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      Socioeconomic gap between neighborhoods of Budapest: Striking impact on stroke and possible explanations

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          Abstract

          Introduction

          Hungary has a single payer health insurance system offering free healthcare for acute cerebrovascular disorders. Within the capital, Budapest, however there are considerable microregional socioeconomic differences. We hypothesized that socioeconomic deprivation reflects in less favorable stroke characteristics despite universal access to care.

          Methods

          From the database of the National Health Insurance Fund, we identified 4779 patients hospitalized between 2002 and 2007 for acute cerebrovascular disease (hereafter ACV, i.e. ischemic stroke, intracerebral hemorrhage, or transient ischemia), among residents of the poorest (District 8, n = 2618) and the wealthiest (District 12, n = 2161) neighborhoods of Budapest. Follow-up was until March 2013.

          Results

          Mean age at onset of ACV was 70±12 and 74±12 years for District 8 and 12 (p<0.01). Age-standardized incidence was higher in District 8 than in District 12 (680/100,000/year versus 518/100,000/year for ACV and 486/100,000/year versus 259/100,000/year for ischemic stroke). Age-standardized mortality of ACV overall and of ischemic stroke specifically was 157/100,000/year versus 100/100,000/year and 122/100,000/year versus 75/100,000/year for District 8 and 12. Long-term case fatality (at 1,5, and 10 years) for ACV and for ischemic stroke was higher in younger District 8 residents (41–70 years of age at the index event) compared to D12 residents of the same age. This gap between the districts increased with the length of follow-up. Of the risk diseases the prevalence of hypertension and diabetes was higher in District 8 than in District 12 (75% versus 66%, p<0.001; and 26% versus 16%, p<0.001).

          Discussion

          Despite universal healthcare coverage, the disadvantaged district has higher ACV incidence and mortality than the wealthier neighborhood. This difference affects primarily the younger age groups. Long-term follow-up data suggest that inequity in institutional rehabilitation and home-care should be investigated and improved in disadvantaged neighborhoods.

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          Most cited references26

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          Stroke incidence and prevalence in Europe: a review of available data.

          Reliable data on stroke incidence and prevalence are essential for calculating the burden of stroke and the planning of prevention and treatment of stroke patients. In the current study we have reviewed the published data from EU countries, Iceland, Norway, and Switzerland, and provide WHO estimates for stroke incidence and prevalence in these countries. Studies on stroke epidemiology published in peer-reviewed journals during the past 10 years were identified using Medline/PubMed searches, and reviewed using the structure of WHO's stroke component of the WHO InfoBase. WHO estimates for stroke incidence and prevalence for each country were calculated from routine mortality statistics. Rates from studies that met the 'ideal' criteria were compared with WHO's estimates. Forty-four incidence studies and 12 prevalence studies were identified. There were several methodological differences that hampered comparisons of data. WHO stroke estimates were in good agreement with results from 'ideal' stroke population studies. According to the WHO estimates the number of stroke events in these selected countries is likely to increase from 1.1 million per year in 2000 to more than 1.5 million per year in 2025 solely because of the demographic changes. Until better and more stroke studies are available, the WHO stroke estimates may provide the best data for understanding the stroke burden in countries where no stroke data currently exists. A standardized protocol for stroke surveillance is recommended.
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            Epidemiology of ischemic stroke subtypes according to TOAST criteria: incidence, recurrence, and long-term survival in ischemic stroke subtypes: a population-based study.

