Correlation between Bispectral Index and Prognosis of Patients with Acute Cerebral Infarction

This study aimed to investigate the clinical value of bispectral index (BIS) monitoring in assessing the consciousness and prognosis of Acute Cerebral Infarction (ACI) patients.

In total, 64 patients who suffered from ACI with consciousness disturbance were enrolled in this study. Glasgow Coma Scale (GCS) was performed to evaluate the consciousness level of ACI patients, and BIS was used to monitor the depth of anesthesia and sedation. Then, patients were divided into good prognosis, poor prognosis and death groups according to Modified Rankin Score (mRS). Discrimination analysis of BIS values and GCS score for the prediction of prognosis was performed using the Receiver Operator Characteristic (ROC) curve.

GCS score and BIS values showed statistically significant differences among the three groups. Spearman rank correlation analysis revealed a significant positive correlation between BIS values and GCS score, while BIS values was negatively related with mRS. The ROC curve of prognosis prediction showed strong prognostic power, with Area Under the Curves (AUCs) between 0.830 and 0.917. Moreover, the AUC of BISmean score was higher than that of BISmax, BISmin and GCS, and BISmean of 74 was the best cut-off point for good prognosis.

BIS directly reflects the degree of consciousness disturbance in ACI patients, and thus accurately predicts the prognosis, indicating potential application values of BIS in clinical practice.