Simple prediction model for unfavorable outcome in ischemic stroke after intravenous thrombolytic therapy

ABSTRACT Objective We aimed to develop a model to predict unfavorable outcome in patients with acute ischemic stroke treated with intravenous thrombolytic therapy (IVT), based on simple variables present on admission. Methods Retrospective analysis of acute ischemic stroke patients treated with IVT in a hospital in Rio de Janeiro. Clinical and radiographic variables were selected for analysis. Multivariate logistic regression was used to develop a predictive model. Results We analyzed a total of 82 patients. Median National Institutes of Health Stroke Scale (NIHSS) on admission was 9 (3–22), 40.2% presented with a hyperdense artery sign (HAS), 62% had identifiable early parenchymal changes and 61.6% experienced a favorable outcome. An NIHSS score of > 12 on arrival, age > 70 and the presence of HAS were associated with the outcome, even after correction in a logistic regression model. Conclusion An NIHSS > 12 on arrival, presence of HAS and age > 70 years were predictors of unfavorable outcome at three months in patients with acute ischemic stroke treated with IVT.

Download Full-text

Study on the Baseline Factors and Platelet Indices That Predict Outcome of Acute Ischemic Stroke Patients after Thrombolytic Therapy

Cerebrovascular Diseases ◽

10.1159/000519705 ◽

2021 ◽

pp. 1-8

Author(s):

Yiqin Yao ◽

Xuejin Cao ◽

Rongcheng Zou ◽

Hongbo Wen ◽

Shiyao Zhang ◽

...

Keyword(s):

Logistic Regression ◽

Ischemic Stroke ◽

Thrombolytic Therapy ◽

Acute Ischemic Stroke ◽

Clinical Outcomes ◽

Functional Outcomes ◽

Multivariate Logistic Regression ◽

Stroke Patients ◽

Platelet Indices ◽

Baseline Factors

Background: The aim of the study was to investigate the baseline characters that influence 3-month clinical outcomes in patients with acute ischemic stroke (AIS) after thrombolytic therapy. Methods: We consecutively enrolled 241 AIS patients who are treated with thrombolytic therapy with recombinant tissue plasminogen activator. Baseline characters were measured on admission including the National Institutes of Health Stroke Scale (NIHSS), Trial of Org 10172 in Acute Stroke Treatment (TOAST), risk factors, platelet indices, and lipid parameters. The subjects were divided into good or poor functional outcomes based on modified Rankin Scale at 3 months. The multivariate logistic regression was performed to explore the association between baseline factors and outcomes. Pearson correlation was used to investigate whether linear associations existed between platelet indices in different outcomes. Results: Multivariate logistic regression analysis showed that the NIHSS, TOAST classification, diabetes, mean platelet volume (MPV) are important factors for predicting clinical outcomes after 3 months in AIS patients. We found a correlation between elevated MPV and worse outcome at 3 months, particularly in large-artery atherosclerosis stroke patients. MPV and platelet count are negative correlated (r = −0.375, p = 0.000). MPV and platelet-to-lymphocyte ratio (PLR) (r = 0.83, p = 0.000), MPV and platelet distribution width (PDW) (r = 0.820, p = 0.000) both have highly positive linear correlations in patients with good outcome. Conclusions: Overall, lower NIHSS and MPV levels on admission were predictors of good functional outcomes in patients with AIS after undergoing thrombolytic therapy. The correlations between MPV, PDW, and PLR may be helpful to evaluate prognosis in stroke patients and deserve further exploration.

Download Full-text

Dysphagia in Patients with Acute Ischemic Stroke: Early Dysphagia Screening May Reduce Stroke-Related Pneumonia and Improve Stroke Outcomes

Cerebrovascular Diseases ◽

10.1159/000445299 ◽

2016 ◽

Vol 42 (1-2) ◽

pp. 81-89 ◽

Cited By ~ 28

Author(s):

Mohamed Al-Khaled ◽

Christine Matthis ◽

Andreas Binder ◽

Jonas Mudter ◽

Joern Schattschneider ◽

...

