COVID-19 Vaccination in People Living with HIV (PLWH) in China: A Cross Sectional Study of Vaccine Hesitancy, Safety, and Immunogenicity.
Ying LiuJunyan HanXin LiDanying ChenXuesen ZhaoYaruo QiuLeidan ZhangJing XiaoBei LiHongxin ZhaoPublished in: Vaccines (2021)
The administration of COVID-19 vaccines is the primary strategy used to prevent further infections by COVID-19, especially in people living with HIV (PLWH), who are at increased risk for severe symptoms and mortality. However, the vaccine hesitancy, safety, and immunogenicity of COVID-19 vaccines among PLWH have not been fully characterized. We estimated vaccine hesitancy and status of COVID-19 vaccination in Chinese PLWH, explored the safety and impact on antiviral therapy (ART) efficacy and compared the immunogenicity of an inactivated vaccine between PLWH and healthy controls (HC). In total, 27.5% (104/378) of PLWH hesitated to take the vaccine. The barriers included concerns about safety and efficacy, and physician counselling might help patients overcome this vaccine hesitancy. A COVID-19 vaccination did not cause severe side effects and had no negative impact on CD4 + T cell counts and HIV RNA viral load. Comparable spike receptor binding domain IgG titer were elicited in PLWH and HC after a second dose of the CoronaVac vaccine, but antibody responses were lower in poor immunological responders (CD4 + T cell counts < 350 cells/µL) compared with immunological responders (CD4 + T cell counts ≥ 350 cells/µL). These data showed that PLWH have comparable safety and immune response following inactivated COVID-19 vaccination compared with HC, but the poor immunological response in PLWH is associated with impaired humoral response.
Keyphrases
- coronavirus disease
- sars cov
- immune response
- induced apoptosis
- hiv infected
- primary care
- cardiovascular disease
- end stage renal disease
- physical activity
- stem cells
- peripheral blood
- chronic kidney disease
- hepatitis c virus
- cell cycle arrest
- antiretroviral therapy
- newly diagnosed
- signaling pathway
- machine learning
- transcription factor
- hiv aids
- bone marrow
- inflammatory response
- dendritic cells
- prognostic factors
- artificial intelligence
- hiv testing
- deep learning
- pi k akt