Feasibility of platelet marker analysis in ischemic stroke patients and their association with one-year outcome. A pilot project within a subsample of the Stroke Induced Cardiac Failure in Mice and Men (SICFAIL) cohort study

Platelets ◽  
2021 ◽  
pp. 1-9
Author(s):  
Mert Seyhan ◽  
Kathrin Ungethüm ◽  
Michael K. Schuhmann ◽  
Daniel Mackenrodt ◽  
Viktoria Rücker ◽  
...  
Keyword(s):  
Cohort Study ◽  
Ischemic Stroke ◽  
Cardiac Failure ◽  
Pilot Project ◽  
Stroke Patients ◽  
Marker Analysis ◽  
One Year

Abstract P670: Obesity and Mortality After the First Ischemic Stroke: Is Obesity Paradox Real?

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Durgesh Chaudhary ◽  
Ayesha Khan ◽  
Mudit Gupta ◽  
Yirui Hu ◽  
Jiang Li ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Proportional Hazards Model ◽  
Obesity Paradox ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Obese Patients ◽  
Stroke Patients ◽  
Stroke Event ◽  
One Year ◽  
First Time

Introduction: Obesity is an established risk factor for ischemic stroke but the association of increased body mass index (BMI) with survival after ischemic stroke remains controversial. Many studies have shown that increased BMI has a “protective” effect on survival after stroke while other studies have debunked the obesity paradox. This study aimed at examining the relationship between BMI and all-cause mortality at one year in first-time ischemic stroke patients using data extracted from different resources including electronic health records. Methods: We analyzed consecutive ischemic stroke patients captured in the Geisinger NeuroScience Ischemic Stroke (GNSIS) database. Survival in first-time ischemic stroke patients was analyzed using Kaplan-Meier estimator, stratified by different BMI categories. The predictors of mortality at one-year were assessed using a multivariate Cox proportional hazards model. Results: Among 6,703 first-time adult ischemic stroke patients, mean age was 70.2 ±13.5 years and 52% were men. Of these patients, 24% patients were non-overweight (BMI < 25), 34% were overweight (BMI 25-29.9) and 41% were obese (BMI ≥ 30). One-year survival probability was significantly higher in overweight patients (87%, 95% CI: [85.6 - 88.4], p<0.001) and obese patients (89.5%, 95% CI: [88.4 - 90.7], p<0.001) compared to non-overweight patients (78.1%, 95% CI: [76.0 - 80.1]). In multivariate analysis, one-year mortality was significantly lower in overweight and obese patients (overweight patients- HR = 0.61 [95% CI, 0.52 - 0.72]; obese patients- HR = 0.56 [95% CI, 0.48 - 0.67]). Other significant predictors of one-year mortality were age at the ischemic stroke event (HR = 1.04 [95% CI, 1.03 - 1.04]), history of neoplasm (HR = 1.59 [95% CI, 1.38 - 1.85]), atrial fibrillation or flutter (HR = 1.26 [95% CI, 1.09 - 1.46]), heart failure (HR = 1.68 [95% CI, 1.42 - 1.98]), diabetes mellitus (HR = 1.27 [95% CI, 1.1 - 1.47]), rheumatic disease (HR = 1.37 [95% CI, 1.05 - 1.78]) and myocardial infarction ((HR = 1.23 [95% CI, 1.02 - 1.48]). Conclusion: Our results support the obesity paradox in ischemic stroke patients as shown by a significantly decreased hazard ratio for one-year mortality among overweight and obese patients in comparison to non-overweight patients.

Predictors of Participation in Supervised Therapy by Post-Stroke Patients in The Singapore Community: A One-Year Cohort Study

2016 ◽  
Vol 97 (10) ◽  
pp. e8
Author(s):  
Gerald Choon-Huat Koh ◽  
Denise Yan-Yin Lim ◽  
Steven Liben Zhang ◽  
Cynthia Chen Huijun ◽  
Sanjiv Kishore Saxena ◽  
...  
Keyword(s):  
Cohort Study ◽  
Stroke Patients ◽  
Post Stroke ◽  
One Year

Abstract TP160: Predicting Bone Fracture After Stroke—The Fracture Risk After Ischemic Stroke (FRAC-Stroke) Score

