Clinical and Radiographic Predictors of Intracerebral Hemorrhage Outcome

Overview

Journal Interv Neurol

Date 2018 Apr 10

PMID 29628951

Citations 28

Authors

Fawaz Al-Mufti

Ahmad M Thabet

Tarundeep Singh

Mohammad El-Ghanem

Krishna Amuluru

Chirag D Gandhi

Affiliations

Soon will be listed here.

Abstract

Background: Intracerebral hemorrhage (ICH) represents 10-15% of all stroke cases in the US annually. Fewer than 40% of these patients ever reach long-term functional independence, and mortality rate is roughly 40% at 1 month. Due to the high morbidity and mortality rates after ICH, early detection of high-risk patients would be beneficial in directing the management course and goals of care. This review aims to discuss relevant clinical and radiographic characteristics that can serve as predictors of poor prognosis and examine their efficacy in predicting patient outcomes after ICH.

Summary: A literature review was conducted on various clinical and radiographic factors. They were examined for their predictive value in relation to ICH outcome. Studies that focused on each of these factors were included, and their results analyzed for trends with regard to incidence, patient outcome, and mortality rate.

Key Message: In this review, we examined clinical and radiographic characteristics that have been found to be significantly associated to a varying degree with poor outcome. Clinical and radiographic predictors of poor patient outcome are invaluable when it comes to identifying high-risk patients and triaging accordingly as well as guiding decision-making.

Citing Articles

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Enhancing mortality prediction in patients with spontaneous intracerebral hemorrhage: Radiomics and supervised machine learning on non-contrast computed tomography.

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