scholarly journals Neutrophil-Related Ratios Predict the 90-Day Outcome in Acute Ischemic Stroke Patients After Intravenous Thrombolysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Beibei Gao ◽  
Wenjing Pan ◽  
Xueting Hu ◽  
Honghao Huang ◽  
Junli Ren ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Intravenous Thrombolysis ◽  
Multivariate Regression Analysis ◽  
Ratio Test ◽  
Operating Characteristics ◽  
Roc Curve Analysis ◽  
Clinical Prediction Model ◽  
Lr Test

Background and PurposeMounting researches have illuminated that the neutrophil-related ratios were related to the prognosis of acute ischemic stroke (AIS). However, few have compared their predictive value and accuracy. To make such comparison and identify the best indicator on the 90-day outcome, we investigated biomarkers including neutrophil ratio (Nr), neutrophil count (Nc), lymphocyte (L), neutrophil-to-lymphocyte ratio (NLR), platelet (P or PLT), platelet-to-neutrophil ratio (PNR), NLR-to-platelet ratio (NLR/PLT), eosinophil (E), neutrophil-to-eosinophil ratio (NER), monocyte (M), and monocyte-to-neutrophil ratio (MNR).MethodsThis retrospective study recruited 283 AIS and 872 healthy controls (HCs) receiving intravenous thrombolysis (IVT). Blood samples were collected after 24 h of admission before IVT. Propensity Score Matching (PSM) was used to explore whether these ratios differentiated AIS and HCs. We applied univariate and multivariate analyses to evaluate the prediction effect of these ratios separately or added in the model and figured out a clinical prediction model. To estimate the discrimination and calibration of the new models, the receiver operating characteristics (ROC) curve analysis, DeLong method, and likelihood ratio test (LR test) were utilized.ResultsPSM showed that Nr, Nc, NLR, P, PNR, NLR/PLT, NER, and MNR facilitates the differentiation of the HCs and AIS. Among the eight biomarkers, PNR and MNR could differentiate the 90-day outcome, and it was found out that PNR performed better. Univariate regression analysis demonstrated that PNR was the only independent predictor which needs no adjustment. Besides, the multivariate regression analysis, Delong method, and LR test indicated that among the neutrophil-related ratios, NLR, PNR, NLR/PLT, NER, and MNR exerted little influence on the discrimination but could enhance the calibration of the base model, and NER proved to work best.ConclusionLow PNR was the best indicator among the neutrophil-related ratios tin predicting a poor 90-day outcome of AIS patients. Moreover, high NER performed best when predicting the 90-day outcome to improve the calibration of the base model.

Abstract TP21: Is Presence of Diabetes Mellitus a Key Prognostic Factor among Patients Receiving Endovascular Treatment for Acute Ischemic Stroke?

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Seong-Joon Lee ◽  
Yang-Ha Hwang ◽  
Ji Man Hong ◽  
Jin Wook Choi ◽  
Dong-Hun Kang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Univariate Analysis ◽  
Intravenous Thrombolysis ◽  
The Impact

