Guo Jiahuan, Wang Dandan, Jia Jiaokun, Zhang Jia, Liu Yanfang, Lu Jingjing, Zhao Xingquan, Yan Jing
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
J Inflamm Res. 2024 Sep 23;17:6661-6672. doi: 10.2147/JIR.S480513. eCollection 2024.
Inflammatory response plays essential roles in the pathophysiology of both ischemic stroke and atrial fibrillation (AF). We aimed to investigate whether composite inflammatory markers, including neutrophil to lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR), can serve as early predictors of short- and long-term outcomes in ischemic stroke patients with AF.
Ischemic stroke patients with AF were enrolled in this cohort study. The primary outcome was 1-year functional dependence or death (modified Rankin scale (mRS) score 3-6). Secondary outcomes included hemorrhagic transformation (HT) and early neurological deterioration (END, increase in the National Institutes of Health Stroke Scale (NIHSS) ≥4 within 7 days). Partial correlations were performed to assess the correlation between systemic inflammation markers and admission NIHSS scores. Univariate and multivariate logistic analyses were performed to investigate whether systemic inflammatory markers were independent predictors of adverse outcomes.
A total of 408 patients were included. Partial correlation analysis revealed statistically significant but weak correlations between the NLR (r = 0.287; P < 0.001), PLR (r = 0.158; P = 0.001) and admission NIHSS score. Compared with patients without HT or END, patients who developed HT or END had higher NLR and PLR, and lower LMR. Patients in the functional dependence or death group had significantly higher NLR and PLR, and lower LMR than those in the functional independence group (all P < 0.001). Multivariate logistic analysis indicated that NLR, LMR and PLR were independent predictors of HT (OR = 1.069, 0.814 and 1.003, respectively), END (OR = 1.100, 0.768 and 1.006, respectively) and adverse 1-year functional outcome (OR = 1.139, 0.760 and 1.005, respectively).
NLR, LMR and PLR were independent predictors for in-hospital HT, END and long-term functional outcome in ischemic stroke patients with AF. Close monitoring of these inflammatory markers may help guide risk stratification and clinical treatment strategies.
炎症反应在缺血性卒中和心房颤动(AF)的病理生理学中均起着至关重要的作用。我们旨在研究包括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)在内的复合炎症标志物是否可作为AF合并缺血性卒中患者短期和长期预后的早期预测指标。
本队列研究纳入了AF合并缺血性卒中的患者。主要结局为1年时的功能依赖或死亡(改良Rankin量表(mRS)评分3 - 6分)。次要结局包括出血性转化(HT)和早期神经功能恶化(END,美国国立卫生研究院卒中量表(NIHSS)评分在7天内增加≥4分)。进行偏相关分析以评估全身炎症标志物与入院时NIHSS评分之间的相关性。进行单因素和多因素逻辑回归分析以研究全身炎症标志物是否为不良结局的独立预测指标。
共纳入408例患者。偏相关分析显示,NLR(r = 0.287;P < 0.001)、PLR(r = 0.158;P = 0.001)与入院时NIHSS评分之间存在统计学显著但较弱的相关性。与未发生HT或END的患者相比,发生HT或END的患者NLR和PLR更高,LMR更低。功能依赖或死亡组患者的NLR和PLR显著高于功能独立组,LMR则显著低于功能独立组(均P < 0.001)。多因素逻辑回归分析表明,NLR、LMR和PLR分别是HT(OR = 1.069、0.814和1.003)、END(OR = 1.100、0.768和1.006)及1年不良功能结局(OR = 1.139、0.760和1.005)的独立预测指标。
NLR、LMR和PLR是AF合并缺血性卒中患者院内HT、END及长期功能结局的独立预测指标。密切监测这些炎症标志物可能有助于指导风险分层和临床治疗策略。