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Título: Assessing predictive factors of COVID-19 outcomes: a case-control study in the metropolitan region of São Paulo (Brazil)
Palavras-chave: SARS-CoV-2
Social determinants of health
Diabetes mellitus
Data do documento: 6-Out-2021
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
Citação: AMATO, J. N. et al. Assessing predictive factors of COVID-19 outcomes: a case-control study in the metropolitan region of São Paulo (Brazil). Medicina-Lithuania, [S.l.], v. 57, n. 10, p. 1-11, 2021. DOI: 10.3390/medicina57101068.
Resumo: Background and objectives: the aim of this retrospective cohort study was to search individual, sociodemographic and environmental predictors of COVID-19 outcomes. Materials and methods: a convenience sample of 1036 COVID-19 confirmed patients (3–99 years, mean 59 years; 482 females) who sought treatment at the emergency units of the public health system of Diadema (Brazil; March-October 2020) was included. Primary data were collected from medical records: sex, age, occupation/education, onset of symptoms, presence of chronic diseases/treatment and outcome (death and non-death). Secondary socioeconomic and environmental data were provided by the Department of Health. Results: the mean time spent between COVID-19 symptom onset and admission to the health system was 7.4 days. Principal component analysis summarized secondary sociodemographic data, and a Poisson regression model showed that the time between symptom onset and health system admission was higher for younger people and those from the least advantaged regions (availability of electricity, a sewage network, a water supply and garbage collection). A multiple logistic regression model showed an association of age (OR = 1.08; 1.05–1.1), diabetes (OR = 1.9; 1.1–3.4) and obesity (OR = 2.9; 1.1–7.6) with death outcome, while hypertension and sex showed no significant association. Conclusion: the identification of vulnerable groups may help the development of health strategies for the prevention and treatment of COVID-19.
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