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Biomarkers for prediction of neurological complications after acute Stanford type A aortic dissection: A systematic review and meta-analysis
BACKGROUND: The predictive value of biomarkers such as neuron specific enolase (NSE), S100B, neurofilament (NFL), interleukin-6 (IL-6), coagulation factor R, and D-Dimer (DD) after acute Stanford A type aortic dissection (AAAD) with neurological complications has recently gained much attention from...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907800/ https://www.ncbi.nlm.nih.gov/pubmed/36753509 http://dx.doi.org/10.1371/journal.pone.0281352 |
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author | Si, Yi Duan, Weixun Xie, Jiangang Duan, Chujun Liu, Shanshou Wang, Qianmei Zhao, Xiaojun Wu, Dan Wang, Yifan Wang, Lingxiao Li, Junjie |
author_facet | Si, Yi Duan, Weixun Xie, Jiangang Duan, Chujun Liu, Shanshou Wang, Qianmei Zhao, Xiaojun Wu, Dan Wang, Yifan Wang, Lingxiao Li, Junjie |
author_sort | Si, Yi |
collection | PubMed |
description | BACKGROUND: The predictive value of biomarkers such as neuron specific enolase (NSE), S100B, neurofilament (NFL), interleukin-6 (IL-6), coagulation factor R, and D-Dimer (DD) after acute Stanford A type aortic dissection (AAAD) with neurological complications has recently gained much attention from the research community. However, results from these studies are conflicting. This meta-analysis is conducted to assess the relationship between the biomarkers and the risk of neurological complications after AAAD. METHODS: Two reviewers performed a systematic literature search across eight databases (CNKI, Wan Fang, VIP, CBM, PubMed, Web of Science, Cochrane Library, and EMBASE). The studies regarding biomarkers in AAAD patients published up to February 2022 were included. These studies were subjected to rigorous scrutiny and data extraction to determine the weighted mean difference (WMD) and the 95% confidence interval (CI), which were analyzed using the RevMan 5.4 and Stata software 14.0. RESULTS: A total of 12 studies including 360 cases with neurological complications and 766 controls were incorporated into our meta-analysis. WMD analysis showed that there was a higher NSE levels in AAAD patients with postoperative neurological complications compared with controls (WMD = 0.640, 95% CI: 0.205 ~ 1.075, P = 0.004 < 0.005), and the level of S100B was related to the 6 h and 24 h postoperative neurological complications (6 h: WMD = 0.64, 95% CI: 0.27 ~ 1.02, P = 0.0007 < 0.001; 24 h: WMD = 0.281, 95% CI: 0.211 ~ 0.351, P < 0.001). Moreover, S100B levels at 6 hours after operation were significantly higher than that at 24 hours (WMD = 0.260, 95% CI: 0.166 ~ 0.354, P < 0.001). CONCLUSION: NSE and S100B are both candidate biomarkers to predict postoperative neurological complications in patients with AAAD. Other markers are also valuable when used in conjunction with clinical judgement. The findings accentuate the necessity of further research to establish standardized values for these biomarkers in predicting neurological complications. |
format | Online Article Text |
id | pubmed-9907800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99078002023-02-08 Biomarkers for prediction of neurological complications after acute Stanford type A aortic dissection: A systematic review and meta-analysis Si, Yi Duan, Weixun Xie, Jiangang Duan, Chujun Liu, Shanshou Wang, Qianmei Zhao, Xiaojun Wu, Dan Wang, Yifan Wang, Lingxiao Li, Junjie PLoS One Research Article BACKGROUND: The predictive value of biomarkers such as neuron specific enolase (NSE), S100B, neurofilament (NFL), interleukin-6 (IL-6), coagulation factor R, and D-Dimer (DD) after acute Stanford A type aortic dissection (AAAD) with neurological complications has recently gained much attention from the research community. However, results from these studies are conflicting. This meta-analysis is conducted to assess the relationship between the biomarkers and the risk of neurological complications after AAAD. METHODS: Two reviewers performed a systematic literature search across eight databases (CNKI, Wan Fang, VIP, CBM, PubMed, Web of Science, Cochrane Library, and EMBASE). The studies regarding biomarkers in AAAD patients published up to February 2022 were included. These studies were subjected to rigorous scrutiny and data extraction to determine the weighted mean difference (WMD) and the 95% confidence interval (CI), which were analyzed using the RevMan 5.4 and Stata software 14.0. RESULTS: A total of 12 studies including 360 cases with neurological complications and 766 controls were incorporated into our meta-analysis. WMD analysis showed that there was a higher NSE levels in AAAD patients with postoperative neurological complications compared with controls (WMD = 0.640, 95% CI: 0.205 ~ 1.075, P = 0.004 < 0.005), and the level of S100B was related to the 6 h and 24 h postoperative neurological complications (6 h: WMD = 0.64, 95% CI: 0.27 ~ 1.02, P = 0.0007 < 0.001; 24 h: WMD = 0.281, 95% CI: 0.211 ~ 0.351, P < 0.001). Moreover, S100B levels at 6 hours after operation were significantly higher than that at 24 hours (WMD = 0.260, 95% CI: 0.166 ~ 0.354, P < 0.001). CONCLUSION: NSE and S100B are both candidate biomarkers to predict postoperative neurological complications in patients with AAAD. Other markers are also valuable when used in conjunction with clinical judgement. The findings accentuate the necessity of further research to establish standardized values for these biomarkers in predicting neurological complications. Public Library of Science 2023-02-08 /pmc/articles/PMC9907800/ /pubmed/36753509 http://dx.doi.org/10.1371/journal.pone.0281352 Text en © 2023 Si et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Si, Yi Duan, Weixun Xie, Jiangang Duan, Chujun Liu, Shanshou Wang, Qianmei Zhao, Xiaojun Wu, Dan Wang, Yifan Wang, Lingxiao Li, Junjie Biomarkers for prediction of neurological complications after acute Stanford type A aortic dissection: A systematic review and meta-analysis |
title | Biomarkers for prediction of neurological complications after acute Stanford type A aortic dissection: A systematic review and meta-analysis |
title_full | Biomarkers for prediction of neurological complications after acute Stanford type A aortic dissection: A systematic review and meta-analysis |
title_fullStr | Biomarkers for prediction of neurological complications after acute Stanford type A aortic dissection: A systematic review and meta-analysis |
title_full_unstemmed | Biomarkers for prediction of neurological complications after acute Stanford type A aortic dissection: A systematic review and meta-analysis |
title_short | Biomarkers for prediction of neurological complications after acute Stanford type A aortic dissection: A systematic review and meta-analysis |
title_sort | biomarkers for prediction of neurological complications after acute stanford type a aortic dissection: a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907800/ https://www.ncbi.nlm.nih.gov/pubmed/36753509 http://dx.doi.org/10.1371/journal.pone.0281352 |
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