SVEAT score for early risk stratification of acute chest pain: a multicenter study
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Chest pain is one of the most common reasons for emergency department (ED) visits. This study aimed to evaluate and compare the diagnostic performance of the SVEAT score for risk stratification in patients presenting to the ED with chest pain. METHODS: This prospective, multicenter, observational study was conducted between June 1 and November 31, 2024. Adult patients presenting with chest pain were included. Exclusion criteria included trauma, pregnancy, STEMI diagnosis at presentation, unavailable follow-up, or missing data. Demographic characteristics, vital parameters, comorbidities, medications, and clinical outcomes were recorded. SVEAT and HEART scores were calculated at 0, 1, and 2 h based on original definitions. The primary outcome was the occurrence of MACE within 30 days. RESULTS: A total of 704 patients were included (median age 46 years (IQR 33–61), 44.6% female). MACE occurred in 157 patients (22.3%). The area under the receiver operating characteristic curve (AUC) values for the SVEAT score at 0, 1, and 2 h were 0.954, 0.954, and 0.955, respectively, and for the HEART score were 0.935, 0.937, and 0.938, respectively. For the optimal cut-off value (SVEAT > 1), the sensitivity and specificity for MACE prediction were consistently 89% and 91% across all time points. For HEART > 2, the sensitivity was 89%, 91%, and 92%, with a constant specificity of 83%. CONCLUSION: The SVEAT score demonstrated excellent predictive accuracy for MACE at all time points and effectively discriminated between high- and low-risk patients with chest pain. The newly identified cut-off values enhance the safe identification of low-risk patients, potentially supporting earlier discharge decisions and optimizing ED resource utilization. CLINICAL TRIAL NUMBER: Not applicable.
Source: BMC Emergency Medicine
Authors: Zeynep Kan, Buğra İlhan, Mert Kan, Fatma Bayram, Oğuz Eroğlu, Turgut Deniz
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,790
OpenAlex ID: W4416907999
