Clinical Interventions in Aging (Sep 2022)
Novel Bedside Dynamic Nomograms to Predict the Probability of Postoperative Cognitive Dysfunction in Elderly Patients Undergoing Noncardiac Surgery: A Retrospective Study
Abstract
Junlin Li,1,2,* Xianhai Xie,1,2,* Jiayong Zhang,3,4,* Po Shen,3,4 Yuan Zhang,3 Chen Chen,2,5 Yanna Si,3 Jianjun Zou2,5 1School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, People’s Republic of China; 2Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China; 3Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China; 4Department of Anesthesiology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, People’s Republic of China; 5Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yanna Si; Jianjun Zou, Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China; Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China, Tel +86 13851639332 ; +86 15380998951, Email [email protected]; [email protected]: Early and accurate prediction of elderly patients at high risk of postoperative cognitive dysfunction (POCD) after non-cardiac surgery will provide favorable evidence for rational perioperative management and long-term postoperative recovery. This study aimed to develop bedside dynamic nomograms to provide accurately an individualized prediction of the risk of POCD at 6-month postoperatively with patients undergoing non-cardiac surgery and to guide clinical decision-making and postoperative management.Patients and Methods: We retrospectively collected patients undergoing surgical treatment at the Nanjing First Hospital between May 2020 and May 2021. We collected the data on preoperative, intraoperative, and postoperative variables. Clinical and laboratory data on admission and intraoperative variables and postoperative variables were used. We measured the performances of the nomograms using sensitivity, specificity of the receiver operating characteristic (ROC), the area under the ROC curves (AUC), the 10-fold cross-validation, and decision curve analysis (DCA).Results: POCD was observed in 23 of 415 patients (5.6%) at 6-month postoperatively. The preoperative and postoperative models obtained 91.6% and 94.0% accuracy rates on the data. Compared to the preoperative model, the postoperative model had an area under the receiver characteristic curve (AUC) of 0.973 vs 0.947, corresponding to a specificity of 0.941 vs 0.918 and a sensitivity of 0.913 vs 0.870. The overall performance of the postoperative model was better than the preoperative model.Conclusion: In this study, we developed novel bedside dynamic nomograms with reasonable clinical utility that can provide individualized prediction of POCD risk at 6-month postoperatively in elderly patients undergoing non-cardiac surgery at different time points based on patient admission and postoperative data. External validations are needed to ensure their value in predicting POCD in elderly patients.Keywords: postoperative cognitive dysfunction, elderly patients, noncardiac surgery, dynamic nomograms, predict, pre- and postoperative models