Keyword(s):

Logistic Regression ◽

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Case Fatality ◽

National Institutes Of Health ◽

Modified Rankin Scale ◽

Stroke Patients ◽

Stroke Outcomes ◽

Increased Risk ◽

Reduced Risk

Background: Dysphagia is associated with poor outcome in stroke patients. Studies investigating the association of dysphagia and early dysphagia screening (EDS) with outcomes in patients with acute ischemic stroke (AIS) are rare. The aims of our study are to investigate the association of dysphagia and EDS within 24 h with stroke-related pneumonia and outcomes. Methods: Over a 4.5-year period (starting November 2007), all consecutive AIS patients from 15 hospitals in Schleswig-Holstein, Germany, were prospectively evaluated. The primary outcomes were stroke-related pneumonia during hospitalization, mortality, and disability measured on the modified Rankin Scale ≥2-5, in which 2 indicates an independence/slight disability to 5 severe disability. Results: Of 12,276 patients (mean age 73 ± 13; 49% women), 9,164 patients (74%) underwent dysphagia screening; of these patients, 55, 39, 4.7, and 1.5% of patients had been screened for dysphagia within 3, 3 to <24, 24 to ≤72, and >72 h following admission. Patients who underwent dysphagia screening were likely to be older, more affected on the National Institutes of Health Stroke Scale score, and to have higher rates of neurological symptoms and risk factors than patients who were not screened. A total of 3,083 patients (25.1%; 95% CI 24.4-25.8) had dysphagia. The frequency of dysphagia was higher in patients who had undergone dysphagia screening than in those who had not (30 vs. 11.1%; p < 0.001). During hospitalization (mean 9 days), 1,271 patients (10.2%; 95% CI 9.7-10.8) suffered from stroke-related pneumonia. Patients with dysphagia had a higher rate of pneumonia than those without dysphagia (29.7 vs. 3.7%; p < 0.001). Logistic regression revealed that dysphagia was associated with increased risk of stroke-related pneumonia (OR 3.4; 95% CI 2.8-4.2; p < 0.001), case fatality during hospitalization (OR 2.8; 95% CI 2.1-3.7; p < 0.001) and disability at discharge (OR 2.0; 95% CI 1.6-2.3; p < 0.001). EDS within 24 h of admission appeared to be associated with decreased risk of stroke-related pneumonia (OR 0.68; 95% CI 0.52-0.89; p = 0.006) and disability at discharge (OR 0.60; 95% CI 0.46-0.77; p < 0.001). Furthermore, dysphagia was independently correlated with an increase in mortality (OR 3.2; 95% CI 2.4-4.2; p < 0.001) and disability (OR 2.3; 95% CI 1.8-3.0; p < 0.001) at 3 months after stroke. The rate of 3-month disability was lower in patients who had received EDS (52 vs. 40.7%; p = 0.003), albeit an association in the logistic regression was not found (OR 0.78; 95% CI 0.51-1.2; p = 0.2). Conclusions: Dysphagia exposes stroke patients to a higher risk of pneumonia, disability, and death, whereas an EDS seems to be associated with reduced risk of stroke-related pneumonia and disability.

Download Full-text

A COACHS Nomogram to Predict the Probability of Three-Month Unfavorable Outcome after Acute Ischemic Stroke in Chinese Patients

Cerebrovascular Diseases ◽

10.1159/000497243 ◽

2019 ◽

Vol 47 (1-2) ◽

pp. 80-87 ◽

Cited By ~ 2

Author(s):

BaiLi Song ◽

YuKai Liu ◽

Linda Nyame ◽

XiangLiang Chen ◽

Teng Jiang ◽

...