Introduction: Given the recent positive endovascular therapy trials for acute ischemic stroke (AIS), this therapeutic strategy is now being increasingly incorporated into routine clinical practice. Identifying prognostic factors among AIS patients receiving endovascular revascularization treatments (ERT) in the real world could be important for clinicians and patients. While the impact of diabetes mellitus (DM) on IV thrombolytic outcomes after AIS has been extensively investigated, there is a paucity of data assessing effects of DM on ERT outcomes after AIS. We evaluated the impact of comorbid DM on ERT for AIS. Methods: From Jan 2011 to Feb 2016, patients with AIS who underwent ERT for cervicocephalic occlusions were consecutively enrolled into the Acute Stroke due to Intracranial Atherosclerotic occlusion and Neurointervention - Korean Retrospective (ASIAN KR) registry from 3 hospitals. Patients were excluded if onset to puncture time over 8 hours, in-hospital stroke, or unavailable 3-month mRS. DM was diagnosed if a patient had the history, or hemoglobin A1c on admission was over 6.5. Univariate analysis was performed to compare the characteristics between DM and non-DM population. Multiple logistic regression analysis was used to validate the effect of comorbid DM on 3 month outcomes. Results: Of 721 patients, 667 (93%) were finally included, with 233 DM patients and 434 non-DM patients. In the univariate analysis, comorbidity with hypertension (71.2% vs. 58.3%, p=0.001) and dyslipidemia (36.7% vs. 26.7%, p=0.012) were more frequent in the DM population. Periprocedural factors such as target vessels, intravenous thrombolysis, and final reperfusion grades did not differ. Good outcomes with mRS 0-2 were less frequent in the DM population (43.3% vs. 53.7%, p=0.011). In the logistic regression analysis adjusting age, male sex, initial NIHSS, premorbid mRS, hypertension history, atrial fibrillation, intravenous thrombolysis, onset to puncture time and successful reperfusion, DM was an independent predictor of poor outcomes (mRS 3-6; 1.933, 1.274-2.933, p=0.002). Conclusion: In patients receiving ERT for AIS due to cervicocephalic artery occlusions, the presence of DM as a comorbidity confers greater odds of a poor functional outcome.

scholarly journals Delayed Stroke Treatment during COVID-19 Pandemic in China

2020 ◽  
Author(s):  
Shiyuan Gu ◽  
Zhengze Dai ◽  
Huachao Shen ◽  
Yongjie Bai ◽  
Xiaohao Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Acute Stroke ◽  
Acute Ischemic Stroke ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Intravenous Thrombolysis ◽  
Multivariate Logistic Regression ◽  
Delayed Treatment

ABSTRACTBackgroundSocial distance, quarantine, pathogen testing and other preventive strategies implemented during COVID-19 pandemic may negatively influence the management of acute stroke.ObjectiveThe current study aimed to evaluate the impacts of COVID-19 pandemic on treatment delay of acute stroke in China.MethodsThis study included patients with acute stroke admitted in two hospitals in Jiangsu, China. Patients admitted before and after the COVID-19 epidemic outbreak (January 31, 2020, as officially announced by Chinese government) were compared for pre- (measured as onset-to-door time) and post-hospital delay (measured as door-to-needle time). The influence factors for delayed treatment (indicated as onset-to-needle time >4.5 hours) were analyzed with multivariate logistic regression analysis.ResultsOnset-to-door time increased from 202 min (IQR 65-492) before to 317 min (IQR 75-790) after the COVID-19 pandemic (P=0.001). Door-to-needle time increased from 50min (IQR 40-75) before to 65 min (IQR 48-84) after the COVID-19 pandemic (P=0.048). The proportion of patients with intravenous thrombolysis in those with acute ischemic stroke was decreased significantly after the pandemic (15.4% vs 20.1%; P=0.030). Multivariate logistic regression analysis indicated that patients after COVID-19 pandemic, lower educational level, rural residency, mild symptoms and transported by other means than ambulance were associated with delayed treatment.ConclusionsCOVID-19 pandemic has remarkable impacts on the management of acute ischemic stroke. Both pre- and post-hospital delays were prolonged significantly, and proportion of patient arrived within the 4.5-hour time window for intravenous thrombolysis treatment was decreased. Given that anti-COVID-19 measures are becoming medical routines, efforts are warranted to shorten the delay so that the outcomes of stroke could be improved.

scholarly journals Platelet-to-lymphocyte ratio at 24h after thrombolysis is a prognostic marker in acute ischemic stroke patients

2020 ◽  
Author(s):  
Yingying Sun ◽  
Meiqi Wang ◽  
Yan Wang ◽  
Xiuli Yan ◽  
Hang Jin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Intravenous Thrombolysis ◽  
Multivariate Logistic Regression ◽  
Stroke Patients ◽  
Platelet To Lymphocyte Ratio ◽  
Poor Outcome ◽  
Before And After

