 0.4343-0.6616) with a median achieved risk of 0.0938 (range 0.0016-0.5404). The optimal cut-off point to achieve 100% sensitivity on TR-ROP was 0.0016. The number of infants receiving ROP examinations would have been reduced from 257 to 187 infants (-27.2%) if the model was applied. Conclusions: In our cohort, of 257 infants, the optimal cut-off point to achieve 100% sensitivity for TR-ROP was 0.0016 with moderate accuracy in the AUC (0.70). The number of infants requiring screening would have decreased 27.2% if the model was applied. It is essential that algorithms continue to be tested in different populations, especially in cohorts that include both younger and older GA infants.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationEye (Lond). 2022 Feb;36(2):463-469pt_PT
dc.identifier.doi10.1038/s41433-021-01455-8pt_PT
dc.identifier.eissn1476-5454
dc.identifier.issn0950-222X
dc.identifier.urihttp://hdl.handle.net/10451/53941
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relation.publisherversionhttps://www.nature.com/eye/pt_PT
dc.titleDIGIROP efficacy for detecting treatment-requiring retinopathy of prematurity in a Portuguese cohortpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage469pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage463pt_PT
oaire.citation.titleEyept_PT
oaire.citation.volume36pt_PT
person.familyNameJorge Teixeira
person.familyNameCoelho
person.givenNameFilipa
person.givenNameConstança
person.identifier.ciencia-id7515-8385-064B
person.identifier.orcid0000-0003-2884-8436
person.identifier.orcid0000-0002-5331-2257
person.identifier.scopus-author-id7005608345
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3ef7542a-3f88-4310-81be-9aaf3751489f
relation.isAuthorOfPublication6b90db77-8f9c-48a9-a91e-6410d4b862e6
relation.isAuthorOfPublication.latestForDiscovery3ef7542a-3f88-4310-81be-9aaf3751489f

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
DIGIROP.pdf
Size:
622.14 KB
Format:
Adobe Portable Document Format
Download

Collections

FM-ISAMB-Artigos em Revistas Internacionais