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作 者:庞家东 黄建文 黄昌全 PANG Jiadong;HUANG Jianwen;HUANG Changquan(Department of Anesthesiology,Fangchenggang First People’s Hospital,Guangxi Zhuang Autonomous Region,Fangchenggang 538021,China)
机构地区:[1]广西壮族自治区防城港市第一人民医院麻醉科,广西防城港538021
出 处:《妇儿健康导刊》2025年第6期188-194,共7页JOURNAL OF WOMEN AND CHILDREN'S HEALTH GUIDE
摘 要:目的 分析全麻患儿苏醒期躁动(EA)的潜在风险,并建立列线图预测模型。方法 收集2019年1月至2024年5月防城港市第一人民医院收治的383例全麻术后患儿的临床资料。采用多因素logistic回归分析影响全麻患儿EA的相关因素,并构建预测模型。结果 全麻患儿EA的发生率为17.75%。多因素logistic回归分析显示,年龄、手术科室、麻醉方式、术后镇痛治疗及留置尿管是全麻患儿EA的影响因素(P<0.05)。列线图模型在训练集中的曲线下面积为0.813,在验证集中的曲线下面积为0.831;校准曲线显示,训练集和验证集的预测概率与实际概率接近;决策曲线显示,训练集和验证集的阈概率分别为0.10~0.88、0.10~0.80。结论 年龄、手术科室、麻醉方式、术后镇痛治疗及留置尿管是全麻患儿EA的影响因素,建立的列线图模型可作为全麻患儿EA的预测工具。Objective To analyze the potential risk of emergence agitation(EA) in children undergoing general anesthesia,and to establish a nomogram prediction model.Methods The clinical data of 383 children admitted to Fangchenggang First People's Hospital from January 2019 to May 2024 were collected.Multivariate logistic regression was used to analyze the related factors affecting EA in children postoperative of general anesthesia,and a prediction model was constructed.Results The incidence of EA in children with general anesthesia was 17.75%.Multiple logistic regression analysis showed that age,surgical department,anesthesia method,postoperative analgesia and indwelling catheter were the influencing factors of EA in children with general anesthesia(P < 0.05).The area under the curve of the nomogram model was 0.813 in the training set and 0.831 in the validation set.The calibration curves showed that the predicted probabilities for the training and validation sets were closed to the actual probabilities.The decision curve showed that the threshold probability of the training set and the validation set were 0.10-0.88 and 0.10-0.80,respectively.Conclusion Age,surgical department,anesthesia method,postoperative analgesia and indwelling catheter are the influencing factors of EA in children after general anesthesia.The established nomogram model can be used as a predictive tool for EA in children after general anesthesia.
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