Integrating clinical predictors and glial fibrillary acidic protein in prediction models for the prehospital identification of intracerebral haemorrhage in suspected stroke
Combining clinical predictors with GFAP shows promise for the prehospital identification of ICH to support transport decision-making and potentially initiate treatment while en route for these patients. Prospective validation using portable point-of-care devices is required to confirm the utility of this approach in the prehospital setting.
Authors
- Adrian Parry‐Jones (ORCID: https://orcid.org/0000-0002-4462-3846)
- David Jenkins (ORCID: https://orcid.org/0000-0001-6687-3507)
- Mohammed Almubayyidh (ORCID: https://orcid.org/0000-0003-3266-1236)
- Edoardo Gaude (ORCID: https://orcid.org/0000-0001-8523-7792)
Institutions
- King Saud bin Abdulaziz University for Health Sciences (SA)
- Manchester Academic Health Science Centre (GB)
- King Saud University (SA)
- University of Manchester (GB)
- CS Diagnostics (DE)
Publication Details
- Journal
- BMJ Neurology Open
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1136/bmjno-2025-001160
- Citations
- 2
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 2.78