Abstract TMP57: The Influence of Telomere Length on Ischemic Stroke Risk and Phenotype

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Ezgi Yetim ◽  
Mehmet A Topcuoglu ◽  
Nuket Yurur Kutlay ◽  
Ajlan Tukun ◽  
Kader K Oguz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Telomere Length ◽  
Significant Relationship ◽  
Stroke Risk ◽  
Prior History ◽  
Lesion Volume ◽  
Nihss Score ◽  
Stroke Etiology ◽  
Age Related

Background: Telomeres are specific nucleotide repeats that play a central role in control of DNA damage related to cell division and aging. The degree of telomere shortening that occurs as part of aging is associated with age-related non-cancer diseases like hypertension, diabetes mellitus and coronary artery disease. Although a number of studies have highlighted that a similar relationship might exist with ischemic stroke, contradictory reports are also present in the literature. In this study we investigated the association between telomere length and ischemic stroke, not only in terms of stroke risk in general, but also from the perspective of stroke etiology and severity. Methods: In a Caucasian cohort, telomere length was determined by Southern blot from peripheral blood leukocytes in 163 consecutive ischemic stroke patients, and 210 controls without any prior history of ischemic stroke. Univariate and multivariate analyses were performed to determine the contribution of telomere length to stroke risk, stroke etiology, admission NIHSS score and DWI lesion volume. Results: The median (interquartile range) telomere length was 7.0 (5.5-9.0) kb in the overall population. Expectedly, telomere length was negatively correlated with aging (r=-0.23; p<0.001). A short telomere length (i.e. lowest quartile; ≤5.5 kb) was significantly associated with ischemic stroke (OR 3.0, 95%CI 1.8-5.1) when adjusted for age, gender and cardiovascular risk factors. This significant relationship persisted for all stroke etiologies, except for other rare causes of stroke. There was no significant relationship between admission lesion volume and telomere length; however, patients with short telomeres presented with more severe strokes (NIHSS score ≥16) when adjusted for age, risk factors, stroke etiology and infarct volume (OR 7.0; 95%CI 1.7-28.7). Conclusion: Almost all etiologic subtypes of ischemic stroke are related to shortened telomere length, irrespective of the age of the subject. Furthermore, presence of short telomeres negatively influences the tolerance of brain to ischemia, thereby causing more severe clinical phenotypes in these patients in the setting of ischemic stroke.

scholarly journals Epidemiology, Risk Factors, and Predictors of Disability in a Cohort of Jordanian Patients with the First Ischemic Stroke

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Majdi Al Qawasmeh ◽  
Belal Aldabbour ◽  
Aiman Momani ◽  
Deema Obiedat ◽  
Kefah Alhayek ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Length Of Stay ◽  
Large Artery ◽  
Median Length ◽  
Nihss Score ◽  
Prolonged Length ◽  
Independent Variables ◽  
Stroke Etiology ◽  
The Mean

Objective. To identify the risk factors, etiologies, length of stay, severity, and predictors of disability among patients with the first ischemic stroke in Jordan. Methods. A retrospective cohort study of 142 patients who were admitted to the Neurology Department at King Abdullah University Hospital between July/2017 and March/2018 with a first ischemic stroke. Etiology was classified according to the TOAST criteria. Severity was represented by NIHSS score, disability by mRS score, and prolonged length of stay as hospitalizations more than 75th percentile of the cohort’s median length of stay. Analysis of the sample demographics and descriptive statistics were done, including frequencies of prevalence of independent variables (risk factors) and frequencies of stroke and etiology work-up. Chi-square and univariate analysis of variance “ANOVA” were used to investigate the relationship between risk factors and type of stroke. Finally, logistic regression analysis was used to measure the contribution of each of the independent variables. IRB approval was obtained as necessary. Results. The mean age for the cohort was 66.5 years. The most common risk factors were hypertension (78.8%), diabetes mellitus (60.5%), and ischemic heart disease (29.4%). The most common stroke etiology was small-vessel occlusion (54.2%). Median length of stay was 4 days. Prolonged length of stay was observed in 23.23% of patients, which was associated with several factors, the most common of which were persistent dysphagia (57.5%), nosocomial infection (39.3%), and combined dysphagia and nosocomial infection (21.2%). The mean admission NIHSS score was 7.94, and on discharge was 5.76. In-hospital mortality was 2.81%, while 50% of patients had a favorable outcome on discharge (mRS score between 0-2). The mean discharge mRS score for the cohort was 2.47 (SD±1.79). Large artery atherosclerosis was associated with the highest residual disability with a mean score of 3.67 (SD±1.88), while the stroke of undetermined etiology was associated with the lowest residual disability with a mean score of 1.60 (SD±1.78). Significant predictors of mRS score were smoking (t 3.24, P<0.001), age (t 1.98, P<0.049), and NIHSS score (t 9.979, P 0.000). Conclusion. Ischemic strokes have different etiologies that are associated with different levels of impact on the patient’s clinical status and prognosis. Large artery atherosclerosis was associated with the highest residual disability. Regarding predictors of prognosis, current smoking status, age above 50, gender, and NIHSS on admission appear to be the strongest predictors of prognosis. Finally, higher NIHSS score on admission resulted in a longer hospital stay.

