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.

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 P604: Incidentally-Discovered Asymptomatic Ischemic Lesions Identified Using Natural Language Processing Are Strong Risk Markers for Future Ischemic Stroke

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
David M Kent ◽  
Lester Y Leung ◽  
Yichen Zhou ◽  
Patrick H Luetmer ◽  
David F Kallmes ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Stroke Risk ◽  
Risk Markers ◽  
Stroke Risk Factors ◽  
Over Time ◽  
Major Stroke

Background: White matter disease (WMD) and silent brain infarction (SBI) are known to be risk markers for stroke. Nevertheless, the predictive value of these changes when seen incidentally on routinely-obtained neuroimages is unknown. Methods: In this retrospective cohort study, Kaiser Permanente-Southern California health plan enrollees aged ≥ 50 years old with a brain CT or MRI scan between 2009-2019 and without a prior history of ischemic stroke, transient ischemic attack, or dementia were identified. Natural language processing (NLP) was used to identify patients with SBI and WMD on the index neuroimaging report. We used Cox proportional hazards to estimate the risk of future ischemic stroke associated with the presence of SBI and of WMD, controlling for major stroke risk factors. Results: Among 262,875 individuals receiving brain neuroimaging, 13,154 (5.0%) and 78,330 (29.8%) had SBI and WMD, respectively. The Table below summarizes the crude stroke incidence rates. The crude hazard ratio (HR) was 3.40 (95% CI 3.25-3.56) for SBI and 2.63 (95% CI 2.54-2.71) for WMD. In the multivariable model controlling for all major stroke risk factors, the effect of SBI was found to be stronger in younger versus older patients and for MRI- versus CT-discovered lesions. With MRI, the average adjusted HR over time was 2.95 (95% CI 2.53-3.44) for those < age 65 and 2.15 (95% CI 1.91-2.41) for those ≥ age 65. With CT scan, the average adjusted HR over time was 2.48 (95%CI 2.19-2.81) for those < age 65 and 1.81 (95% CI 1.71-1.91) for those ≥ age 65. The adjusted HR associated with a finding of WMD was 1.76 (95% CI 1.69-1.82) and was not modified by age or imaging modality. The effect of SBI decreased gradually over time, while the effect of WMD remained constant. Conclusion: Incidentally-discovered SBI and WMD are common in patients ≥ age 50 and are associated with substantial increases in the risk of subsequent symptomatic stroke. The findings may represent an opportunity for stroke prevention.

Stroke risk factors and subtypes in different age groups: A hospital-based study

2010 ◽  
Vol 58 (6) ◽  
pp. 863 ◽  
Author(s):  
Jiann-Der Lee ◽  
Hsu-Huei Weng ◽  
Chih-Ying Wu ◽  
Hung-Ming Wu
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Age Groups ◽  
Stroke Risk Factors

scholarly journals Trends of risk profile among middle-aged adults hospitalized for acute ischemic stroke in United States 2006–2017

2020 ◽  
pp. 174749302097937
Author(s):  
Xin Tong ◽  
Quanhe Yang ◽  
Mary G George ◽  
Cathleen Gillespie ◽  
Robert K Merritt
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Stroke Risk ◽  
Stroke Patients ◽  
Stroke Risk Factors ◽  
Percent Change ◽  
Lipid Disorders ◽  
Major Stroke

Background Recent studies reported increasing trends in hospitalization of stroke patients aged 35–64 years. Aim To examine changes in risk factor profiles among patients aged 35–64 years hospitalized with acute ischemic stroke between 2006 and 2017 in the United States. Methods We used data from the National Inpatient Sample of the Healthcare Cost and Utilization Project from 2006 through 2017. Principal ICD-9-CM/ICD-10-CM codes were used to identify acute ischemic stroke hospitalizations, and secondary codes were used to identify the presence of four major stroke risk factors: hypertension, diabetes, lipid disorders, and tobacco use. We used the relative percent change to assess the changes in the prevalence of risk profile between 2006–2007 and 2016–2017 and linear regression models to obtain the p values for the overall trends across six time periods. Results Approximately 1.5 million acute ischemic stroke hospitalizations occurred during 2006–2017. The prevalence of having all four risk factors increased from 4.1% in 2006–2007 to 9.1% in 2016–2017 (relative percent change 122.0%, p < 0.001 for trend), prevalence of any three risk factors increased from 24.5% to 33.8% (relative percent change 38.0%, p < 0.001). Prevalence of only two risk factors decreased from 36.1% to 32.7% (p < 0.001), only one risk factor decreased from 25.2% to 18.1% (p < 0.001), and absence of risk factors decreased from 10.1% to 6.2% (p < 0.001). The most prevalent triad of risk factors was hypertension, diabetes, and lipid disorders (14.3% in 2006–2007 and 19.8% in 2016–2017), and the most common dyad risk factors was hypertension and lipid disorders (12.6% in 2006–2007 and 11.9% in 2016–2017). Conclusions The prevalence of hospitalized acute ischemic stroke patients aged 35–64 years with all four or any three of four major stroke risk factors increased by 122% and 38%, while those with only one risk factor or no risk factor has declined by 28% and 39%, respectively, from 2006 to 2017. Younger adults are increasingly at higher risk for stroke from preventable and treatable risk factors. This growing public health problem will require clinicians, healthcare systems, and public health efforts to implement more effective prevention strategies among this population.

