Titre :

A Causal Classification System for Intracerebral Hemorrhage subtypes (CLAS-ICH)

Auteur(s) :

Raposo, Nicolas [Auteur]
Zanon Zotin, Maria Clara [Auteur]
Seiffge, David J. [Auteur]
Li, Qi [Auteur]
Goeldlin, Martina B. [Auteur]
Charidimou, Andreas [Auteur]
Shoamanesh, Ashkan [Auteur]
Jäger, Hans Rolf [Auteur]
Cordonnier, Charlotte [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Klijn, Catharina JM [Auteur]
Smith, Eric E. [Auteur]
Greenberg, Steven M. [Auteur]
Werring, David J. [Auteur]
Viswanathan, Anand [Auteur]

Titre de la revue :

Annals of Neurology

Nom court de la revue :

Ann Neurol

Numéro :

93

Pagination :

16-28

Éditeur :

Wiley

Date de publication :

2023-01

ISSN :

1531-8249

Mot(s)-clé(s) en anglais :

Arteriolosclerosis* / complications
Cerebral Amyloid Angiopathy* / complications
Cerebral Amyloid Angiopathy* / diagnostic imaging
Cerebral Hemorrhage / complications
Humans
Magnetic Resonance Imaging
Neuroimaging
Risk Factors

Discipline(s) HAL :

Sciences du Vivant [q-bio]
Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC]

Résumé en anglais : [en]

Objective Determining the underlying causes of intracerebral hemorrhage (ICH) is of major importance, because risk factors, prognosis, and management differ by ICH subtype. We developed a new causal CLASsification system ...
Lire la suite >Objective Determining the underlying causes of intracerebral hemorrhage (ICH) is of major importance, because risk factors, prognosis, and management differ by ICH subtype. We developed a new causal CLASsification system for ICH Subtypes, termed CLAS-ICH, based on recent advances in neuroimaging. Methods CLAS-ICH defines 5 ICH subtypes: arteriolosclerosis, cerebral amyloid angiopathy, mixed small vessel disease (SVD), other rare forms of SVD (genetic SVD and others), and secondary causes (macrovascular causes, tumor, and other rare causes). Every patient is scored in each category according to the level of diagnostic evidence: (1) well-defined ICH subtype; (2) possible underlying disease; and (0) no evidence of the disease. We evaluated CLAS-ICH in a derivation cohort of 113 patients with ICH from Massachusetts General Hospital, Boston, USA, and in a derivation cohort of 203 patients from Inselspital, Bern, Switzerland. Results In the derivation cohort, a well-defined ICH subtype could be identified in 74 (65.5%) patients, including 24 (21.2%) with arteriolosclerosis, 23 (20.4%) with cerebral amyloid angiopathy, 18 (15.9%) with mixed SVD, and 9 (8.0%) with a secondary cause. One or more possible causes were identified in 42 (37.2%) patients. Interobserver agreement was excellent for each category (kappa value ranging from 0.86 to 1.00). Despite substantial differences in imaging modalities, we obtained similar results in the validation cohort. Interpretation CLAS-ICH is a simple and reliable classification system for ICH subtyping, that captures overlap between causes and the level of diagnostic evidence. CLAS-ICH may guide clinicians to identify ICH causes, and improve ICH classification in multicenter studies. ANN NEUROL 2023;93:16–28Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Équipe(s) de recherche :

Troubles cognitifs dégénératifs et vasculaires

Date de dépôt :

2024-01-16T00:38:13Z
2024-12-11T16:11:28Z