scholarly journals Prevalence of Stroke Risk Factors and Their Distribution Based on Stroke Subtypes in Gorgan: A Retrospective Hospital-Based Study—2015-2016

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Mahdi Habibi-koolaee ◽  
Leila Shahmoradi ◽  
Sharareh R. Niakan Kalhori ◽  
Hossein Ghannadan ◽  
Erfan Younesi
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Healthcare Providers ◽  
Age Groups ◽  
University Hospital ◽  
Stroke Registry ◽  
Stroke Risk Factors ◽  
Stroke Subtypes

Background. Stroke is a leading cause of death and disability worldwide. According to the Iranian Ministry of Medical Health and Education, out of 100,000 stroke incidents in the country, 25,000 lead to death. Thus, identifying risk factors of stroke can help healthcare providers to establish prevention strategies. This study was conducted to investigate the prevalence of stroke risk factors and their distribution based on stroke subtypes in Sayad Shirazi Hospital, Gorgan, Northeastern Iran. Material and Methods. A retrospective hospital-based study was conducted at Sayad Shirazi Hospital in Gorgan, the only referral university hospital for stroke patients in Gorgan city. All medical records with a diagnosis of stroke were identified based on the International Classification of Diseases, Revision 10, from August 23, 2015, to August 22, 2016. A valid and reliable data gathering form was used to capture data about demographics, diagnostics, lifestyle, risk factors, and medical history. Results. Out of 375 cases, two-thirds were marked with ischemic stroke with mean ages (standard deviation) of 66.4 (14.2) for men and 64.6 (14.2) for women. The relationship between stroke subtypes and age groups (P=0.008) and hospital outcome (P=0.0001) was significant. Multiple regression analysis showed that hypertension (Exp. (B) =1.755, P=0.037), diabetes mellitus (Exp. (B) =0.532, P=0.021), and dyslipidemia (Exp. (B) =2.325, P=0.004) significantly increased the risk of ischemic stroke. Conclusion. Overall, hypertension, diabetes mellitus, and dyslipidemia were the major risk factors of stroke in Gorgan. Establishment of stroke registry (population- or hospital-based) for the province is recommended.

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.

Pro-neurotensin/neuromedin N and risk of ischemic stroke: The REasons for Geographic And Racial Differences in Stroke (REGARDS) study

2020 ◽  
Vol 25 (6) ◽  
pp. 534-540
Author(s):  
Charles D Nicoli ◽  
Nicholas Wettersten ◽  
Suzanne E Judd ◽  
George Howard ◽  
Virginia J Howard ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
Racial Differences ◽  
Stroke Risk ◽  
Cox Proportional Hazards Model ◽  
Demographic Model ◽  
Stroke Risk Factors ◽  
Regards Study ◽  
Neuromedin N

The tridecapeptide neurotensin has been implicated in the pathogenesis of cardiometabolic disease. Its stable precursor, pro-neurotensin/neuromedin N (pro-NT/NMN), has been associated with composite cardiovascular outcomes including coronary heart disease (CHD) and stroke. The exclusive association of pro-NT/NMN with ischemic stroke has not been evaluated. We conducted a prospective case-cohort study in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. From 2003 to 2007, REGARDS enrolled 30,239 white or black adults aged ⩾ 45 years. Baseline fasting pro-NT/NMN was measured by immunoassay in the analytic sample including 448 incident ischemic stroke cases and 818 random cohort sample participants. A total of 464 ischemic strokes occurred. Risk of stroke was assessed with a Cox proportional-hazards model incorporating demographic covariates and a second adding stroke risk factors. Increased pro-NT/NMN was associated with ischemic stroke in the demographic model overall (hazard ratio (HR) per standard deviation (SD) pro-NT/NMN 1.16, 95% confidence interval (CI) 1.01–1.33) and in men (HR per SD pro-NT/NMN 1.25, 95% CI 1.04–1.50); HRs were attenuated in the risk factor model. Pre-existing diabetes mellitus and CHD were the largest confounders of ischemic stroke risk, each accounting for an estimated 19% of the association of pro-NT/NMN with ischemic stroke observed in the demographic model. There were no significant interactions of race or sex with pro-NT/NMN. Further research on associations of pro-NT/NMN with stroke risk factors such as diabetes mellitus is indicated.

