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DOI 10.1161/jaha.124.034351

Медицинская библиотека · Journal of the American Heart Association · 2024

Quantitative Electroencephalography for Predication of Neurological Dysfunction in Type A Aortic Dissection: A Prospective Observational Study.

Wang Ya-Peng, Cheng Yong-Qing, Wang Hanghang, Wang Huanhuan, Liu Wen-Xue, Jiang Yi, Xue Yun-Xing, Chen Yang, Zhou Qing, Luo Xuan, Zhang Qingxiu, Qu Jason Zhensheng, Wang Dong-Jin

СтатьяНаблюдательное исследованиеПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

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.

Для цитирования: Wang Ya-Peng, Cheng Yong-Qing, Wang Hanghang, Wang Huanhuan, Liu Wen-Xue, Jiang Yi, Xue Yun-Xing, Chen Yang, Zhou Qing, Luo Xuan, Zhang Qingxiu, Qu Jason Zhensheng, Wang Dong-Jin. Quantitative Electroencephalography for Predication of Neurological Dysfunction in Type A Aortic Dissection: A Prospective Observational Study.. Journal of the American Heart Association. 2024. DOI: 10.1161/jaha.124.034351.

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