| Objective:To establish a multivariable prediction function of hematoma clearance rate,and predict the surgical effect before operation,so as to support the decision of minimally invasive treatment scheme.The research results are of great significance to the individualized accurate treatment of patients with cerebral hemorrhageMethods:Retrospective analysis was conducted on more than 500 cases of patients with cerebral hemorrhage undergoing minimally invasive puncture admitted to the Fourth Affiliated Hospital of China Medical University from 2014 to 2020.Pearson’s linear correlation coefficient was used to analyze the correlation between various parameters(age,sex,CT value of hematoma,number of needles,operation timing,body temperature,site of hematoma,area of hematoma,height of hematoma,volume of hematoma,volume of hematoma clearance)and their correlation with hematoma clearance rate.The p value of hypothesis test was used to determine the significance of correlation between various factors and hematoma clearance rate.Multiple linear regression analysis was used to obtain the approximate functional relationship between test indexes and multiple test factors,and then a series of regression equations were fitted by stepwise regression method.Finally,k-fold cross validation,Pearson correlation coefficient analysis and ROC curve were used to evaluate the established functionResult:There was a certain correlation between the factors and hematoma clearance rate,multivariate prediction function formula of hematoma clearance efficiency in minimally invasive puncture for intracerebral hemorrhage:The ROC curve was drawn and the AUC was 0.614,which verified the reliability of the predictive value of hematoma clearance rate calculated by the formulaConclusion:The multivariate predictive function for hematoma clearance efficiency of minimally invasive surgeries for intracerebral hemorrhage is reliable... |
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