Risk of ischemic stroke and recurrent ICH in patients with atrial fibrillation presenting with incident ICH: an analysis from the Danish Stroke Registry

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P.B Nielsen ◽  
M Soegaard ◽  
F Skjoeth ◽  
T.B Larsen ◽  
G.Y.H Lip
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Funding Source ◽  
Stroke Registry ◽  
Stroke Risk Factors ◽  
Study Population ◽  
One Year ◽  
The Prestige

Abstract Background Intracerebral haemorrhage (ICH) is a devastating vascular event, and secondary prevention is central to avoid cerebral complications. The PRESTIGE-AF trial is a multinational randomized controlled trial designed to investigate the optimal stroke prevention strategy in atrial fibrillation (AF) patients who have suffered an ICH. Purpose To examine one-year risk of cerebrovascular events in a study population similar to the expected PRESTIGE-AF trial. Methods We used the Danish nationwide registries to identify all patients presenting with incident ICH and prevalent AF between 2003–2018. The study population was restricted using key inclusion criteria for trial participation: indication for antithrombotic treatment due to AF, and at least two CHA2DS2-VASc score stroke risk factors (three for females). Exclusion criteria were: ICH event occurring as a result of trauma or vascular malformation; other indication for long-term anticoagulant treatment; or use of left atrial appendage occlusion device. Patients were followed up in the Danish Stroke Registry, and outcomes were reported stratified by levels of the CHA2DS2-VASc score (score 2–3; 4–6; and &gt;6 points). Results A total of 16,269 ICH patients were identified and after exclusions, 1797 patients were eligible for analysis. The main reason for exclusion was lack of AF diagnosis (81.2%). The study population mean age was 79.5 (SD: 8.7) and 48.1% were females. Among included patients 573 (%) had a CHA2DS2-VASc score of 2–3, 829 (%) had a score of 4–6, and 395 (%) had a score &gt;6. The most prevalent stroke risk factors were hypertension (76.6%) and prior stroke (33.2%). During one-year follow-up, 56 ischemic stroke events and 43 recurrent ICH were observed at a rate of 4.33 (per 100 person-years) and 3.30, respectively. The Figure depicts risk development over time by means of cumulative incidence function based on the Aalen-Johansen estimator (factoring competing risk of death into the analytic approach). The risk of ischemic stroke was generally similar across strata of the stroke risk categories, while the risk of recurrent ICH was highest among patients with a CHA2DS2-VASc score &gt;6 points. Conclusion Using the Danish Stroke Registry, we identified a population mirroring the PRESTIGE-AF trial population. The patients were generally elderly and more than 68% had a CHA2DS2-VASc score of 4 or higher. The observed risk of ischemic stroke was similar across strata, while recurrent ICH was highest among those with a score &gt;6 points. The outputs from the PRESTIGE-AF trial are warranted to determine optimal stroke prevention treatment patients with AF presenting with an ICH. Figure 1 Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 754517

Secular Trends in Ischemic Stroke Subtypes and Stroke Risk Factors

Stroke ◽  
2014 ◽  
Vol 45 (11) ◽  
pp. 3208-3213 ◽  
Author(s):  
Chrysi Bogiatzi ◽  
Daniel G. Hackam ◽  
A. Ian McLeod ◽  
J. David Spence
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Secular Trends ◽  
Stroke Risk Factors ◽  
Stroke Subtypes

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 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.

scholarly journals Premature Atrial Contractions on the Screening Electrocardiogram and Risk of Ischemic Stroke: The Reasons for Geographic and Racial Differences in Stroke Study

2016 ◽  
Vol 47 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Wesley T. O'Neal ◽  
Hooman Kamel ◽  
Dawn Kleindorfer ◽  
Suzanne E. Judd ◽  
George Howard ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Racial Differences ◽  
Stroke Risk ◽  
Cox Regression ◽  
Stroke Risk Factors ◽  
Stroke Study ◽  
Increased Risk ◽  
Study Participants ◽  
The Relationship