Pre-Admission CHADS2 and CHA2DS2-VASc Scores on Early Neurological Worsening

2021 ◽  
pp. 1-8
Author(s):  
Ki-Woong Nam ◽  
Chi Kyung Kim ◽  
Sungwook Yu ◽  
Jong-Won Chung ◽  
Oh Young Bang ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Stroke Risk ◽  
Multivariable Analysis ◽  
National Institutes Of Health ◽  
Risk Scores ◽  
Stroke Patients ◽  
Nihss Score ◽  
Early Neurological Deterioration ◽  
Close Relationship ◽  
The Relationship

<b><i>Background:</i></b> Stroke risk scores (CHADS<sub>2</sub> and CHA<sub>2</sub>DS<sub>2</sub>-VASc) not only predict the risk of stroke in atrial fibrillation (AF) patients, but have also been associated with prognosis after stroke. <b><i>Objective:</i></b> The aim of this study was to evaluate the relationship between stroke risk scores and early neurological deterioration (END) in ischemic stroke patients with AF. <b><i>Methods:</i></b> We included consecutive ischemic stroke patients with AF admitted between January 2013 and December 2015. CHADS<sub>2</sub> and CHA<sub>2</sub>DS<sub>2</sub>-VASc scores were calculated using the established scoring system. END was defined as an increase ≥2 on the total National Institutes of Health Stroke Scale (NIHSS) score or ≥1 on the motor NIHSS score within the first 72 h of admission. <b><i>Results:</i></b> A total of 2,099 ischemic stroke patients with AF were included. In multivariable analysis, CHA<sub>2</sub>DS<sub>2</sub>-VASc score (adjusted odds ratio [aOR] = 1.17, 95% confidence interval [CI] = 1.04–1.31) was significantly associated with END after adjusting for confounders. Initial NIHSS score, use of anticoagulants, and intracranial atherosclerosis (ICAS) were also found to be closely associated with END, independent of the CHA<sub>2</sub>DS<sub>2</sub>-VASc score. Multivariable analysis stratified by the presence of ICAS demonstrated that both CHA<sub>2</sub>DS<sub>2</sub>-VASc (aOR = 1.20, 95% CI = 1.04–1.38) and CHADS<sub>2</sub> scores (aOR = 1.24, 95% CI = 1.01–1.52) were closely related to END in only patients with ICAS. In patients without ICAS, neither of the risk scores were associated with END. <b><i>Conclusions:</i></b> High CHA<sub>2</sub>DS<sub>2</sub>-VASc score was associated with END in ischemic stroke patients with AF. This close relationship is more pronounced in patients with ICAS.

