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急诊科非创伤性头痛的风险分层

Risk stratification of non-traumatic headache in the emergency department.

作者信息

Grimaldi Daniela, Nonino Francesco, Cevoli Sabina, Vandelli Alberto, D'Amico Roberto, Cortelli Pietro

机构信息

Alma Mater Studiorum-Università di Bologna, Dipartimento di Scienze Neurologiche, Via Ugo Foscolo, 7, 40123 Bologna, Italy.

出版信息

J Neurol. 2009 Jan;256(1):51-7. doi: 10.1007/s00415-009-0033-0. Epub 2009 Feb 9.

Abstract

OBJECTIVE

To determine the diagnostic accuracy of an algorithm structured in four clinical scenarios to discriminate benign primary headaches from serious secondary non-traumatic headaches (NTH) in the emergency department (ED).

BACKGROUND

NTH is usually a benign symptom but can occasionally result in serious outcome making the disposition of patients with NTH difficult in the ED.

DESIGN AND METHODS

Consecutive adults patients referring to 8 EDs of the Emilia-Romagna region in Italy for NTH as the chief complaint were recruited in the study for a 30-day period. ED physicians attributed to each patient one of the four clinical scenarios (1, 2 and 3 identifying serious secondary headaches and scenario 4 identifying benign primary headaches) or an undetermined scenario when none of the four scenarios applied. Reference standards of the study were the head CT scan and a follow-up telephone interview after three months by the ED admission.

RESULTS

The test was administered to 256 out of 302 (85%) eligible patients. The analysis (scenario 1,2,3 vs scenario 4) was based on 180 patients who completed the follow-up showing a sensitivity of 100% (95% confidence interval, 81% to 100%) and a specificity of 64% (56% to 71%). The likelihood ratio for a positive test was 2.67 (2.15 to 3.31) and the likelihood ratio for a negative test was 0.04 (0.003 to 0.64).

CONCLUSIONS

An algorithm based on four clinical scenarios can be administered to the majority of patients presenting to the ED with the chief complaint of NTH. The algorithm showed a good accuracy in identifying patients with non-life threatening causes of headache and could be used as a risk stratification tool to improve clinical decision- making. Further studies are required to validate this diagnostic algorithm.

摘要

目的

确定一种由四种临床场景构成的算法在急诊科(ED)中区分原发性良性头痛与严重继发性非创伤性头痛(NTH)的诊断准确性。

背景

NTH通常是一种良性症状,但偶尔会导致严重后果,这使得急诊科对NTH患者的处理变得困难。

设计与方法

在意大利艾米利亚 - 罗马涅地区的8家急诊科,以NTH为主要诉求的连续成年患者被纳入研究,为期30天。急诊科医生将四种临床场景之一(场景1、2和3识别严重继发性头痛,场景4识别原发性良性头痛)或在四种场景均不适用时归为未确定场景分配给每位患者。该研究的参考标准是头部CT扫描以及急诊科入院三个月后的随访电话访谈。

结果

对302名符合条件的患者中的256名(85%)进行了测试。分析(场景1、2、3与场景4)基于180名完成随访的患者,其敏感性为100%(95%置信区间,81%至100%),特异性为64%(56%至71%)。阳性测试的似然比为2.67(2.15至3.31),阴性测试的似然比为0.04(0.003至0.64)。

结论

基于四种临床场景的算法可应用于大多数以NTH为主要诉求就诊于急诊科的患者。该算法在识别无生命威胁性头痛原因的患者方面显示出良好的准确性,可作为一种风险分层工具以改善临床决策。需要进一步研究来验证这种诊断算法。

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