Evidence map›Paper›PMID 40660131›Full record

ArticleBMC emergency medicine2025

Diagnostic performance of a novel clinical score for predicting acute ischemic stroke in emergency department patients presenting with vertigo or dizziness.

Tuğba Sanalp Menekşe, İlker Şirin, Yavuz Otal

Abstract read
In one paragraph

Article in BMC emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tuğba Sanalp MenekşeDepartment of Emergency Medicine, Ministry of Health Ankara Etlik City Hospital, Ankara, Turkey. tugba.sanalp@hotmail.com.ORCID http://orcid.org/0000-0003-3292-6273
İlker ŞirinDepartment of Emergency Medicine, Ministry of Health Ankara Etlik City Hospital, Ankara, Turkey.ORCID http://orcid.org/0000-0003-2694-5574
Yavuz OtalDepartment of Emergency Medicine, Ministry of Health Ankara Etlik City Hospital, Ankara, Turkey.ORCID http://orcid.org/0000-0001-8529-4957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVertigo or dizziness (VDS) are common reasons for emergency department (ED) visits and pose significant challenges in the early identification of acute ischemic stroke (AIS). The TriAGe + score was developed to predict AIS in patients presenting with VDS without relying on neuroimaging; however, its diagnostic accuracy compared with ABCD-based scores remains uncertain. This study aims to evaluate the efficacy of the TriAGe + score in distinguishing central ischemic causes from peripheral etiologies in patients with VDS and to compare its predictive accuracy for AIS, including posterior circulation infarctions (PCIs), with that of the ABCD2, ABCD3, and ABCD3-I scores.

methodsThis retrospective cohort study evaluated 1,138 patients who presented to a tertiary ED with VDS complaints between January 2023 and July 2024. After applying the exclusion criteria, 886 patients were included. All patients underwent diffusion-weighted magnetic resonance imaging within 72 h for diagnostic confirmation. On the basis of the imaging results, 210 patients were diagnosed with AIS, while 676 patients without findings consistent with AIS were considered the control group. The predictive performance of the TriAGe + and ABCD scores was evaluated in both groups via logistic regression and receiver operating characteristic (ROC) analyses.

resultsPCIs accounted for 74.3% of all AIS cases. The TriAGe + score demonstrated greater diagnostic accuracy than did the ABCD scores in the ROC analysis among all patients (AUC = 0.979; 95% confidence interval [CI]: 0.967-0.987). For the diagnosis of AIS in all patients, the TriAGe + score had a cutoff value of > 7, with a sensitivity of 91% and a specificity of 91.3%. In patients without focal weakness or sensory loss, the TriAGe + score remained a strong predictor of AIS, with a cutoff value of 5, yielding a sensitivity of 97.5% and a specificity of 80.9% (AUC = 0.950; 95% CI: 0.932-0.964).

conclusionThe TriAGe + score is useful in the diagnosis of AIS in patients presenting to the ED with VDS complaints. It outperforms ABCD scores in sensitivity and specificity, particularly in cases without focal neurological deficits. Implementing the TriAGE + score may optimize neuroimaging use, reduce healthcare costs, and improve ED efficiency by assisting clinicians in prioritizing high-risk patients. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

DizzinessEmergency Service, HospitalIschemic StrokeTriageVertigoAgedAged, 80 and overDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesROC CurveCentral nervous systemCerebellar diseasesDiffusion magnetic resonance imagingInfarctionNeuroimaging

Identifiers

PMID40660131
PMCPMC12261693

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.