Covid-19 Data Analyses in Brazil. Retrospective Study Using an Open Data Plataform (DataSUS) to Describe and Analyze Patient Characteristics and Covid-19 Outcomes in Brazil.
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- AstraZeneca
- Enrollment
- 361,000
- Locations
- 1
- Primary Endpoint
- Hospitalization
Study Overview
Brief Summary
This descriptive study aims to describe the Brazilian scenario of patients hospitalized due to COVID-19 and to analyze the impact of COVID-19 on the Brazilian public health system. Data will be extracted from the largest secondary database of the Brazilian public health system, DATASUS ("Departamento de Informática do Sistema Único de Saúde"), responsible for collecting, processing, analyzing and disseminating health information and statistics in the country. The analysis, performed only on patients hospitalized during the hospitalization episode, will also evaluate the impact of vaccination against COVID-19 on the immunocompromised population compared to the general population.
Detailed Description
This is an observational, retrospective, descriptive study based on a secondary database from the Brazilian public health system. Data were collected from three public databases in a large system (DATASUS). These databases are SRAG ("Síndrome Respiratória Acuta"), SIH ("Sistema de Informação Hospitalar"). All data collected are de-identified, which does not allow the identification of sensitive data of participants. The population of this study would be representative of a significant sample of individuals present in the health records system registered with COVID-19. The data included in this study were acquired between January 2021 and December 2023. This analysis will not include data from specific vaccine brands. The data described refer only to the episode of hospitalization related to COVID-19. The primary objective is to describe the demographic and clinical characteristics of individuals hospitalized for COVID-19 between January 2021 and December 2023, stratified by underlying CI, number of vaccine doses received, age, and period of the predominant variant.
As a secondary objective, it is to describe in-hospital mortality due to COVID-19 among individuals hospitalized for COVID-19 between January 2021 and December 2023, stratified by underlying CI, number of non-CI comorbidities, number of vaccine doses received, age, and period of the predominant variant. And also as an exploratory objective, it is expected to describe the use of hospital healthcare resources (HCRU) and the costs associated with hospitalizations related to COVID-19 between January 2021 and December 2023.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Retrospective
Eligibility Criteria
- Ages
- 18 Years to 80 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •All individuals with COVID-19-related hospitalization. Individuals aged ≥18 years at the time of entry into the database.
Exclusion Criteria
- •Hospitalized patients with incomplete or missing data related to data linked in DATASUS.
Outcomes
Primary Outcomes
Hospitalization
Time Frame: through study completion, an average of 1 year
Descriptive statistics of individuals with COVID-19-related hospitalization for age (mean, SD), age groups (≥18\<64, 65-69, 70-79, 80+);
Incidence of hospital mortality
Time Frame: through study completion, an average of 1 year
Evaluate the hospital mortality rate due to covid
Secondary Outcomes
No secondary outcomes reported