Author | Pinto, Flavia Kelli Alvarenga | |
Author | Coelho, Ronaldo de Almeida | |
Author | Klein, Elizabeth Moreira | |
Author | Pereira, Gerson Fernando Mendes | |
Author | Grinsztejn, Beatriz | |
Author | Amaku, Marcos | |
Access date | 2025-02-18T03:06:22Z | |
Available date | 2025-02-18T03:06:22Z | |
Document date | 2024 | |
Citation | PINTO, Flavia Kelli Alvarenga et al. HIV and SARS-CoV-2 Coinfections in Brazil in 2020: Epidemiological, Sociodemographic, and Clinical Characteristics of 36,746 Cases. Revista da Sociedade Brasileira de Medicina Tropical, v. 57, p. 1-10, Nov. 2024. | en_US |
ISSN | 0037-8682 | en_US |
URI | https://www.arca.fiocruz.br/handle/icict/68602 | |
Sponsorship | This research received no financial support for its development and publication. | en_US |
Language | eng | en_US |
Publisher | Sociedade Brasileira de Medicina Tropical | en_US |
Rights | open access | en_US |
Title | HIV and SARS-CoV-2 Coinfections in Brazil in 2020: Epidemiological, Sociodemographic, and Clinical Characteristics of 36,746 Cases | en_US |
Type | Article | en_US |
DOI | 10.1590/0037-8682-0126-2024 | |
Abstract | Background: This study aimed to identify COVID-19 cases among people living with HIV (PLWH) in Brazil in 2020, describe their clinical, sociodemographic, and epidemiological profiles, and evaluate the factors associated with disease severity. Methods: This cross-sectional study used secondary data obtained from the Brazilian healthcare system. Probabilistic and deterministic data linkage methods were used to identify coinfected patients. Descriptive statistical analysis was conducted, and factors associated with severe cases were evaluated using Pearson's chi-squared test, Student's t-test, and logistic regression. Results: In 2020, 36,746 coinfections were identified, making it one of the largest coinfection databases described worldwide. In total, 4,502 (12.25%) patients had severe cases and 32,244 (87.75%) had non-severe cases. The covariates age (OR=1.05; 95% CI: 1.05-1.06), nonwhite ethnicity (OR=1.68; 95% CI: 1.56-1.81), history of AIDS diagnosis (OR=1.17; 95% CI: 1.08-1.28), recent HIV diagnosis (OR=5.47; 95% CI: 4.25-7.02), absence of antiretroviral therapy (OR=1.70; 95% CI: 1.57-1.84), CD4+ < 200 (OR=6.41; 95% CI: 5.09-8.08), detectable HIV viral load (OR=2.61; 95% CI: 2.21-3.05), ≥ 1 comorbidity (OR=4.09; 95% CI: 3.79-4.41), and ≥ 4 symptoms were associated with increased severity. Conclusions: Multiple factors were linked to severe COVID-19, including uncontrolled HIV infection, age > 50 years, comorbidities, and racial disparities. This study reinforces the importance of maintaining public policies focused on early HIV diagnosis, access and adherence to treatment, especially for minority ethnic groups, and focusing on premature aging in PLWH. | en_US |
Affilliation | Universidade de São Paulo. Faculdade de Medicina Veterinária e Zootecnia. Programa de Pós-Graduação em Epidemiologia e Saúde Única. São Paulo, SP, Brasil / Ministério da Saúde. Departamento de HIV, AIDS, Tuberculose, Hepatites Virais e Infecções Sexualmente Transmissíveis. Brasília, DF, Brasil. | en_US |
Affilliation | Ministério da Saúde. Departamento de HIV, AIDS, Tuberculose, Hepatites Virais e Infecções Sexualmente Transmissíveis. Brasília, DF, Brasil. | en_US |
Affilliation | Ministério da Saúde. Departamento de Apoio à Gestão da Atenção Primária. Brasília, DF, Brasil. | en_US |
Affilliation | Ministério da Saúde. Departamento de HIV, AIDS, Tuberculose, Hepatites Virais e Infecções Sexualmente Transmissíveis. Brasília, DF, Brasil. | en_US |
Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST e AIDS. Rio de Janeiro, RJ, Brasil. | en_US |
Affilliation | Universidade de São Paulo. Faculdade de Medicina Veterinária e Zootecnia. Programa de Pós-Graduação em Epidemiologia e Saúde Única. São Paulo, SP, Brasil. | en_US |
Subject | COVID-19 | en_US |
Subject | HIV | en_US |
Subject | Risk factors | en_US |
Subject | Brazil | en_US |
e-ISSN | 1678-9849 | |