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Παρασκευή 4 Μαΐου 2018

Identification of dizzy patients who will develop an acute cerebrovascular syndrome: a descriptive study among emergency department patients.

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Identification of dizzy patients who will develop an acute cerebrovascular syndrome: a descriptive study among emergency department patients.

Eur Arch Otorhinolaryngol. 2018 May 02;:

Authors: Mármol-Szombathy I, Domínguez-Durán E, Calero-Ramos L, Sánchez-Gómez S

Abstract
PURPOSE: To calculate the incidence of subsequent acute cerebrovascular syndrome in emergency department patients with vertigo or dizziness symptoms and to determine predictors of subsequent acute cerebrovascular syndrome in these patients.
METHODS: Descriptive and retrospective hospital based-population study among emergency department patients with vertigo or dizziness symptoms in 1 year. One year follow-up since the medical visit was performed. Chi-square and Fisher tests were used for qualitative variables; Mann-Whitney U test for quantitative variables. A multivariate model was created.
RESULTS: 1243 dizzy patients who visited emergency department during 2015 were identified, finally 928 were included. 12 acute cerebrovascular syndromes were identified; 8 strokes and 4 transient ischemic attacks. Percentages over the sample size: 1.29% for acute cerebrovascular syndromes, 0.43% for transient ischemic attack and 0.86% for stroke. Odds ratio values to develop an event over the general population were 7.24 for acute cerebrovascular syndrome, 95% CI (3.98-13.12); 14.9 for transient ischemic attack, 95% CI (4.8-40.9) and 5.86 for stroke, 95% CI (2.72-12.0). Atrial fibrillation and diabetes mellitus were identified as significant risk factors to develop an acute cerebrovascular syndrome.
CONCLUSION: Emergency department patients with symptoms of vertigo or dizziness had sevenfold higher risk of acute cerebrovascular syndromes than the general population. Atrial fibrillation and diabetes mellitus are risk factors associated with high risk of acute cerebrovascular syndromes in these patients.

PMID: 29721613 [PubMed - as supplied by publisher]



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