Risk factors of postoperative intracranial infection in intracranial tumor patients and establishment of risk prediction model
Objective To construct a risk prediction model of intracranial infection in patients with brain tumor after surgery,and to provide a basis for intervention and prevention of intracranial infection after brain surgery.Methods The postoperative patients with brain tumor in a hospital were selected as the research objects.A multivariate logistic regression analysis was used to construct a risk prediction model,and the fit and efficacy of the risk prediction model were evaluated.Results The incidence rate of intracranial infection in postoperative patients with brain tumors was 9.01％,and the main pathogens of infection was Gram-positive bacteria.Multivariate logistic regression analysis showed that surgery duration≥4 h,ventricular drainage duration≥4 d,and admission to the ICU were independent risk factors for intracranial infection after brain tumor surgery.The risk prediction model for intracranial infection in patients after brain tumor surgery fitted well,and the overall accuracy of the model was 92.96％.The area under the ROC curve for predicting performance was 0.844(95％CI 0.759-0.928),with a sensitivity of 0.75 and a specificity of 0.83.Conclusion The infection is relatively high in patients with brain tumors in clinical setting.The risk prediction model for intracranial infection established in this study has the high ability to identify patients with high risk of postoperative intracranial infection with good diagnostic value.
intracranial tumorintracranial infectionrisk factorsprediction model
NETL
NSTL
万方数据