scholarly journals 947. Stroke demographics and risk factor profile in HIV infected individuals in Florida

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S506-S506
Author(s):  
Folusakin Ayoade ◽  
Dushyantha Jayaweera
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Clinical Research ◽  
Stroke Risk ◽  
Research Network ◽  
Categorical Variables ◽  
People Living With Hiv ◽  
Risk Factor Profile ◽  
Stroke Risk Factors ◽  
Living With Hiv

Abstract Background The risk of ischemic stroke (IS) is known to be higher in people living with HIV (PLWH) than uninfected controls. However, information about the demographics and risk factors for hemorrhagic stroke (HS) in PLWH is scant. Specifically, very little is known about the differences in the stroke risk factors between HS and IS in PLWH. The goal of this study was to determine the demographics and risk factor differences between HS and IS in PLWH. Methods We retrospectively analyzed the demographic and clinical data of PLWH in OneFlorida (1FL) Clinical Research Consortium from October 2015 to December 2018. 1FL is a large statewide clinical research network and database which contains health information of over 15 million patients, 1240 clinical practices, and 22 hospitals. We compared HS and IS based on documented ICD 9 and 10 diagnostic codes and extracted information about sociodemographic data, traditional stroke risk factors, Charlson comorbidity scores, habits, HIV factors, diagnostic modalities and medications. Statistical significance was determined using 2-sample T-test for continuous variables and adjusted Pearson chi square for categorical variables. Odds ratio (OR) and 95% confidence intervals (CI) between groups were compared. Results Overall, from 1FL sample of 13986 people living with HIV, 574 subjects had strokes during the study period. The rate of any stroke was 18.2/1000 person-years (PYRS). The rate of IS was 10.8/1000 PYRS while the rate of HS was 3.7/1000 PYRS, corresponding to 25.4% HS of all strokes in the study. Table 1 summarizes the pertinent demographic and risk factors for HS and IS in PLWH in the study. Table 1: Summary of pertinent demographic and risk factors for hemorrhagic and ischemic strokes in people living with HIV from One Florida database Conclusion In this large Floridian health database, demographics and risk factor profile differs between HS and IS in PLWH. Younger age group is associated with HS than IS. However, hypertension, hyperlipidemia and coronary artery disease are more likely to contribute to IS than HS in PLWH. Further research is needed to better understand the interplay between known and yet unidentified risk factors that may be contributing to HS and IS in PLWH. Disclosures All Authors: No reported disclosures

The Burden of Stroke in Pakistan

2008 ◽  
Vol 3 (4) ◽  
pp. 293-296 ◽  
Author(s):  
Bhojo A. Khealani ◽  
Mohammad Wasay
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Case Series ◽  
Stroke Care ◽  
Poor Control ◽  
Stroke Incidence ◽  
Treatment Practices ◽  
Stroke Risk Factors ◽  
The Subject ◽  
Artery Disease

Epidemiologic literature on stroke burden, patterns of stroke is almost non existent from Pakistan. However, several hospital-based case series on the subject are available, mainly published in local medical journals. Despite the fact that true stroke incidence and prevalence of stroke in Pakistan is not known, the burden is assumed to be high because of highly prevalent stroke risk factors (hypertension, diabetes mellitus, coronary artery disease, dyslipidemia and smoking) in the community. High burden of these conventional stroke risk factors is further compounded by lack of awareness, poor compliance hence poor control, and inappropriate management/treatment practices. In addition certain risk factors like rheumatic valvular heart disease may be more prevalent in Pakistan. We reviewed the existing literature on stroke risk factors in community, the risk factor prevalence among stroke patients, patterns of stroke, out come of stroke, availability of diagnostic services/facilities related to stroke and resources for stroke care in Pakistan.

scholarly journals Knowledge of Stroke Risk Factors among Stroke Survivors in Nigeria

2016 ◽  
Vol 2016 ◽  
pp. 1-5
Author(s):  
Grace Vincent-Onabajo ◽  
Taritei Moses
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Tertiary Education ◽  
Effective Means ◽  
Descriptive Statistics ◽  
Stroke Survivors ◽  
Questionnaire Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Stroke Risk Factors

Background. Knowledge of stroke risk factors is expected to reduce the incidence of stroke—whether first-ever or recurrent. This study examined knowledge of stroke risk factors and its determinants among stroke survivors.Methods. A cross-sectional survey of consenting stroke survivors at two physiotherapy facilities in Nigeria was carried out. Sociodemographic and clinical data were obtained and knowledge of stroke risk factors (defined as the ability to mention at least one correct risk factor) was assessed using open-ended questionnaire. Data were treated with descriptive statistics and logistic regression analysis.Results. Sixty-nine stroke survivors (male = 72.5%; mean ± SD age =49.7±10.6years) participated in the study. Thirty-four (49.4%) participants had knowledge of stroke risk factors. Only educational level was significantly associated with knowledge and participants with tertiary educational qualification were about 48 times (odds ratio = 48.5; CI = 7.6–309.8;P<0.0001) more likely to be knowledgeable than those with no education.Conclusion. Less than half of the participants had knowledge of stroke risk factors. Participants with tertiary education were significantly more knowledgeable than those with lower educational qualifications. Effective means of educating stroke survivors on stroke risk factors should be identified and adopted.

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