Abstract WP182: Trends in Acute Ischemic Stroke Hospitalizations and Risk Factors Among Young Adults: 12 Years of Nationally Representative Data

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Urvish K Patel ◽  
Priti Poojary ◽  
Vishal Jani ◽  
Mandip S Dhamoon
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Young Adults ◽  
Ischemic Stroke ◽  
Length Of Stay ◽  
Acute Ischemic Stroke ◽  
Stroke Risk ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Stroke Risk Factors

Background: There is limited recent population-based data of trends in acute ischemic stroke (AIS) hospitalization rates among young adults (YA). Rising prevalence of stroke risk factors may increase stroke rates in YA. We hypothesized that 1) stroke hospitalizations and mortality among YA are increasing over time (2000-2011), 2) besides traditional stroke risk factors, non-traditional factors are associated with stroke in YA, 3) stroke hospitalization among YA is associated with higher mortality, length of stay (LOS), and cost. Methods: In the Nationwide Inpatient Sample database (years 2000-2011), adult hospitalizations for AIS and concurrent diagnoses were identified by ICD-9-CM codes; the analytic cohort constituted all AIS hospitalizations. We performed weighted analysis using chi-square, t-test, and Jonckheere trend test. Multivariable survey regression models evaluated interactions between age group (18-45 vs. >45 years) and traditional and non-traditional risk factors, with outcomes including mortality, LOS, and cost. Models were adjusted for race, sex, Charlson’s Comorbidity Index, primary payer, location and teaching status of hospital, and admission day. Results: Among 5220960 AIS hospitalizations, 231858 (4.4%) were YA. On trend analysis, proportion of YA amongst AIS increased from 3.6% in 2000 to 4.7% in 2011 (p<0.0001) but mortality in YA decreased from 3.7% in 2000 to 2.6% in 2011, compared to 7.1% in 2000 to 4.6% in 2011 (p<0.0001) among older adults. Non-traditional, especially behavioral, risk factors were more common among YA, and LOS and cost were higher (Table). Conclusion: There was a trend for higher proportion of YA among AIS hospitalizations, though there was a decreasing mortality trend over 10 years. Behavioral risk factors were more common among YA, and there was an increased length of stay and cost. AIS in YA may require different preventive approaches compared to AIS among older adults.

Abstract T P136: Potential Contributors to the Declining Impact of Stroke Risk Factors with Age: Implications for Stroke Epidemiology in the Elderly

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
George Howard ◽  
Mary Cushman ◽  
Maciej Banach ◽  
Brett M Kissela ◽  
David C Goff ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Stroke Risk ◽  
Multivariable Analysis ◽  
The Elderly ◽  
Stroke Risk Factors ◽  
Age Related ◽  
Increased Risk ◽  
The Impact ◽  
Age Related Changes

Purpose: The importance of stroke research in the elderly is increasing as America is “graying.” For most risk factors for most diseases (including stroke), the magnitude of association with incident events decreases at older ages. Potential changes in the impact of risk factors could be a “true” effect, or could be due to methodological issues such as age-related changes in residual confounding. Methods: REGARDS followed 27,748 stroke-free participants age 45 and over for an average of 5.3 years, during which 715 incident strokes occurred. The association of the “Framingham” risk factors (hypertension [HTN], diabetes, smoking, AFib, LVH and heart disease) with incident stroke risk was assessed in age strata of 45-64 (Young), 65-74 (Middle), and 75+ (Old). For those with and without an “index” risk factor (e.g., HTN), the average number of “other” risk factors was calculated. Results: With the exception of AFib, there was a monotonic decrease in the magnitude of the impact across the age strata, with HTN, diabetes, smoking and LVH even becoming non-significant in the elderly (Figure 1). However, for most factors, the increasing prevalence of other risk factors with age impacts primarily those with the index risk factor absent (Figure 2, example HTN as the “index” risk factor). Discussion: The impact of stroke risk factors substantially declined at older ages. However, this decrease is partially attributable to increases in the prevalence of other risk factors among those without the index risk factor, as there was little change in the prevalence of other risk factors in those with the index risk factor. Hence, the impact of the index risk factor is attenuated by increased risk in the comparison group. If this phenomenon is active with latent risk factors, estimates from multivariable analysis will also decrease with age. A deeper understanding of age-related changes in the impact of risk factors is needed.