Keyword(s):

Logistic Regression ◽

Heart Disease ◽

Ischemic Stroke ◽

Blood Glucose ◽

Acute Ischemic Stroke ◽

Valvular Heart Disease ◽

Cerebral Hemorrhage ◽

Unfavorable Outcome ◽

Stroke Patients ◽

Lemeshow Test

Background: Accurate prognostication of unfavorable outcome made at the early onset of stroke is important to both the clinician and the patient management. This study was aimed to develop a nomogram based on the integration of parameters to predict the probability of 3-month unfavorable functional outcome in Chinese acute ischemic stroke patients. Methods: We retrospectively collected patients who underwent acute ischemic stroke at Stroke Center of the Nanjing First Hospital (China) between May 2013 and May 2018. After exclusion, the study population includes 1,025 patients for nomogram development. The main outcome measure was 3-month unfavorable outcome (modified Rankin Scale > 2). Multivariable logistic regression analysis was used to develop the predicting model, and stepwise logistic regression with the Akaike information criterion was utilized to find best-fit nomogram model. We incorporated the creatinine, fast blood glucose, age, previous cerebral hemorrhage, previous valvular heart disease, and NHISS score (COACHS), and these factors were presented with a nomogram. We assessed the discriminative performance by using the area under curve (AUC) of receiver-operating characteristic (ROC) and calibration of risk prediction model by using the Hosmer-Lemeshow test. Results: Multivariate analysis of the 1,025 patients for logistic regression helped identify the independent factors as National Institutes of Health Stroke Scale score on admission, age, previous valvular heart disease, fasting blood glucose, creatinine, and previous cerebral hemorrhage, which were included in the COACHS nomogram. The AUC-ROC of nomogram was 0.799. Calibration was good (p = 0.1376 for the Hosmer-Lemeshow test). Conclusions: The COACHS nomogram may be used to predict unfavorable outcome at 3 months after acute ischemic stroke in Chinese population. It may be also a reliable tool that is effective in its clinical utilization to risk-stratify acute stroke patients.

Download Full-text

Insulin resistance may affect the functional recovery of acute ischemic stroke in non-diabetic patients

10.21203/rs.3.rs-17241/v1 ◽

2020 ◽

Author(s):

Yoonkyung Chang ◽

Chi Kyung Kim ◽

Min-Kyung Kim ◽

Woo‐Keun Seo ◽

Kyungmi Oh

Keyword(s):

Insulin Resistance ◽

Logistic Regression ◽

Ischemic Stroke ◽

Blood Glucose ◽

Acute Ischemic Stroke ◽

Functional Recovery ◽

Diabetic Patients ◽

Model Assessment ◽

Multivariate Logistic Regression ◽

Stroke Patients

Abstract Background Insulin resistance is associated with the occurrence of stroke and atherosclerotic disease. However, the relationship between insulin resistance and the prognosis of acute ischemic stroke in nondiabetic patients is unclear. We hypothesized that insulin resistance may affect short-term functional recovery after acute ischemic stroke in nondiabetic patients. Methods Between May 2014 and December 2016, 1377 consecutive patients with acute ischemic stroke were enrolled from a prospectively maintained stroke registry. After excluding patients with transient ischemic attacks (TIA), pre-stroke disabilities, diabetes mellitus, and patients with incomplete evaluations, 517 patients were included in the study. The homeostasis model assessment of insulin resistance (HOMA-IR) score was used to evaluate the degree of insulin resistance. The factors associated with poor functional outcomes were analyzed using multivariate logistic regression. Results The patients with the highest quartile of log HOMA-IR index scores were younger and had higher fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein, and HbA1c levels. Multivariate logistic regression analysis revealed that log HOMA-IR scores were independently associated with poor prognosis after adjusting for age and sex and p < 0.1 in univariate analysis. Conclusion Insulin resistance measured by the HOMA-IR index was associated with the poor functional outcome of non-diabetic stroke patients. This evidence supports treating insulin resistance in acute ischemic stroke patients with blood glucose levels within the normal range.

Download Full-text

ASPECTS discrepancies between CT and MR imaging: analysis and implications for triage protocols in acute ischemic stroke

Journal of NeuroInterventional Surgery ◽

10.1136/neurintsurg-2015-012188 ◽

2016 ◽

Vol 9 (3) ◽

pp. 240-243 ◽

Cited By ~ 8

Author(s):

Ferdinand K Hui ◽

Nancy A Obuchowski ◽

Seby John ◽

Gabor Toth ◽

Irene Katzan ◽

...

