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Dataset Information

Development and internal validation of prehospital prediction models for identifying intracerebral haemorrhage in suspected stroke patients.


ABSTRACT:

Introduction

Distinguishing patients with intracerebral haemorrhage (ICH) from other suspected stroke cases in the prehospital setting is crucial for determining the appropriate level of care and minimising the onset-to-treatment time, thereby potentially improving outcomes. Therefore, we developed prehospital prediction models to identify patients with ICH among suspected stroke cases.

Methods

Data were obtained from the Field Administration of Stroke Therapy-Magnesium prehospital stroke trial, where paramedics evaluated multiple variables in suspected stroke cases within the first 2 hours from the last known well time. A total of 19 candidate predictors were included to minimise overfitting and were subsequently refined through the backward exclusion of non-significant pre

SUBMITTER: Almubayyidh M 

PROVIDER: S-EPMC11529750 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature