Hu Wan Qin , Zhao Hong Bo , Liang Hong , Zhao Qing Hua , Yang Li Hua . Analysis of Differential Expression Genes and Signal Pathways Associated with Cisplatin Resistant Ovarian Cancer[J]. Journal of Kunming Medical University, 2017, 38(06): 97-101.
Citation: Yi YANG, Yong-bo ZHANG. Value of Neutrophil to Lymphocyte Ratio and Derived Neutrophil to Lymphocyte Ratio in Prediction of Hemorrhagic Transformation In Acute Ischemic Stroke with Large-artery Atherosclerosis[J]. Journal of Kunming Medical University, 2021, 42(11): 33-37. doi: 10.12259/j.issn.2095-610X.S20211106

Value of Neutrophil to Lymphocyte Ratio and Derived Neutrophil to Lymphocyte Ratio in Prediction of Hemorrhagic Transformation In Acute Ischemic Stroke with Large-artery Atherosclerosis

doi: 10.12259/j.issn.2095-610X.S20211106
  • Received Date: 2021-09-05
    Available Online: 2021-11-15
  • Publish Date: 2021-11-30
  •   Objective  To investigate the value of NLR and dNLR in prediction of HT in patients with AIS-LAA.   Methods  A retrospective study was conducted to analyze the clinical data of 151 patients with AIS-LAA, Department of Neurology, Beijing Friendship Hospital, from October 2020 to February 2021. They were divided into HT group (n = 19) and non-HT group (n = 132) according to the incidence of HT. General information and laboratory examination results were collected. The influencing factors of HT in patients with AIS were analyzed by multivariate Logistic regression analysis, ROC curve was drawn to analyze the predictive value of NLR and dNLR on HT in patients with AIS-LAA.   Results  (1) NIHSS and systolic blood pressure on admission in HT group were statistically significantly higher than that in non-HT group, the number of thrombolysis in HT group was statistically significantly higher than those in non-HT (P < 0.05); (2) Multivariate Logistic regression analysis results showed that NLR [aOR = 1,441, 95% CI (1.154-1.798), P = 0.001] and dNLR [aOR = 1.505, 95% CI (1.163-2.165), P < 0.001] were independent influencing factors of HT in patients with AIS-LAA. (3) ROC curves demonstrated that the optimal cutoff value of dNLR for HT was 2.78 (sensitivity 83.3%, specificity 63.16%), the area under the curve (AUC) value is 0.75 [95% CI (0.67-0.82), P < 0.001]. For NLR, the optimal cutoff value was 4.61 (sensitivity 80.3%, specificity 63.16%), the AUC value 0.71 [95% CI (0.63-0.78), P = 0.004].   Conclusion  NLR and dNLR are probably independent influencing factors of HT in patients with AIS-LAA, dNLR has relatively high value in prediction of HT in patients with AIS-LAA.
  • [1]
    Adams H P Jr,Bendixen B H,Kappelle L J,et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment[J]. Stroke,1993,24(1):35-41. doi: 10.1161/01.STR.24.1.35
    [2]
    Gao S,Wang Y J,Xu A D. Chinese ischemic stroke sub-classification[J]. Front Neurol,2011,2(6):1-5.
    [3]
    Deng Q W,Liu Y K,Zhang Y Q,et al. Low triglyceride to high-density lipoprotein cholesterol ratio predicts hemorrhagic transformation in large atherosclerotic infarction of acute ischemic stroke[J]. Aging (Albany NY),2019,11(5):1589-1601. doi: 10.18632/aging.101859
    [4]
    彭斌,吴波,中华医学神经病学分会等. 中国急性缺血性脑卒中诊治指南2018[J]. 中华神经科杂志,2018,51(9):666-682. doi: 10.3760/cma.j.issn.1006-7876.2018.09.004
