Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray

利用主动脉夹层检测风险评分、D-二聚体和X射线预测急性主动脉综合征

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Abstract

OBJECTIVE: Acute aortic syndrome (AAS) is a fatal disease with high mortality. There were previous studies using aortic dissection detection risk score (ADD-RS) and D-dimer (DD) to screen AAS. There were screening failures in previous studies, suggesting the need for a more accurate tool. This study investigated the effect of combining ADD-RS and age adjusted D-dimer (DDage-adj) with abnormal findings on chest radiographs on the diagnosis of AAS in patients admitted to emergency department (ED). METHODS: This single-center retrospective case-control study included 93 patients with AAS and 465 with chest pain (CP), diagnosis other than AAS. We attempted to compare the initial clinical presentation and laboratory examination findings. RESULTS: Age-adjusted DD (DDage-adj), defined as age x 0.01 mg/L in patients ≥50 years, showed sensitivity of 92.5% and specificity of 76.3% for patients with AAS (p < 0.001). Positive chest radiography findings were significant with AAS group; sensitivity was 89.2% with a specificity of 80.9% (p < 0.001). Multivariate logistic regression analysis was used; widened mediastinum, widening of aortic contour and aortic kinking indicates the probability of AAS in patients with CP (p < 0.05).ADD-RS was used to evaluate the risk of AAS. For low risk group, ADD-RS ≤1, combined use of chest radiography and DDage-adj showed meaningful result. Sensitivity and specificity were 100% and 67.1% with failure rate of 0% (p < 0.001). Multivariate logistic regression analysis were made; widening of the mediastinum (p = 0.035), widening of the aortic contour (p < 0.001) and aortic kinking (p < 0.001) showed significant p-value. Combining DDage-adj and these three chest radiography findings in ADD-RS≤1 patients resulted 0% failure rate with 67.8% specificity (p < 0.001). CONCLUSIONS: The combination of ADD-RS, DDage-adj and chest radiography could lower the failure rate of AAS exclusion strategy. This combination strategy satisfies low failure rate (<3%) and yields relatively high specificity of 67.8%.

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