Prospective validation of prognostic and diagnostic syncope scores in the emergency department
- PMID: 30224031
- DOI: 10.1016/j.ijcard.2018.06.088
Prospective validation of prognostic and diagnostic syncope scores in the emergency department
Abstract
Background: Various scores have been derived for the assessment of syncope patients in the emergency department (ED) but stay inconsistently validated. We aim to compare their performance to the one of a common, easy-to-use CHADS2 score.
Methods: We prospectively enrolled patients ≥ 40 years old presenting with syncope to the ED in a multicenter study. Early clinical judgment (ECJ) of the treating ED-physician regarding the probability of cardiac syncope was quantified. Two independent physicians adjudicated the final diagnosis after 1-year follow-up. Major cardiovascular events (MACE) and death were recorded during 2 years of follow-up. Nine scores were compared by their area under the receiver-operator characteristics curve (AUC) for death, MACE or the diagnosis of cardiac syncope.
Results: 1490 patients were available for score validation. The CHADS2-score presented a higher or equally high accuracy for death in the long- and short-term follow-up than other syncope-specific risk scores. This score also performed well for the prediction of MACE in the long- and short-term evaluation and stratified patients with accuracy comparative to OESIL, one of the best performing syncope-specific risk score. All scores performed poorly for diagnosing cardiac syncope when compared to the ECJ.
Conclusions: The CHADS2-score performed comparably to more complicated syncope-specific risk scores in the prediction of death and MACE in ED syncope patients. While better tools incorporating biochemical and electrocardiographic markers are needed, this study suggests that the CHADS2-score is currently a good option to stratify risk in syncope patients in the ED.
Trial registration: NCT01548352.
Keywords: Diagnosis; Emergency department; Scores; Syncope.
Copyright © 2018 Elsevier B.V. All rights reserved.
Comment in
-
Risk prediction tools for Syncope: The quest for the holy grail.Int J Cardiol. 2018 Oct 15;269:192-193. doi: 10.1016/j.ijcard.2018.07.127. Epub 2018 Jul 26. Int J Cardiol. 2018. PMID: 30068486 No abstract available.
Publication types
MeSH terms
Associated data
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
