scholarly journals Neutrophil-to-lymphocyte Ratio as a Risk Determinant of Hemorrhage Transformation in Acute Ischemic Stroke

2020 ◽  
pp. 8-16
Author(s):  
Shuang Ma ◽  
Bilal Muhammad ◽  
Shu Kan ◽  
Zhen-Ying Shang ◽  
Li Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Hemorrhagic Transformation ◽  
Neutrophil To Lymphocyte Ratio ◽  
Optimal Cutoff ◽  
Ischemic Lesion ◽  
Lymphocyte Ratio ◽  
Independent Risk Factors

Objective: The purpose of this study was to investigate the clinical significance between neutrophil-to-lymphocyte ratio (NLR) and classification of non-thrombolytic hemorrhagic transformation (HT) in acute ischemic stroke (AIS), to unravel new diagnostic approach. Methods: We recruited and selected 636 patients who did not undergo thrombolytic therapy between May 2018 and April 2019 at the Affiliated Hospital of Xuzhou Medical University. The laboratory and clinical data were collected within 24 h after the onset of AIS. Based on the status of HT development during hospitalization, all participants were divided into three groups, namely, the non-HT (NHT) group, hemorrhagic infarction (HI) group, and parenchymal hematoma (PH) group. Results: Multivariate logistic regression analysis showed that NLR and the ischemic lesion diameter are independent risk factors of HI and PH, while the score of National Institutes of Health Stroke Scale (NIHSS) and cardioembolism are considered to be independent risk factors for PH only. Receiver operating characteristic (ROC) analysis determined that the optimal cutoff values of NLR in HI group and PH group were 3.75 and 3.97, respectively. The optimal cutoff value can be used as the critical value for the unfavorable outcome. Conclusion: NLR values were significantly increased and correlated with both HI and PH groups and NLR could be used as a predictor of both HI and PH.

scholarly journals High Neutrophil-to-Lymphocyte Ratio Predicts Hemorrhagic Transformation in Acute Ischemic Stroke Patients Treated with Intravenous Thrombolysis

2020 ◽  
Vol 2020 ◽  
pp. 1-6 ◽  
Author(s):  
Yong-Lin Liu ◽  
Jie-Kai Lu ◽  
Han-Peng Yin ◽  
Pei-Shan Xia ◽  
Dong-Hai Qiu ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Treatment Time ◽  
Univariate Analysis ◽  
Intravenous Thrombolysis ◽  
Hemorrhagic Transformation ◽  
Neutrophil To Lymphocyte Ratio ◽  
Nihss Score ◽  
Logistic Regression Models ◽  
Lymphocyte Ratio

Background. The relationship between the neutrophil-to-lymphocyte ratio (NLR) and hemorrhagic transformation (HT) in acute ischemic stroke (AIS) treated with intravenous thrombolysis (IVT) remains unclear. This study assessed whether high NLR is associated with HT in this population. Methods. Data were prospectively collected for continuous patients with AIS treated with IVT and retrospectively analyzed. Clinical variables included age, sex, vascular risk factors, National Institutes of Health Stroke Scale (NIHSS) score, onset-to-treatment time, and initial hematologic and neuroimaging findings. HT was confirmed by imaging performed within 3 days after IVT. Symptomatic HT (sHT) was defined as NIHSS score increased by 4 points compared with that on admission according to previously published criteria. The NLR value was based on the blood examination before IVT, and high NLR was defined as ≥75th percentile. Results. The study included 285 patients (201 (70.5%) males, the mean age was 62.3 years (range 29–89)). Seventy-two (25.3%) patients presented with HT, including three (1.1%) with sHT. The median NLR was 2.700 (1.820–4.255, interquartile range). Seventy-one (24.9%) patients had a high NLR (≥4.255) on admission. Univariate analysis indicated that patients with HT had higher NIHSS scores (P<0.001), systolic blood pressure (SBP), platelet counts, lymphocyte counts, and NLR (P<0.05), as well as a greater prevalence of high NLR than those without HT (37.5% vs. 20.7% and P=0.004). Patients with HT were more likely to have hypertension and AF. As lymphocyte counts and high NLR were highly correlated, we used two logistic regression models. In model 1 (with high NLR), NIHSS score on admission (odds ratio (OR) = 1.110, 95% confidence interval (CI) = 1.015–1.044, and P=0.001), AF (OR = 3.986, 95% CI = 2.095–7.585, and P<0.001), and high NLR (OR = 2.078, 95% CI = 1.078–4.003, P=0.029, sensitivity 0.375, and specificity 0.793) were significant predictors of HT. In model 2 (with lymphocyte counts), NIHSS score on admission (OR = 1.111, 95% CI = 1.050–1.175, and P<0.001), AF (OR = 3.853, 95% CI = 2.048–7.248, and P<0.001), and lymphocyte counts (OR = 0.522, 95% CI = 0.333–0.819, and P=0.005) were significantly associated with HT. Conclusions. High NLR could be a useful marker for predicting HT in AIS patients after IVT.

