Jiangsu Food & Pharmaceutical Science College, Huai'an, Jiangsu 223023, China.
Department of Emergency, Huai'an Second People's Hospital, Huai'an, Jiangsu 223001, China.
Comput Math Methods Med. 2022 May 20;2022:2968044. doi: 10.1155/2022/2968044. eCollection 2022.
We aimed to explore the risk factors of stroke in patients with vertigo in the emergency department and establish a risk prediction model for stroke patients.
A total of 301 patients experiencing vertigo in our hospital from January 2020 to January 2021 were retrospectively included. Patients were divided into the stroke group ( = 56) and the nonstroke group ( = 245). The clinical characteristics of patients in both groups were collected and compared, followed by binary logistic regression that was employed to determine the risk factors that affect stroke diagnosis. The receiver operating characteristic (ROC) curve was used to clarify the effectiveness of the constructed model.
Patients in the stroke group were older and had higher systolic and diastolic blood pressure on admission than the nonstroke group. Meanwhile, they demonstrated a higher proportion of diabetes and atrial fibrillation and focal muscle weakness, dysarthria, dysphagia, or ataxia in neurological examinations compared to the nonstroke group (all < 0.05). The proportion of patients in the nonstroke group who had a history of vertigo or inner ear disease was significantly higher than that in the stroke group ( < 0.05). The patient's age ≥ 60 years old (OR = 3.57), diabetes (OR = 4.57), atrial fibrillation (OR = 4.26), previous history of vertigo or inner ear disease (OR = 0.16), focal muscle weakness (OR = 4.34), and dysphagia or ataxia (OR = 4.08) were associated with a higher risk of stroke. The area under the curve for stroke was 0.87, and the sensitivity and specificity were 98.2% and 57.6%, respectively, as the sum of the assigned scores was greater than 3.
Age ≥ 60 years old, diabetes, atrial fibrillation, previous history of vertigo or inner ear disease, focal muscle weakness, dysphagia, or ataxia were associated with a higher risk of stroke. The risk model constructed based on our findings may help to assess the risk of stroke in patients with vertigo in the emergency department.
旨在探讨急诊科眩晕患者发生脑卒中的危险因素，并建立脑卒中患者的风险预测模型。
回顾性纳入我院 2020 年 1 月至 2021 年 1 月期间 301 例眩晕患者，将患者分为脑卒中组（=56 例）和非脑卒中组（=245 例）。收集两组患者的临床特征并进行比较，采用二分类 Logistic 回归分析确定影响脑卒中诊断的危险因素。使用受试者工作特征（ROC）曲线来明确构建模型的有效性。
脑卒中组患者年龄较大，入院时收缩压和舒张压均高于非脑卒中组。同时，脑卒中组患者的糖尿病和心房颤动比例以及神经检查中的局灶性肌无力、构音障碍、吞咽困难或共济失调比例均高于非脑卒中组（均<0.05）。非脑卒中组患者中有眩晕或内耳疾病病史的比例明显高于脑卒中组（<0.05）。患者年龄≥60 岁（OR=3.57）、糖尿病（OR=4.57）、心房颤动（OR=4.26）、眩晕或内耳疾病病史（OR=0.16）、局灶性肌无力（OR=4.34）和吞咽困难或共济失调（OR=4.08）与脑卒中风险增加相关。脑卒中的曲线下面积为 0.87，总分>3 分时，灵敏度和特异度分别为 98.2%和 57.6%。
年龄≥60 岁、糖尿病、心房颤动、眩晕或内耳疾病病史、局灶性肌无力、吞咽困难或共济失调与脑卒中风险增加相关。基于本研究结果构建的风险模型可能有助于评估急诊科眩晕患者发生脑卒中的风险。
