Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort

Detalhes bibliográficos
Autor(a) principal: Pivodic, Aldina
Data de Publicação: 2022
Outros Autores: Smith, Lois E. H., Hard, Anna-Lena, Lofqvist, Chatarina, Almeida, Ana Catarina, Al-Hawasi, Abbas, Larsson, Eva, Lundgren, Pia, Sunnqvist, Birgitta, Tornqvist, Kristina, Wallin, Agneta, Holmstrom, Gerd, Granse, Lotta
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/146138
Resumo: The Gothenburg Medical Society and Government grants under the ALF agreement (ALFGBG-717971), De Blindas Vänner (no grant number) and Knut and Alice Wallenberg Clinical Scholars (no grant number). LEHS was supported by National Eye Institute (EY017017 and EY030904) and National Institute of Health (1U54HD090255).
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spelling Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohortdiagnostic testsinvestigationretinaThe Gothenburg Medical Society and Government grants under the ALF agreement (ALFGBG-717971), De Blindas Vänner (no grant number) and Knut and Alice Wallenberg Clinical Scholars (no grant number). LEHS was supported by National Eye Institute (EY017017 and EY030904) and National Institute of Health (1U54HD090255).Background/Aims: Retinopathy of prematurity (ROP) is currently diagnosed through repeated eye examinations to find the low percentage of infants that fulfil treatment criteria to reduce vision loss. A prediction model for severe ROP requiring treatment that might sensitively and specifically identify infants that develop severe ROP, DIGIROP-Birth, was developed using birth characteristics. DIGIROP-Screen additionally incorporates first signs of ROP in different models over time. The aim was to validate DIGIROP-Birth, DIGIROP-Screen and their decision support tool on a contemporary Swedish cohort. Methods: Data were retrieved from the Swedish national registry for ROP (2018-2019) and two Swedish regions (2020), including 1082 infants born at gestational age (GA) 24 to <31 weeks. The predictors were GA at birth, sex, standardised birth weight and age at the first sign of ROP. The outcome was ROP treatment. Sensitivity, specificity and area under the receiver operating characteristic curve (AUC) with 95% CI were described. Results: For DIGIROP-Birth, the AUC was 0.93 (95% CI 0.90 to 0.95); for DIGIROP-Screen, it ranged between 0.93 and 0.97. The specificity was 49.9% (95% CI 46.7 to 53.0) and the sensitivity was 96.5% (95% CI 87.9 to 99.6) for the tool applied at birth. For DIGIROP-Screen, the cumulative specificity ranged between 50.0% and 78.7%. One infant with Beckwith-Wiedemann syndrome who fulfilled criteria for ROP treatment and had no missed/incomplete examinations was incorrectly flagged as not needing screening. Conclusions: DIGIROP-Birth and DIGIROP-Screen showed high predictive ability in a contemporary Swedish cohort. At birth, 50% of the infants born at 24 to <31 weeks of gestation were predicted to have low risk of severe ROP and could potentially be released from ROP screening examinations. All routinely screened treated infants, excluding those screened for clinical indications of severe illness, were correctly flagged as needing ROP screening.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)Comprehensive Health Research Centre (CHRC) - pólo NMSCentro de Estudos de Doenças Crónicas (CEDOC)RUNPivodic, AldinaSmith, Lois E. H.Hard, Anna-LenaLofqvist, ChatarinaAlmeida, Ana CatarinaAl-Hawasi, AbbasLarsson, EvaLundgren, PiaSunnqvist, BirgittaTornqvist, KristinaWallin, AgnetaHolmstrom, GerdGranse, Lotta2022-12-12T22:12:54Z2022-03-112022-03-11T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/146138eng0007-1161PURE: 43682557https://doi.org/10.1136/bjophthalmol-2021-320738info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:27:09Zoai:run.unl.pt:10362/146138Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:30.138600Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort
title Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort
spellingShingle Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort
Pivodic, Aldina
diagnostic tests
investigation
retina
title_short Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort
title_full Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort
title_fullStr Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort
title_full_unstemmed Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort
title_sort Validation of DIGIROP models and decision support tool for prediction of treatment for retinopathy of prematurity on a contemporary Swedish cohort
author Pivodic, Aldina
author_facet Pivodic, Aldina
Smith, Lois E. H.
Hard, Anna-Lena
Lofqvist, Chatarina
Almeida, Ana Catarina
Al-Hawasi, Abbas
Larsson, Eva
Lundgren, Pia
Sunnqvist, Birgitta
Tornqvist, Kristina
Wallin, Agneta
Holmstrom, Gerd
Granse, Lotta
author_role author
author2 Smith, Lois E. H.
Hard, Anna-Lena
Lofqvist, Chatarina
Almeida, Ana Catarina
Al-Hawasi, Abbas
Larsson, Eva
Lundgren, Pia
Sunnqvist, Birgitta
Tornqvist, Kristina
Wallin, Agneta
Holmstrom, Gerd
Granse, Lotta
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Comprehensive Health Research Centre (CHRC) - pólo NMS
Centro de Estudos de Doenças Crónicas (CEDOC)
RUN
dc.contributor.author.fl_str_mv Pivodic, Aldina
Smith, Lois E. H.
Hard, Anna-Lena
Lofqvist, Chatarina
Almeida, Ana Catarina
Al-Hawasi, Abbas
Larsson, Eva
Lundgren, Pia
Sunnqvist, Birgitta
Tornqvist, Kristina
Wallin, Agneta
Holmstrom, Gerd
Granse, Lotta
dc.subject.por.fl_str_mv diagnostic tests
investigation
retina
topic diagnostic tests
investigation
retina
description The Gothenburg Medical Society and Government grants under the ALF agreement (ALFGBG-717971), De Blindas Vänner (no grant number) and Knut and Alice Wallenberg Clinical Scholars (no grant number). LEHS was supported by National Eye Institute (EY017017 and EY030904) and National Institute of Health (1U54HD090255).
publishDate 2022
dc.date.none.fl_str_mv 2022-12-12T22:12:54Z
2022-03-11
2022-03-11T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/146138
url http://hdl.handle.net/10362/146138
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0007-1161
PURE: 43682557
https://doi.org/10.1136/bjophthalmol-2021-320738
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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