Development of a clinical risk score to risk stratify for a serious cause of vertigo: A prospective cohort study

Robert Ohle
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Abstract

Objectives: Identify highrisk clinical characteristics for a serious cause of vertigo in patients presenting to the emergency department. Design: Multicentre prospective cohort study over 3 years. Setting: Three university affiliated tertiary care emergency departments. Participants: Patients presenting with vertigo, dizziness or imbalance. A total of 2078 of 2618 potentially eligible patients (79.4%) were enrolled (mean age 77.1 years; 59% women). Main outcome measurements: An adjudicated serious diagnosis defined as stroke, transient ischemic attack, vertebral artery dissection or brain tumour. Results: Serious events occurred in 111 (5.3%) patients. We used logistic regression to create a 7 item prediction model: male, age over 65, hypertension, diabetes, motor/sensory deficits, cerebellar signs/symptoms and benign paroxysmal positional vertigo diagnosis (C statistic 0.96, 95% confidence interval [CI] 0.92 0.98). The risk of a serious diagnosis ranged from 0% for a score of <5, 2.1% for a score of 5-8, and 41% for a score >8. Sensitivity for a serious diagnosis was 100% (95% CI, 97.1 100%) and specificity 72.1% (95% CI, 70.1 74%) for a score <5. Conclusions: The Sudbury Vertigo Risk Score identifies the risk of a serious diagnosis as a cause of a patient's vertigo and can assist physicians in guiding further investigation, consultation and treatment decisions, improving resource utilization and reducing missed diagnoses.
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为严重眩晕病因的风险分层制定临床风险评分: 一项前瞻性队列研究
目标:在急诊科就诊的患者中找出导致严重眩晕的高危临床特征。设计: 3年多中心前瞻性队列研究:多中心前瞻性队列研究,为期 3 年:三所大学附属三级医院急诊科:眩晕、头晕或失衡的患者。在 2618 名可能符合条件的患者中,共有 2078 人(79.4%)入选(平均年龄 77.1 岁;59% 为女性)。主要结果测量:判定为中风、短暂性脑缺血发作、椎动脉夹层或脑肿瘤的严重诊断:111 名患者(5.3%)发生了严重事件。我们使用逻辑回归建立了一个 7 项预测模型:男性、65 岁以上、高血压、糖尿病、运动/感觉障碍、小脑体征/症状和良性阵发性位置性眩晕诊断(C 统计量 0.96,95% 置信区间 [CI] 0.92 0.98)。严重诊断的风险范围为:<5 分为 0%,5-8 分为 2.1%,>8 分为 41%。严重诊断的敏感性为 100%(95% CI,97.1 100%),特异性为 72.1%(95% CI,70.1 74%)。结论萨德伯里眩晕症风险评分能确定导致患者眩晕的严重诊断风险,可协助医生指导进一步的调查、会诊和治疗决策,提高资源利用率并减少漏诊。
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