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Enregistrement W3136527718 · doi:10.1016/j.ajo.2021.03.004

KCNV2-Associated Retinopathy: Detailed Retinal Phenotype and Structural Endpoints—KCNV2 Study Group Report 2

2021· article· en· W3136527718 sur OpenAlexaff
Michalis Georgiou, Kaoru Fujinami, Ajoy Vincent, Fadi Nasser, Samer Khateb, Mauricio E. Vargas, Alberta A. H. J. Thiadens, Emanuel R. de Carvalho, Xuan‐Thanh‐An Nguyen, Thales A. C. de Guimarães, Anthony G. Robson, Omar A. Mahroo, Nikolas Pontikos, Gavin Arno, Yu Fujinami‐Yokokawa, Shaun M. Leo, Xiao Liu, Kazushige Tsunoda, Takaaki Hayashi, Belén Jimenez‐Rolando, María Inmaculada Martín-Mérida, Almudena Ávila‐Fernández, Ester Carreño, Blanca Garcı́a-Sandoval, Carmen Ayuso, Dror Sharon, Susanne Kohl, Rachel M. Huckfeldt, Camiel J.F. Boon, Eyal Banin, Mark E. Pennesi, Bernd Wissinger, Andrew R. Webster, Elise Héon, Arif O. Khan, Eberhart Zrenner, Michel Michaelides

Notice bibliographique

RevueAmerican Journal of Ophthalmology · 2021
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueRetinal Development and Disorders
Établissements canadiensSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesJanssen PharmaceuticalsNational Eye InstituteInstituto de Salud Carlos IIIUCL Institute of Ophthalmology, University College LondonProQR TherapeuticsNovartisAlimera SciencesMoorfields Eye Hospital NHS Foundation TrustMoorfields Eye CharityAstellas PharmaNational Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of OphthalmologyDeutsche ForschungsgemeinschaftWellcome TrustTistou and Charlotte Kerstan StiftungA.G. Leventis FoundationRetina UKAlexander S. Onassis Public Benefit FoundationSpark TherapeuticsAbbVieFight for Sight UKBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchFundación Ramón ArecesBiogenResearch to Prevent BlindnessNational Institutes of HealthFoundation Fighting BlindnessNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research
Mots-clésRetinalPhenotypeOphthalmologyMedicineRetinopathyGeneticsBiologyEndocrinologyGene

Résumé

récupéré en direct d'OpenAlex

•KCNV2-associated retinopathy is a slowly progressive disease with early retinal changes, which are predominantly symmetric between eyes.•Disease course can be unpredictable and may severely affect children and young adults.•Findings suggest a potential window for intervention until 40 years of age, albeit with variability between patients due to macular atrophy. PurposeTo describe the detailed retinal phenotype of KCNV2-associated retinopathy.Study designMulticenter international retrospective case series.MethodsReview of retinal imaging including fundus autofluorescence (FAF) and optical coherence tomography (OCT), including qualitative and quantitative analyses.ResultsThree distinct macular FAF features were identified: (1) centrally increased signal (n = 35, 41.7%), (2) decreased autofluorescence (n = 27, 31.1%), and (3) ring of increased signal (n = 37, 44.0%). Five distinct FAF groups were identified based on combinations of those features, with 23.5% of patients changing the FAF group over a mean (range) follow-up of 5.9 years (1.9-13.1 years). Qualitative assessment was performed by grading OCT into 5 grades: (1) continuous ellipsoid zone (EZ) (20.5%); (2) EZ disruption (26.1%); (3) EZ absence, without optical gap and with preserved retinal pigment epithelium complex (21.6%); (4) loss of EZ and a hyporeflective zone at the foveola (6.8%); and (5) outer retina and retinal pigment epithelium complex loss (25.0%). Eighty-six patients had scans available from both eyes, with 83 (96.5%) having the same grade in both eyes, and 36.1% changed OCT grade over a mean follow-up of 5.5 years. The annual rate of outer nuclear layer thickness change was similar for right and left eyes.ConclusionsKCNV2-associated retinopathy is a slowly progressive disease with early retinal changes, which are predominantly symmetric between eyes. The identification of a single OCT or FAF measurement as an endpoint to determine progression that applies to all patients may be challenging, although outer nuclear layer thickness is a potential biomarker. Findings suggest a potential window for intervention until 40 years of age. To describe the detailed retinal phenotype of KCNV2-associated retinopathy. Multicenter international retrospective case series. Review of retinal imaging including fundus autofluorescence (FAF) and optical coherence tomography (OCT), including qualitative and quantitative analyses. Three distinct macular FAF features were identified: (1) centrally increased signal (n = 35, 41.7%), (2) decreased autofluorescence (n = 27, 31.1%), and (3) ring of increased signal (n = 37, 44.0%). Five distinct FAF groups were identified based on combinations of those features, with 23.5% of patients changing the FAF group over a mean (range) follow-up of 5.9 years (1.9-13.1 years). Qualitative assessment was performed by grading OCT into 5 grades: (1) continuous ellipsoid zone (EZ) (20.5%); (2) EZ disruption (26.1%); (3) EZ absence, without optical gap and with preserved retinal pigment epithelium complex (21.6%); (4) loss of EZ and a hyporeflective zone at the foveola (6.8%); and (5) outer retina and retinal pigment epithelium complex loss (25.0%). Eighty-six patients had scans available from both eyes, with 83 (96.5%) having the same grade in both eyes, and 36.1% changed OCT grade over a mean follow-up of 5.5 years. The annual rate of outer nuclear layer thickness change was similar for right and left eyes. KCNV2-associated retinopathy is a slowly progressive disease with early retinal changes, which are predominantly symmetric between eyes. The identification of a single OCT or FAF measurement as an endpoint to determine progression that applies to all patients may be challenging, although outer nuclear layer thickness is a potential biomarker. Findings suggest a potential window for intervention until 40 years of age.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil0,795

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,268
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations28
Publié2021
Routes d'admission1
Résumé présentoui

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