scholarly journals Large disparities in 28‐day case fatality by stroke subtype: data from a French stroke registry between 2008 and 2017

Author(s):  
Victoria Gauthier ◽  
Dominique Cottel ◽  
Philippe Amouyel ◽  
Jean Dallongeville ◽  
Aline Meirhaeghe
Stroke ◽  
2019 ◽  
Vol 50 (10) ◽  
pp. 2661-2667 ◽  
Author(s):  
Olivier Grimaud ◽  
Yacine Lachkhem ◽  
Fei Gao ◽  
Cindy Padilla ◽  
Mélanie Bertin ◽  
...  

Background and Purpose— Recent findings suggest that in the United States, stroke incidence is higher in rural than in urban areas. Similar analyses in other high-income countries are scarce with conflicting results. In 2008, the Brest Stroke Registry was started in western France, an area that includes about 366 000 individuals living in various urban and rural settings. Methods— All new patients with stroke included in the Brest Stroke Registry from 2008 to 2013 were classified as residing in town centers, suburbs, isolated towns, or rural areas. Poisson regression was used to analyze stroke incidence and 30-day case fatality variations in the 4 different residence categories. Models with case fatality as outcome were adjusted for age, stroke type, and stroke severity. Results— In total, 3854 incident stroke cases (n=2039 women, 53%) were identified during the study period. Demographic and socio-economic characteristics and primary healthcare access indicators were significantly different among the 4 residence categories. Patterns of risk factors, stroke type, and severity were comparable among residence categories in both sexes. Age-standardized stroke rates varied from 2.90 per thousand (95% CI, 2.59–3.21) in suburbs to 3.35 (95% CI, 2.98–3.73) in rural areas for men, and from 2.14 (95% CI, 2.00–2.28) in town centers to 2.34 (95% CI, 2.12–2.57) in suburbs for women. Regression models suggested that among men, stroke incidence was significantly lower in suburbs than in town centers (incidence rate ratio =0.87; 95% CI, 0.77–0.99). Case fatality risk was comparable across urban categories but lower in rural patients (relative risk versus town centers: 0.76; 95% CI, 0.60–0.96). Conclusions— Stroke incidence was comparable, and the 30-day case fatality only slightly varied in the 4 residence categories despite widely different socio-demographic features covered by the Brest Stroke Registry.


Stroke ◽  
2015 ◽  
Vol 46 (10) ◽  
pp. 2728-2734 ◽  
Author(s):  
Chuen Seng Tan ◽  
Falk Müller-Riemenschneider ◽  
Sheryl Hui Xian Ng ◽  
Pei Zheng Tan ◽  
Bernard P.L. Chan ◽  
...  

2019 ◽  
Vol 54 (6) ◽  
pp. 490-497 ◽  
Author(s):  
Mathilde Graber ◽  
Lucie Garnier ◽  
Sophie Mohr ◽  
Benoit Delpont ◽  
Christelle Blanc-Labarre ◽  
...  

<b><i>Objective:</i></b> We assessed the association between pre-stroke cognitive status and 90-day case-fatality. <b><i>Methods:</i></b> Patients with ischemic stroke (IS) or spontaneous intracerebral hemorrhage (ICH) were prospectively identified among residents of Dijon, France, between 2013 and 2015, using a population-based registry. Association between pre-stroke cognitive status and case-fatality at 90 days was evaluated using Cox regression. <b><i>Results:</i></b> Seven hundred sixty-two patients were identified, and information about pre-stroke cognitive status was obtained for 716 (92.6%) of them, including 603 IS (84.2%) and 113 ICH (15.8%). Before stroke, 99 (13.8%) patients had mild cognitive impairment (MCI) and 98 (13.7%) had dementia. Patients with cognitive impairment were older, had a higher prevalence of several risk factors, more severe stroke, more frequent ICH, and less admission to stroke unit. Case-fatality rate at 90 days was 11.7% in patients without cognitive impairment, 32.3% in MCI patients, and 55.1% in patients with dementia. In multivariable analyses, pre-existing MCI (hazard ratio [HR] 2.22, 95% CI 1.21–4.05, <i>p</i> = 0.009) and dementia (HR 4.35, 95% CI 2.49–7.61, <i>p</i> &#x3c; 0.001) were both associated with 90-day case-fatality. <b><i>Conclusion:</i></b> Pre-stroke MCI and dementia were both associated with increased mortality. These associations were not fully explained by baseline characteristics, pre-stroke dependency, stroke severity or patient management, and underlying reasons need to be investigated.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Melissa C. MacKinnon ◽  
Scott A. McEwen ◽  
David L. Pearl ◽  
Outi Lyytikäinen ◽  
Gunnar Jacobsson ◽  
...  

