Risk factors for hospitalization and death due to COVID-19 among frail community-dwelling elderly people: a retrospective cohort study
São Paulo med. j
; 140(5): 676-681, Sept.-Oct. 2022. tab, graf
Artigo
em Inglês
|
LILACS-Express
| LILACS
| ID: biblio-1410209
Biblioteca responsável:
BR1.1
ABSTRACT
ABSTRACT BACKGROUND:
Advanced age, multiple chronic diseases and frailty have been correlated with worse prognosis among coronavirus disease 2019 (COVID-19) inpatients.OBJECTIVE:
To investigate potential risk factors for hospitalization and death due to COVID-19 among frail community-dwelling elderly people. DESIGN ANDSETTING:
Retrospective cohort study of patients followed up at a geriatric outpatient clinic in Belo Horizonte, Minas Gerais, Brazil.METHODS:
The associations of demographic characteristics (age and sex) and clinical characteristics (frailty, multimorbidity, number of medications with long-term use, obesity, smoking, diabetes mellitus, pulmonary diseases, cardiovascular diseases, cerebrovascular disease, and chronic kidney disease) with the risk of hospitalization and death due to COVID-19 were explored using a multivariable logistic regression model.RESULTS:
5,295 patients (mean age 78.6 ± 9.4 years; 72.6% females) were included. After adjustments, the number of medications with long-term use was found to increase the odds of hospitalization due to COVID-19 (odds ratio, OR 1.13; 95% confidence interval, CI 1.06-1.22). Frailty, multimorbidity and diabetes mellitus also increased the odds of hospitalization (OR 1.06, 95% CI 1.02-1.09; OR 1.17, 95% CI 1.09-1.26; and OR 2.27, 95% CI 1.45-3.54, respectively) and the odds of death due to COVID-19 (OR 1.07, 95% CI 1.00-1.14; OR 1.16, 95% CI 1.03-1.32; and OR 2.69, 95% CI 1.79-6.14, respectively).CONCLUSIONS:
Multimorbidity, frailty and diabetes mellitus increased the odds of hospitalization and death due to COVID-19 and the number of medications with long-term use increased the odds of hospitalization due to COVID-19 among frail community-dwelling elderly people.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Temas:
Geral
Base de dados:
LILACS
Tipo de estudo:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
Inglês
Revista:
São Paulo med. j
Assunto da revista:
Cirurgia Geral
/
Cincia
/
Ginecologia
/
Medicina
/
Medicina Interna
/
Obstetr¡cia
/
Pediatria
/
Sa£de Mental
/
Sa£de P£blica
Ano de publicação:
2022
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
Chief Executive Officer, LifeCodeTM Information System/BR
/
Clínica Mais 60 Saúde/BR
/
Health Policy and Social Protection Research Group/BR
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