摘要
目的探索麻醉复苏期患者低氧血症的危险因素,构建低氧血症风险预测模型。方法采用回顾性研究方法,选取2022年2-10月2810例麻醉复苏期的患者为建模组,通过电子病历系统收集相关资料,采用单因素分析与logistic回归分析危险因素,绘制列线图模型;选取2022年11-12月705例麻醉复苏期患者作为验证组进行模型验证。结果建模组中365例(12.99%)发生麻醉复苏期低氧血症。logistic回归分析结果显示,手术方式、手术部位、手术类型、手术级别、手术时长、吸烟、糖尿病为麻醉复苏期患者低氧血症的危险因素(均P<0.05)。验证组ROC曲线下面积为0.824(95%CI:0.752,0.915),约登指数为0.536,灵敏度为0.819,特异度为0.717。模型验证准确率为85.95%。结论麻醉复苏期低氧血症列线图风险预测模型具有较好的预测效果,可为麻醉复苏室医护人员早期识别麻醉复苏期低氧血症高危人群提供参考。
Objective To explore the risk factors of hypoxemia in patients during anesthesia recovery and construct a risk prediction model of hypoxemia.Methods A retrospective study was adopted,and 2810 patients in the anesthesia recovery period were selected as the modeling groupfrom February to October 2022.The relevant data were collected through the electronic medical record system,and the risk factors were analyzed using univariate analysis and logistic regression analysis.The nomogram model was drawn;selected 705 patients in the anesthesia recovery period as the validation group for model validationfrom November to December 2022.Results In the modeling group,365 cases(12.99%)developed hypoxemia during the anesthesia recovery period.The results of logistic regression analysis showed that the surgical method,surgical site,surgical type,surgical level,surgical duration,smoking,and diabetes were risk factors for hypoxemia in patients during the anesthesia recovery period(all P<0.05).The area under the ROC curve of the validation group was 0.824(95%CI:0.752,0.915),the Youden′s Index was 0.536,the sensitivity was 0.819,and the specificity was 0.717.The accuracy of model validation was 85.95%.Conclusion The nomogram risk prediction model for hypoxemia during anesthesia recovery has good predictive effect,which can provide a reference for medical staff in the anesthesia recovery room to identify high-risk groups of hypoxemia during anesthesia recovery early.
作者
盛丽乐
兰星
陈庆红
钟圆红
谢婉丽
王宇
付达安
陈向东
赵征华
Sheng Lile;Lan Xing;Chen Qinghong;Zhong Yuanhong;Xie Wanli;Wang Yu;Fu Da′an;Chen Xiangdong;Zhao Zhenghua(Department of Anesthesiology,Union Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430022,China)
出处
《护理学杂志》
北大核心
2025年第4期46-50,共5页
Journal of Nursing Science
基金
国家自然科学基金青年项目(82303765)。
关键词
麻醉复苏室
麻醉复苏期
低氧血症
危险因素
预测模型
列线图
灵敏度
特异度
post anesthesia care unit
anesthesia recovery period
hypoxemia
risk factors
prediction model
nomogram
sensitivity
specificity