Abstract Background Escherichia coli is the most common cause of bloodstream infections (BSIs) and mortality is an important aspect of burden of disease. Using a multinational population-based cohort of E. coli BSIs, our objectives were to evaluate 30-day case fatality risk and mortality rate, and determine factors associated with each. Methods During 2014–2018, we identified 30-day deaths from all incident E. coli BSIs from surveillance nationally in Finland, and regionally in Sweden (Skaraborg) and Canada (Calgary, Sherbrooke, western interior). We used a multivariable logistic regression model to estimate factors associated with 30-day case fatality risk. The explanatory variables considered for inclusion were year (2014–2018), region (five areas), age (< 70-years-old, ≥70-years-old), sex (female, male), third-generation cephalosporin (3GC) resistance (susceptible, resistant), and location of onset (community-onset, hospital-onset). The European Union 28-country 2018 population was used to directly age and sex standardize mortality rates. We used a multivariable Poisson model to estimate factors associated with mortality rate, and year, region, age and sex were considered for inclusion. Results From 38.7 million person-years of surveillance, we identified 2961 30-day deaths in 30,923 incident E. coli BSIs. The overall 30-day case fatality risk was 9.6% (2961/30923). Calgary, Skaraborg, and western interior had significantly increased odds of 30-day mortality compared to Finland. Hospital-onset and 3GC-resistant E. coli BSIs had significantly increased odds of mortality compared to community-onset and 3GC-susceptible. The significant association between age and odds of mortality varied with sex, and contrasts were used to interpret this interaction relationship. The overall standardized 30-day mortality rate was 8.5 deaths/100,000 person-years. Sherbrooke had a significantly lower 30-day mortality rate compared to Finland. Patients that were either ≥70-years-old or male both experienced significantly higher mortality rates than those < 70-years-old or female. Conclusions In our study populations, region, age, and sex were significantly associated with both 30-day case fatality risk and mortality rate. Additionally, 3GC resistance and location of onset were significantly associated with 30-day case fatality risk. Escherichia coli BSIs caused a considerable burden of disease from 30-day mortality. When analyzing population-based mortality data, it is important to explore mortality through two lenses, mortality rate and case fatality risk.


Stroke ◽  
2005 ◽  
Vol 36 (12) ◽  
pp. 2738-2741 ◽  
Author(s):  
Rosa Musolino ◽  
Paolino La Spina ◽  
Salvatore Serra ◽  
Paolo Postorino ◽  
Salvatore Calabró ◽  
...  

2015 ◽  
Vol 87 (4) ◽  
pp. 680-688 ◽  
Author(s):  
Ute Amann ◽  
Inge Kirchberger ◽  
Margit Heier ◽  
Wolfgang von Scheidt ◽  
Bernhard Kuch ◽  
...  

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Luciano Sposato ◽  
Gustavo Saposnik

Background: Differences in definitions of socioeconomic status (SES) and between study designs hinder their comparability across countries. We aimed to analyze the correlation of three widely used macro-SES indicators with stroke incidence and age at stroke onset. Methods: We selected population-based studies reporting incident stroke risk and/or 30-day case fatality according to pre-specified criteria. We used three macro-SES indicators that are consistently defined by international agencies: per capita gross domestic product adjusted for purchasing power parity (PPP-aGDP), total health expenditures per capita at purchasing power parity (PPP-aTHE) and unemployment rate. We used two-tailed Spearman’s test and scatter-plots for analyzing the correlation of each macro-SES indicator with incident risk of stroke, 30-day case fatality rates, proportion of hemorrhagic strokes and age at stroke onset. Results: Twenty-three manuscripts comprising 30 population-based studies fulfilled the eligibility criteria. Age-adjusted incident risk of stroke using standardized World Health Organization World population, 30-day case fatality rates, proportion of hemorrhagic strokes and age at stroke onset were associated to lower PPP-aGDP and PPP-aTHE ( Table 1 and Figures 2 and 3). There was no correlation between unemployment rates and outcome measures. Table 1. Correlation Analyses of Macro-Indicators of Socioeconomic Status Figures 1. Scatter Plots for PPP-aGDP Figures 2. Scatter Plots for PPP-aTHE Conclusions: Lower PPP-aGDP and PPP-aTHE were associated with higher incident risk of stroke, higher case fatality, greater proportion of hemorrhagic strokes and lower age at stroke onset. As a result, these macro-SES indicators may be used as proxy measures of quality of primary prevention and acute care and considered as important factors for developing strategies aimed at improving worldwide stroke care.


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