Incidence and characteristics of arterial thromboemboli in patients with COVID-19

Background: Studies have reported COVID-19 as an independent risk factor for arterial thromboemboli. Methods: From a cross-sectional sample, we determined the incidence and location of arterial thromboemboli (myocardial infarction, ischemic stroke, peripheral artery), stratified by COVID-19 status, in the RECOVER database, which included data on patients at 45 United States medical centers in 22 states. Epidemiological factors, clinical characteristics and outcomes were collected through a combination of individual chart review and automatic electronic query and recorded in REDCap®. We investigated the association of baseline comorbidities on the development of arterial thromboemboli and analyzed results based on the presence or absence of concomitant COVID-19 infection, testing this association with Chi-squared. We also described use of anticoagulants and statins. Results: Data were collected on 26,974 patients, of which 13,803 (51.17%) tested positive for COVID-19. Incidence of arterial thromboemboli during hospitalization was 0.13% in patients who tested positive for COVID-19 and 0.19% in patients who tested negative. Arterial thromboemboli tended to be more common in extremities than in core organs (heart, kidney, lung, liver) in patients with COVID-19, odds ratio 2.04 (95% CI 0.707 - 5.85). Patients with COVID-19 were less likely to develop an arterial thrombus when on baseline statin medication (p=0.014). Presence of metabolic syndrome predicted presence of core arterial thrombus (p=0.001) and extremity arterial thrombus (p=0.010) in those with COVID-19. Arterial thromboemboli were less common in patients with COVID-19 than in those who tested negative for COVID-19. Conclusions: Presence of a composite metabolic syndrome profile may be associated with arterial clot formation in patients with COVID-19 infection

Sleep Duration and Weight Gain among Students at a Historically Black University

Objective: We investigated sex differences in sleep and examined the association between objectively-measured sleep characteristics and weight gain among 54 black students at a historically black university in spring 2018. Methods: Participants wore a wearable tracker (Fitbit Alta) for an average of 68 days of sleep over the spring semester and 5.5 days of sleep over the spring break. They also completed a questionnaire. Results: Average sleep duration was 6 hours 35 minutes. More women had short sleep (\u3c 7 hours / night) than men (92.1% vs 43.8%; p \u3c .001). Women had shorter sleep (6 hours 24 minutes vs 7 hours 1 minute; p = .003), shorter naps (2 hours 4 minutes vs 2 hours 30 minutes; p = .043), and lower sleep efficiency (93.0% vs 94.1%; p = .048) than men. More women than men experienced weight gain (79.0% vs 68.8%, p \u3c .05). We found an inverse relationship between sleep duration and weight gain in both sexes (r = -0.42, p \u3c .05). Conclusions: Appropriate sleep and weight management should be considered to address sex disparities in sleep and weight gain among black students at historically black universities