Predictive Risk Factors for Intraoperative Hypothermia During Endoscopic Retrograde Cholangiopancreatography Under General Anesthesia
10.3969/j.issn.1008-7125.2022.11.001
- Author:
Xiaoyuan GONG
1
;
Lungen LU
1
;
Shengzheng LUO
1
;
Chenghong FU
1
;
Baiwen LI
1
;
Shuqi WAN
1
;
Xu WANG
2
Author Information
1. Department of Gastroenterology, Shanghai General Hospital, Shanghai Jiao Tong University, School of Medicine
2. Department of Gastroenterology, People’s Hospital of Zunyi City Bozhou District
- Publication Type:Journal Article
- Keywords:
Anesthesia;
Cholangiopancreatography;
Endoscopic Retrograde;
General;
Intraoperative Hypothermia;
Predictive Models;
Risk Factors
- From:
Chinese Journal of Gastroenterology
2022;27(11):641-645
- CountryChina
- Language:Chinese
-
Abstract:
Background: Unintended intraoperative hypothermia is a common complication of general anesthesia surgery, which can cause pain, coagulation dysfunction, wound infection, delayed recovery, and other adverse consequences. There are few studies related to intraoperative hypothermia during endoscopic retrograde cholangiopancreatography (ERCP). Aims: To analyze the risk factors of intraoperative hypothermia during ERCP under general anesthesia and establish a predictive model. Methods: A total of 121 patients underwent ERCP under general anesthesia from September 2021 to November 2021 at Shanghai General Hospital were recruited, and relevant clinical data were collected. Logistic regression analysis was used to screen risk factors, and a predictive model was constructed. The model was externally validated by independent datasets with ROC curve and Hosmer⁃Lemeshow goodness of fit test. Results: A total of 114 patients were enrolled in modeling group. The incidence of intraoperative hypothermia was 11.40% (13/114). There were more women in the hypothermia group (P<0.05). The temperature of entering the operating room and operating room temperature were relatively lower in the hypothermia group (P<0.05). Gender was an independent risk factor for intraoperative hypothermia in ERCP under general anesthesia (P<0.05). The predictive model constructed by using gender and temperature of entering the operating room screened by Logistic regression analysis had a good discrimination and calibration, area under the ROC curve by external validation was 0.78. Conclusions: Gender and temperature of entering the operating room can effectively predict the occurrence of intraoperative hypothermia and assist perioperative monitoring and management.