scholarly journals Correlation of neutrophil-to-lymphocyte ratio and clinical outcome of acute thrombotic stroke in patients with COVID-19

Narra J ◽  
2021 ◽  
Vol 1 (3) ◽  
Author(s):  
Rizky Sarengat ◽  
Mohammad S. Islam ◽  
Mohammad S. Ardhi
Keyword(s):  
Ischemic Stroke ◽  
Clinical Outcome ◽  
Acute Ischemic Stroke ◽  
National Institutes Of Health ◽  
Neutrophil To Lymphocyte Ratio ◽  
Stroke Patients ◽  
Cross Sectional ◽  
Lymphocyte Ratio ◽  
Life Threatening ◽  
The Mean

The coronavirus disease 2019 (COVID-19) pandemic has caused millions of deaths worldwide. Acute ischemic stroke is a life-threatening risk factor for COVID-19 infection. Neutrophil-to-lymphocyte ratio (NLR) is one of the predictors of poor prognosis in acute ischemic stroke. The aim of this study was to assess the correlation between NLR values and the clinical outcome of acute thrombotic stroke patients with COVID-19 that was measured using the National Institutes of Health Stroke Scale (NIHSS). A cross-sectional hospital-based study was conducted in Dr. Soetomo General Hospital Surabaya, Indonesia. Patients with acute thrombotic stroke and COVID-19 admitted between 1 March 2020 and 31 May 2021 were recruited. The NLR values and the NIHSS scores were assessed during the admission and the correlation between NLR and NIHSS scores was calculated. This study included 21 patients with acute thrombotic stroke and COVID-19, consisting of 12 males and 9 females. The mean age was 57.6 years old. The mean NLR values was 8.33±6.7 and the NIHSS scores ranging from 1 to 33. Our data suggested a positive correlation between NLR values and NIHSS scores, r=0.45 with p=0.041. In conclusion, the NLR value is potentially to be used as a predictor of the clinical outcome in acute thrombotic stroke patients with COVID-19. However, further study is warranted to validate this finding.

scholarly journals Risk factors affecting the 1-year outcomes of minor ischemic stroke: results from Xi’an stroke registry study of China[1]

2020 ◽  
Author(s):  
Zhongzhong Liu ◽  
Wenjuan Lin ◽  
Qingli Lu ◽  
Jing Wang ◽  
Pei Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Multivariate Logistic Regression ◽  
Factors Affecting ◽  
Nihss Score ◽  
Minor Ischemic Stroke ◽  
Independent Risk Factors

