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作 者:周宁宁 何敏芝 许文伟 陈苑 ZHOU Ning-ning;HE Min-zhi;XU Wen-wei;CHEN Yuan(Affiliated Hangzhou First People’s Hospital,Zhejiang University School of Medicine)
出 处:《医院管理论坛》2021年第4期20-24,28,共6页Hospital Management Forum
基 金:浙江省医药卫生科技计划项目,编号:2019KY127;浙江中医药大学教学改革项目,编号:YB18052;杭州市卫生科技计划项目,编号:A20200105。
摘 要:目的通过对成人全身麻醉手术患者术中意外低体温的影响因素分析,创建预警评分系统并进行验证。方法基于循证医学收集术中意外低体温影响因素,制定影响因素条目表,进而收集和分析本院2019年1月至10月行全身麻醉的377例手术患者临床资料。按手术患者是否发生术中意外低体温,分为低体温组和非低体温组。根据低体温组和非低体温的组间单因素分析和多元Logistic回归分析结果建立预警评分系统,并进行验证。结果经验证该预警评分系统的受试者工作特征曲线下面积为0.837[95%CI(0.788-0.886)],具有较好的判别能力。结论创建的成人术中意外低体温预警评分系统,能较好地筛查出发生术中意外低体温的高危患者,指导医护人员早期实施预防性干预。Objective To establish an early warning scoring system and verify it by analyzing the influencing factors of accidental hypothermia in adult patients undergoing general anesthesia surgery. Methods Based on evidence-based medicine, the influencing factors of accidental hypothermia during the operation were collected, and the influencing factor sheet was developed. The clinical data of 377 surgical patients who underwent general anesthesia in our hospital from January to October 2019 were collected and analyzed. According to whether the surgical patients had accidental hypothermia during the operation, they were divided into hypothermia group and non-hypothermia group. According to the results of single factor analysis and multiple logistic regression analysis between the hypothermia group and the non-hypothermia group, an early warning scoring system was established and verified. Results The area under the receiver operating characteristic curve of the early warning scoring system was verified to be 0.837 [95% CI(0.788-0.886)], which had a good discrimination ability. Conclusion The established early warning scoring system for adults with accidental hypothermia during operation can better screen high-risk patients with accidental hypothermia during operation, and guide medical staff to implement preventive intervention in the early stage.
分 类 号:R197.3[医药卫生—卫生事业管理]
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