Your browser doesn't support javascript.
loading
Relationship Between Neutrophil - albumin Ratio and Short - term Prognosis of Spontaneous Cerebral Hemorrhage / 医学研究杂志
Journal of Medical Research ; (12): 108-112, 2023.
Article in Zh | WPRIM | ID: wpr-1023548
Responsible library: WPRO
ABSTRACT
Objective To investigate the relationship between neutrophil-to-albumin ratio(NAR)and severity and prognosis of patients with spontaneous intracerebral hemorrhage(sICH).Methods A total of 330 patients with sICH who met the enrollment criteria were included.They were divided into good prognosis group(mRS≤3,n =139)and poor prognosis group(mRS>3,n =191)according to the modified Rankin scale at 30days after onset.The clinical data of the two groups were analyzed by Univariate analysis,and the risk factors affecting the poor prognosis of sICH patients wereidentified by multivariate Logistic regression analysis.Spearman correlation analy-sis was used to explore the correlations between NAR and National Institute of Health stroke scale and intracerebral hemorrhage scale.The receiver operating characteristic(ROC)curve was further used to evaluate the predictive value of NAR in the early clinical prognosis of sICH patients.Results The NAR of patients with poor prognosis was significantly higher than that of patients with good prognosis[0.16(0.13,0.18)vs 0.22(0.19,0.28),P<0.001].Multivariate Logistic regression analysis showed that NAR was an independent risk factor for poor prognosis in patients with sICH after adjusting for confounding factors(OR =1.480,95%CI:1.320-1.521,P<0.001).NAR was moderately positively correlated with NIHSS(r =0.489,P<0.001)and ICH score(r =0.450,P<0.001).The area under the ROC curve of NAR was0.818(95%CI:0.771-0.865),indicating good prediction efficiency.Conclusion Elevated NAR on admission was associated with the severity of sICH,and NAR represents an independent factor associated with poor outcome in sICH patients.
Key words
Full text: 1 Index: WPRIM Language: Zh Journal: Journal of Medical Research Year: 2023 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Journal of Medical Research Year: 2023 Type: Article