期刊论文详细信息
Medicina
Assessing Predictive Factors of COVID-19 Outcomes: A Retrospective Cohort Study in the Metropolitan Region of São Paulo (Brazil)
Luciano José Pereira1  Fernando Capela e Silva2  Natália Simões Aderaldo3  Juliana Neide Amato3  Paula Midori Castelo3  Ferla Maria Simas Bastos Cirino4  Luís Cláudio Sartori4  Guilherme Meyer4 
[1] Department of Health Sciences, Universidade Federal de Lavras (UFLA), Lavras 37200-900, Brazil;Department of Medical and Health Sciences, School of Health and Human Development, University of Évora, 7000-671 Évora, Portugal;Department of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema 09913-030, Brazil;Diadema Municipal Health Department, Diadema 09911-160, Brazil;
关键词: SARS-CoV-2;    COVID-19;    social determinants of health;    diabetes mellitus;    obesity;   
DOI  :  10.3390/medicina57101068
来源: DOAJ
【 摘 要 】

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.

【 授权许可】

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