Patients with dizziness commonly present to Emergency Departments (ED) and 6% of these patients will be diagnosed with acute stroke. The TriAGe+ score comprises of eight clinical parameters and stratifies patients into four risk groups. The Japanese authors reported that the tool performed well, so our aim was to validate this diagnostic tool in our ED in Hong Kong.

A single-center retrospective observational study was conducted in the ED of our university hospital in Hong Kong. The primary outcome was the diagnosis of an acute cerebrovascular event. Receiver operator characteristic (ROC) analysis was performed to determine the best cut-off score. Secondary outcomes included univariable and multivariable analyses of stroke predictors.

455 patients aged 18 years or above with dizziness or vertigo at ED triage were recruited between 19 July and 30 September 2021. The overall prevalence of stroke was 11.9%. The median TriAGe+ score was 7 (IQR = 4–9). The AUC was 0.9. At a cut-off >5, sensitivity was 96.4% (95%CI: 87.3–99.5) and the negative likelihood ratio was 0.09 (95%CI: 0.02–0.3). At a cut-off >10, specificity was 99.8% (95%CI: 98.6–100.0), and the positive likelihood ratio was 237.6 (95%CI: 33.1–1704). On multivariable analyses, atrial fibrillation, blood pressure, gender, dizziness (not vertigo) and no history of dizziness, vertigo or labyrinth/vestibular disease were found to be positively associated with stroke outcomes significantly.

The TriAGe+ score is an efficient stroke prediction score for patients presenting to the ED with dizziness.