Comparative external validation of ICH prognostic scores for discharge outcomes in the RES-Q multinational quality registry
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Prognostic scores are routinely applied after spontaneous intracerebral haemorrhage (ICH) to inform clinical decision-making and stratify risk; however, direct comparative validation in contemporary, multinational real-world cohorts remains scarce. AIMS: To compare the discriminative performance of the ICH Score, max-ICH and ICH Functional Outcome Score (ICH-FOS) for discharge outcomes after spontaneous intracerebral haemorrhage in a large contemporary multinational cohort from the International Registry of Stroke Care Quality (RES-Q). METHODS: We analysed consecutive adults with spontaneous ICH recorded in RES-Q between September 2024 and April 2025. Discharge outcomes were defined according to the modified Rankin Scale (mRS): mortality (mRS = 6), unfavourable functional outcome (mRS ≥ 4) and composite poor outcome (mRS 5-6). Discrimination was assessed using receiver operating characteristic curves and area under the curves (AUCs) with 95% confidence intervals. Areas under the curve were compared in the same complete-case cohort using global tests and pairwise DeLong contrasts. Score distributions were characterised descriptively to explore differences in granularity. RESULTS: The complete-case cohort comprised 8450 patients from 56 countries. Median age was 63 (20) years, and 62% were male. Median National Institutes of Health Stroke Scale was 11 (12), Glasgow Coma Scale 14 (4) and median haematoma volume 16 (27) mL. Supratentorial ICH occurred in 82.1%, intraventricular haemorrhage in 31.5% and pre-admission oral anticoagulant use in 4.5%. Discharge mortality was 15.1% and favourable outcome (mRS 0-3) 56.6%. Discrimination was good for mortality (AUC 0.82 [0.81-0.83] for ICH Score, 0.81 [0.79-0.82] for max-ICH, 0.84 [0.83-0.86] for ICH-FOS; global P < .0001). For unfavourable outcome (mRS ≥ 4), AUCs were 0.77 (0.76-0.78), 0.81 (0.81-0.82) and 0.84 (0.83-0.85), respectively (P < .0001). For composite poor outcome (mRS 5-6), AUCs were 0.83 (0.82-0.84), 0.84 (0.83-0.85) and 0.87 (0.86-0.88) (P < .0001). CONCLUSIONS: In this large, contemporary, multinational registry cohort, all 3 prognostic scores demonstrated acceptable-to-excellent discriminative ability for discharge outcomes following spontaneous ICH. ICH Functional Outcome Score consistently achieved the highest discriminative performance across all endpoints, whereas max-ICH provided a pragmatic and robust alternative based on routinely available clinical variables.
Source: European Stroke Journal
DOI: 10.1093/esj/aakag105
Authors: Ana Cláudia de Souza, Geraldo Neto, Nguyen Huy Thang, Nijasri C Suwanwela, Adin Nulkhasanah, Maria Epifania Collantes, Sheila Ouriques Martins, Sergii Moskovko, Mario A Munoz-Collazos, Louis Kroon, Jeyaraj Pandian, Adam Kobayashi, Zuzana Gdovinová, Natalia Ciobanu, Francisco Moniche, Cristina Tiu, Rupal Sedani, Robert Mikulík, P N Sylaja
Institutions: Hospital Moinhos de Vento, International Clinical Research Center, St. Anne's University Hospital Brno, St. Anne's University Hospital Brno, Pham Ngoc Thach University of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, National Brain Centre, Philippine General Hospital, University of the Philippines Manila, Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, National Pirogov Memorial Medical University, Vinnytsya, Steve Biko Hospital, University of Pretoria, Christian Medical College, Cardinal Stefan Wyszynski University in Warsaw, University of Pavol Jozef Šafárik, Univerzitná Nemocnica Louisa Pasteura, Nicolae Testemițanu State University of Medicine and Pharmacy, Consejo Superior de Investigaciones Científicas, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Carol Davila University of Medicine and Pharmacy, World Stroke Organization, Sree Chitra Thirunal Institute for Medical Sciences and Technology
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,400
OpenAlex ID: W7212190083
