UNASSIGNED: In this retrospective study, data on baseline CT imaging characteristics, mRS, hematoma volume, and laboratory variables were included. The SII and NLR, LMR, and PLR were calculated from laboratory data collected on admission day, day 1, and days 5-7. Both univariate and multivariable logistic regression analyses were used to assess the association between the SII and the outcome. The receiver operating characteristic (ROC) analysis and area under the curve (AUC) were also used to evaluate the ability of the SII to predict outcomes.
UNASSIGNED: A total of 245 patients were enrolled in the study. On different days, the NLR, PLR, and SII were significantly lower in patients with favorable outcomes than in those with poor outcomes, and the volume of hemorrhage was positively correlated with the SII. These parameters were associated with outcomes in the univariate logistic regression. In the adjusted analyses, the SII and PLR were independent predictors of basal ganglia ICH outcomes. ROC analysis revealed that the SII showed a stronger ability to predict the 6-month outcomes of patients after basal ganglia ICH than the PLR on different days (AUC = 0.642, 0.804, 0.827 vs. 0.592, 0.725, 0.757; all P < 0.001).
UNASSIGNED: The SII independently and strongly predicts the outcome of basal ganglia ICH. A high SII was associated with poor 6-month outcomes in patients with basal ganglia ICH.
■在这项回顾性研究中,基线CT成像特征数据,mRS,血肿体积,并包括实验室变量。SII和NLR,LMR,和PLR是根据入院当天收集的实验室数据计算的,第1天和第5-7天。使用单变量和多变量逻辑回归分析来评估SII与结果之间的关联。受试者工作特征(ROC)分析和曲线下面积(AUC)也用于评估SII预测结果的能力。
■共有245名患者被纳入研究。在不同的日子里,NLR,PLR,结果良好的患者和SII明显低于结果较差的患者,出血量与SII呈正相关。这些参数与单变量逻辑回归的结果相关。在调整后的分析中,SII和PLR是基底节ICH结局的独立预测因子.ROC分析显示,SII比PLR在不同日期显示出更强的预测基底神经节ICH后患者6个月预后的能力(AUC=0.642、0.804、0.827vs.0.592、0.725、0.757;所有P<0.001)。
■SII独立且有力地预测了基底神经节ICH的预后。高SII与基底神经节ICH患者6个月预后差相关。