| Grant number: | 18/05512-3 |
| Support Opportunities: | Regular Research Grants |
| Start date: | September 01, 2018 |
| End date: | November 30, 2020 |
| Field of knowledge: | Health Sciences - Medicine - Medical Clinics |
| Principal Investigator: | Alessandra Carvalho Goulart |
| Grantee: | Alessandra Carvalho Goulart |
| Host Institution: | Hospital Universitário (HU). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated researchers: | Isabela Judith Martins Bensenor ; Paulo Andrade Lotufo |
Abstract
Introduction: Stroke causes a high burden of disability and mortality, especially in developing countries, such as Brazil. Thus, this project aims to evaluate stroke epidemiology face on prognostic factors associated with long-term survival over 12 years of follow-up in the EMMA Study (Mortality and Morbidity Stroke Study). Methodology: In addition, to baseline characteristics of stroke, this epidemiological surveillance of stroke includes the recording of fatal events (all-cause mortality, cardiovascular disease (CVD) and stroke) and non-fatal events (disability, depression and cognitive impairment after stroke). It will be the focus of this project to assess the impact of risk factors for cerebrovascular disease: pre-event index (presence of multimorbidities, pharmacotherapy for cardiovascular prevention), post-event index (disability by Rankin-modified scale at 6 months post-stroke, depression and cognitive impairment post-stroke) in the survival of patients with stroke (hemorrhagic and ischemic) up to 12 years of follow-up in the EMMA study. Stroke rates and associated events will be calculated, as well as, case-fatality rates using Chi-square tests for categorical variables and test for continuous variables depending on the distribution whether normal or not (T-Student or Mann-Whitney). In addition, survival analyzes will be performed, including Kaplan-Meier curves and Cox logistic regression for risk ratio (RR) calculation with 95% confidence intervals (95% CI) for all-cause death, CVD and stroke according to potential predictors pre- and post-event index up to 12 years of follow-up. Expected results: To determine the main factors associated with the occurrence of the two major subtypes of stroke, to determine case-fatality rates and long-term mortality by survival analyzes according to main potential predictive risk factors (pre-event: presence of multimorbidities, pharmacotherapy for cardiovascular and post-event prevention: Rankin-modified disability at 6 months post-stroke, depression, and post-stroke cognitive impairment) at follow-up of up to 12 years. Through this long-term project, we intend to offer tools to better approach of patient with high risk for cerebrovascular disease. (AU)
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