IMPORTANCE Cardiovascular disease (CVD) is increased among people with HIV (PWH), but little is known regarding the prevalence and extent of coronary artery disease (CAD) and associated biological factors in PWH with low to moderate traditional CVD risk. OBJECTIVES To determine unique factors associated with CVD in PWH and to assess CAD by coronary computed tomography angiography (CTA) and critical pathways of arterial inflammation and immune activation. DESIGN, SETTING, AND PARTICIPANTS This cohort study among male and female PWH, aged 40 to 75 years, without known CVD, receiving stable antiretroviral therapy, and with low to moderate atherosclerotic cardiovascular disease (ASCVD) risk according to the 2013 American College of Cardiology/American Heart Association pooled cohort equation, was part of the Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE), a large, ongoing primary prevention trial of statin therapy among PWH conducted at 31 US sites. Participants were enrolled from May 2015 to February 2018. Data analysis was conducted from May to December 2020. EXPOSURE HIV disease. MAIN OUTCOMES AND MEASURESThe primary outcome was the prevalence and composition of CAD assessed by coronary CTA and, secondarily, the association of CAD with traditional risk indices and circulating biomarkers, including insulin, monocyte chemoattractant protein 1 (MCP-1), interleukin (IL) 6, soluble CD14 (sCD14), sCD163, lipoprotein-associated phospholipase A2 (LpPLA2), oxidized low-density lipoprotein (oxLDL), and high-sensitivity C-reactive protein (hsCRP). RESULTSThe sample included 755 participants, with a mean (SD) age of 51 (6) years, 124 (16%) female participants, 267 (35%) Black or African American participants, 182 (24%) Latinx participants, a low median (interquartile range) ASCVD risk (4.5% [2.6%-6.8%]), and well-controlled viremia.Overall, plaque was seen in 368 participants (49%), including among 52 of 175 participants (30%) with atherosclerotic CVD (ASCVD) risk of less than 2.5%. Luminal obstruction of at least 50% was rare (25 [3%]), but vulnerable plaque and high Leaman score (ie, >5) were more frequently observed (172 of 755 [23%] and 118 of 743 [16%], respectively). Overall, 251 of 718 participants (35%) demonstrated coronary artery calcium score scores greater than 0. IL-6, LpPLA2, oxLDL, and MCP-1 levels were higher in those with plaque compared with those without (eg, median [IQR] IL-6 level, 1.71 [1.05-3.04] pg/mL vs 1.45 [0.96-2.60] pg/mL; P = .008). LpPLA2 and IL-6 levels were associated (continued) Key Points Question What is the extent of coronary artery disease among people with well-controlled HIV and low to moderate risk of atherosclerotic cardiovascular disease (ASCVD), and how is coronary artery disease associated with traditional risk, inflammatory, and immune activation indices? Findings In this cohort study of 755 people with HIV, coronary plaque was highly prevalent. Critical stenosis was rare, but higher-risk plaque features, including vulnerable plaque and high Leaman scores, were seen...

Background Several studies have reported SARS‐CoV‐2 outbreaks in schools, with a wide range of secondary attack rate (SAR; range: 0–100%). We aimed to examine key risk factors to better understand SARS‐CoV‐2 transmission in schools. Methods We collected records of 35 SARS‐CoV‐2 school outbreaks globally published from January 2020 to July 2021 and compiled information on hypothesized risk factors. We utilized the directed acyclic graph (DAG) to conceptualize risk mechanisms, used logistic regression to examine each risk‐factor group, and further built multirisk models. Results The best‐fit model showed that the intensity of community transmission (adjusted odds ratio [aOR]: 1.11, 95% CI: 1.06–1.16, for each increase of 1 case per 10 000 persons per week) and individualism (aOR: 2.72, 95% CI: 1.50–4.95, above vs. below the mean) was associated higher risk, whereas preventive measures (aOR: 0.25, 95% CI: 0.19–0.32, distancing and masking vs. none) and higher population immunity (aOR: 0.57, 95% CI: 0.46–0.71) were associated with lower risk of SARS‐CoV‐2 transmission in schools. Compared with students in high schools, the aOR was 0.47 (95% CI: 0.23–0.95) for students in preschools and 0.90 (95% CI: 0.76–1.08) for students in primary schools. Conclusions Preventive measures in schools (e.g., social distancing and mask wearing) and communal efforts to lower transmission and increase vaccination uptake (i.e., vaccine‐induced population immunity) in the community should be taken to collectively reduce transmission and protect children in schools.

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Background Several studies have reported SARS-CoV-2 outbreaks in schools, with a wide range of secondary attack rate (SAR; range: 0-100%). We aimed to examine the key risk factors to better understand transmission in school settings. Methods We collected records of SARS-CoV-2 school outbreaks globally published from January 2020 to January 2021 and compiled information on hypothesized risk factors. We utilized the directed acyclic graph (DAG) to conceptualize the risk mechanisms, used logistic regression to examine each risk-factor group, and further built multiple variable models based on the marginal analysis. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were calculated. Results From 17 relevant articles, 26 school clusters were included for analysis. The best-fit model showed that the intensity of community transmission (aOR: 1.26; 95% CI: 1.22 - 1.30, for each increase of 10 cases per 100,000 persons per week), social distancing (aOR: 0.26; 95% CI: 0.18 - 0.37), mask-wearing (aOR: 0.52; 95% CI: 0.35 - 0.78) were associated the risk of SARS-CoV-2 infection in schools. Compared to students in pre-schools, the aOR was 0.12 (95% CI: 0.07 - 0.19) for students in primary schools and 1.31 (95% CI: 0.93 - 1.87) for students in high schools. Conclusions Preventive measures in both schools (e.g. social distancing and mask-wearing) and communities (additionally, vaccination) should be taken to collectively reduce transmission and protect children in schools. Flexible reopening policies may be considered for different levels of schools given their risk differences.