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Systemic inflammatory response index at admission predicts postoperative outcome in patients with spontaneous intracerebral hemorrhage in basal ganglia region

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Author:
No author available
Journal Title:
International Journal of Cerebrovascular Diseases
Issue:
4
DOI:
10.3760/cma.j.issn.1673-4165.2024.04.004
Key Word:
脑出血;炎症;单核细胞;中性粒细胞;淋巴细胞;治疗结果;生物标志物;Cerebral hemorrhage;Inflammation;Monocytes;Neutrophils;Lymphocytes;Treatment outcome;Biomarkers

Abstract: Objective:To the investigate the predictive value of preoperative systemic inflammatory response index (SIRI) for postoperative clinical outcome in patients with spontaneous intracerebral hemorrhage (ICH) in basal ganglia region.Methods:Patients with ICH in basal ganglia region underwent surgical treatment at the Department of Neurosurgery, the Affiliated Hospital of Qingdao University from January 2015 to December 2021 were retrospectively included. At 3 months after surgery, the modified Rankin Scale was used to evaluate the clinical outcome, with a score of 0-2 defined as good outcome and >2 defined as poor outcome. Multivariate logistic regression analysis was used to identify the independent correlation between SIRI and poor outcome in patients with ICH. Receiver operating characteristic (ROC) curve analysis was used to identify the predictive value of SIRI. Results:A total of 258 patients with ICH in basal ganglia region underwent surgical treatment were enrolled, including 176 males (68.22%), aged 57.00 years (interquartile range, 49.00-65.25 years); median hematoma volume was 50.00 ml (interquartile range, 40.00-70.00 ml), and median SIRI was 4.12 (interquartile range, 2.28-7.30); 143 patients (55.43%) had poor outcome. Multivariate logistic regression analysis showed that older age (odds ratio [ OR] 1.070, 95% confidence interval [ CI] 1.030-1.111; P<0.001), lower Glasgow Coma Scale score ( OR 0.669, 95% CI 0.575-0.779; P<0.001), higher platelet count ( OR 1.010, 95% CI 1.003-1.017; P=0.004), and higher SIRI ( OR 1.434, 95% CI 1.255-1.638; P<0.001) were the independent predictors of poor outcome. ROC curve analysis showed that the area under the curve for predicting poor outcome by SIRI was 0.791 (95% CI 0.737-0.845; P<0.001), with an optimal cutoff value of 4.53. The predictive sensitivity and specificity were 67.8% and 81.7%, respectively. Conclusion:Preoperative SIRI can effectively predict the clinical outcome of patients with ICH in basal ganglia area at 3 months after surgery, and SIRI >4.53 indicates poor outcome.

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