中国实用神经疾病杂志2025，Vol.28Issue(3)：316-320,5.DOI:10.12083/SYSJ.240848
基于LASSO-Logistic回归建立创伤性脑损伤患者继发认知障碍预测模型
Prediction model of secondary cognitive dysfunction in patients with traumatic brain injury based on LASSO-Logistic regression
摘要
Abstract
Objective To construct and verify the prediction model of secondary cognitive dysfunction in patients with traumatic brain injury based on LASSO-Logistic regression.Methods Ninety-six patients with traumatic brain injury admitted to Hefei First People's Hospital from January 2021 to December 2023 were selected as the study objects,and were divided into the secondary group and the non-secondary group according to whether the patients had secondary cognitive dysfunction.LASSO-Logistic regression was used to screen the influencing factors for secondary cognitive dysfunction in TBI patients,and the risk Nomogram model was constructed based on it.The receiver operating characteristic(ROC)curves were used to verify its efficacy,and the accuracy of the model was tested by Bootstrap method.Results Among 96 patients with traumatic brain injury,27 had secondary cognitive dysfunction(28.13％).There were significant differences in age,diabetes,hypertension,GCS score,surgical treatment,TNF-α and IL-6 between the secondary group and the non-secondary group(P＜0.05).LASSO-Logistic regression analysis showed that age,diabetes,hypertension,GCS score,surgical treatment,TNF-α,and IL-6 could be used as predictors of secondary cognitive impairment in TBI patients.Based on the above factors,the area under the curve of the risk Nomogram model was 0.805,and the specificity and sensitivity were 77.65％and 80.97％,respectively.Hosmer-Lemeshow test results show that x2=3.664,P=0.729.Conclusion The prediction model of secondary cognitive dysfunction in TBI patients based on LASSO-Logistic regression has good diagnostic efficacy,and can provide reference for the monitoring and management of TBI patients.关键词
创伤性脑损伤/LASSO-Logistic回归/认知障碍/预测模型/诊断效能Key words
Traumatic brain injury/LASSO-Logistic regression/Cognitive dysfunction/Prediction model/Diagnostic efficacy分类
医药卫生引用本文复制引用
查智健,耿锋,李光照,杨非..基于LASSO-Logistic回归建立创伤性脑损伤患者继发认知障碍预测模型[J].中国实用神经疾病杂志,2025,28(3):316-320,5.基金项目
安徽医科大学校科研基金项目(编号:2022xkj144) （编号:2022xkj144）
