Literature DB >> 28256416

The TriAGe+ Score for Vertigo or Dizziness: A Diagnostic Model for Stroke in the Emergency Department.

R Kuroda1, T Nakada2, T Ojima3, M Serizawa4, N Imai4, N Yagi4, A Tasaki5, M Aoki2, T Oiwa2, T Ogane2, K Mochizuki2, M Kobari4, H Miyajima6.   

Abstract

BACKGROUND: Vertigo or dizziness is a common occurrence, but it remains a challenging symptom when encountered in the emergency department (ED). A diagnostic score for stroke with high accuracy is therefore required.
METHODS: A single-center observational study (498 patients) was conducted. The predictor variables were derived from a multivariate logistic regression analysis with Akaike information criterion. The outcome was the occurrence of stroke. We evaluated the utility of a new diagnostic score (TriAGe+) and compared it with the ABCD2 score.
RESULTS: The cohorts included 498 patients (147 with stroke [29.4%]). Eight variables were included: triggers, atrial fibrillation, male gender, blood pressure ≥140/90 mm Hg, brainstem or cerebellar dysfunction, focal weakness or speech impairment, dizziness, and no history of vertigo or dizziness or labyrinth or vestibular disease. We derived the TriAGe+ score from these variables. In the cohort, the prevalence of stroke increased significantly using the diagnostic score: 5.9% for a score of 0-4; 9.1% for 5-7; 24.7% for 8-9; and 57.3% for 10-17. At a cutoff value of 10 points, the sensitivity of the score was 77.5%, the specificity was 72.1%, and the positive likelihood ratio was 3.2. When the cutoff was defined as 5 points, the score obtained a high sensitivity (96.6%) with a good negative likelihood ratio (.15). The new score outperformed the ABCD2 score for the occurrence of stroke (C statistic, .818 versus .726; P < .001).
CONCLUSIONS: The TriAGe+ score can identify the occurrence of stroke in patients with vertigo or dizziness presenting to the ED.
Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ABCD2; Vertigo; diagnosis; dizziness; emergency departments; stroke

Mesh:

Year:  2017        PMID: 28256416     DOI: 10.1016/j.jstrokecerebrovasdis.2017.01.009

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  8 in total

1.  Etiologic distribution of dizziness and vertigo in a referral-based dizziness clinic in South Korea.

Authors:  Hyo-Jung Kim; Ja-Ok Lee; Jeong-Yoon Choi; Ji-Soo Kim
Journal:  J Neurol       Date:  2020-04-16       Impact factor: 4.849

2.  Risk Factors and Risk Model Construction of Stroke in Patients with Vertigo in Emergency Department.

Authors:  Zhuqing Zhu; Qian Li; Li Wang; Chunling Xiao; Hui Wang; Yan Xu
Journal:  Comput Math Methods Med       Date:  2022-05-20       Impact factor: 2.809

Review 3.  [Neuro-otology: at the borders of ear and brain].

Authors:  A Zwergal; V Kirsch; J Gerb; J Dlugaiczyk; S Becker-Bense; M Dieterich
Journal:  Nervenarzt       Date:  2018-10       Impact factor: 1.214

4.  Diagnostic accuracy of clinical tools for assessment of acute stroke: a systematic review.

Authors:  Daria Antipova; Leila Eadie; Ashish Macaden; Philip Wilson
Journal:  BMC Emerg Med       Date:  2019-09-04

5.  Health care providers' perceptions of factors that influence the provision of acute stroke care in urban and rural settings: A qualitative study.

Authors:  Mitchell Dwyer; Gregory M Peterson; Seana Gall; Karen Francis; Karen M Ford
Journal:  SAGE Open Med       Date:  2020-05-13

6.  Prediction of a time-sensitive condition among patients with dizziness assessed by the emergency medical services.

Authors:  C Magnusson; J Gärskog; E Lökholm; J Stenström; R Wetter; C Axelsson; M Andersson Hagiwara; N Packendorff; K Jood; T Karlsson; J Herlitz
Journal:  BMC Emerg Med       Date:  2021-03-25

7.  A Dynamic Nomogram to Predict the Risk of Stroke in Emergency Department Patients With Acute Dizziness.

Authors:  Ying Bi; Fei Cao
Journal:  Front Neurol       Date:  2022-02-18       Impact factor: 4.003

8.  Diagnosis of Acute Central Dizziness With Simple Clinical Information Using Machine Learning.

Authors:  Bum Joon Kim; Su-Kyeong Jang; Yong-Hwan Kim; Eun-Jae Lee; Jun Young Chang; Sun U Kwon; Jong S Kim; Dong-Wha Kang
Journal:  Front Neurol       Date:  2021-07-12       Impact factor: 4.003

  8 in total

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