Assessing Predictive Factors of COVID-19 Outcomes: A Retrospective Cohort Study in the Metropolitan Region of São Paulo (Brazil)
| Autor: | Guilherme Meyer, Fernando Capela e Silva, Luís Cláudio Sartori, Paula Midori Castelo, Natália Simões Aderaldo, Juliana Neide Amato, Ferla Maria Simas Bastos Cirino, Luciano José Pereira |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
obesity Medicine (General) Article symbols.namesake R5-920 Diabetes mellitus medicine Humans Social determinants of health Poisson regression Socioeconomic status Retrospective Studies business.industry SARS-CoV-2 Medical record Public health COVID-19 Retrospective cohort study General Medicine medicine.disease Obesity Hospitalization social determinants of health diabetes mellitus symbols Female business Brazil Demography |
| Zdroj: | Medicina, Vol 57, Iss 1068, p 1068 (2021) Medicina Volume 57 Issue 10 |
| ISSN: | 1648-9144 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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