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.

Impact of the COVID-19 pandemic on TB services at ART programmes in low- and middle-income countries: a multi-cohort survey.

INTRODUCTION: COVID-19 stretched healthcare systems to their limits, particularly in settings with a pre-existing high burden of infectious diseases, including HIV and tuberculosis (TB). We studied the impact of COVID-19 on TB services at antiretroviral therapy (ART) clinics in low- and middle-income countries. METHODS: We surveyed ART clinics providing TB services in the International Epidemiology Databases to Evaluate AIDS (IeDEA) consortium in Africa and the Asia-Pacific until July 2021 (TB diagnoses until the end of 2021). We collected site-level data using standardized questionnaires. RESULTS: Of 46 participating ART clinics, 32 (70%) were in Africa and 14 (30%) in the Asia-Pacific; 52% provided tertiary care. Most clinics (85%) reported disrupted routine HIV care services during the pandemic, both in Africa (84%) and the Asia-Pacific (86%). The most frequently reported impacts were on staff (52%) and resource shortages (37%; protective clothing, face masks and disinfectants). Restrictions in TB health services were observed in 12 clinics (26%), mainly reduced access to TB diagnosis and postponed follow-up visits (6/12, 50% each), and restrictions in TB laboratory services (22%). Restrictions of TB services were addressed by dispensing TB drugs for longer periods than usual (7/12, 58%), providing telehealth services (3/12, 25%) and with changes in directly observed therapy (DOT) (e.g. virtual DOT, 3/12). The number of TB diagnoses at participating clinics decreased by 21% in 2020 compared to 2019; the decline was more pronounced in tertiary than primary/secondary clinics (24% vs. 12%) and in sites from the Asia-Pacific compared to Africa (46% vs. 14%). In 2021, TB diagnoses continued to decline in Africa (-8%) but not in the Asia-Pacific (+62%) compared to 2020. During the pandemic, new infection control measures were introduced or intensified at the clinics, including wearing face masks, hand sanitation and patient triage. CONCLUSIONS: The COVID-19 pandemic led to staff shortages, reduced access to TB care and delays in follow-up visits for people with TB across IeDEA sites in Africa and the Asia-Pacific. Increased efforts are needed to restore and secure ongoing access to essential TB services in these contexts.

Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January-March 2021.

We describe severe acute respiratory coronavirus virus 2 (SARS-CoV-2) IgG seroprevalence and antigenemia among patients at a medical center in January-March 2021 using residual clinical blood samples. The overall seroprevalences were 17% by infection and 16% by vaccination. Spent or residual samples are a feasible alternative for rapidly estimating seroprevalence or monitoring trends in infection and vaccination.

Nucleocapsid Antigenemia Is a Marker of Acute SARS-CoV-2 Infection.

Detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is essential for diagnosis, treatment, and infection control. Polymerase chain reaction (PCR) fails to distinguish acute from resolved infections, as RNA is frequently detected after infectiousness. We hypothesized that nucleocapsid in blood marks acute infection with the potential to enhance isolation and treatment strategies. In a retrospective serosurvey of inpatient and outpatient encounters, we categorized samples along an infection timeline using timing of SARS-CoV-2 testing and symptomatology. Among 1860 specimens from 1607 patients, the highest levels and frequency of antigenemia were observed in samples from acute SARS-CoV-2 infection. Antigenemia was higher in seronegative individuals and in those with severe disease. In our analysis, antigenemia exhibited 85.8% sensitivity and 98.6% specificity as a biomarker for acute coronavirus disease 2019 (COVID-19). Thus, antigenemia sensitively and specifically marks acute SARS-CoV-2 infection. Further study is warranted to determine whether antigenemia may aid individualized assessment of active COVID-19.

