Seizure or syncope: Is the history-based scale feasible to use in an emergency department setting?

IF 2.1 4区 医学 Q2 EMERGENCY MEDICINE Australasian Emergency Care Pub Date : 2023-12-05 DOI:10.1016/j.auec.2023.11.002
Stevo Lukić , Aleksandar Stojanov
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Abstract

Background

This study aimed to assess the efficacy of a screening questionnaire, based on historical criteria, in distinguishing between seizures and syncope in patients experiencing their first episode of transient loss of consciousness (TLOC) in a neurology emergency department.

Methods

A prospective cohort of 159 patients with initial TLOC episodes underwent clinical observation and answered a nine-question screening questionnaire. The questionnaire's predictive ability was compared to final diagnoses determined through detailed neurology, electrophysiology, and cardiology assessments during a minimum 12-month follow-up. Logistic regression (LR) analysis was performed with final diagnosis as the outcome variable. The calibration and discrimination of the models were assessed.

Results

revealed that the screening score accurately classified 72.33% of patients. Among those with positive screening scores, 65 (67.71%) had seizures compared to 31 (32.29%) with syncope. Introducing a novel risk-scoring model incorporating age and gender, in addition to the screening score, significantly improved performance achieving an accurate classification rate of 81.48%. Among patients with a positive prediction, 63 (80.77%) had seizure, whereas 15 (19.23%) had syncope.

Conclusions

Employing a structured questionnaire based on common historical criteria is a valuable tool for distinguishing between seizure and syncope in the dynamic setting of the emergency department.

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癫痫或晕厥:基于病史的量表是否适用于急诊科?
背景:本研究旨在评估基于历史标准的筛查问卷在神经内科急诊科首次经历短暂性意识丧失(TLOC)的患者中区分癫痫发作和晕厥的功效。方法:对159例首次TLOC发作的患者进行临床观察,并回答9个问题的筛查问卷。在至少12个月的随访中,问卷的预测能力与通过详细的神经学、电生理学和心脏病学评估确定的最终诊断进行了比较。以最终诊断为结局变量进行Logistic回归分析。对模型的标定和判别进行了评价。结果:筛查评分准确分类患者72.33%。筛查评分阳性的患者中,癫痫发作65例(67.71%),晕厥31例(32.29%)。在筛选评分的基础上,引入了一种结合年龄和性别的新型风险评分模型,显著提高了绩效,准确率达到81.48%。阳性预测患者中癫痫发作63例(80.77%),晕厥15例(19.23%)。结论:在急诊科的动态环境中,采用基于共同历史标准的结构化问卷是区分癫痫发作和晕厥的一个有价值的工具。
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来源期刊
Australasian Emergency Care
Australasian Emergency Care Nursing-Emergency Nursing
CiteScore
3.30
自引率
5.60%
发文量
82
审稿时长
37 days
期刊介绍: Australasian Emergency Care is an international peer-reviewed journal dedicated to supporting emergency nurses, physicians, paramedics and other professionals in advancing the science and practice of emergency care, wherever it is delivered. As the official journal of the College of Emergency Nursing Australasia (CENA), Australasian Emergency Care is a conduit for clinical, applied, and theoretical research and knowledge that advances the science and practice of emergency care in original, innovative and challenging ways. The journal serves as a leading voice for the emergency care community, reflecting its inter-professional diversity, and the importance of collaboration and shared decision-making to achieve quality patient outcomes. It is strongly focussed on advancing the patient experience and quality of care across the emergency care continuum, spanning the pre-hospital, hospital and post-hospital settings within Australasia and beyond.
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