Hospital-wide SARS-CoV-2 antibody screening of 4840 staff members in a University Medical Center in France: a cross-sectional study.

OBJECTIVES: Healthcare workers are more likely to be infected by SARS-CoV-2. In order to assess the infectious risk associated with working in a hospital, we sought to estimate the proportion of healthcare professionals infected with SARS-CoV-2 by screening staff in a University Medical Center in France. SETTING: A hospital-wide screening campaign (comprising a serological test and a questionnaire) ran from 18 May to 26 July 2020. PRIMARY AND SECONDARY OUTCOME MEASURES: The seroprevalence rate was analysed in a multivariate analysis according to sociodemographic variables (age, sex and profession), exposure to SARS-CoV-2 and symptoms. RESULTS: A total of 4840 professionals were included, corresponding to 74.5% of the centre's staff. The seroprevalence rate (95% CI) was 9.7% (7.0% to 12.4%). Contact with a confirmed case of COVID-19 was significantly associated with seropositivity (OR (95% CI: 1.43, (1.15 to 1.78)). The seroprevalence rate was significantly higher among nursing assistants (17.6%) than among other healthcare professionals. The following symptoms were predictive of COVID-19: anosmia (OR (95% CI): 1.55, (1.49 to 1.62)), ageusia (1.21, (1.16 to 1.27)), fever (1.15, (1.12 to 1.18)), myalgia (1.03, (1.01 to 1.06)) and headache (1.03, (1.01 to 1.04)).

Characteristics and outcomes of COVID-19 in hospitalized patients with and without diabetes.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a rapidly progressing pandemic, with four million confirmed cases and 280 000 deaths at the time of writing. Some studies have suggested that diabetes is associated with a greater risk of developing severe forms of COVID-19. The primary objective of the present study was to compare the clinical features and outcomes in hospitalized COVID-19 patients with vs without diabetes. METHODS: All consecutive adult patients admitted to Amiens University Hospital (Amiens, France) with confirmed COVID-19 up until April 21st, 2020, were included. The composite primary endpoint comprised admission to the intensive care unit (ICU) and death. Both components were also analysed separately in a logistic regression analysis and a Cox proportional hazards model. RESULTS: A total of 433 patients (median age: 72; 238 (55%) men; diabetes: 115 (26.6%)) were included. Most of the deaths occurred in non-ICU units and among older adults. Multivariate analyses showed that diabetes was associated neither with the primary endpoint (odds ratio (OR): 1.12; 95% confidence interval (CI): 0.66-1.90) nor with mortality (hazard ratio: 0.73; 95%CI: 0.40-1.34) but was associated with ICU admission (OR: 2.06; 95%CI 1.09-3.92, P = .027) and a longer length of hospital stay. Age was negatively associated with ICU admission and positively associated with death. CONCLUSIONS: Diabetes was prevalent in a quarter of the patients hospitalized with COVID-19; it was associated with a greater risk of ICU admission but not with a significant elevation in mortality. Further investigation of the relationship between COVID-19 severity and diabetes is warranted.

The association between body mass index class and coronavirus disease 2019 outcomes.

BACKGROUND/OBJECTIVES: A growing body of data suggests that obesity influences coronavirus disease 2019 (COVID-19). Our study's primary objective was to assess the association between body mass index (BMI) categories and critical forms of COVID-19. SUBJECTS/METHODS: Data on consecutive adult patients hospitalized with laboratory-confirmed COVID-19 at Amiens University Hospital (Amiens, France) were extracted retrospectively. The association between BMI categories and the composite primary endpoint (admission to the intensive care unit or death) was probed in a logistic regression analysis. RESULTS: In total, 433 patients were included, and BMI data were available for 329: 20 were underweight (6.1%), 95 have a normal weight (28.9%), 90 were overweight (27.4%), and 124 were obese (37.7%). The BMI category was associated with the primary endpoint in the fully adjusted model; the odds ratio (OR) [95% confidence interval (CI)] for overweight and obesity were respectively 1.58 [0.77-3.24] and 2.58 [1.28-5.31]. The ORs [95% CI] for ICU admission were similar for overweight (3.16 [1.29-8.06]) and obesity (3.05 [1.25-7.82]) in the fully adjusted model. The unadjusted ORs for death were similar in all BMI categories while obesity only was associated with higher risk after adjustment. CONCLUSIONS: Our results suggest that overweight (and not only obesity) is associated with ICU admission, but overweight is not associated with death.

Association between renin-angiotensin system inhibitors and COVID-19 complications.

AIMS: To describe the characteristics of patients hospitalized with COVID-19 (including their long-term at-home medication use), and compare them with regard to the course of the disease. To assess the association between renin-angiotensin system inhibitors (RASIs) and disease progression and critical outcomes. METHODS AND RESULTS: All consecutive hospitalized patients with laboratory-confirmed COVID-19 in a university hospital in Amiens (France) were included in this study. The primary composite endpoint was admission to an intensive care unit (ICU) or death before ICU admission. Univariable and multivariable logistic regression models were used to identify factors associated with the composite endpoint. Between 28 February 2020 and 30 March 2020, a total of 499 local patients tested positive for SARS-CoV-2. Of these, 231 were not hospitalized {males 33%; median [interquartile range (IQR)] age: 44 (32-54)}, and 268 were hospitalized [males 58%; median (IQR) age: 73 (61-84)]. A total of 116 patients met the primary endpoint: 47 died before ICU admission, and 69 were admitted to the ICU. Patients meeting the primary endpoint were more likely than patients not meeting the primary endpoint to have coronary heart disease and to have been taking RASIs; however, the two subsets of patients did not differ with regard to median age. After adjustment for other associated variables, the risk of meeting the composite endpoint was 1.73 times higher (odds ratio 1.73, 95% confidence interval 1.02-2.93) in patients treated at baseline with a RASI than in patients not treated with this drug class. This association was confirmed when the analysis was restricted to patients treated with antihypertensive agents. CONCLUSIONS: We highlighted a potential safety signal for RASIs, the long-term use of which was independently associated with a higher risk of severe COVID-19 and a poor outcome. Due to the widespread use of this important drug class, formal proof based on clinical trials is needed to better understand the association between RASIs and complications of COVID-19.