Olalusi Oladotun V, Yaria Joseph, Fakunle Adekunle, Makanjuola Akintomiwa, Akinyemi Rufus, Owolabi Mayowa, Ogunniyi Adesola
Department of Neurology, University College Hospital, Ibadan, Nigeria; Neuroscience and aging research unit, Institute of Advanced Medical Research and Training, College of Medicine, University of Ibadan, Nigeria.
Department of Neurology, University College Hospital, Ibadan, Nigeria; Center for Genomics and Precision Medicine, College of Medicine, University of Ibadan, Nigeria.
J Neurol Sci. 2025 Jul 15;474:123554. doi: 10.1016/j.jns.2025.123554. Epub 2025 May 25.
We hypothesized that the neutrophil-lymphocyte ratio (NLR) alone, compared with a combination of the NLR and National Institutes of Health Stroke Scale score (NIHSS) [(NLR + NIHSS)], may help identify persons with severe stroke in a low-resource setting, with few personnel trained to assess the NIHSS score.
We studied 212 participants which included 106 patients with clinico-radiologic diagnosis of AIS and 106 comparative group. At inception, patients with clinico-laboratory features of sepsis, or infection were excluded. Stroke severity was assessed using the Stroke Levity Scale (SLS) and NIHSS scores while NLR was obtained at admission. Factors [beta coefficient (95 % CI)] associated with stroke severity (SLS ≤ 5) were reported using a multi-variable linear regression. A Receiver Operating Characteristics (ROC) curve was used to test the discriminatory ability of the NLR compared with the NLR + NIHSS score in identifying patients with severe stroke (using the SLS score).
Median (IQR) NLR was 2.87 (3.0) among cases and 0.98(0.6) for controls, (p < 0.001). The median (IQR) SLS score of stroke participants was [8.0 (6.0)]. Independent predictors of severe ischemic stroke were baseline NLR [-0.53 (-0.79, -0.26)], admitting GCS [0.31 (0.09, 0.53)], and infarct volume [-0.07 (-0.10, -0.03)]. The NLR alone had an AUC (95 % CI) of 0.82 (0.72-0.92) compared to the NLR + NIHSS score with 0.85 (0.76-0.94).
High admitting NLR is independently associated with severe AIS. In a low-resource setting, with few personnel trained to assess the NIHSS score, the NLR alone may help identify patients with severe AIS.
我们推测,在资源匮乏且很少有人员接受过美国国立卫生研究院卒中量表(NIHSS)评分评估培训的情况下,单独的中性粒细胞与淋巴细胞比值(NLR)与NLR和NIHSS评分相结合[(NLR + NIHSS)]相比,可能有助于识别重症卒中患者。
我们研究了212名参与者,其中包括106例经临床影像学诊断为急性缺血性卒中(AIS)的患者和106名对照组。在开始时,排除具有脓毒症或感染临床实验室特征的患者。使用卒中严重程度量表(SLS)和NIHSS评分评估卒中严重程度,同时在入院时获取NLR。使用多变量线性回归报告与卒中严重程度(SLS≤5)相关的因素[β系数(95%CI)]。采用受试者工作特征(ROC)曲线来测试NLR与NLR + NIHSS评分在识别重症卒中患者(使用SLS评分)方面的鉴别能力。
病例组的NLR中位数(四分位间距)为2.87(3.0),对照组为0.98(0.6),(p < 0.001)。卒中参与者的SLS评分中位数(四分位间距)为[8.0(6.0)]。重症缺血性卒中的独立预测因素为基线NLR[-0.53(-0.79,-0.26)]、入院时格拉斯哥昏迷量表(GCS)评分[0.31(0.09,0.53)]和梗死体积[-0.07(-0.10,-0.03)]。单独的NLR的曲线下面积(AUC,95%CI)为0.82(0.72 - 0.92),而NLR + NIHSS评分为0.85(0.76 - 0.94)。
入院时较高的NLR与重症AIS独立相关。在资源匮乏且很少有人员接受过NIHSS评分评估培训的情况下,单独的NLR可能有助于识别重症AIS患者。