Abstract:
:Introduction. Evaluation of Guidelines in Syncope Study (EGSYS) is designed to differentiate between cardiac and noncardiac causes of syncope. The present study aimed to evaluate the accuracy of this predictive model. Methods. In this prospective cross-sectional study, screening performance characteristics of EGSYS-U (univariate) and EGSYS-M (multivariate) in prediction of cardiac syncope were calculated for syncope patients who were referred to the emergency department (ED). Results. 198 patients with mean age of 59.26 ± 19.5 years were evaluated (62.3% male). 115 (58.4%) patients were diagnosed with cardiac syncope. Area under the ROC curve was 0.818 (95% CI: 0.75-0.87) for EGSYS-U and 0.805 (CI 95%: 0.74-0.86) for EGSYS-M (p = 0.53). Best cut-off point for both models was ≥3. Sensitivity and specificity were 86.08% (95% CI: 78.09-91.59) and 68.29% (95% CI: 56.97-77.86) for EGSYS-U and 91.30% (95% CI: 84.20-95.52) and 57.32% (95% CI: 45.92-68.02) for EGSYS-M, respectively. Conclusion. The results of this study demonstrated the acceptable accuracy of EGSYS score in predicting cardiogenic causes of syncope at the ≥3 cut-off point. It seems that using this model in daily practice can help physicians select at risk patients and properly triage them.
journal_name
Emerg Med Intjournal_title
Emergency medicine internationalauthors
Kariman H,Harati S,Safari S,Baratloo A,Pishgahi Mdoi
10.1155/2015/515370subject
Has Abstractpub_date
2015-01-01 00:00:00pages
515370eissn
2090-2840issn
2090-2859journal_volume
2015pub_type
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journal_title:Emergency medicine international
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