Quantitative Electroencephalography for Predication of Neurological Dysfunction in Type A Aortic Dissection: A Prospective Observational Study Article Swipe
Y. Wang
,
Yong‐qing Cheng
,
Hanghang Wang
,
Huanhuan Wang
,
Wenxue Liu
,
Yi Jiang
,
Y. Xue
,
Yang Chen
,
Qing Zhou
,
Xuan Luo
,
Qingxiu Zhang
,
Jason Zhensheng Qu
,
Dongjin Wang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1161/jaha.124.034351
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1161/jaha.124.034351
Background Type A aortic dissection presents challenges with postoperative cerebral complications, and this study evaluates the predictive value of quantitative electroencephalography for perioperative brain function prognosis. Methods and Results Amplitude‐integrated electroencephalography (aEEG) processes raw signals through filtering, amplitude integration, and time compression, displaying the data in a semilogarithmic format. Using this method, postoperative relative band power (post‐RBP) α% and dynamic aEEG (ΔaEEG) grade were significantly associated with neurological dysfunction in univariate and multivariable analyses, with area under the receiver operating characteristic curve of 0.876 (95% CI, 0.825–0.926) for the combined model. Postoperative relative band power α% and ΔaEEG were significantly associated with adverse outcomes, with area under the receiver operating characteristic curve of 0.903 (95% CI, 0.835–0.971) for the combined model. Postoperative relative band power α% and ΔaEEG were significantly associated with transient neurological dysfunction and stroke, with areas under the receiver operating characteristic curve of 0.818 (95% CI, 0.760–0.876) and 0.868 (95% CI, 0.810–0.926) for transient neurological dysfunction, and 0.815 (95% CI, 0.743–0.886) and 0.831 (95% CI, 0.746–0.916) for stroke. Among 56 patients, the Alberta Stroke Program Early Computed Tomography score was superior to ΔaEEG in predicting neurological outcomes (area under the receiver operating characteristic curve of 0.872 versus 0.708 [95% CI, 0.633–0.783]; P <0.05). Conclusions Perioperative quantitative electroencephalography monitoring offers valuable insights into brain function changes in patients with type A aortic dissection. ∆aEEG grades can aid in early detection of adverse outcomes, while postoperative relative band power and ∆aEEG grades predict transient neurological dysfunction. Quantitative electroencephalography can assist cardiac surgeons in assessing brain function and improving outcomes in patients with type A aortic dissection. Registration URL: https://www.chictr.org.cn ; Unique identifier: ChiCTR2200055980.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1161/jaha.124.034351
- OA Status
- gold
- Cited By
- 2
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402609459
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402609459Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1161/jaha.124.034351Digital Object Identifier
- Title
-
Quantitative Electroencephalography for Predication of Neurological Dysfunction in Type A Aortic Dissection: A Prospective Observational StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-18Full publication date if available
- Authors
-
Y. Wang, Yong‐qing Cheng, Hanghang Wang, Huanhuan Wang, Wenxue Liu, Yi Jiang, Y. Xue, Yang Chen, Qing Zhou, Xuan Luo, Qingxiu Zhang, Jason Zhensheng Qu, Dongjin WangList of authors in order
- Landing page
-
https://doi.org/10.1161/jaha.124.034351Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1161/jaha.124.034351Direct OA link when available
- Concepts
-
Medicine, Receiver operating characteristic, Electroencephalography, Perioperative, Aortic dissection, Area under the curve, Stroke (engine), Cardiology, Univariate analysis, Observational study, Internal medicine, Anesthesia, Multivariate analysis, Aorta, Mechanical engineering, Psychiatry, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
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48Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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