Gong Pengyu, Liu Yukai, Gong Yachi, Chen Gang, Zhang Xiaohao, Wang Siyu, Zhou Feng, Duan Rui, Chen Wenxiu, Huang Ting, Wang Meng, Deng Qiwen, Shi Hongchao, Zhou Junshan, Jiang Teng, Zhang Yingdong
Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, Jiangsu, China.
Department of Gerontology, Nantong Third People's Hospital, Nantong University, Nantong, 226006, Jiangsu, China.
J Neuroinflammation. 2021 Feb 20;18(1):51. doi: 10.1186/s12974-021-02090-6.
To investigate the association of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) with post-thrombolysis early neurological outcomes including early neurological improvement (ENI) and early neurological deterioration (END) in patients with acute ischemic stroke (AIS).
AIS patients undergoing intravenous thrombolysis were enrolled from April 2016 to September 2019. Blood cell counts were sampled before thrombolysis. Post-thrombolysis END was defined as the National Institutes of Health Stroke Scale (NIHSS) score increase of ≥ 4 within 24 h after thrombolysis. Post-thrombolysis ENI was defined as NIHSS score decrease of ≥ 4 or complete recovery within 24 h. Multinomial logistic regression analysis was performed to explore the relationship of NLR, PLR, and LMR to post-thrombolysis END and ENI. We also used receiver operating characteristic curve analysis to assess the discriminative ability of three ratios in predicting END and ENI.
Among 1060 recruited patients, a total of 193 (18.2%) were diagnosed with END and 398 (37.5%) were diagnosed with ENI. Multinomial logistic model indicated that NLR (odds ratio [OR], 1.385; 95% confidence interval [CI] 1.238-1.551, P = 0.001), PLR (OR, 1.013; 95% CI 1.009-1.016, P = 0.001), and LMR (OR, 0.680; 95% CI 0.560-0.825, P = 0.001) were independent factors for post-thrombolysis END. Moreover, NLR (OR, 0.713; 95% CI 0.643-0.791, P = 0.001) served as an independent factor for post-thrombolysis ENI. Area under curve (AUC) of NLR, PLR, and LMR to discriminate END were 0.763, 0.703, and 0.551, respectively. AUC of NLR, PLR, and LMR to discriminate ENI were 0.695, 0.530, and 0.547, respectively.
NLR, PLR, and LMR were associated with post-thrombolysis END. NLR and PLR may predict post-thrombolysis END. NLR was related to post-thrombolysis ENI.
探讨中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)以及淋巴细胞与单核细胞比值(LMR)与急性缺血性卒中(AIS)患者溶栓后早期神经功能结局(包括早期神经功能改善(ENI)和早期神经功能恶化(END))之间的关联。
纳入2016年4月至2019年9月接受静脉溶栓治疗的AIS患者。在溶栓前采集血细胞计数。溶栓后END定义为溶栓后24小时内美国国立卫生研究院卒中量表(NIHSS)评分增加≥4分。溶栓后ENI定义为溶栓后24小时内NIHSS评分降低≥4分或完全恢复。进行多项逻辑回归分析以探讨NLR、PLR和LMR与溶栓后END和ENI的关系。我们还使用受试者工作特征曲线分析来评估这三个比值在预测END和ENI方面的判别能力。
在1060例纳入的患者中,共有193例(18.2%)被诊断为END,398例(37.5%)被诊断为ENI。多项逻辑模型表明,NLR(比值比[OR],1.385;95%置信区间[CI] 1.238 - 1.551,P = 0.001)、PLR(OR,1.013;95% CI 1.009 - 1.016,P = 0.001)和LMR(OR,0.680;95% CI 0.560 - 0.825,P = 0.001)是溶栓后END的独立因素。此外,NLR(OR,0.713;95% CI 0.643 - 0.791,P = 0.001)是溶栓后ENI的独立因素。NLR、PLR和LMR鉴别END的曲线下面积(AUC)分别为0.763、0.703和0.551。NLR、PLR和LMR鉴别ENI的AUC分别为0.695、0.530和0.547。
NLR、PLR和LMR与溶栓后END相关。NLR和PLR可能预测溶栓后END。NLR与溶栓后ENI相关。