Prevalence, predictors, and patient-reported outcomes of long COVID in hospitalized and non-hospitalized patients from the city of São Paulo, Brazil.
Front Public Health
; 11: 1302669, 2023.
Article
en En
| MEDLINE
| ID: mdl-38317683
ABSTRACT
Background:
Robust data comparing long COVID in hospitalized and non-hospitalized patients in middle-income countries are limited.Methods:
A retrospective cohort study was conducted in Brazil, including hospitalized and non-hospitalized patients. Long COVID was diagnosed at 90-day follow-up using WHO criteria. Demographic and clinical information, including the depression screening scale (PHQ-2) at day 30, was compared between the groups. If the PHQ-2 score is 3 or greater, major depressive disorder is likely. Logistic regression analysis identified predictors and protective factors for long COVID.Results:
A total of 291 hospitalized and 1,118 non-hospitalized patients with COVID-19 were included. The prevalence of long COVID was 47.1% and 49.5%, respectively. Multivariable logistic regression showed female sex (odds ratio [OR] = 4.50, 95% confidence interval (CI) 2.51-8.37), hypertension (OR = 2.90, 95% CI 1.52-5.69), PHQ-2 > 3 (OR = 6.50, 95% CI 1.68-33.4) and corticosteroid use during hospital stay (OR = 2.43, 95% CI 1.20-5.04) as predictors of long COVID in hospitalized patients, while female sex (OR = 2.52, 95% CI 1.95-3.27) and PHQ-2 > 3 (OR = 3.88, 95% CI 2.52-6.16) were predictors in non-hospitalized patients.Conclusion:
Long COVID was prevalent in both groups. Positive depression screening at day 30 post-infection can predict long COVID. Early screening of depression helps health staff to identify patients at a higher risk of long COVID, allowing an early diagnosis of the condition.Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Trastorno Depresivo Mayor
/
COVID-19
Tipo de estudio:
Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
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Screening_studies
País/Región como asunto:
America do sul
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Brasil
Idioma:
En
Revista:
Front Public Health
/
Front. public health
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Frontiers in public health
Año:
2023
Tipo del documento:
Article