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

Area of Science:

• Neurology
• Cardiovascular Surgery
• Medical Imaging

Background:

• Type A aortic dissection poses significant risks for postoperative cerebral complications.
• Accurate prognosis of perioperative brain function is crucial for patient management.
• Quantitative electroencephalography (qEEG) offers a potential tool for monitoring brain function.

Purpose of the Study:

• To evaluate the predictive value of qEEG for perioperative brain function prognosis in patients undergoing Type A aortic dissection repair.
• To assess the association of specific qEEG parameters with neurological dysfunction, adverse outcomes, transient neurological dysfunction, and stroke.

Main Methods:

• Amplitude-integrated electroencephalography (aEEG) was utilized, processing raw signals through filtering, integration, and time compression.
• Postoperative relative band power (post-RBP) α% and dynamic aEEG (ΔaEEG) grade were analyzed.
• Statistical analyses included univariate and multivariable assessments, with receiver operating characteristic (ROC) curve analysis to determine predictive accuracy.

Main Results:

• Post-RBP α% and ΔaEEG grade were significantly associated with neurological dysfunction (AUC 0.876) and adverse outcomes (AUC 0.903).
• These parameters also predicted transient neurological dysfunction (AUCs 0.818-0.868) and stroke (AUCs 0.815-0.831).
• The Alberta Stroke Program Early Computed Tomography score showed superiority over ΔaEEG in predicting neurological outcomes in a subset of patients (AUC 0.872 vs. 0.708).

Conclusions:

• Perioperative qEEG monitoring provides valuable insights into brain function changes in Type A aortic dissection.
• ΔaEEG grades aid in early detection of adverse outcomes and prediction of transient neurological dysfunction.
• qEEG can assist cardiac surgeons in assessing brain function and potentially improving patient outcomes.