The association between comorbidities and coronavirus disease 2019 hospitalization among people with HIV differs by age.

OBJECTIVES: To determine whether factors associated with coronavirus disease 2019 (COVID-19) hospitalization among people with HIV (PWH) differ by age stratum. DESIGN: Retrospective cohort study. METHODS: All adult PWH with a positive SARS-CoV-2 PCR in a public safety-net health system between 1 March 2020 and 28 February 2021 and a Veterans Affairs Medical Center between 1 1 March 2020 and 15 November 2020 in Atlanta, Georgia were included. We performed multivariable logistic regression to determine demographic and clinical factors associated with COVID-19 hospitalization overall and stratified by age less than 50 and at least 50 years. RESULTS: Three hundred and sixty-five PWH (mean age 49 years, 74% cisgender male, 82% black) were included. Ninety-six percent were on antiretroviral therapy (ART), 87% had CD4 + T-cell count at least 200 cells/µl, and 89% had HIV-1 RNA less than 200 copies/ml. Overall, age [adjusted odds ratio (aOR) 95% confidence interval (CI) 1.07 (1.04-1.10)], later date of SARS-CoV-2 infection [aOR 0.997 (0.995-1.00)], heart disease [aOR 2.27 (1.06-4.85)], and history of hepatitis C virus (HCV) [aOR 2.59 (1.13-5.89)] were associated with COVID-19 hospitalization. Age-adjusted comorbidity burden was associated with 30% increased risk of hospitalization [aOR 1.30 (1.11-1.54)]. Among 168 PWH less than 50 years old, older age [aOR 1.09 (1.01-1.18)] and no ART use [aOR 40.26 (4.12-393.62)] were associated with hospitalization; age-adjusted comorbidity burden was not ( P  = 0.25). Among 197 PWH at least 50, older age [aOR 1.10 (1.04-1.16)], heart disease [aOR 2.45 (1.04-5.77)], history of HCV [aOR 3.52 (1.29-9.60)], and age-adjusted comorbidity burden [aOR 1.36 (1.12-1.66)] were associated with hospitalization. CONCLUSION: Comorbidity burden is more strongly associated with COVID-19 hospitalization among older, rather than younger, PWH. These findings may have important implications for risk-stratifying COVID-19 therapies and booster recommendations in PWH.

Patient Experiences with Telemedicine for HIV Care During the First COVID-19 Wave in Atlanta, Georgia.

We explored experiences with telemedicine among persons with HIV (PWH) during the first wave of the coronavirus disease 2019 (COVID-19) pandemic. A convenience sample of adults (>18 years) receiving care in an urban clinic in Atlanta were invited to participate. Patients completed a structured survey that assessed the usefulness, quality, satisfaction, and concerns with telemedicine services (telephone calls) received during the first wave of the COVID-19 pandemic (March-May 2020). Demographic, plasma HIV-1 RNA, and CD4+ T cell count data were obtained through medical chart abstraction. Bootstrapped t-tests and chi-square tests were used to examine differences in patient experiences by age, sex, and race. Of 406 PWH contacted, 101 completed the survey (median age 55 years, 84% men, 77% Black, 98% virally suppressed, median CD4 count 572 cells/µL). The main HIV care disruptions experienced were delays in follow-up visits (40%), difficulty getting viral load measured (35%), and difficulty accessing antiretroviral therapy (21%). Participant ratings for quality (median score 6.5/7), usefulness (median score 6.0/7), and satisfaction (median score 6.3/7) with telemedicine were high. However, 28% of patients expressed concerns about providers' ability to examine them and about the lack of laboratory tests. More women had concerns about providers' ability to examine them (92% vs. 50%, p = .005) and about the safety of their personal information (69% vs. 23%, p = .002) compared with men. No age or race differences were observed. Although PWH are generally satisfied with telephone-based telemedicine, concerns with its use were notable, particularly among women. Future HIV telemedicine models should address these.