    [5]
    Choi K H,Park M S,Kim J T. The serum ferritin level is an important predictor of hemorrhagic transformation in acute ischaemic stroke[J]. Eur J Neurol,2012,19(4):570-577. doi: 10.1111/j.1468-1331.2011.03564.x
    [6]
    Planas A M. Role of immune cells migrating to the ischemic brain[J]. Stroke,2018,49(9):2261-2267. doi: 10.1161/STROKEAHA.118.021474
    [7]
    Semerano A,Laredo C,Zhao Y S,et al. Leukocytes,collateral circulation,and reperfusion in ischemic stroke patients treated with mechanical thrombectomy[J]. Stroke,2019,50(12):3456-3464. doi: 10.1161/STROKEAHA.119.026743
    [8]
    Zhang R R,Wu X D,Hu X D,et al. Neutrophil-to-lymphocyte ratio predicts hemorrhagic transformation in ischemic stroke:A meta-analysis[J]. Brain Behav,2019,9(9):e01382.
    [9]
    Gorelick P B,Wong K S,Bae H J,et al. Large artery intracranial occlusive disease:a large worldwide burden but a relatively neglected frontier[J]. Stroke,2008,39(8):2396-2399. doi: 10.1161/STROKEAHA.107.505776
    [10]
    Sophie Gautier,Thavarak Ouk,Madjid Tagzirt,et al. Impact of the neutrophil response to granulocyte colony-stimulating factor on the risk of hemorrhage when used in combination with tissue plasminogen activator during the acute phase of experimental stroke[J]. J Neuroinflammation,2014,11(5):96-105.
    [11]
    Morotti A,Phuah C L,Anderson C D,et al. Leukocyte count and intracerebral hemorrhage expansion[J]. Stroke,2016,47(6):1473-1478. doi: 10.1161/STROKEAHA.116.013176
    [12]
    Alexander S Savchenko,Julian I Borissoff,Kimberly Martinod,et al. VWF-mediated leukocyte recruitment with chromatin decondensation by PAD4 increases myocardial ischemia/reperfusion injury in mice[J]. Blood,2014,123(1):141-148. doi: 10.1182/blood-2013-07-514992
    [13]
    García-Culebras A,Durán-Laforet V,Peña-Martínez C,et al. Myeloid cells as therapeutic targets in neuroinflammation after stroke:Specific roles of neutrophils and neutrophil-platelet interactions[J]. J Cereb Blood Flow Metab Actions,2018,38(12):2150-2164. doi: 10.1177/0271678X18795789
    [14]
    Salas-Perdomo A,Miró-Mur F,Urra X,et al. T cells prevent hemorrhagic transformation in ischemic stroke by P-selectin binding[J]. Arterioscler Thromb Vasc Biol,2018,38(8):1761-1771. doi: 10.1161/ATVBAHA.118.311284
    [15]
    Park B J,Shim J Y,Lee H R,et al. Relationship of neutrophil-lymphocyte ratio with arterial stiffness and coronary calcium score[J]. Clinica Chimica Acta,2011,412(11-12):925-929. doi: 10.1016/j.cca.2011.01.021
    [16]
    Song Q H,Li Y S,Wang Y N,et al. Increased neutrophil-to-lymphocyte ratios are associated with greater risk of hemorrhagic transformation in patients with acute ischemic stroke[J]. Current Neurovascular Research,2018,15(4):326-335.
    [17]
    Yang Y,Han Y F,Zhang Y B,et al. Increased systemic immune-inflammation index predicts hemorrhagic transformation in anterior circulation acute ischemic stroke due to large-artery atherosclerotic[J]. Int J Neurosci,2021,22(7):1-7.
    [18]
    Trifan G,Testai F D. Systemic immune-inflammation index predicts poor outcome after spontaneous supratentorial intracerebral hemorrhage[J]. J Stroke Cerebrovasc Dis,2020,29(9):105057. doi: 10.1016/j.jstrokecerebrovasdis.2020.105057
  • Relative Articles

