Details

Autor(en) / Beteiligte

• Al-Qudah, Abdullah M
• Ta'ani, Omar Al
• Thirumala, Parthasarathy D.
• Sultan, Ibrahim
• Visweswaran, Shyam
• Nadkarni, Neelesh
• Kiselevskaya, Victoria
• Crammond, Donald J.
• Balzer, Jeffrey
• Anetakis, Katherine M.
• Shandal, Varun
• Subramanium, Kathirvel
• Subramanium, Balachundhar
• Sadhasivam, Senthilkumar

Titel

Role of Intraoperative Neuromonitoring to Predict Postoperative Delirium in Cardiovascular Surgery

Ist Teil von

• Journal of cardiothoracic and vascular anesthesia, 2024-02, Vol.38 (2), p.526-533

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2024

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• Postoperative delirium (POD) can occur in up to 50% of older patients undergoing cardiovascular surgery, resulting in hospitalization and significant morbidity and mortality. This study aimed to determine whether intraoperative neurophysiologic monitoring (IONM) modalities can be used to predict delirium in patients undergoing cardiovascular surgery. Adult patients undergoing cardiovascular surgery with IONM between 2019 and 2021 were reviewed retrospectively. Delirium was assessed multiple times using the Intensive Care Delirium Screening Checklist (ICDSC). Patients with an ICDSC score ≥4 were considered to have POD. Significant IONM changes were evaluated based on a visual review of electroencephalography (EEG) and somatosensory evoked potentials data and documentation of significant changes during surgery. University of Pittsburgh Medical Center hospitals. Patients 18 years old and older undergoing cardiovascular surgery with IONM monitoring. Of the 578 patients undergoing cardiovascular surgery with IONM, 126 had POD (21.8%). Significant IONM changes were noted in 134 patients, of whom 49 patients had delirium (36.6%). In contrast, 444 patients had no IONM changes during surgery, of whom 77 (17.3%) patients had POD. Upon multivariate analysis, IONM changes were associated with POD (odds ratio 2.12; 95% CI 1.31-3.44; p < 0.001). Additionally, baseline EEG abnormalities were associated with POD (p = 0.002). Significant IONM changes are associated with an increased risk of POD in patients undergoing cardiovascular surgery. These findings offer a basis for future research and analysis of EEG and somatosensory evoked potential monitoring to predict, detect, and prevent POD.