Anesthesia consciousness monitoring is an important issue in basic neuroscience and clinical applications, which has received extensive attention. In this study, in order to find the indicators for monitoring the state of clinical anesthesia, a total of 14 patients undergoing general anesthesia were collected for 5 minutes resting electroencephalogram data under three states of consciousness (awake, moderate and deep anesthesia). Sparse partial least squares (SPLS) and traditional synchronized likelihood (SL) are used to calculate brain functional connectivity, and the three conscious states before and after anesthesia were distinguished by the connection features. The results show that through the whole brain network analysis, SPLS and traditional SL method have the same trend of network parameters in different states of consciousness, and the results obtained by SPLS method are statistically significant (P<0.05). The connection features obtained by the SPLS method are classified by the support vector machine, and the classification accuracy is 87.93%, which is 7.69% higher than that of the connection feature classification obtained by SL method. The results of this study show that the functional connectivity based on the SPLS method has better performance in distinguishing three kinds of consciousness states, and may provides a new idea for clinical anesthesia monitoring.
Liver transplantation is a most curative treatment for end-stage liver diseases. However, postoperative infection, especially the multi-drug resistant organisms infection, could contribute to the mortality after liver transplantation. Therefore, how to identify and prevent multi-drug resistant bacterial infection is the key to achieve improved postoperative outcomes after liver transplantation. The team of West China Hospital of Sichuan University, in collaboration with multiple Chinese medical centers, draw on the mature experiences of advanced countries in the field of transplantation jointly formulated the “Multicenter expert consensus on prevention and treatment of infections caused by multi-drug resistant organisms after liver transplantation”. The consensus had been developed around aspects such as epidemiological characteristics, antimicrobial uses, and prevention measurements of multi-drug resistant bacterial infection after liver transplantation.