Study On The Relationship Between Prognosis Of Hypertensive Cerebral Hemorrhage Patients And Systemic Inflammation Index

Objective: Hypertensive intracerebral hemorrhage(HICH)is a common acute and severe disease in neurosurgery.As a disease with high morbidity,death and disability rate,although the current clinical means for the treatment of HICH have been greatly improved,the prognosis of patients with HICH and its outcome with high mortality and disability rate cannot be fundamentally improved.Therefore,it is urgent to find more independent risk factors affecting the prognosis of HICH patients,and establish a more perfect and comprehensive comprehensive treatment model and prognosis prediction system,so as to improve the overall prognosis of HICH patients.Methods: Clinical data of 254 patients with hypertensive intracerebral hemorrhage admitted to the Department of Neurosurgery of our hospital from June 2020 to May 2022 were collected and followed up 90 days after onset.The clinical m RS Score was used to score the prognosis of HICH patients.Univariate and multivariate analysis was carried out on the collected clinical data of patients to determine the related factors that may affect prognosis and death,and binary Logistic regression was performed to establish the prediction model of prognosis and death,so as to determine whether the addition of systemic inflammation indicators can improve the prediction effect of the original prediction model.Results: In the group of good prognosis and poor prognosis,the independent risk factors for poor prognosis at 90 days in HICH patients were high white blood cell count,high neutrophil count,low lymphocyte count,high monocyte count,high NLR,high MLR,high PLR,and high SIRI by multivariate regression analysis.When the ROC curve was used for analysis,after the variable "NLR" was included,the prognostic model AUC of the NLR group was higher than that of the control group(P < 0.05).In the survival-death grouping,the independent risk factors for 90-day death outcome in HICH patients were high white blood cell count and high neutrophil count by multivariate regression analysis.No significant increase in AUC was found in the predictive model after the inclusion of inflammatory indicators.In the 90-day survival group,independent risk factors for poor prognosis in 90-day survival HICH patients were high neutrophil count,low lymphocyte count,high NLR,high MLR,high PLR,and high SIRI by multivariate regression analysis.After the variable "NLR" was included,the AUC of the prognostic model in the NLR group was higher than that in the control group(P < 0.05).Conclusions: Systemic inflammatory indicators such as NLR have a certain predictive value for the prognosis of HICH patients,and except for leukocyte and neutrophil counts,the predictive value of most indicators may focus on the prognosis of surviving patients.In summary,NLR may be an indicator of high prognostic value in predicting the prognosis of HICH patients,and when predicting the prognosis of HICH patients,it can be incorporated into regression analysis to form a prediction model,which can significantly improve the prediction effect of the prediction model and thus has certain clinical application value.