What Causes Increased Stroke Mortality in Patients with Prestroke Dementia?

2005 ◽  
Vol 19 (5) ◽  
pp. 323-327 ◽  
Author(s):  
Peter Appelros ◽  
Matti Viitanen
Keyword(s):  
Stroke Mortality ◽  
Prestroke Dementia

scholarly journals Has stroke mortality stopped declining in Spain?

2021 ◽  
Author(s):  
A. Cayuela ◽  
L. Cayuela ◽  
M.J. Ortega Belmonte ◽  
S. Rodríguez-Domínguez ◽  
I. Escudero-Martínez ◽  
...  
Keyword(s):  
Stroke Mortality

scholarly journals Sleep Duration and Risk of Stroke Mortality Among Chinese Adults

Stroke ◽  
2014 ◽  
Vol 45 (6) ◽  
pp. 1620-1625 ◽  
Author(s):  
An Pan ◽  
Deidre Anne De Silva ◽  
Jian-Min Yuan ◽  
Woon-Puay Koh
Keyword(s):  
Sleep Duration ◽  
Stroke Mortality ◽  
Chinese Adults

scholarly journals Slowdown in the decline of stroke mortality in the United States, 1978-1986.

Stroke ◽  
1990 ◽  
Vol 21 (9) ◽  
pp. 1274-1279 ◽  
Author(s):  
R Cooper ◽  
C Sempos ◽  
S C Hsieh ◽  
M G Kovar
Keyword(s):  
United States ◽  
The United States ◽  
Stroke Mortality

scholarly journals Progressive Decline in Stroke Mortality in Brazil From 1980 to 1982, 1990 to 1992, and 2000 to 2002

Stroke ◽  
2006 ◽  
Vol 37 (11) ◽  
pp. 2784-2789 ◽  
Author(s):  
Charles André ◽  
Cíntia Chaves Curioni ◽  
Cynthia Braga da Cunha ◽  
Renato Veras
Keyword(s):  
Stroke Mortality ◽  
Progressive Decline

scholarly journals In Hospital Stroke Mortality: Rates and Determinants in Southwestern Saudi Arabia

2018 ◽  
Vol 15 (5) ◽  
pp. 927 ◽  
Author(s):  
Adel Alhazzani ◽  
Ahmed Mahfouz ◽  
Ahmed Abolyazid ◽  
Nabil Awadalla ◽  
Khaled Katramiz ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Mortality Rates ◽  
Stroke Mortality

Abstract 20: Patterns of Stroke Center Certification and the Impact on Stroke Mortality in Counties of New York State

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Emily Chapman ◽  
Kurt A Yaeger ◽  
J D Mocco
Keyword(s):  
New York ◽  
Socioeconomic Status ◽  
Household Income ◽  
New York State ◽  
Stroke Care ◽  
Stroke Mortality ◽  
Median Household Income ◽  
Stroke Incidence ◽  
York State ◽  
The Relationship

Introduction: To establish a statewide stroke system in March 2019, New York State (NYS) created the Stroke Designation Program. Stroke centers (SCs) must be certified by a state-approved certifying organization (CO), which is tasked with initial designation and ongoing re-certification. Previous research has found an association at the national level between socioeconomic status and access to higher levels of acute stroke care. Objective: This study characterizes the relationship between socioeconomic status of NYS populations and stroke care level access by comparing median household income and wealth in counties with and without certified SCs. Methods: Population and median household income from the U.S. Census (2010), stroke epidemiological data from the Center for Disease Control, and Area Deprivation Index (ADI) data (ranked within NYS) from the Neighborhood Atlas, a project that quantifies disadvantage by census tract, were collected and averaged for each county. Income has been used to assess local wealth and ADI to analyze community health risks. Certification data were mined from quality check databases for The Joint Commission and Det Norske Veritas, the most commonly used COs. Student’s t-tests compared income and ADI in counties with at least one certified SC to those without. Linear regression characterized the relationship between income and ADI with number of certified SCs, stroke incidence and stroke mortality. Results: All 62 counties in NYS were investigated to yield 40 certified SCs. Counties with at least one certified SC had a significantly higher income ($68,183.63 vs. $57,155.12; p=0.03) and lower ADI (5.90 vs. 7.37; p=0.004) compared to counties with no certified SC. Higher income (p<0.001) and lower ADI (p<0.001) were also associated with more certified SCs. Counties with fewer certified SCs had significantly higher stroke mortality (p<0.001) despite having similar stroke incidence. Conclusion: Socioeconomic heterogeneity in NYS counties is correlated to differential access to certified SCs and quality stroke care, as fewer centers are found in lower-income and disadvantaged communities. Although populations with less access experience stroke at similar rates, this study finds higher death rates in these counties.

Abstract 88: Social Inequalities in Stroke Mortality, Incidence and Case-fatality in Europe.

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Marco M Ferrario ◽  
Giovanni Veronesi ◽  
Kari Kuulasmaa ◽  
Martin Bobak ◽  
Lloyd E Chambless ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Inequalities ◽  
Cox Regression ◽  
Case Fatality ◽  
Stroke Mortality ◽  
Stroke Incidence ◽  
Low Education ◽  
Mortality Incidence ◽  
European Populations

Introduction and aim: There are limited comparative data on social inequalities in stroke morbidity across Europe. We aimed to assess the magnitude of educational class inequalities in stroke mortality, incidence and 1-year case-fatality in European populations. Methods: The MORGAM study comprised 45 cohorts from Finland, Denmark, Sweden, Northern Ireland, Scotland, France, Germany, Italy, Lithuania, Poland and Russia, mostly recruited in mid 1980s-early 90s. Baseline data collection and follow-up (median 12 years) for fatal and non-fatal strokes adhered to MONICA-like procedures. Stroke mortality was defined according to the underlying cause of death (ICD-IX codes 430-438 or ICD-X I60-I69). We derived 3 educational classes from population-, sex- and birth year-specific tertiles of years of schooling. We estimated the age-adjusted difference in event rates, and the age- and risk factor-adjusted hazard ratios (HRs), between the bottom and the top of the educational class distribution from sex- and population-specific Poisson and Cox regression models, respectively. The association between 1-year case-fatality and education was estimated through logistic models adjusted for risk factors. Results: Among the 91,563 CVD-free participants aged 35-74 at baseline, 1037 stroke deaths and 3902 incident strokes occurred during follow-up. Low education accounted for 26 additional stroke deaths per 100,000 person-years in men (95%CI: 9 to 42), and 19 (7 to 32) in women. In both genders, inequalities in fatal stroke rates were larger in the East EU and in the Nordic Countries populations. The age-adjusted pooled HRs of first stroke, fatal or non-fatal, for the least educated men and women were 1.52 (95%CI: 1.29-1.78) and 1.51 (1.25-1.81), respectively, consistently across populations. Adjustment for smoking, blood pressure, HDL-cholesterol and diabetes attenuated the pooled HRs to 1.34 (95%CI: 1.14-1.57) in men and 1.29 (1.07-1.55) in women. A significant association between low education and increased 1-year case-fatality was observed in Northern Sweden only. Conclusions: Social inequalities in stroke incidence are widespread in most European populations, and less than half of the gap is explained by major risk factors.

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