Lu Yang1, Chan-Yan Huang2, Zhi-Bin Zhou3, Zhi-Shuang Wen4, Guan-Rong Zhang5, Ke-Xuan Liu6, Wen-Qi Huang7. 1. Department of Anesthesiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China. Electronic address: yanglusysu@163.com. 2. Department of Anesthesiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China. Electronic address: hchanyan@163.com. 3. Department of Anesthesiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China. Electronic address: zhouzhibin1986@aliyun.com. 4. Department of Anesthesiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China. Electronic address: shuangpcb@163.com. 5. Health Management Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China. Electronic address: gavincheung@yeah.net. 6. Department of Anesthesiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China. Electronic address: liukexuan705@163.com. 7. Department of Anesthesiology, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China. Electronic address: huangwenqisysu@163.com.
Abstract
INTRODUCTION: The aim of this study was to estimate the prevalence and risk factors of hypothermia under general anesthesia in a large domestic hospital. METHOD: All of the consecutive 1840 patients who underwent scheduled surgery between August and December 2013 were admitted to the study. The nasopharyngeal temperature was measured, and the following variables were also recorded: sex, age, type of surgery, duration of anesthesia, active warming devices and type of operating room. Univariate and multiple regression binary logistic analyses with odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to assess the relationship between each clinical risk factor and hypothermia. RESULTS: The prevalence of hypothermia under general anesthesia was 25.7%. In the univariate analysis, the risk factors of hypothermia were age, the duration of anesthesia, the type of operating room and the type of surgery. Sex was not included. In the multiple logistic regression analysis, the significant risk factors of hypothermia were advanced age, laminar airflow operating rooms and general surgeries. CONCLUSION: Intraoperative hypothermia is still common and should therefore receive serious attention. Advanced age, the use of a laminar airflow operating room and general surgeries are high risk factors of hypothermia.
INTRODUCTION: The aim of this study was to estimate the prevalence and risk factors of hypothermia under general anesthesia in a large domestic hospital. METHOD: All of the consecutive 1840 patients who underwent scheduled surgery between August and December 2013 were admitted to the study. The nasopharyngeal temperature was measured, and the following variables were also recorded: sex, age, type of surgery, duration of anesthesia, active warming devices and type of operating room. Univariate and multiple regression binary logistic analyses with odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to assess the relationship between each clinical risk factor and hypothermia. RESULTS: The prevalence of hypothermia under general anesthesia was 25.7%. In the univariate analysis, the risk factors of hypothermia were age, the duration of anesthesia, the type of operating room and the type of surgery. Sex was not included. In the multiple logistic regression analysis, the significant risk factors of hypothermia were advanced age, laminar airflow operating rooms and general surgeries. CONCLUSION:Intraoperative hypothermia is still common and should therefore receive serious attention. Advanced age, the use of a laminar airflow operating room and general surgeries are high risk factors of hypothermia.
Authors: Michelle Kümin; Christopher Mark Harper; Mike Reed; Stephen Bremner; Nicky Perry; Matthew Scarborough Journal: Trials Date: 2018-11-19 Impact factor: 2.279