Objective: to evaluate the performance of the quickSOFA scores and Systemic Inflammatory Response Syndrome as predictors of clinical outcomes in patients admitted to an emergency service.
Method: a retrospective cohort study, involving adult clinical patients admitted to the emergency service. Analysis of the ROC curve was performed to assess the prognostic indexes between scores and outcomes of interest.
Infect Control Hosp Epidemiol
July 2022
Objective: To verify the predictors associated with sick leave from 15 days onwards among Nursing professionals of an emergency hospital service.
Method: A cross-sectional, retrospective, and descriptive-analytical study. The sample consists of the records of sick leave (n=2,403) due to diseases of the Nursing professionals (n=197) working in an emergency hospital service in southern Brazil, from 2013 to 2018.
Objective: To characterize the sociodemographic profile of women victims of sexual violence treated at a university hospital in southern Brazil.
Method: The present cross-sectional study included all female victims of sexual violence who attended the sexual violence unit at the Hospital de Clínicas de Porto Alegre (HCPA, in the Portuguese acronym) from April 18, 2000 to December 31, 2017. Data were extracted from the electronic record of the patients and stored in a standardized questionnaire database with epidemiological aspects of the victim, the perpetrators and the type of aggression.
Rev Assoc Med Bras (1992)
January 2019
Objectives: To create and implement a computerized clinical registry to verify in the short-, medium- and long-term the mortality and the incidence of significant surgical outcomes in adult patients submitted to cardiovascular surgeries.
Methods: This is a prospective, observational registry-based study aimed at documenting the characteristics of patients undergoing cardiovascular surgery.
Results: Variables were standardized according to international references from the Society of Thoracic Surgeons (STS), American College of Cardiology (ACC), Michigan Society of Thoracic and Cardiovascular Surgeons (MSTCVS) and the Department of Informatics of SUS (DATASUS).