Hospital admission and prognosis associated to stroke according to weekdays and socioeconomic status in the Estudo de Mortalidade e Morbidade do Acidente Vascular Cerebral (EMMA)

• Grant number: 11/17082-4
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2011
• End date: October 31, 2012
• Field of knowledge: Health Sciences - Collective Health - Epidemiology
• Principal Investigator: Isabela Judith Martins Bensenor
• Grantee: Juliana Barbosa de Barros
• Host Institution: Hospital Universitário (HU). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Mortality rates associated to stroke in Brazil is the highest in Latin America and one of the higher worldwide. In Brazil, the number of stroke deaths is higher than the number of deaths associated to coronary heart disease. However, we have scarce data about stroke in Brazil. Objective - To analyze the association between stroke and its prognosis with weekdays according to socioeconomic status and gender. Methods - The study will analyze all patients admitted with a diagnosis of stroke in the Hospital Universitário, Universidade de São Paulo, from April 2006 to December 2008, that participate of the Estudo de Mortalidade e Morbidade do Acidente Vascular Cerebral (EMMA). The EMMA is a prospective cohort study that uses the model of World Health Organization Stepwise Approach to Stroke Surveillance (STEPS Stroke) with the objective of studying stroke and its associated risk factors. STEP 1 is the hospital surveillance that analyses the risk factors associated to stroke and the survival at 10, 28, 180 and yearly. Analysis will be restricted to the first stroke episode. The date of the stroke will be transformed in the respective weekday and the entry of data will be done under the supervision of the student. She will also be responsible for the fulfillment of any missing data using telephone contact and verifying the municipal and state mortality system (respectively Pró-AIM and Fundação SEADE). A Kaplan Meyer analysis will be done to evaluate survival according to socioeconomic status and gender, and after compared using the log-rank test. All tests will be bicaudal with a significance < 0.05. Statistical analyses will be done using the software Statistical Package for Social Science - SPSS version 16.0 and the free software R. The analyze will be done by the student under supervision. Expected products - participation in national scientific meetings and a paper published in a national journal. Beyond that, the study will provide a close contact of the student with the routine of a cohort study with long follow-up and the learning related to statistical analysis.