Liang Zhang, Liu He, Xue Li, Ma Bin, Yang Ling-Zhi, Liang Qing-Le, Zhou Zhang-Ming
Department of Neurosurgery, Dujiangyan Medical Center, Chengdu, China.
Department of Radiology, First Affiliated Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Heliyon. 2023 Jun 8;9(6):e16937. doi: 10.1016/j.heliyon.2023.e16937. eCollection 2023 Jun.
This study aimed to determine whether SII on different days of admission is associated with severity and 180-day functional outcomes after basal ganglia ICH.
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.
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 < 0.001).
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.
本研究旨在确定基底节区脑出血患者入院不同时间的全身免疫炎症指标（SII）是否与病情严重程度及180天功能预后相关。
在这项回顾性研究中，纳入了基线CT影像特征、改良Rankin量表（mRS）、血肿体积及实验室指标的数据。SII以及中性粒细胞与淋巴细胞比值（NLR）、淋巴细胞与单核细胞比值（LMR）和血小板与淋巴细胞比值（PLR）根据入院当天、第1天以及第5 - 7天收集的实验室数据计算得出。采用单因素和多因素逻辑回归分析评估SII与预后之间的关联。还使用了受试者工作特征（ROC）分析和曲线下面积（AUC）来评估SII预测预后的能力。
本研究共纳入245例患者。在不同时间，预后良好的患者其NLR、PLR和SII显著低于预后不良的患者，且出血量与SII呈正相关。这些参数在单因素逻辑回归中与预后相关。在校正分析中，SII和PLR是基底节区脑出血预后的独立预测因素。ROC分析显示，在不同时间，SII预测基底节区脑出血患者6个月预后的能力比PLR更强（AUC分别为0.642、0.804、0.827 对比 0.592、0.725、0.757；均P < 0.001）。
SII可独立且有力地预测基底节区脑出血的预后。高SII与基底节区脑出血患者6个月的不良预后相关。