Keyword(s):

Logistic Regression ◽

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Diffusion Weighted Imaging ◽

Multivariate Analyses ◽

National Institutes Of Health ◽

Imaging Analysis ◽

Multivariate Logistic Regression ◽

The Cost ◽

Optimal Imaging

BackgroundOptimal imaging triage for intervention for large vessel occlusions remains unclear. MR-based imaging provides ischemic core volumes at the cost of increased imaging time. CT Alberta Stroke Program Early CT Score (ASPECTS) estimates are faster, but may be less sensitive.ObjectiveTo assesses the rate at which MRI changed management in comparison with CT imaging alone.MethodsRetrospective analysis of patients with acute ischemic stroke undergoing imaging triage for endovascular therapy was performed between 2008 and 2013. Univariate and multivariate analyses were performed. Multivariate logistic regression was used to evaluate the effect of time on disagreement in MRI and CT ASPECTS scores.ResultsA total of 241 patients underwent both diffusion-weighted imaging (DWI) and CT. Six patients with DWI ASPECTS ≥6 and CT ASPECTS <6 were omitted, leaving 235 patients. For 47 patients, disagreement between the two modalities resulted in different treatment recommendations. The estimated probability of disagreement was 20.0% (95% CI 15.4% to 25.6%). In a multivariate logistic regression, CT ASPECTS >7 (p=0.004) and admission National Institutes of Health Stroke Scale (NIHSS) score <16 (p=0.008) were simultaneously significant predictors of agreement in ASPECTS. The time between modalities was a marginally significant predictor (p=0.080).ConclusionsThe study suggests that patients with NIHSS scores at admission of <16 and patients with CT ASPECTS >7 have a higher likelihood of agreement between CT and DWI based on an ASPECTS cut-off value of 6. Additional MRI for triage in patients with NIHSS at admission of >16, and ASPECTS of 6 or 7 may be more likely to change management. Unsurprisingly, patients with low CT ASPECTS had good correlation with MRI ASPECTS.

Download Full-text

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

Narra J ◽

10.52225/narra.v1i3.50 ◽

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.

Download Full-text

Clot composition of embolic strokes of undetermined source: a feasibility study

BMC Neurology ◽

10.1186/s12883-020-01969-w ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Amre Nouh ◽

Tapan Mehta ◽

Mohamed Hussain ◽

Xianyuan Song ◽

Martin Ollenschleger

Keyword(s):

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Mechanical Thrombectomy ◽

National Institutes Of Health ◽

Carotid Dissection ◽

Stroke Patients ◽

Stroke Etiology ◽

The Mean ◽

Undetermined Etiology ◽

A Prospective Study

Abstract Background A number of emerging studies have evaluated clot composition in acute ischemic stroke. Studies of clot composition of embolic strokes of undetermined strokes are lacking. Objectives We sought to analyze the RBC to platelet ratios in clots and correlated our findings with stroke etiology. Methods This was a prospective study analyzing clots retrieved by mechanical thrombectomy in acute ischemic stroke patients at our institution. All clots were stained and scanned at 200x magnification by using a Scanscope XT digital scanner (Apergio, Vista, California). Image-J software (National Institutes of Health, Bethesda, Maryland) was used for semi quantitative analysis of percentage RBC’s and platelets. Unpaired t-test was used to compare means of RBC to Platelet ratios. Correlation of RBC to Platelet ratios with stroke etiology was performed. Results A total of 33 clots from 33 patients were analyzed. Stroke etiology was undetermined in 6 patients, cardioembolic in 14, large vessel atherosclerosis (LVA) in 9, and carotid dissection in 4. The mean RBC to platelet ratio was 0.78:1 (+/− 0.65) in cardioembolic clots, 1.73:1 (+/− 2.38) in LVA and 1.4:1(+/− 0.70) in carotid dissections. Although patients with undetermined etiology had a similar clot composition to cardioembolic stroke (0.36:1+/− 0.33), (p = 0.19), it differed significantly from LVA and dissections respectively (p = 0.037, p = 0.01). Conclusion In our study, a low RBC to Platelet ratio was found among patients with embolic strokes of undetermined source, however shared similar characteristics with cardioembolic thrombi. Ongoing collection and analysis is needed to confirm these findings and its significance in evaluating stroke etiology.

Download Full-text