Volume 42 Issue 11
Nov.  2021
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Article Contents
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
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.
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