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Updated: Sep 26, 2025

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
Published on: July 28, 2018
External validation of brain arteriovenous malformation haemorrhage scores, AVICH, ICH and R2eD
Basel A Taweel1,2,3, Conor S Gillespie4,5, George E Richardson4,5
1Institute of Systems, Integrative and Molecular Biology (ISMIB), University of Liverpool, Liverpool, UK. b.taweel@liverpool.ac.uk.
Purpose:
To externally validate the arteriovenous malformation-related intracerebral haemorrhage (AVICH), intracerebral haemorrhage (ICH), and novel haemorrhage presentation risk score (R2eD) in brain arteriovenous malformations.
Methods:
Adult patients diagnosed radiologically with an arteriovenous malformation (AVM) at a tertiary neurosurgical centre between 2007 and 2018 were eligible for inclusion. Both the AVICH and ICH scores were calculated for AVM-related symptomatic haemorrhage (SH) and compared against the modified Rankin scale (mRS) at discharge and last follow-up, with unfavourable outcome defined as mRS > 2. R2eD scores were stratified based on presentation with SH. External validity was assessed using Harrel's C-statistic.
Results:
Two hundred fifty patients were included. Mean age at diagnosis was 46.2 years [SD = 16.5]). Eighty-seven patients (34.8%) had a SH, with 83 included in the analysis. Unfavourable mRS outcome was seen in 18 (21.6%) patients at discharge and 18 (21.6%) patients at last follow-up. The AVICH score C-statistic was 0.67 (95% confidence interval [CI], 0.53-0.80) at discharge and 0.70 (95% CI, 0.56-0.84) at last follow-up. The ICH score C-statistic was 0.78 (95% CI 0.67-0.88), at discharge and 0.80 (95% CI 0.69-0.91) at last follow-up. The R2eD score C-statistic for predicting AVM haemorrhage was 0.60 (95% CI, 0.53-0.67).
Conclusions:
The AVICH score showed fair-poor performance, while the ICH score showed good-fair performance. The R2eD score demonstrated poor performance, and its clinical utility in predicting AVM haemorrhage remains unclear.

