Purpose We evaluated whether the severe acute respiratory syndrome coronavirus 2 pandemic was associated with changes in the pattern of acute cardiovascular admissions across European centres. Methods We set-up a multi-centre, multi-national, pan-European observational registry in 15 centres from 12 countries. All consecutive acute admissions to emergency departments and cardiology departments throughout a 1-month period during the COVID-19 outbreak were compared with an equivalent 1-month period in 2019. The acute admissions to cardiology departments were classified into 5 major categories: acute coronary syndrome, acute heart failure, arrhythmia, pulmonary embolism and other. Results Data from 54331 patients were collected and analysed. Nine centres provided data on acute admissions to emergency departments comprising 50384 patients: 20226 in 2020 vs 30158 in 2019 – incidence rate ratio (IRR) with 95% confidence interval (95%CI): 0.66(0.58-0.76). The risk of death at the emergency departments was higher in 2020 vs 2019: odds ratio (OR) with 95%CI: 4.1(3.0-5.8), P<0.0001. All 15 centers provided data on acute cardiology departments admissions: 3007 patients in 2020 vs 4452 in 2019, respectively, IRR(95%CI): 0.68(0.64-0.71). In 2020, there were less admissions with IRR(95%CI): acute coronary syndrome: 0.68(0.63-0.73), acute heart failure: 0.65(0.58-0.74), arrhythmia: 0.66(0.60-0.72), other: 0.68(0.62-0.76); we found a relatively higher percentage of pulmonary embolism admissions in 2020: OR(95%CI): 1.5(1.1-2.1), P=0.02. Among patients with acute coronary syndrome there were fewer admissions with unstable angina: 0.79(0.66-0.94), non-ST segment elevation myocardial infarction: 0.56(0.50-0.64) and ST-segment elevation myocardial infarction: 0.78(0.68-0.89). Conclusion In the European centres during the COVID-19 outbreak, there were fewer acute cardiovascular admissions. Also, fewer patients were admitted to the emergency departments with 4-times higher death risk at the emergency departments.

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scCO processing preserves initial mechanical and structural properties of porcine and bovine pericardium, while glutaraldehyde processing damages the extracellular matrix of bovine pericardium. Decellularisation of tissue using scCO might give long-term solutions for cardio-thoracic surgery without compromising initial good mechanical properties.

Cardiac surgery patients infrequently mobilize during their hospital stay. It is unclear for patients why mobilization is important, and exact progress of mobilization activities is not available. The aim of this study was to select and evaluate accelerometers for objective qualification of in-hospital mobilization after cardiac surgery. Six static and dynamic patient activities were defined to measure patient mobilization during the postoperative hospital stay. Device requirements were formulated, and the available devices reviewed. A triaxial accelerometer (AX3, Axivity) was selected for a clinical pilot in a heart surgery ward and placed on both the upper arm and upper leg. An artificial neural network algorithm was applied to classify lying in bed, sitting in a chair, standing, walking, cycling on an exercise bike, and walking the stairs. The primary endpoint was the daily amount of each activity performed between 7 a.m. and 11 p.m. The secondary endpoints were length of intensive care unit stay and surgical ward stay. A subgroup analysis for male and female patients was planned. In total, 29 patients were classified after cardiac surgery with an intensive care unit stay of 1 (1 to 2) night and surgical ward stay of 5 (3 to 6) nights. Patients spent 41 (20 to 62) min less time in bed for each consecutive hospital day, as determined by a mixed-model analysis (p < 0.001). Standing, walking, and walking the stairs increased during the hospital stay. No differences between men (n = 22) and women (n = 7) were observed for all endpoints in this study. The approach presented in this study is applicable for measuring all six activities and for monitoring postoperative recovery of cardiac surgery patients. A next step is to provide feedback to patients and healthcare professionals, to speed up recovery.