Abstract Introduction: The role of Platelet-to-lymphocyte ratio (PLR) in outcomes of acute ischemic stroke, especially before and after intravenous thrombolysis with recombinant tissue plasminogen activator (rtPA), has not been elucidated. Thus, the aim of this study was to evaluate the effect of PLR before and after rtPA on clinical outcomes.Methods: A total of 582 consecutive patients who had acute ischemic stroke diagnosed and received intravenous thrombolysis with rtPA were included in this study. We collected demographics, vascular risk factors, previous history of drugs and other clinical information for all patients. Specifically, blood samples for PLR values were collected on admission and at 24 hours after stroke. Multivariate logistic regression analysis was used to assess the association between PLR with the risk of poor outcome (mRS≥3), death and hemorrhagic transformation (HT). Results: Of 582 patients, 191 (32.8%) had a poor outcome, 40 (6.9%) died and 82 (14.1%) had HT. After adjustment for potential confounders, multivariate logistic regression analysis showed that higher PLR at 24h after rtPA was independently associated with an increased risk of poor outcome (OR=1.004; 95% CI:1.001-1.007; P=0.009) and the occurrence of death (OR=1.009; 95% CI:1.004-1.013; P<0.001), but not associated with the risk of HT (OR=1.003; 95% CI:0.999-1.007; P=0.165). In addition, PLR on admission was not associated with the risk of poor outcome, death and HT (all P>0.05).Conclusions: We found that PLR at 24h after rtPA can predict the risk of poor outcome and death in acute ischemic stroke patients, but PLR on admission cannot.

scholarly journals High glycemic albumin representing prestroke glycemic variability is associated with hemorrhagic transformation in patients receiving intravenous thrombolysis

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Sang-Hwa Lee ◽  
Min Uk Jang ◽  
Yerim Kim ◽  
So Young Park ◽  
Chulho Kim ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Characteristic Curve ◽  
Glycated Albumin ◽  
Intravenous Thrombolysis ◽  
Predictive Ability ◽  
Glycemic Variability ◽  
Hemorrhagic Transformation ◽  
The Impact

AbstractWe evaluated the impact of prestroke glycemic variability estimated by glycated albumin (GA) on symptomatic hemorrhagic transformation (SHT) in patients with intravenous thrombolysis (IVT). Using a multicenter database, we consecutively enrolled acute ischemic stroke patients receiving IVT. A total of 378 patients were included in this study. Higher GA was defined as GA ≥ 16.0%. The primary outcome measure was SHT. Multivariate regression analysis and a receiver operating characteristic curve were used to assess risks and predictive ability for SHT. Among the 378 patients who were enrolled in this study, 27 patients (7.1%) had SHT as defined by the Safe Implementation of Thrombolysis in Stroke-Monitoring Study (SHTSITS). The rate of SHTSITS was higher in the higher GA group than in the lower GA group (18.0% vs. 1.6%, p < 0.001). A higher GA level (GA ≥ 16.0%) significantly increased the risk of SHTSITS (adjusted odds ratio [OR], [95% confidence interval, CI], 12.57 [3.08–41.54]) in the logistic regression analysis. The predictive ability of the GA level for SHTSITS was good (AUC [95% CI]: 0.83 [0.77–0.90], p < 0.001), and the cutoff value of GA in SHT was 16.3%. GA was a reliable predictor of SHT after IVT in acute ischemic stroke in this study.

Effect of Cardioembolic Etiology on Intravenous Thrombolysis Efficacy for Acute Ischemic Stroke

2016 ◽  
Vol 13 (3) ◽  
pp. 193-198 ◽  
Author(s):  
Sabrina Anticoli ◽  
Maria Cristina Bravi ◽  
Giovanni Perillo ◽  
Antonio Siniscalchi ◽  
Claudio Pozzessere ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Intravenous Thrombolysis

Association of admission leukocyte count with clinical outcomes in acute ischemic stroke patients undergoing intravenous thrombolysis with recombinant tissue plasminogen activator

