Developing an algorithm to identify patients with intracerebral haemorrhage secondary to a macrovascular cause.

ABSTRACT:

Introduction

Determining the cause of spontaneous (non-traumatic) intracerebral haemorrhage (ICH) is critical to guide treatment and prognosis. We investigated whether small vessel disease (SVD) in addition to clinical and other radiological findings on acute neuroimaging predicts a low risk of a macrovascular cause (e.g. an arterio-venous malformation, aneurysm or dural arteriovenous fistula).

Patients and methods

We identified patients with acute spontaneous ICH who underwent acute non-contrast CT, CT angiography (CTA) and intra-arterial digital subtraction angiography (IADSA) at our institution from January 2010 to April 2014. Logistic regression including CTA result, SVD, age, pre-ICH hypertension and ICH location was used to derive a prediction model, validated using bo

SUBMITTER: Wilson D 

PROVIDER: S-EPMC6453186 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature