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Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550511/ https://www.ncbi.nlm.nih.gov/pubmed/37800065 http://dx.doi.org/10.1016/j.heliyon.2023.e20578 |
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author | Song, Dae Ho Choi, Jin Ho Lee, Jang Young |
author_facet | Song, Dae Ho Choi, Jin Ho Lee, Jang Young |
author_sort | Song, Dae Ho |
collection | PubMed |
description | 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%. |
format | Online Article Text |
id | pubmed-10550511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105505112023-10-05 Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray Song, Dae Ho Choi, Jin Ho Lee, Jang Young Heliyon Research Article 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%. Elsevier 2023-09-30 /pmc/articles/PMC10550511/ /pubmed/37800065 http://dx.doi.org/10.1016/j.heliyon.2023.e20578 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Song, Dae Ho Choi, Jin Ho Lee, Jang Young Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray |
title | Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray |
title_full | Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray |
title_fullStr | Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray |
title_full_unstemmed | Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray |
title_short | Predicting acute aortic syndrome using aortic dissection detection risk score, D-dimer, and X-ray |
title_sort | predicting acute aortic syndrome using aortic dissection detection risk score, d-dimer, and x-ray |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550511/ https://www.ncbi.nlm.nih.gov/pubmed/37800065 http://dx.doi.org/10.1016/j.heliyon.2023.e20578 |
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