Abstract T P153: Women and Men with Ischemic Stroke in SiGN Have Different Subtype Distributions and Risk Factors

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Kathryn M Rexrode ◽  
Braxton D Mitchell ◽  
Kathleen A Ryan ◽  
Steven J Kittner ◽  
Hakan Ay ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Cardioembolic Stroke ◽  
Relative Distribution ◽  
Large Artery ◽  
Stroke Risk Factors ◽  
Stroke Subtypes ◽  
Small Artery Occlusion ◽  
Ischemic Stroke Risk

Introduction: The relative distribution of stroke risk factors, as well as ischemic stroke subtypes, in women compared with men is not well described. Hypothesis: We hypothesized that the distribution of ischemic stroke risk factors and subtypes would differ by sex, with a later onset in women and greater proportion of comorbidities. Methods: The NINDS Stroke Genetics Network (SiGN) consortium was established to evaluate genetic risk factors for ischemic stroke. A total of 23 separate studies performed Causative Classification of Stroke (CCS) typing using standardized criteria on ischemic stroke cases and contributed data on risk factors. We compared the distribution of ischemic stroke risk factors and CCS phenotypes between men and women with ischemic stroke. Results: Of the 16,228 ischemic strokes in SiGN, 8005 (49.3%) occurred in women. Median age at stroke was older in female than male stroke cases (73 vs. 66 years) (p=<0.0001). Among stroke cases, women were more likely than men cases to have hypertension or atrial fibrillation and less likely to have diabetes or coronary artery disease, or to smoke (p <0.003 for all). The distribution of stroke subtypes also differed by sex, with women less likely than men to have large artery infarction and small artery occlusion, and more likely to have cardioembolic stroke and undetermined stroke due to incomplete work-up (p values all <0.0001; see Table). Results were similar when the distribution of stroke subtypes was examined for those <70 years and ≥70 years, except for cardioembolic stroke remaining more common only among women ≥70. Conclusions: In this large group of carefully phenotyped ischemic strokes, the distribution of ischemic stroke subtypes and risk factor profiles differ significantly by sex. Evaluation of the causes of these differences may highlight areas for improved prevention and risk reduction in both genders.

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.

Abstract TP196: New Zealand Workforce Stroke Incidence: Urban and Rural Risk Factor Evaluation

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Hope E Buell ◽  
Patricia Metcalf ◽  
Daniel Exeter
Keyword(s):  
Risk Factors ◽  
New Zealand ◽  
Stroke Risk ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Smoking Status ◽  
Prior History ◽  
Stroke Incidence ◽  
Stroke Outcomes ◽  
The Impact

This analysis aims to assess the impact of urban and rural risk factors on a model of stroke incidence in a New Zealand workforce population. The New Zealand study consisted of 4,926 subjects prospectively enrolled at 46 worksites. The subjects were aged 40-78 years at baseline and had no prior history of stroke. This prospective study defines stroke events experienced by the study subjects during follow-up between 1988 and 2012 based on hospital admission coding. Proportional hazards regression models were fit using baseline characteristics. The difference in stroke outcomes for urban and rural worksites was also evaluated. Results demonstrate that baseline demographic, physical exam, and behavioural measures impact stroke outcomes. While the baseline distribution of stroke risk factors such as Pacific Island ethnicity, smoking status, and increased blood pressure indicates a potentially higher risk of stroke in the rural population, the proportional hazards model does not identify increased stroke risk for rural workers. Additional analysis of the diet, exercise and Quality of Life measures for these subjects may provide further information into the stroke risk profiles of individuals working in different locales.

Abstract WP236: The Urban-Rural Divide: Risk Factor Prevalence in Ischemic Stroke Patients Across Two Decades

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Dinesh V Jillella ◽  
Sara Crawford ◽  
Anne S Tang ◽  
Rocio Lopez ◽  
Ken Uchino
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Regression Models ◽  
Stroke Risk ◽  
Stroke Patients ◽  
Stroke Risk Factor ◽  
Risk Factor Prevalence ◽  
Urban Rural ◽  
Artery Disease

