Title :

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

Author(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]

Journal title :

Annals of Neurology

Abbreviated title :

Ann Neurol

Volume number :

93

Pages :

16-28

Publisher :

Wiley

Publication date :

2023-01

ISSN :

1531-8249

English keyword(s) :

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

HAL domain(s) :

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

English abstract : [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 ...
Show more >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;93:16–28Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Research team(s) :

Troubles cognitifs dégénératifs et vasculaires

Submission date :

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