View clinical trials related to Postoperative Death.
Filter by:The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after elective surgery. We identify all patients treated with elective surgery, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after emergency surgery. The investigators identify all patients treated with emergency surgery, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after prolonged surgery. The investigators identify all patients undergoing prolonged surgery which the operation time >3 h, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after cardiac and vascular surgery. The investigators identify all patients treated with cardiovascular surgery, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data. 60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.
This prospective cohort study aims to determine whether the addition of the 6MWT to the RCRI score improves the risk prediction of postoperative cardiovascular outcomes after noncardiac surgery. In addition, this study will assess whether the patients' reported MET score corresponds to the determined MET score from the 6MWT distance completed.