            The purpose of this study was to determine the incidence, recurrence, and long-term survival rates of ischemic stroke subtypes by a mechanism-based classification scheme (Trial of ORG 10172 in Acute Stroke Treatment, or TOAST). We identified all 583 residents of the city of Erlangen, Bavaria, Germany, with a first ischemic stroke between 1994 and 1998. Multiple overlapping sources of information were used to ensure completeness of case ascertainment. The cause of ischemic stroke was classified according to the TOAST criteria. Patients were followed up at 3 months and 1 and 2 years after stroke onset. The age-standardized incidence rates for the European population (per 100 000) regarding ischemic stroke subtypes were as follows: cardioembolism, 30.2 (95% CI 25.6 to 35.7); small-artery occlusion, 25.8 (95% CI 21.5 to 30.9); and large-artery atherosclerosis, 15.3 (95% CI 12 to 19.3). When age-adjusted to the European population, the incidence rate for large-artery atherosclerosis was more than twice as high for men than for women (23.6/100 000 versus 9.2/100 000). Two years after onset, patients in the small-artery occlusion subgroup were 3 times more likely to be alive than those with cardioembolism. Ischemic stroke subtype according to the TOAST criteria was a significant predictor for long-term survival, whereas subtype was not a significant predictor of long-term recurrence up to 2 years, both before and after adjustment for age and sex. Epidemiological observational studies that possess wide access to appropriate diagnostic technologies and apply standardized etiologic classifications provide a much better understanding of underlying risk factors for initial stroke, recurrence, and mortality.
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              Socioeconomic status and stroke.

              This paper reviews the current evidence for the association between socioeconomic status and stroke incidence, survival, mortality, and other outcomes. The evidence is strongest for mortality and incidence of stroke, with high rates of stroke in low socioeconomic groups being a consistent finding. Low socioeconomic groups also have lower survival and greater stroke severity than high socioeconomic groups, although there is less evidence for this association. The mechanisms through which socioeconomic status affects stroke risk and outcomes are unclear but some studies report that differences in risk-factor prevalence could account for some of the variation. We discuss the implications of these findings and make recommendations for future research. Studies using prospective population-based methods with improved control for confounding factors are needed to confirm or refute these associations. Understanding the causal associations between socioeconomic status and stroke will allow interventions to be appropriately targeted and assessed.
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                Author and article information

                Contributors
                Role: Formal analysisRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 February 2019
                2019
                : 14
                : 2
                : e0212519
                Affiliations
                [1 ] Semmelweis University, Department of Neurology, Budapest, Hungary
                [2 ] Institute of Experimental Medicine of the Hungarian Academy of Sciences, Budapest, Hungary
                Montana State University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-0785-8280
                Article
                PONE-D-18-30883
                10.1371/journal.pone.0212519
                6382147
                30785925
                73cfcce3-9ec5-48de-a5e4-d1732acdc80c
                © 2019 Szőcs et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 October 2018
                : 4 February 2019
                Page count
                Figures: 10, Tables: 4, Pages: 19
                Funding
                Funded by: Hungarian Brain Research Program
                Award ID: KTIA-NAP-13-1-2013-0001
                Award Recipient :
                Funded by: New National Excellence Program
                Award ID: UNKP-17-3
                Award Recipient :
                Funded by: Semmelweis University
                Award ID: EFOP-3.6.3-VEKOP-16-2017-00009
                Award Recipient :
                The work was partly supported by grants from the National Brain Research Program (KTIA-NAP-13-1-2013-0001), the New National Excellence Program (UNKP-17-3) of the Ministry of Human Resources of the Government of Hungary and by Semmelweis University (EFOP-3.6.3-VEKOP-16-2017-00009). DB, AA and FO were supported by the grant no. KTIA-NAP-13-1-2013-0001 from the Hungarian Brain Research Program and by the New National Excellence Program (UNKP-17-3). IS was supported by the grant no. EFOP-3.6.3-VEKOP-16-2017-00009. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. http://www.agykutatas.com; http://www.kormany.hu/hu/emberi-eroforrasok-miniszteriuma/oktatasert-felelos-allamtitkarsag/hirek/az-uj-nemzeti-kivalosag-program.
                Categories
                Research Article
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                People and places
                Geographical locations
                Europe
                European Union
                Hungary
                People and Places
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                Age Groups
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
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                Health Economics
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                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Hemorrhage
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Hemorrhage
                Medicine and Health Sciences
                Vascular Medicine
                Hemorrhage
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
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