Abstract Background: The incidences of stroke recurrence, disability, and all-cause death of patients with minor ischemic stroke (MIS) remain problematic. The aim of the present was to identify risk factors associated with adverse outcomes at 1-year after MIS in the Xi’an region of China. Methods: The cohort of this prospective cohort study included MIS patients aged 18–97 years with a National Institutes of Health Stroke Scale (NIHSS) score of ≤ 3 who were treated in any of four hospitals in Xi’an region of China between January and December 2015. The 1-year percentage of stroke recurrence, disability, and all-cause death were evaluated. Multivariate logistic regression analysis was performed to assess the association between the identified risk factors and clinical outcomes. Results: Among the 1,121 patients included for analysis, the percentage of stroke recurrence, disability, and all-cause death at 1 year after MIS were 3.4% (38/1121), 9.3% (104/1121), and 3.3% (37/1121), respectively. Multivariate logistic regression analysis identified age, current smoking, and pneumonia as independent risk factors for stroke recurrence. Age, pneumonia, and alkaline phosphatase were independent risk factors for all-cause death. Independent risk factors for disability were age, pneumonia, NIHSS score on admission, and leukocyte count. Conclusions: The 1-year outcomes of MIS is not optimistic in the Xi’an region of China, especially high percentage of disability. In this study, we found the risk factors affecting 1-year stroke recurrence, disability and, all-cause death which need further verification in the subsequent studies.

Individual and Combined Evaluation of Specific Inflammatory Biomarkers along with Neutrophil, Lymphocyte, and Platelet Counts in Predicting Poststroke Disability Severity Among Acute Ischemic Stroke Patients in a Tertiary Hospital in Pampanga, Philippines

2021 ◽  
Vol 156 (Supplement_1) ◽  
pp. S103-S103
Author(s):  
E R Marcadejas ◽  
M P Lagman ◽  
A S Mendoza ◽  
R E Marzan ◽  
A Z Manongdo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Tertiary Hospital ◽  
Inflammatory Biomarkers ◽  
Lymphocyte Ratio ◽  
Advance Research ◽  
Level 1 ◽  
And Gender ◽  
Level 2

Abstract Introduction/Objective Numerous studies considered Neutrophil-to-Lymphocyte ratio (NLR), Platelet-to-Lymphocyte ratio (PLR), and Mean Platelet Volume (MPV) as inflammatory biomarkers in assessing the functional outcomes of Acute Ischemic Stroke (AIS) Patients. Presumably, no other study has evaluated all three markers in varying levels of combinations. The study aims to evaluate the predictive potential of specific CBC parameters (Neutrophils, Lymphocytes, and Platelets), their individual ratios (NLR, PLR, and MPV), and their combinations (NLR-PLR, NLR- MPV, PLR-MPV, and PLR-NLR-MPV). Methods/Case Report This retrospective study involved 52 AIS patients from a hospital in Pampanga, Philippines, at least 18 years of age, have no pre-existing conditions and prior treatments/medications. Modified Rankin Scale (mRS) score, medical history, age, and gender were gathered. Specific CBC parameters upon admission were analyzed to derive individual ratios. The combined biomarkers, categorized into Levels 2, 1, and 0, indicate high values for all biomarkers involved, high values for any of the biomarkers (one or two high value/s for PLR-NLR-MPV), and no high values for any of the biomarkers, respectively. Results (if a Case Study enter NA) Results showed that elevated NLR (OR=14.5; p=0.021) and MPV (OR=24.1; p=0.047) are risk factors in developing evident poststroke disability (mRS 2-5) and mortality (mRS 6), respectively. Furthermore, level 2 NLR-MPV (OR=77.0; p=0.040) and PLR-MPV (OR=105; p=0.027) are risk factors on mortality. Level 2 PLR-NLR (OR=15.0; p=0.021) and level 1 NLR-MPV (OR=13.5; p=0.024) are risk factors in developing evident poststroke disability. Lastly, levels 1 (OR=13.5; p=0.024) and 2 (OR=77.0; p=0.040) PLR-NLR-MPV are risk factors in developing evident poststroke disability and mortality, respectively. Conclusion Patients with neutrophilia, elevated NLR, level 2 PLR-NLR, and level 1 NLR-MPV and PLR-NLR-MPV are more likely to develop evident poststroke disability; while patients with elevated MPV and Level 2 NLR-MPV, PLR- MPV, and PLR-NLR-MPV pose higher mortality risk. Greater sample size is recommended for studies with the same purpose to advance research for better AIS outcomes.

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