SummaryBackgroundThe length of time that people with HIV on antiretroviral therapy (ART) with viral load suppression will be able to continue before developing viral rebound is unknown. We aimed to investigate the rate of first viral rebound in people that have achieved initial suppression with ART, to determine factors associated with viral rebound, and to use these estimates to predict long-term durability of viral suppression.MethodsThe UK Collaborative HIV Cohort (UK CHIC) Study is an ongoing multicentre cohort study that brings together in a standardised format data on people with HIV attending clinics around the UK. We included participants who started ART with three or more drugs and who had achieved viral suppression (≤50 copies per mL) by 9 months after the start of ART (baseline). Viral rebound was defined as the first single viral load of more than 200 copies per mL or treatment interruption (for ≥1 month). We investigated factors associated with viral rebound with Poisson regression. These results were used to calculate the rate of viral rebound according to several key factors, including age, calendar year at start of ART, and time since baseline.ResultsOf the 16 101 people included, 4519 had a first viral rebound over 58 038 person-years (7·8 per 100 person-years, 95% CI 7·6–8·0). Of the 4519 viral rebounds, 3105 (69%) were defined by measurement of a single viral load of more than 200 copies per mL, and 1414 (31%) by a documented treatment interruption. The rate of first viral rebound declined substantially over time until 7 years from baseline. The other factors associated with viral rebound were current age at follow-up and calendar year at ART initiation (p<0·0001) and HIV risk group (p<0·0001); higher pre-ART CD4 count (p=0·0008) and pre-ART viral load (p=0·0003) were associated with viral rebound in the multivariate analysis only. For 1322 (29%) of the 3105 people with observed viral rebound, the next viral load value after rebound was 50 copies per mL or less with no regimen change. For HIV-positive men who have sex with men, our estimates suggest that the probability of first viral rebound reaches a plateau of 1·4% per year after 45 years of age, and 1·0% when accounting for the fact that 29% of viral rebounds are temporary elevations.InterpretationA substantial proportion of people on ART will not have viral rebound over their lifetime, which has implications for people with HIV and the planning of future drug development.FundingUK Medical Research Council.

COVID-19 was recognized as a pandemic in the United States in March 2020. Since the emergence, research has explored conditions associated with the illness; however, racial disparities remain underexplored. The purpose of this paper is to explore disparities in conditions associated with an increased severity risk of COVID-19 including race, personal factors, healthcare accessibility, and affordability. Using data from the 2018 National Health Interview Survey (NHIS), univariate and multivariate analysis were performed. More Non-Hispanic (NH) Blacks (61.1%) and NH Whites (61.2%) had conditions associated with increased severity risk of COVID-19 compared to Hispanics (47.1%) (p < .001). Racial differences revealed a higher proportion of NH Blacks with increased severity risk of COVID-19 were female (p < .001), not married (p < .001), not employed for wages (p < .001), had accessibility issues with transportation (p < .001), and had affordability issues with paying for medicine (p < .001). A higher proportion of Hispanic persons had a health place change (p = .020), had accessibility issues (e.g. telephone (p < .001), longer wait times (p < .001), closed facility (p = .038)) and had affordability issue with worrying about pay (p < .001). Significant predictors that were positively associated with increased severity risk of COVID-19 for all racial/ethnic groups were being NH Black, older age, having appointment issues, and affordability issues with medicine. Differences in magnitude across racial group dynamics were observed. Racial disparities exist in conditions associated with increased severity risk of COVID-19. As future policies and interventions are developed, it is important to consider differentials across racial group dynamics.

Racial differences between Black and White women were observed in LBW risk based on socioeconomic factors. We analyzed a large number of stressors, but racial differences remained even after taking these stressors into account. Future policies and research should continually address these differences to decrease LBW risk within and across racial groups.

This paper explores racial disparities and risk factors of adverse pregnancy outcomes in Black and White pregnant women in the US. The study uses a cross-sectional approach to explore Black and White disparities using data from the 2012 National Survey on Drug Use and Health (NSDUH), which collects interview data from approximately 70,000 randomly selected participants. We included several self-reported conditions that we categorised as individual and social stressors (e.g. measures of institutionalised racism, individual health behaviours, access to quality care and social context factors). We used descriptive statistics, univariate and multivariate analyses in risk factors of adverse pregnancy outcomes between Black and White women. Black women who were pregnant had a lower socioeconomic status and experienced more measures of institutionalised racism compared to White women who were pregnant. More white women who were pregnant were married, had higher levels of educational attainment, higher income levels, and greater employment opportunities. White pregnant women also had higher levels of private health insurance and less dependency on government programmes for access to healthcare. Results from the regressions indicated that Black pregnant women were less likely to be married (OR = 0.01), less likely to have higher income levels (OR = 0.31) and less likely to be employed (OR = 0.52). However, Black pregnant women were more likely to be younger (OR = 1.82). For the health-eroding behaviours, Black pregnant women were less likely to smoke (OR = 0.53) and use alcohol (0.52). After assessing the SES Household-level stressors (access to healthcare), Black pregnant women were more likely to have Medicaid/CHIP (OR = 3.21) and health coverage through government assistant programmes (OR = 3.80); however, less likely to have private health insurance (OR = 0.38). There are differences in risk factors of adverse pregnancy outcomes between White and Black pregnant women based on measures of individual level/social stressors, institutionalised racism, health behaviours and access to care.