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Eric E Smith ◽  
Jiming Fang ◽  
Shabbir M Alibhai ◽  
Peter M Cram ◽  
Angela M Cheung ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Fracture Risk ◽  
Risk Score ◽  
Cumulative Incidence ◽  
Population Based ◽  
World Health ◽  
Stroke Severity ◽  
Stroke Patients ◽  
One Year ◽  
Low Trauma Fracture

Background: Risk for low trauma fracture is increased by >30% after ischemic stroke. Additionally, in the IRIS trial pioglitazone therapy prevented ischemic stroke but increased fracture risk. We derived a risk score to predict risk of fracture one year after ischemic stroke. Methods: The Fracture Risk after Ischemic Stroke (FRAC-Stroke) Score was derived in 20,435 ischemic stroke patients from the Ontario Stroke Registry discharged from 2003-2012, using Fine-Gray competing risk regression. Candidate variables were medical conditions included in the validated World Health Organization FRAX risk score complemented by variables related to stroke severity. Registry patients were linked to population-based Ontario health administrative data to identify low trauma fractures (defined as any fracture of the femur, forearm, humerus, pelvis or vertebrae, excluding fractures resulting from trauma, motor vehicle accidents, falls from a height or in people with active cancer). The score was externally validated in 13,698 other ischemic stroke patients in the population-based Ontario stroke audit (2002-2012). Results: Mean age was 72; 42% were women. Low trauma fracture occurred within 1 year of discharge in 741/20435 (3.6%); cumulative incidence increased linearly throughout follow-up. Age, discharge modified Rankin score (mRS), and history of arthritis, osteoporosis, falls and previous fracture contributed significantly to the model. Model discrimination was good (c statistic 0.72). Including discharge mRS significantly improved discrimination (relative integrated discrimination index 8.7%). Fracture risk was highest in patients with mRS 3 and 4 but lowest in bedbound patients (mRS 5). From the lowest to the highest FRAC-Stroke quintile the cumulative incidence of 1-year low trauma fracture increased from 1% to 9%. Predicted and observed rates of fracture were similar in the external validation cohort. Conclusion: The FRAC-Stroke score allows the clinician to identify ischemic stroke patients at higher risk of low trauma fracture within one year. This information might be used to target patients for early bone densitometry screening to diagnose and manage osteoporosis, and to estimate baseline risk prior to starting pioglitazone therapy.

Incidence and predictors of left atrium thrombus in acute ischemic stroke patients without atrial fibrillation: a single center cohort study

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Cinar ◽  
M.I Hayiroglu ◽  
V Cicek ◽  
S Asal ◽  
M.M Atmaca ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cohort Study ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Left Atrium ◽  
Characteristic Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Single Center ◽  
Stroke Patients ◽  
Previous Diagnosis

Abstract Introduction The present study aimed to determine independent predictors of left atrial thrombus (LAT) in acute ischemic stroke patients without atrial fibrillation (AF) using transesophageal echocardiography (TEE). Material and methods In this single center, retrospective cohort study, we enrolled 149 consecutive acute ischemic stroke patients. All of the patients underwent TEE examination to detect LAT within 10 days following admission. Multivariate logistic regression analysis was performed to assess independent predictors of LAT. Results Among all cases, 14 patients (9.3%) had a diagnosis of LAT on TEE examination. In a multivariate analysis; a previous diagnosis of cerebrovascular accident, elevated mean platelet volume (MPV), low left ventricle ejection fraction (EF) and a reduced left atrium appendix (LAA) peak emptying velocity were independent predictors of LAT. The area of MPV under the receiver operating characteristic curve analysis was 0.70 (95% CI: 0.57–0.83; p=0.011). With the optimal cut-off value of 9.45, MPV had a sensitivity of 71.4% and a specificity of 63% to predict LAT. Conclusion Patients with low ventricle EF and elevated MPV should undergo further TEE examination for the possibility of cardio-embolic source. In addition, this research may provide novel information with respect to the applicability of MPV to predict LAT in acute ischemic stroke patients without AF. Figure 1 Funding Acknowledgement Type of funding source: None

scholarly journals Ipsilateral internal carotid artery web and acute ischemic stroke: A cohort study, systematic review and meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257697
Author(s):  
Brian Mac Grory ◽  
Erez Nossek ◽  
Michael E. Reznik ◽  
Matthew Schrag ◽  
Mahesh Jayaraman ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cohort Study ◽  
Ischemic Stroke ◽  
Carotid Artery ◽  
Acute Ischemic Stroke ◽  
Meta Analysis ◽  
Cryptogenic Stroke ◽  
Young Patients ◽  
Carotid Bifurcation ◽  
Stroke Patients

