Du Mingyang, Xu Lili, Zhang Xiaohao, Huang Xianjun, Cao Hui, Qiu Feng, Lan Wenya, Jiang Haibo
Cerebrovascular Disease Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu Province, 210029, People's Republic of China.
Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210002, People's Republic of China.
J Inflamm Res. 2023 Jul 19;16:3009-3017. doi: 10.2147/JIR.S419087. eCollection 2023.
Inflammatory burden index (IBI) is a systemic inflammation indicator that reflects the inflammatory status. We aimed to investigate the prognostic value of IBI after endovascular thrombectomy (EVT) in patients with acute ischemic stroke.
We enrolled patients treated with EVT from a multicenter cohort between June 2020 and December 2021. The IBI was calculated as C-reaction protein × neutrophil / lymphocyte count. The primary outcome was the unfavorable functional outcome (90-day modified Rankin scale score 3-6). C-statistics and net reclassification indexes were used to assess the predictive accuracy. Multivariable logistic regression models were used to investigate the association between IBI and unfavorable outcome.
A total of 295 patients (mean age, 64.0 ± 12.8 years; male, 63.7%) were enrolled in this study. In multivariable models, higher IBI levels were associated with an increased risk of 90-day unfavorable outcome after EVT (per 1-SD: odds ratio, 1.754; 95% confidence interval, 1.241-2.587; = 0.002). Restricted cubic spline curve displayed a linear relationship between the IBI level and 90-day unfavorable outcome ( for nonlinearity = 0.410). Besides, IBI was a more accurate biomarker for predicting unfavorable outcomes with the highest predictive accuracy and reclassification indexes.
This study demonstrated that higher IBI was associated with an increased risk of 90-day unfavorable outcome in acute ischemic stroke treated with EVT.
炎症负担指数(IBI)是一种反映炎症状态的全身炎症指标。我们旨在研究急性缺血性卒中患者血管内血栓切除术(EVT)后IBI的预后价值。
我们纳入了2020年6月至2021年12月期间来自多中心队列接受EVT治疗的患者。IBI的计算方法为C反应蛋白×中性粒细胞/淋巴细胞计数。主要结局为不良功能结局(90天改良Rankin量表评分3 - 6分)。采用C统计量和净重新分类指数评估预测准确性。多变量逻辑回归模型用于研究IBI与不良结局之间的关联。
本研究共纳入295例患者(平均年龄,64.0±12.8岁;男性,63.7%)。在多变量模型中,较高的IBI水平与EVT后90天不良结局风险增加相关(每增加1个标准差:比值比,1.754;95%置信区间,1.241 - 2.587;P = 0.002)。限制立方样条曲线显示IBI水平与90天不良结局之间呈线性关系(非线性检验P = 0.410)。此外,IBI是预测不良结局的更准确生物标志物,具有最高的预测准确性和重新分类指数。
本研究表明,较高的IBI与接受EVT治疗的急性缺血性卒中90天不良结局风险增加相关。