View clinical trials related to Hypothermia; Anesthesia.
Filter by:The incidence of postoperative hypothermia in patients with laparoscopic gastrointestinal tumors is high. Hypothermia increases the risk of postoperative complications and medical costs. Early warning can effectively reduce the incidence of postoperative hypothermia in patients. Multivariate prediction models help identify high-risk patients and reversible factors. At present, there are few reports on the risk factors and prediction models of postoperative hypothermia in patients with laparoscopic gastrointestinal tumors. Therefore, this study aims to clarify the risk factors of postoperative hypothermia in patients with laparoscopic gastrointestinal tumors. Four machine learning algorithms, traditional Logistic regression analysis, decision tree, random forest and naive Bayes, were used to establish risk prediction models. According to the TRIPOD statement, C-index, Hosmer-Lemeshow ( H-L ) test and decision curve analysis ( DCA ) were used to evaluate the prediction and fitting effects of the models in all aspects, and the optimal model was selected and verified. Provide reference for subsequent research.
To evaluate the effectiveness and safety of hypothermia risk prediction combined with active warming management to reduce intraoperative hypothermia in elderly patients undergoing elective general anesthesia, improve the quality of anesthesia management, and enhance patients' awareness of the work of anesthesiologists.
Intraoperative Hypothermia is a common problem, our object will be to evaluate the efficacy of forced air warmer (Model # eq-5000) for maintaining core body temperature in patients undergoing laparoscopic surgeries and its effect on postoperative nausea, vomiting and shivering.
This is a randomized, single-blinded, multi-center study clinical trial to determine both clinical and health outcomes of stratified warm strategy to prevent intraoperative hypothermia. Participants enrolled into this trial will be from elective major surgery population in PUMC Hospital, Beijing Hospital and Xuanwu Hospital. investigators plan to enroll approximately 800 participants. Hypothermia risk will be evaluated through PREDICTOR model in all participants. According to hypothermia risk level, these participants will be stratefied into high, moderate and low risk group. Participants in each group will be randomly categorize into warm group and control group. Active warm and fluid warm strategy, prewarm and fluid warm strategy and only prewarm strategy are used for high risk, moderate risk and low risk patients seperately. For controll group traditional passive warm was used.