Introduction The carotid web is a compelling potential mechanism of embolic ischemic stroke. In this study, we aim to determine the prevalence of ipsilateral carotid web in a cohort of ischemic stroke patients and to perform a systematic review and meta-analysis of similar cohorts. Patients & methods We performed a retrospective, observational, cohort study of acute ischemic stroke patients admitted to a comprehensive stroke center from June 2012 to September 2017. Carotid web was defined on computed tomography angiography (CTA) as a thin shelf of non-calcified tissue immediately distal to the carotid bifurcation. We described the prevalence of carotid artery webs in our cohort, then performed a systematic review and meta-analysis of similar cohorts in the published literature. Results We identified 1,435 potentially eligible patients of whom 879 met criteria for inclusion in our analysis. An ipsilateral carotid web was detected in 4 out of 879 (0.45%) patients, of which 4/4 (1.6%) were in 244 patients with cryptogenic stroke and 3/4 were in 66 (4.5%) patients <60 years old with cryptogenic stroke. Our systematic review yielded 3,192 patients. On meta-analysis, the pooled prevalence of ipsilateral carotid web in cryptogenic stroke patients <60 was 13% (95% CI: 7%-22%; I2 = 66.1%). The relative risk (RR) of ipsilateral versus contralateral carotid web in all patients was 2.5 (95% CI 1.5–4.2, p = 0.0009) whereas in patients less than 60 with cryptogenic stroke it was 3.0 (95% CI 1.6–5.8, p = 0.0011). Discussion Carotid webs are more common in young patients with cryptogenic stroke than in other stroke subtypes. Future studies concerning the diagnosis and secondary prevention of stroke associated with carotid web should focus on this population.

scholarly journals Post-stroke Hyperglycemia in Non-diabetic Ischemic Stroke is Related With Worse Functional Outcome: A Cohort Study

2021 ◽  
Vol 45 (5) ◽  
pp. 359-367
Author(s):  
Jin A Yoon ◽  
Yong-Il Shin ◽  
Deog Young Kim ◽  
Min Kyun Sohn ◽  
Jongmin Lee ◽  
...  
Keyword(s):  
Cohort Study ◽  
Ischemic Stroke ◽  
Glucose Level ◽  
Functional Outcomes ◽  
Stroke Patients ◽  
Nihss Score ◽  
Post Stroke ◽  
Significant Difference ◽  
Functional Assessments

Objective To investigate long-term and serial functional outcomes in ischemic stroke patients without diabetes with post-stroke hyperglycemia.Methods The Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) is a large, multi-center, prospective cohort study of stroke patients admitted to participating hospitals in nine areas of Korea. From KOSCO, ischemic stroke patients without diabetes were recruited and divided into two groups: patients without diabetes without (n=779) and with post-stroke hyperglycemia (n=223). Post-stroke hyperglycemia was defined as a glucose level >8 mmol/L. Functional assessments were performed 7 days and 3, 6, and 12 months after stroke onset.Results There were no significant differences in baseline characteristics between the groups, except in the age of onset and smoking. Analysis of the linear correlation between the initial National Institutes of Health Stroke Scale (NIHSS) score and glucose level showed no significant difference. Among our functional assessments, NIHSS, Fugl-Meyer Assessment (affected side), Functional Ambulatory Category, modified Rankin Scale, and Korean Mini-Mental State Examination (K-MMSE) showed statistically significant improvements in each group. All functional improvements except K-MMSE were significantly higher in patients without post-stroke hyperglycemia at 7 days and 3, 6, and 12 months.Conclusion The glucose level of ischemic stroke patients without diabetes had no significant correlation with the initial NIHSS score. The long-term effects of stress hyperglycemia showed worse functional outcomes in ischemic stroke patients without diabetes with post-stroke hyperglycemia.

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