ABSTRACT
Objective:To investigate the value of α-synuclein (α-syn) concentration in cerebrospinal fluid (CSF) in predicting postoperative delirium (POD).Methods:One thousand patients underwent elective surgery with combined epidural-spinal anesthesia in our hospital from January 2018 to September 2020 were selected.The epidural puncture was performed at L 3, 4 interspace, and 2 ml of CSF was collected after the needle reaching the subarachnoid space.The concentrations of α-syn, β-amyloid (Aβ)40, Aβ42, total tau protein (T-tau), and phosphorylated tau protein (P-tau) in CSF were determined by enzyme-linked immunosorbent assay.The concentrations of α-syn in CSF and occurrence of POD in patients of different ages were recorded.Patients were divided into POD group and non-POD group according to whether POD occurred, and frequency matching (1∶1) was performed based on five matching variables of age, ASA physical status, education level, duration of operation, and intraoperative blood loss. Results:Eight hundred and forty-one patients were finally included in the study, and the incidence of POD was 15.0%. There were 126 cases in POD group and 126 cases in non-POD group after matching. The concentrations of α-syn in CSF and incidence of POD were gradually increased with age ( P<0.05). Compared with non-POD group, the concentrations of α-syn, T-tau and P-tau in CSF were significantly increased, the concentrations of Aβ40 and Aβ42 were decreased, Aβ40/P-tau, Aβ42/P-tau, Aβ42/Aβ40 and P-tau/T-tau were decreased in POD group ( P<0.05). After confounding factors were corrected by logistic regression analysis, increased concentrations of α-syn, p-tau, and T-tau in CSF were risk factors for POD ( P<0.05). Increased concentrations of Aβ40 and Aβ42 in CSF and increased Aβ40/P-tau and Aβ42/P-tau were protective factors for POD ( P<0.05). Multiple linear regression analysis showed that the concentration of α-syn in CSF was negatively correlated with Aβ40 and Aβ42 concentrations and positively correlated with P-tau and T-tau concentrations ( P<0.05). The area under the receiver operating characteristic curve of concentrations of α-syn in CSF predicting POD was 0.895, Youden index was 0.664, sensitivity was 80.00%, and specificity was 86.36% ( P<0.001). Conclusion:The concentration of α-syn in CSF is related to the occurrence of POD, and it provides higher accuracy in predicting POD.
ABSTRACT
Objective:To establish the risk prediction models for postoperative delirium (POD) in elderly patients undergoing non-cardiac surgery and to evaluate the predictive efficacy.Methods:A total of 685 patients of both sexes, aged 65-90 yr, of American Society of Anesthesiologists (ASA) physical status Ⅰ-Ⅳ, who underwent non-cardiac elective surgery requiring tracheal intubation during general anesthesia in general surgery, orthopedics, urology, hepatobiliary and pancreatic surgery in our hospital from January 2020 to December 2020, were selected.Patients were assigned to the training set and validation set at a ratio of 7∶3 using a simple random sampling method.The clinical data of patients in the perioperative period were collected, and the patients were followed up within 1-7 days after operation (or before discharge), and the occurrence of POD was recorded.Univariate and multivariate logistic regression analysis was used to identify the independent risk factors for POD.The risk prediction model for POD was established based on the results of multivariate logistic regression analysis of the training set, a nomogram and receiver operating characteristic (ROC) curve were drawn, and the area under the curve (AUC) was calculated.The validation set was used to verify the prediction model and assess the efficacy of the risk prediction model for POD.Results:A total of 653 patients were enrolled in this study, 139 patients developed POD, and the incidence was 21.3%.The results of multivariate logistic regression analysis showed that advanced age, high ASA physical status classification, low preoperative Mini-Mental State Examination score, complication with diabetes mellitus, low years of education, high preoperative Pittsburgh Sleep Quality Index scale score, long anesthesia time and high numerical rating scale score after operation were independent risk factors for POD in elderly patients undergoing non-cardiac surgery.The risk prediction model for POD was established based on the independent risk factors mentioned above.The AUC of the training set was 0.981, the Youden index was 0.881, the sensitivity was 95.95%, and the specificity was 92.92%; the AUC of the validation set was 0.939, the Youden index was 0.795, the sensitivity was 94.44%, and the specificity was 85.09%.Conclusion:The risk prediction model for POD established based on age, ASA physical status classification, history of diabetes melittus, years of education, preoperative Mini-Mental State Examination score, preoperative Pittsburgh sleep quality index scale score, anesthesia time and postoperative numerical rating scale score has good predictive efficacy in elderly patients undergoing non-cardiac surgery.