Background: It is currently unknown if premature atrial contractions (PACs) detected on the routine screening electrocardiogram are associated with an increased risk of ischemic stroke. Methods: We examined the association between PACs and ischemic stroke in 22,975 (mean age 64 ± 9.2; 56% women; 40% black) participants from the Reasons for Geographic and Racial Differences in Stroke study. Participants who were free of stroke at baseline were included. PACs were detected from centrally read electrocardiograms at baseline. Cox regression was used to examine the association between PACs and ischemic stroke events through March 31, 2014. Results: PACs were present in 1,687 (7.3%) participants at baseline. In a Cox regression model adjusted for stroke risk factors and potential confounders, PACs were associated with an increased risk of ischemic stroke (hazards ratio (HR) 1.34, 95% CI 1.04-1.74). The relationship was limited to non-lacunar infarcts (HR 1.42, 95% CI 1.08-1.87), and not lacunar strokes (HR 1.01, 95% CI 0.51-2.03). An interaction by sex was detected, with the association between PACs and ischemic stroke being stronger among women (HR 1.82, 95% CI 1.29-2.56) than men (HR 1.03, 95% CI 0.69-1.52; p-interaction = 0.0095). Conclusion: PACs detected on the routine electrocardiogram are associated with an increased risk for non-lacunar ischemic strokes, especially in women.

Stroke in women

2018 ◽  
Author(s):  
Kirsi Rantanen ◽  
Karoliina Aarnio
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Age Groups ◽  
Oral Contraception ◽  
Child Rearing ◽  
Or Education ◽  
Female Population ◽  
Stroke Risk Factors ◽  
Multiple Challenges ◽  
Major Stroke

Young women who suffer from stroke face multiple challenges regarding child rearing, future pregnancies, and ability to return to work or education. Women in general have a higher lifetime risk of stroke than men (1 in 5 vs 1 in 6), which is partly explained by longer life expectancy in the female population. The incidence of ischaemic stroke in non-pregnant women aged 15–44 years has been around 5 per 100,000 women-years. Women have lower stroke mortality than men except in the older age groups. Women have unique stroke risk factors such as oral contraception, pregnancy, puerperium, and menopausal hormone therapy. It remains unresolved why oestrogen, thought to be neuroprotective, actually can turn out to be harmful in regard to stroke risk. A number of major stroke risk factors such as hypertension, migraine with aura, obesity, metabolic syndrome, and atrial fibrillation are more common in women than men.

Relationship Between Stroke’s Risk Factors with Daily Activities Using Modified Shah Barthel Index in Chronic Stroke Patient at RSCM

2018 ◽  
Vol 24 (8) ◽  
pp. 6225-6231
Author(s):  
S Rachmayanti ◽  
W Kusumaningsih
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Logistic Regression ◽  
Stroke Risk ◽  
Chronic Stroke ◽  
Medical Rehabilitation ◽  
Stroke Patients ◽  
Chi Square ◽  
Stroke Risk Factors ◽  
The Relationship

Hypertension and diabetes mellitus are the most common risk factors of stroke.The study aimed to determine the relationship between stroke risk factors, hypertension and diabetes mellitus, with dependency of chronic stroke patients in Department of Medical Rehabilitation RSCM. The study is conducted by using the analytical observational cross-sectional study. The samples used in this study were 44 respondents selected by quota sampling method. The relationship between variabels was analyzed by bivariate test Chi-Square and multivariate analysis: Logistic Regression. Based on Chi-Square test, relationship between MSBI scoring with hypertension and diabetes mellitus as stroke risk factors, sequentiallly p = 0,122 and p = 0,002. Furthermore, Logistic Regression test suggested that hypertension and diabetes mellitus as stroke risk factors related to MSBI scoring, respectively; hypertension p = 0,076 (OR 4,076; CI95 0,861–19,297) and diabetes mellitus p = 0,007 (OR 22,690; CI95 2,332–220,722). Discussion: Diabetes mellitus is the most prominent risk factor in severe dependecy of chronic stroke patients.

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