Correlation Between Systemic Immune Inflammatory Index,Systemic Inflammatory Response Index And Short-term Prognosis Of Spontaneous Intracerebral Hemorrhage

Objetive:1、To explore the correlation between systemic immune inflammatory index（SII）,systemic inflammatory response index（SIRI）and 3-month clinical prognosis of patients with spontaneous intracerebral hemorrhage（SICH）;2、To explore the related factors affecting the short-term prognosis of SICH;3、To study the factors affecting SII and SIRI.Methods: A total of 124 patients with SICH treated in the Department of Neurology of the first affiliated Hospital of Dali University from January 2020 to October 2021 were collected retrospectively.General clinical data such as their names,past history of hypertension and diabetes,personal history of smoking and drinking,related laboratory and imaging data were recorded.Three months later,patients and accompanying family members were followed up by telephone and outpatient service.SICH patients were scored by International modified Rankin scale（mRS）.MRS ≤ 2 was divided into good prognosis group（control group）,mRS ≥ 3,vegetative state and death group as poor prognosis group（experimental group）,good prognosis group（n = 61）and poor prognosis group（n = 63）.The relevant indexes collected above were analyzed by univariate analysis,and the significant univariate variables were included in multivariate logistic regression analysis.ROC curve was used to analyze the predictive effect of statistically significant independent variables to explore the independent risk factors for short-term prognosis of SICH.Results:In the univariate analysis of good prognosis and poor prognosis,NIHSS,GCS,ICH score,NLR,SII,SIRI,mRS at admission,mRS,diastolic blood pressure,leukocyte count,neutrophil count,monocyte count,platelet count and hematoma volume in poor prognosis group were significantly higher than those in good prognosis group.The number of ventricular compression in poor prognosis group was also significantly higher than that in good prognosis group.The results of multivariate logistic regression analysis showed that SII,SIRI,GCS score and hematoma volume could independently predict the poor prognosis of SICH3 months.In the ROC curve,the AUC of hematoma volume was 0.671,the AUC of SIRI and GCS was all greater than 0.7,the best truncation value was 1.445,the sensitivity was 0.651,the specificity was 0.869,the best truncation value was 2.255,the sensitivity was 0.873,the specificity was 0.705,the best truncation value was 14.483,the sensitivity was 0.810,and the specificity was 0.705.The best cut-off value of hematoma volume was 7.073 ml,the sensitivity was 0.651 and the specificity was 0.869.The results of Pearson correlation analysis and general linear regression analysis showed that SII at admission was correlated with SIRI,NLR,GCS,white blood cell count,neutrophil count,lymphocyte count and platelet count,and the most significant index affecting SII was NLR.SIRI at admission was correlated with SII,NLR,GCS,white blood cell count,neutrophil count,lymphocyte count,monocyte count and mRS at discharge.The most significant index for SIRI was monocyte count.Conclusion:1、SII,SIRI,hematoma volume and GCS were independent risk factors for 3-month prognosis of SICH patients;2、High SII value,high SIRI value,large hematoma volume and low GCS score predicted poor prognosis of SICH patients at 3 months.3、SII at admission was related to SIRI,NLR,GCS,white blood cell count,neutrophil count,lymphocyte count and platelet count,and the most significant index affecting SII was NLR;4、SIRI at admission was correlated with SII,NLR,GCS,white blood cell count,neutrophil count,lymphocyte count,monocyte count and mRS at discharge.The most significant effect on SIRI was monocyte count.