    [1] Jiajia XUE, Xiaoxiao WANG, Xu WANG, Yuanyuan SUN, Honglu ZHU. Application of Thyroid Function Indicators Combined with Transcranial Doppler Ultrasound and Carotid Ultrasound in the Assessment of Vascular Stenosis in Atherosclerotic Cerebral Infarction. Journal of Kunming Medical University, 2025, 46(3): 103-109.  doi: 10.12259/j.issn.2095-610X.S20250316
    [2] Yao YANG, Jianxiong LIU, Yun ZHANG, Fanyi KONG, Shixiang LIU. Relationships between Large Artery Atherosclerotic Stroke and Cardiac Function. Journal of Kunming Medical University, 2022, 43(11): 107-111.  doi: 10.12259/j.issn.2095-610X.S20221126
    [3] Yang Juan , Zhao Xiao Hui , Li Jin Shi , Liu Hui Qin , Wang Ling Ling , Ren Hai Bing , Wang Si Si , Yan Jing , Sui Hai Jing . . Journal of Kunming Medical University, 2019, 40(04): 101-106.
    [4] Du Rong , Xu Bi Zhi . Investigation on the Secondary Epilepsy Occurrence of Patients with Cerebral Infarction and Its Risk Factors. Journal of Kunming Medical University, 2018, 39(04): 100-103.
    [5] Yang Bi Qing , Wang Xun . Significance of Serum Total Bilirubin Level in Cerebral Emergencies. Journal of Kunming Medical University, 2017, 38(09): 66-70.
    [6] Wei Qing , Zhang Rui , Liu Jun Mei , Dai Xiao Rong . . Journal of Kunming Medical University, 2017, 38(02): 104-108.
    [7] Xu Bi Zhi , Du Rong , Wu Xiao Cui . Influence of Optimized Nursing Process on the Clinical Effect and Quality of Life of Patients with Cerebral Infarction Received Intravenous Thrombolysis. Journal of Kunming Medical University, 2016, 37(12): 144-147.
    [8] Chen Juan . . Journal of Kunming Medical University,
    [9] Wang Dan . . Journal of Kunming Medical University,
    [10] Li Peng Xiang . . Journal of Kunming Medical University,
    [11] Shen Yue Ling . . Journal of Kunming Medical University,
    [12] Huang Wei . . Journal of Kunming Medical University,
    [13] Shen Zhi Qiang . . Journal of Kunming Medical University,
    [14] Shen Zhi Qiang . . Journal of Kunming Medical University,
    [15] Nie Zhi . . Journal of Kunming Medical University,
    [16] . The Clinical Study on Treatment of Acute Cerebral Infarction with Hydrochloric Fasudil. Journal of Kunming Medical University,
    [17] Deng Yan . . Journal of Kunming Medical University,
    [18] Li Qiu Yuan . . Journal of Kunming Medical University,
    [19] Li Ye Hong . . Journal of Kunming Medical University,
    [20] Li Fu Ping . . Journal of Kunming Medical University,
  • Cited by

    Periodical cited type(7)

    1. 陈海英,葛雅芳,潘顺,杨海鸥. 炎症衍生指标和胱抑素C对子痫前期的临床意义. 检验医学. 2024(06): 557-561 .
    2. 孙辉,王富鑫,祝孔辉. 阿加曲班联合双抗对大动脉粥样硬化脑梗死患者的疗效分析. 医药论坛杂志. 2024(17): 1873-1876 .
    3. 田杨,李蕾,孟岳,薛明琛. IVIM-DWI灌注参数与中青年急性脑梗死神经功能缺损程度及溶栓后出血性转化的相关性. 中国CT和MRI杂志. 2023(11): 11-14 .
    4. 黄露,金超伦,傅梦娜,陈金焕. 经皮冠状动脉介入术后心力衰竭的危险因素. 中国医师杂志. 2023(10): 1525-1529 .
    5. 杨思敏,李梦杰,方贺,杨伟民. 急性缺血性脑卒中出血转化机制及预测因子的研究进展. 华西医学. 2022(06): 932-936 .
    6. 陈欣,宋文慧,秦川,田代实,潘邓记. 粒淋比在中枢神经系统特发性炎性脱髓鞘疾病中的临床意义. 神经损伤与功能重建. 2022(10): 579-581+586 .
    7. 师树荫. 新辅助化疗后行食管癌根治术NLR、dNLR与肺炎发生的关系. 华夏医学. 2022(06): 69-73 .

    Other cited types(3)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(1)  / Tables(3)

    Article Metrics

    Article views (3517) PDF downloads(45) Cited by(10)
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return