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Risk Factors and Risk Model Construction of Stroke in Patients with Vertigo in Emergency Department
Zhuqing Zhu1, Qian Li2, Li Wang2
1Jiangsu Food & Pharmaceutical Science College, Huai'an, Jiangsu 223023, China.
Older age, diabetes, atrial fibrillation, and neurological deficits like weakness or dysphagia are key stroke risk factors in vertigo patients. A predictive model can aid emergency department risk assessment.
Area of Science:
- Neurology
- Emergency Medicine
- Cardiology
Background:
- Vertigo is a common emergency department complaint.
- Differentiating vertigo from stroke is critical for timely intervention.
- Identifying stroke risk factors in vertigo patients is essential.
Purpose of the Study:
- To explore stroke risk factors in emergency department patients presenting with vertigo.
- To establish a predictive risk model for stroke in these patients.
Main Methods:
- Retrospective study of 301 vertigo patients (January 2020 - January 2021).
- Comparison of clinical characteristics between stroke (n=56) and non-stroke (n=245) groups.
- Binary logistic regression and ROC curve analysis to identify risk factors and model effectiveness.
Main Results:
- Stroke patients were older, with higher blood pressure, and more comorbidities like diabetes and atrial fibrillation.
- Neurological deficits (weakness, dysphagia, ataxia) were more common in the stroke group.
- Key predictors for stroke included age ≥ 60, diabetes, atrial fibrillation, focal weakness, dysphagia, or ataxia (AUC=0.87).
Conclusions:
- Age, diabetes, atrial fibrillation, and specific neurological signs are significant stroke risk factors in vertigo patients.
- A validated risk prediction model can assist emergency departments in assessing stroke risk.
- Early identification of stroke risk in vertigo patients is crucial for prompt management.
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