Blood glucose and epicardial adipose tissue at the hospital admission as possible predictors for COVID-19 severity.

PURPOSE: To study the possible association of CT-derived quantitative epicardial adipose tissue (EAT) and glycemia at the admission, with severe outcomes in patients with COVID-19. METHODS: Two hundred and twenty-nine patients consecutively hospitalized for COVID-19 from March 1st to June 30th 2020 were studied. Non contrast chest CT scans, to confirm diagnosis of pneumonia, were performed. EAT volume (cm3) and attenuation (Hounsfield units) were measured using a CT post-processing software. The primary outcome was acute respiratory distress syndrome (ARDS) or in-hospital death. RESULTS: The primary outcome occurred in 56.8% patients. Fasting blood glucose was significantly higher in the group ARDS/death than in the group with better prognosis [114 (98-144) vs. 101 (91-118) mg/dl, p = 0.001]. EAT volume was higher in patients with vs without the primary outcome [103 (69.25; 129.75) vs. 78.95 (50.7; 100.25) cm3, p < 0.001] and it was positively correlated with glycemia, PCR, fibrinogen, P/F ratio. In the multivariable logistic regression analysis, age and EAT volume were independently associated with ARDS/death. Glycemia and EAT attenuation would appear to be factors involved in ARDS/death with a trend of statistical significance. CONCLUSIONS: Our findings suggest that both blood glucose and EAT, easily measurable and modifiable targets, could be important predisposing factors for severe Covid-19 complications.

How lockdown measures, during COVID-19 pandemic, matter on psoriatic patient's perception: Study on 600 patients on biologic therapy.

BACKGROUND: The outbreak of coronavirus disease-2019 (COVID-19) is a public health crisis of global proportion. In psoriatic patients treated with biologic agents, evidence is not yet available on susceptibility to infection with the novel SARS-CoV-2 coronavirus, and data about the perception of COVID-19 and its impact on these patients are lacking. AIMS: The aim of this observational, spontaneous study was the evaluation of the impact of anti COVID-19 measures in "fragile population" such as patients with a chronic inflammatory disease. Thus, we evaluated the impact of perceived risk on quality of life of patients with moderate to severe psoriasis, in our outpatient clinic, and how their perceptions changed before and after the adoption of Covid-19 emergency measures following the Italian Ministerial Decree in March 9, 2020. METHODS: Using a series of questions, our study surveyed adult patients with moderate to severe psoriasis receiving treatment with biologic agents (n = 591), before and after the adoption of COVID-19 emergency measures. RESULTS: Most patients (97%) had been sufficiently informed by healthcare staff about COVID-19 spread. A significant change was observed in social activity reduction before and after the adoption of the measures (18% vs. 90% of patients; P < 0.0001). Similarly, patients were more likely to suspend ongoing therapy after the measures were adopted than before (87% vs. 34% of patients; P < 0.0001). Following the measures, older patients were significantly more inclined to suspend therapy and reduce social activities than younger patients. CONCLUSIONS: Government COVID-19 emergency measures further curtailed already reduced social activities in psoriatic patients, and led to a greater inclination to suspend biologic therapy, more so in older patients, despite there being no evidence to support this suspension. These vulnerable patients may need support from clinicians in order to maintain treatment adherence.

A global association between Covid-19 cases and airborne particulate matter at regional level.

Evidences of an association between air pollution and Covid-19 infections are mixed and inconclusive. We conducted an ecological analysis at regional scale of long-term exposure to air-borne particle matter and spread of Covid-19 cases during the first wave of epidemics. Global air pollution and climate data were calculated from satellite earth observation data assimilated into numerical models at 10 km resolution. Main outcome was defined as the cumulative number of cases of Covid-19 in the 14 days following the date when > 10 cumulative cases were reported. Negative binomial mixed effect models were applied to estimate the associations between the outcome and long-term exposure to air pollution at the regional level (PM10, PM2.5), after adjusting for relevant regional and country level covariates and spatial correlation. In total we collected 237,749 Covid-19 cases from 730 regions, 63 countries and 5 continents at May 30, 2020. A 10 µg/m3 increase of pollution level was associated with 8.1% (95% CI 5.4%, 10.5%) and 11.5% (95% CI 7.8%, 14.9%) increases in the number of cases in a 14 days window, for PM2.5 and PM10 respectively. We found an association between Covid-19 cases and air pollution suggestive of a possible causal link among particulate matter levels and incidence of COVID-19.