Patient-reported symptoms and admission pathways in stroke mimics versus confirmed stroke or transient ischaemic attack: a cross-sectional observational study
Abstract
OBJECTIVES: To determine patient-reported symptoms and clinical factors associated with mimics and differences in health-seeking behaviour versus stroke.
DESIGN: This is a post-hoc analysis of a cross-sectional survey of interviews on patient-reported factors in patients admitted with suspected stroke. Patients were categorised as genuine stroke or mimic. The surveys were conducted from February 2018 to January 2019.
SETTING: Two non-comprehensive stroke centres in Denmark.
PARTICIPANTS: Patients≥18 years (no upper age limit) admitted with symptoms of stroke to one of the non-comprehensive stroke centres or transferred from a comprehensive- or primary stroke centre were eligible for inclusion. 592 patients were included.
OUTCOME MEASURES: Symptoms or clinical factors associated with stroke mimics. Logistic regression analysis was performed to identify factors associated with mimics. Secondarily, the number of strokes versus mimics presenting at a healthcare facility within 3 hours contacted the emergency medical service (EMS) and arrived by ambulance.
RESULTS: Of 592 suspected patients with stroke, 113 (19.1%) were mimics; most frequently peripheral vertigo (24.7%) and migraine (11.5%). Factors associated with a higher likelihood of mimics were female sex (OR 1.79, 95% CI 1.14 to 2.79), high Scandinavian Stroke Scale scores (OR 1.05, 95% CI 1.02 to 1.09, per point increase), and vertigo (OR 1.86, 95% CI 1.18 to 2.95). Factors associated with a lower likelihood of mimics were…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 592 participants or records.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.