RESUMO
INTRODUCTION: We aimed to describe the profile of adult patients and analyze the predictors of death from severe acute respiratory syndrome (SARS) due to coronavirus disease 2019 (COVID-19) in the state of Rio de Janeiro. Knowledge of the predictors of death by COVID-19 in Rio de Janeiro, a state with one of the highest mortality rates in Brazil, is essential to improve health care for these patients. METHODS: Data from the Information System for Epidemiological Surveillance of Influenza and the Mortality Information System were used. A binary logistic regression model evaluated the outcome of death, sociodemographic data, and clinical-epidemiological and health care covariates. Univariate, bivariate, and multivariate statistics were performed with the R program, version 4.0.0. RESULTS: Overall, 51,383 cases of SARS due to COVID-19 among adults were reported in the state between March 5 and December 2, 2020. Mortality was high (40.5%). The adjusted final model presented the following predictors of death in SARS patients due to COVID-19: male sex (odds ratio [OR] = 1.10, 95% confidence interval [CI], 1.04-1.17); age (OR = 5.35, 95%CI, 4.88-5.88; ≥75 years); oxygen saturation <95% (OR = 1.48, 95%CI, 1.37-1.59), respiratory distress (OR = 1.31, 95%CI, 1.21-1.41) and dyspnoea (OR = 1.25, 95%CI, 1.15-1.36), the presence of at least one risk factor/comorbidity (OR = 1.32, 95%CI, 1.23-1.42), chronic kidney disease (OR = 1.94, 95%CI, 1.69-2.23), immunosuppression (OR = 1.51, 95%CI, 1.26-1.81) or chronic neurological disease (OR = 1.36, 95%CI, 1.18-1.58), and ventilatory support, invasive (OR = 8.89, 95%CI, 8.08-9.79) or non-invasive (OR = 1.25, 95%CI, 1.15-1.35). CONCLUSIONS: Factors associated with death were male sex, old age, oxygen saturation <95%, respiratory distress, dyspnoea, chronic kidney and neurological diseases, immunosuppression, and use of invasive or noninvasive ventilatory support. Identifying factors associated with disease progression can help the clinical management of patients with COVID-19 and improve outcomes.
Assuntos
COVID-19 , Síndrome do Desconforto Respiratório , Adulto , Humanos , Masculino , Feminino , COVID-19/epidemiologia , Brasil/epidemiologia , Fatores de Risco , DispneiaRESUMO
Objetivo: descrever a incidência e a sazonalidade de casos notificados no Sistema de Informação de Agravos de Notificação, no estado do Rio de Janeiro, no período de 2017 a 2020. Método: estudo ecológico descritivo, com análise de dados disponibilizados pelo Departamento de Informática do Sistema Único de Saúde. Resultados: foram notificados 156.579 casos no período; 5.970 em 2017; 45.429 em 2018; 99.436 em 2019; e 5.744 em 2020; quanto à sazonalidade, em 2017 destacaram-se os meses de maio a julho; em 2018 e 2019, os meses de abril a junho; e em 2020, o período de janeiro a março. Conclusão: faz-se necessária a intensificação de ações de vigilância nas regiões de maior incidência, direcionando as políticas de controle
Objective: describe the incidence and seasonality of cases reported in the notifiable diseases information system, in the state of Rio de Janeiro, from 2017 to 2020. Method: descriptive ecological study, with analysis of data provided by the Department of Informatics of the Unified Health System. Results: 156,579 cases were reported in the period; 5,970 in 2017; 45,429 in 2018; 99,436 in 2019; and 5,744 in 2020; as for seasonality, in 2017 the months from may to july stood out; in 2018 and 2019, the months from april to june; and in 2020, the period from january to march. Conclusion: it is necessary to intensify surveillance actions in regions with the highest incidence in order to direct control policies
Objetivos: describir la incidencia y la estacionalidad de los casos notificados en el sistema de información de enfermedades de declaración obligatoria, en el estado de Río de Janeiro, de 2017 a 2020. Método: estudio ecológico descriptivo, con análisis de datos proporcionados por el Departamento de Informática del Sistema Único de Salud. Resultados: 156.579 casos fueron notificados en el período; 5.970 en 2017; 45.429 en 2018; 99.436 en 2019; y 5.744 en 2020; en cuanto a la estacionalidad, en 2017 destacaron los meses de mayo a julio; en 2018 y 2019, los meses de abril a junio; y en 2020, el período de enero a marzo. Conclusión: es necesario intensificar las acciones de vigilancia en las regiones de mayor incidencia para orientar las políticas de control