MétaCan
Menu
← Retour à la cohorte
Enregistrement W4417008787 · doi:10.1182/blood-2025-2956

Subclinical neurovascular injury and cognitive outcomes in adults with sickle cell disease: Prevalence and imaging correlates

2025· article· en· W4417008787 sur OpenAlexaff
Jonathan St-Onge, Chrystelle Charles, Constant Kazadi, Olivier Pouliot, Christian Stapf, Grégory Jacquin, Olena Bereznyakova, Stéphanie Forté

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensCentre Hospitalier de l’Université de MontréalUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésHyperintensityStroke (engine)Magnetic resonance imagingLeukoaraiosisNeuroradiologyNeurovascular bundleMagnetic resonance angiographyNeurologyWhite matterSubclinical infection

Résumé

récupéré en direct d'OpenAlex

Abstract Background Silent cerebral infarcts (SCI) are well-known risk factors for stroke and cognitive impairment in children with sickle cell disease (SCD), with IQ declining as abnormalities on magnetic resonance imaging (MRI) increase. These lesions accumulate with age, but their long-term impact in adults is less well characterized. Importantly, SCI represent only one category of cerebral vascular injury. Other radiological features—such as white matter hyperintensities, microangiopathy, and aneurysms—may also reflect chronic cerebrovascular damage but remain poorly studied in adults with SCD. Few studies have evaluated how the full spectrum of structural and vascular lesions correlates with cognitive function, education, and employment. The primary objective of this study was to determine the prevalence of the different structural and vascular brain lesions in adults with SCD. Secondly, we aimed to assess their association with cognitive performance and thirdly, examine relationships with educational attainment, occupational status and functional outcomes. Methods We conducted a retrospective cross-sectional study (2016–2024) at a tertiary SCD center. Adults (≥18 years) with any SCD genotype, at least one hematology clinic visit, and cerebral MRI and magnetic resonance angiography (MRI/MRA) with a formal neuroradiology report were included. Patients with prior symptomatic stroke were excluded. Radiological findings included SCI, white matter hyperintensities (WMH) consistent with small vessel disease, microangiopathy, aneurysms, intracranial artery stenosis, and Moya-Moya. SCI were defined as infarct-like lesions ≥3 mm on T2-weighted MRI without neurological symptoms. WMH were categorized based on descriptive terminology consistent with STRIVE-2 guidance. Outcomes included results on MoCA, mRS, educational attainment, years of schooling, and occupational status. Cognitive and functional assessments (MoCA, mRS) were obtained at last follow-up by vascular neurologists in a dedicated neurovascular-SCD clinic. Group differences were assessed using t-tests, Mann-Whitney U, or chi-square tests, as appropriate. A univariate ANCOVA model was used to adjust for age, sex and hypertension. Ethics approval was obtained. Results Among 391 adults (median age 32 [range 18–79]; 56.3% female), 54.2% had HbSS/HbSβ⁰ and 45.8% had HbSC/HbSβ⁺. Treatments included hydroxyurea (66.0%), transfusions (14.8%), and both (5.4%). Antiplatelets were used in 37.9%, anticoagulants in 5.6%, and antihypertensives in 8.7%. At least one silent structural or vascular brain lesion was identified in 259 (66.2%). SCI were found in 30 (7.7%). WMH were observed in 172 (44.0%), microangiopathy in 46 (11.7%), aneurysms in 57 (14.8%), intracranial stenosis in 12 (3.0%), and Moya-Moya in 2 (0.5%). MRI/A was normal in 132 (33.8%). Patients with any abnormality had lower mean MoCA scores (26 vs. 27; p=0.06), although there were no significant differences in mRS (0 [0–1] vs. 1 [0–1]; p=0.54), years of schooling (13 vs. 14; p=0.27), education (χ² (5)=3.40; p=0.64), or occupation (χ² (5)=2.98; p=0.70). SCI were not significantly associated with cognitive or functional outcomes. However, microangiopathy was associated with lower MoCA scores (24 vs. 26; p=0.03), suggesting potential clinical relevance. No significant differences were seen for WMH, aneurysms, or stenosis. Age was significantly associated with MoCA scores (B=-0.095, 95% CI: -0.132 to –0.057, p<0.001), with older age predicting lower scores, while sex (p=0.09) and hypertension (p=0.30) were not. After adjusting for age, sex and hypertension, presence of microangiopathy was significantly associated with lower MoCA scores ((ANCOVA) F (1, 237) = 8.486, p=0.004). Neither SCI (F(1,237) = 0.104, p=0.75), WMH (F(1, 237) = 0.054, p=0.82), aneurysms (F(1, 237) = 0.223, p=0.64), nor stenosis (F(1, 237) = 0.011, p=0.92) were significantly associated with MoCA after adjustment. These findings suggest that microangiopathy may reflect a clinically relevant marker of cognitive vulnerability in adults with SCD, independent of age-related decline. Discussion Subclinical neurovascular injury is common in adults with SCD, with microangiopathy emerging as the only lesion independently associated with lower cognitive performance. These findings underscore the need to look beyond SCI and integrate broader markers of small vessel disease in surveillance strategies aimed at preserving cognitive health in adults with SCD.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,003
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,003
Tête enseignante GPT0,232
Écart entre enseignants0,229 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetHemoglobinopathies and Related Disorders→Travaux en français237 207→