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1
A multivariable predictive model for stroke risk was developed and internally validated in 689 patients with acute persistent vertigo.
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2
The study identified significant predictors of stroke, including older age, smoking, hypertension, and history of atrial fibrillation.
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3
The model demonstrated excellent discrimination with an AUC of 0.902, surpassing the performance of existing scoring systems like ABCD2 and Triage-Plus.
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4
Risk tertiles from the model indicated stroke event rates of 2.6%, 10.5%, and 58.7% for low-, intermediate-, and high-risk groups, respectively.
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5
The findings suggest that the multivariable model may enhance risk stratification and diagnostic decision-making for patients with acute persistent vertigo.
