首页|神经内镜经鼻颅脑肿瘤术后颅内感染危险因素模型构建及评价

神经内镜经鼻颅脑肿瘤术后颅内感染危险因素模型构建及评价

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目的 分析神经内镜经鼻颅脑肿瘤手术后颅内感染的危险因素,建立风险预测模型并进行效果评价.方法 选取首都医科大学附属北京天坛医院神经外科某病区2022年1-6月行神经内镜经鼻颅脑肿瘤手术患者439例为研究对象,根据是否发生手术后颅内感染分为感染组(38例)和非感染组(401例),收集相关临床资料,采用Logistic回归分析归纳手术后颅内感染的危险因素并构建模型,并采用受试者工作特征(ROC)曲线评价模型.结果 神经外科颅脑肿瘤手术患者颅内感染率为8.66%(38/439);手术时间、术中打开硬脑膜、放置腰大池引流管、术后发生脑脊液鼻漏是神经内镜经鼻颅脑肿瘤术后颅内感染的危险因素(P<0.05);构建列线图模型并进行验证,ROC曲线显示该模型曲线下面积为0.849(95%CI:0.789~0.909),验证效果较好(x2=4.904,P=0.768).结论 构建神经内镜经鼻颅脑肿瘤手术后颅内感染风险预测模型,可识别早期高风险患者,为采取预防措施提供参考.
Construction and evaluation of risk factor prediction model for intracranial infection after neuroendoscopic transnasal intracranial tumor surgery
OBJECTIVE To analyze the risk factors of intracranial infection after neuroendoscopic transnasal in-tracranial tumor surgery,establish a risk prediction model and evaluate the effect.METHODS A total of 439 pa-tients who underwent neuroendoscopic transnasal intracranial tumor surgery in a neurosurgical ward of Beijing Tiantan Hospital from Jan.to Jun.in 2022 were selected as the study subjects,and they were divided into the in-fection group(38 cases)and the non-infection group(401 cases)according to whether or not they suffered from postoperative intracranial infections.Relevant clinical data were collected,logistic regression analysis was used to summarize the risk factors of postoperative intracranial infections and to construct a model,and the receiver oper-ating characteristic(ROC)curve was used to evaluate the model.RESULTS The rate of intracranial infection in patients undergoing neurosurgical transnasal intracranial tumor surgery was 8.66%(38/439).The risk factors of intracranial infection after neuroendoscopic transnasal intracranial tumor surgery included longer operation dura-tion,intraoperative opening of the dura mater,placement of lumbar cistern drainage and postoperative occurrence of cerebrospinal fluid leakage(P<0.05).The nomogram model was constructed and validated,and ROC curve showed that the area under the curve of the model was 0.849(95%CI:0.789-0.909),with a good verification effect(X2=4.904,P=0.768)of the model.CONCLUSION Construction of a predictive model for the risk of in-tracranial infection after neuroendoscopic transnasal intracranial tumor surgery can identify early high-risk patients and provide evidence for preventive measures.

NeurosurgeryEndoscopic surgeryIntracranial infectionRisk factorPrediction modelNomogram

韩玮、于鑫玮、胡爱香、曹磊、张越巍

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首都医科大学附属北京天坛医院感染管理处,北京 100070

首都医科大学附属北京天坛医院神经外科,北京 100070

神经系统 内镜手术 颅内感染 危险因素 预测模型 列线图

国家自然科学基金资助项目北京市自然科学基金面上基金资助项目首都卫生发展科研专项基金资助项目首都医科大学附属北京天坛医院院科研基金资助项目

822031747232015首发2020-4-1077TYGL202309

2024

中华医院感染学杂志
中华预防医学会 中国人民解放军总医院

中华医院感染学杂志

CSTPCD北大核心
影响因子:1.885
ISSN:1005-4529
年,卷(期):2024.34(4)
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