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Semi-quantitative Assessment Using [18F]FDG Tracer in Patients with Severe Brain Injury
Published on: November 9, 2018
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Clinical Grading Scales and Neuroprognostication in Acute Brain Injury
Sahily Reyes-Esteves1, Monisha Kumar1, Scott E Kasner1
1Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Seminars in Neurology
|October 3, 2023
Summary
Predicting neurological outcomes after acute brain injury is vital. This review examines quality measures and available scales for prognostication, aiding clinical practice and patient care.
Area of Science:
- Neurology
- Clinical Prognostication
- Medical Informatics
Background:
- Accurate prediction of neurological clinical outcome post-acute brain injury is crucial for patient management and resource allocation.
- Existing clinical grading scales for prognostication lack standardized development and validation, hindering clinical integration.
- Difficulty in relying on and integrating prognostic scales impacts patient care decisions.
Conclusions:
- Standardized approaches to scale development and validation are needed for reliable neurological prognostication.
- A comprehensive understanding of available scales and their validation status can improve clinical decision-making.
- This review provides a framework for assessing and utilizing prognostic tools in acute brain injury care.