Introduction: Regional disparities exist in stroke incidence and stroke related mortality in the United States. We aimed to elucidate the stroke risk factor prevalence trends based on urban versus rural location. Methods: From the National Inpatient Sample database the comorbid stroke risk factors were collected among hospitalized ischemic stroke patients during 2000-2016. Crude and age-and sex-standardized prevalence estimates were calculated for each risk factor during the time periods 2000-2008 and 2009-2016. We compared risk factor prevalence over the defined time periods using regression models, and differences in risk factor trends based on patient location categorized as urban (metropolitan with population of ≥ 1 million) and rural (neither micropolitan or metropolitan) using interaction terms in the regression models. Results: Stroke risk factor prevalence significantly increased from 2000-2008 to 2009-2016. When stratified based on patient location, most risk factors increased in both urban and rural groups. In the crude model, the urban to rural trend difference across 2000-08 and 2009-16 was significant in hypertension (p<0.0001), hyperlipidemia (p=0.0008), diabetes mellitus (p<0.0001), coronary artery disease (p<0.0001), smoking (p<0.0001) and alcohol (p=0.02). With age and sex standardization, the urban to rural trend difference was significant in hypertension (p<0.0001), hyperlipidemia (p=0.0007), coronary artery disease (p=0.01) and smoking (p<0.0001). Conclusion: The prevalence of vascular risk factors among ischemic stroke patients has increased over the last two decades. There exists an urban-rural divide, with rural patients showing larger increases in prevalence of several risk factors compared to urban patients.

Abstract TMP58: Determinants of White Matter Hyperintensity in Acute Ischemic Stroke Patients: The MRI-GENIE Study

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Anne-Katrin Giese ◽  
Markus D Schirmer ◽  
Adrian V Dalca ◽  
Ramesh Sridharan ◽  
Lisa Cloonan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
White Matter ◽  
Stroke Risk ◽  
Smoking Status ◽  
Vascular Risk Factors ◽  
White Matter Hyperintensity ◽  
Vascular Risk ◽  
Prior Stroke

Introduction: White matter hyperintensity (WMH) is a highly heritable trait and a significant contributor to stroke risk and severity. Vascular risk factors contribute to WMH severity; however, knowledge of the determinants of WMH in acute ischemic stroke (AIS) is still limited. Hypothesis: WMH volume (WMHv) varies across AIS subtypes and is modified by vascular risk factors. Methods: We extracted WMHv from the clinical MRI scans of 2683 AIS subjects from the MRI-Genetics Interface Exploration (MRI-GENIE) study using a novel fully-automated, volumetric analysis pipeline. Demographic data, stroke risk factors and stroke subtyping for the Causative Classification of Stroke (CCS) were performed at each of the 12 international study sites. WMHv was natural log-transformed for linear regression analyses. Results: Median WMHv was 5.7cm 3 (interquartile range (IQR): 2.2-12.8cm 3 ). In univariable analysis, age (63.1 ± 14.7 years, β=0.04, SE=0.002), prior stroke (10.2%, β=0.66, SE=0.08), hypertension (65.4%, β=0.75, SE=0.05), diabetes mellitus (23.1%, β=0.35, SE=0.06), coronary artery disease (17.6%, β=0.04, SE=0.002), and atrial fibrillation (14.6%, β=0.48, SE=0.07) were significant predictors of WMHv (all p<0.0001), as well as smoking status (52.2%, β=0.15, SE=0.05, p=0.005), race (16.5% Non-Caucasian, β=0.25, SE=0.07) and ethnicity (8.2% Hispanic, β=0.30, SE=0.11) (all p<0.01). In multivariable analysis, age (β=0.04, SE=0.002), prior stroke (β=0.56, SE=0.08), hypertension (β=0.33, SE=0.05), smoking status (β=0.16, SE=0.05), race (β=0.42, SE=0.06), and ethnicity (β=0.34, SE=0.09) were independent predictors of WMHv (all p<0.0001), as well as diabetes mellitus (β=0.13, SE=0.06, p=0.02). WMHv differed significantly (p<0.0001, unadjusted) across CCS stroke subtypes: cardioembolic stroke (8.0cm 3 , IQR: 4.2-15.4cm 3 ), large-artery stroke (6.9cm 3 , IQR: 3.1-14.7cm 3 ), small-vessel stroke (5.8cm 3 , IQR: 2.5-13.5cm 3 ), stroke of undetermined (4.7cm 3 , IQR: 1.6-11.0cm 3 ) or other (2.55cm 3 , IQR: 0.9-8.8cm 3 ) causes. Conclusion: In this largest-to-date, multicenter hospital-based cohort of AIS patients with automated WMHv analysis, common vascular risk factors contribute significantly to WMH burden and WMHv varies by CCS subtype.

Sign in / Sign up

Export Citation Format

Share Document