中国实用神经疾病杂志2025，Vol.28Issue(7)：833-837,5.DOI:10.12083/SYSJ.240386
颅脑损伤去骨瓣减压术后硬膜下积液风险列线图模型构建及验证
Construction and verification of risk profile model of subdural effusion after craniocerebral injury with decompressive craniectomy
摘要
Abstract
Objective To establish and validate the risk profile model of subdural effusion after decompressive craniectomy(DC).Methods From August 2021 to August 2023,120 patients with craniocerebral injury treated by DC in the Shandong Provincial Third Hospital were selected as the research objects,of which 93 patients were randomly selected as modeling group and 27 patients as validation group.Patients in the modeling group were followed up for 3 months,and were divided into subdural effusion group(18 cases)and non-occurrence group(75 cases)according to whether subdural effusion occurred after surgery.The influencing factors were analyzed by Logistic regression,the risk Nomogram model was constructed,and the prediction effect of the model was verified by the validation group.Results After 3 months of follow-up,subdural effusion occurred in 18 patients,with an incidence of 19.35%.Preoperative Glasgow coma score(GCS)score,preoperative ventricular hemorrhage,preoperative subarachnoid hemorrhage,perioperative intracranial infection and midline displacement were significantly different between the occurrence group and the non-occurrence group(P<0.05).Logistic regression analysis showed that preoperative GCS score,preoperative ventricular hemorrhage,preoperative subarachnoid hemorrhage,perioperative intracranial infection and midline displacement were the influencing factors for subblunt effusion after DC in craniocerebral injury patients(P<0.05).Based on the above factors,the risk Nomogram model was constructed.The receiver operating characteristics(ROC)curve analysis results showed that the risk Nomogram model constructed predicted that the area under the curve(AUC)of subdural effusion after DC was 0.824,the specificity was 82.15%,and the sensitivity was 80.73%.The Hosmer-Lemeshow test show that χ 2=4.021,P=0.868,and the optional threshold probability of decision curve analysis(DCA)in the verification group ranged from 17%to 89%.Conclusion The risk Nomogram model established is of certain clinical application value in evaluating the risk of subdural effusion after DC.关键词
颅脑损伤/去骨瓣减压术/硬膜下积液/风险列线图模型/预测效果Key words
Craniocerebral injury/Decompressive craniectomy/Subdural effusion/Risk Nomogram model/Predictive effect分类
医药卫生引用本文复制引用
张建新,殷长江,刘盼盼,邵晓涵,杨学会,刘生敏..颅脑损伤去骨瓣减压术后硬膜下积液风险列线图模型构建及验证[J].中国实用神经疾病杂志,2025,28(7):833-837,5.基金项目
山东省基层卫生协会科技创新项目(编号:JCK20006) （编号:JCK20006）