Characteristics and Risk Factors for Mortality by COVID-19 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021

Background We examined differences in mortality among COVID-19 cases in the first, second and third waves of the COVID-19 pandemic. Methods A retrospective cohort study of COVID-19 cases in Fulton County, Georgia, USA, reported to a public health surveillance from March 2020 through February 2021. We estimated case fatality rates (CFR) by wave and used Cox proportional hazards random effects models in each wave, with random effects at individual and long-term-care-facility level, to determine risk factors associated with rates of mortality. Results Of 75,289 confirmed cases, 4,490 (6%) were diagnosed in wave one (CFR 31 deaths/100,000 person days [pd]), 24,293 (32%) in wave two (CFR 7 deaths/100,000 pd), and 46,506 (62%) in wave three (CFR 9 deaths/100,000 pd). Compared to females, males were more likely to die in each wave: Wave one (adjusted hazard ratio [aHR] 1.5, 95% confidence interval [CI] 1.2–1.8), wave two (aHR 1.5, 95% CI 1.2–1.8), and wave three (aHR 1.7, 95% CI 1.5–2.0). Compared to non-Hispanic Whites, non-Hispanic Blacks were more likely to die in each wave: Wave one (aHR 1.4, 95% CI 1.1–1.8), wave two (aHR 1.5, 95% CI 1.2–1.9), and wave three (aHR 1.7, 95% CI 1.4–2.0). Cases with any disability, chronic renal disease, and cardiovascular disease were more likely to die in each wave compared to those without these comorbidities. Conclusions Our study found gender and racial/ethnic disparities in COVID-19 mortality, and certain comorbidities associated with COVID-19 mortality. These factors have persisted throughout the COVID-19 pandemic waves, despite improvements in diagnosis and treatment.

Tuberculosis treatment within differentiated service delivery models in global HIV/TB programming.

INTRODUCTION: Providing more convenient and patient-centred options for service delivery is a priority within global HIV programmes. These efforts improve patient satisfaction and retention and free up time for providers to focus on new HIV diagnoses or severe illness. Recently, the coronavirus disease 2019 (COVID-19) pandemic precipitated expanded eligibility criteria for these differentiated service delivery (DSD) models to decongest clinics and protect patients and healthcare workers. This has resulted in dramatic scale-up of DSD for antiretroviral therapy, cotrimoxazole and tuberculosis (TB) preventive treatment. While TB treatment among people living with HIV (PLHIV) has traditionally involved frequent, facility-based management, TB treatment can also be adapted within DSD models. Such adaptations could include electronic tools to ensure appropriate clinical management, treatment support, adherence counselling and adverse event (AE) monitoring. In this commentary, we outline considerations for DSD of TB treatment among PLHIV, building on best practices from global DSD model implementation for HIV service delivery. DISCUSSION: In operationalizing TB treatment in DSD models, we consider the following: what activity is being done, when or how often it takes place, where it takes place, by whom and for whom. We discuss considerations for various programme elements including TB screening and diagnosis; medication dispensing; patient education, counselling and support; clinical management and monitoring; and reporting and recording. General approaches include multi-month dispensing for TB medications during intensive and continuation phases of treatment and standardized virtual adherence and AE monitoring. Lastly, we provide operational examples of TB treatment delivery through DSD models, including a conceptual model and an early implementation experience from Zambia. CONCLUSIONS: COVID-19 has catalysed the rapid expansion of differentiated patient-centred service delivery for PLHIV. Expanding DSD models to include TB treatment can capitalize on existing platforms, while providing high-quality, routine treatment, follow-up and patient education and empowerment.

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.

TCA cycle remodeling drives proinflammatory signaling in humans with pulmonary tuberculosis.

The metabolic signaling pathways that drive pathologic tissue inflammation and damage in humans with pulmonary tuberculosis (TB) are not well understood. Using combined methods in plasma high-resolution metabolomics, lipidomics and cytokine profiling from a multicohort study of humans with pulmonary TB disease, we discovered that IL-1ß-mediated inflammatory signaling was closely associated with TCA cycle remodeling, characterized by accumulation of the proinflammatory metabolite succinate and decreased concentrations of the anti-inflammatory metabolite itaconate. This inflammatory metabolic response was particularly active in persons with multidrug-resistant (MDR)-TB that received at least 2 months of ineffective treatment and was only reversed after 1 year of appropriate anti-TB chemotherapy. Both succinate and IL-1ß were significantly associated with proinflammatory lipid signaling, including increases in the products of phospholipase A2, increased arachidonic acid formation, and metabolism of arachidonic acid to proinflammatory eicosanoids. Together, these results indicate that decreased itaconate and accumulation of succinate and other TCA cycle intermediates is associated with IL-1ß-mediated proinflammatory eicosanoid signaling in pulmonary TB disease. These findings support host metabolic remodeling as a key driver of pathologic inflammation in human TB disease.