2020 ◽  
Vol 17 ◽  
Author(s):  
Jie Chen ◽  
Fu-Liang Zhang ◽  
Shan Lv ◽  
Hang Jin ◽  
Yun Luo ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Plasminogen Activator ◽  
Tissue Plasminogen Activator ◽  
Leukocyte Count ◽  
Intravenous Thrombolysis ◽  
Recombinant Tissue Plasminogen Activator ◽  
Functional Independence ◽  
Tissue Plasminogen ◽  
Poor Outcomes

Objective:: Increased leukocyte count are positively associated with poor outcomes and all-cause mortality in coronary heart disease, cancer, and ischemic stroke. The role of leukocyte count in acute ischemic stroke (AIS) remains important. We aimed to investigate the association between admission leukocyte count before thrombolysis with recombinant tissue plasminogen activator (rt-PA) and 3-month outcomes in AIS patients. Methods:: This retrospective study included consecutive AIS patients who received intravenous (IV) rt-PA within 4.5 h of symptom onset between January 2016 and December 2018. We assessed outcomes including short-term hemorrhagic transformation (HT), 3-month mortality, and functional independence (modified Rankin Scale [mRS] score of 0–2 or 0–1). Results:: Among 579 patients who received IV rt-PA, 77 (13.3%) exhibited HT at 24 h, 43 (7.4%) died within 3 months, and 211 (36.4%) exhibited functional independence (mRS score: 0–2). Multivariable logistic regression revealed admission leukocyte count as an independent predictor of good and excellent outcomes at 3 months. Each 1-point increase in admission leukocyte count increased the odds of poor outcomes at 3 months by 7.6% (mRS score: 3–6, odds ratio (OR): 1.076, 95% confidence interval (CI): 1.003–1.154, p=0.041) and 7.8% (mRS score: 2–6, OR: 1.078, 95% CI: 1.006–1.154, p=0.033). Multivariable regression analysis revealed no association between HT and 3-month mortality. Admission neutrophil and lymphocyte count were not associated with 3-month functional outcomes or 3-month mortality. Conclusion:: Lower admission leukocyte count independently predicts good and excellent outcomes at 3 months in AIS patients undergoing rt-PA treatment.

scholarly journals Management of acute ischemic stroke in patients with COVID-19 infection: Report of an international panel

2020 ◽  
Vol 15 (5) ◽  
pp. 540-554 ◽  
Author(s):  
Adnan I Qureshi ◽  
Foad Abd-Allah ◽  
Fahmi Al-Senani ◽  
Emrah Aytac ◽  
Afshin Borhani-Haghighi ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Current Knowledge ◽  
Intravenous Thrombolysis ◽  
Adult Patients ◽  
World Health ◽  
Stroke Patients ◽  
International Panel ◽  
Health Organization ◽  
Tract Infections

Background and purpose On 11 March 2020, World Health Organization (WHO) declared the COVID-19 infection a pandemic. The risk of ischemic stroke may be higher in patients with COVID-19 infection similar to those with other respiratory tract infections. We present a comprehensive set of practice implications in a single document for clinicians caring for adult patients with acute ischemic stroke with confirmed or suspected COVID-19 infection. Methods The practice implications were prepared after review of data to reach the consensus among stroke experts from 18 countries. The writers used systematic literature reviews, reference to previously published stroke guidelines, personal files, and expert opinion to summarize existing evidence, indicate gaps in current knowledge, and when appropriate, formulate practice implications. All members of the writing group had opportunities to comment in writing on the practice implications and approved the final version of this document. Results This document with consensus is divided into 18 sections. A total of 41 conclusions and practice implications have been developed. The document includes practice implications for evaluation of stroke patients with caution for stroke team members to avoid COVID-19 exposure, during clinical evaluation and performance of imaging and laboratory procedures with special considerations of intravenous thrombolysis and mechanical thrombectomy in stroke patients with suspected or confirmed COVID-19 infection. Conclusions These practice implications with consensus based on the currently available evidence aim to guide clinicians caring for adult patients with acute ischemic stroke who are suspected of, or confirmed, with COVID-19 infection. Under certain circumstances, however, only limited evidence is available to support these practice implications, suggesting an urgent need for establishing procedures for the management of stroke patients with suspected or confirmed COVID-19 infection.

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