The WOEST 2 registry : a prospective registry on antithrombotic therapy in atrial fibrillation patients undergoing percutaneous coronary intervention

BACKGROUND: Patients on oral anticoagulants (OACs) undergoing percutaneous coronary intervention (PCI) also require aspirin and a P2Y12 inhibitor (triple therapy). However, triple therapy increases bleeding. The use of non-vitamin K antagonist oral anticoagulants (NOACs) and stronger P2Y12 inhibitors has increased. The aim of our study was to gain insight into antithrombotic management over time. METHODS: A prospective cohort study of patients on OACs for atrial fibrillation or a mechanical heart valve undergoing PCI was performed. Thrombotic outcomes were myocardial infarction, stroke, target-vessel revascularisation and all-cause mortality. Bleeding outcome was any bleeding. We report the 30-day outcome. RESULTS: The mean age of the 758 patients was 73.5 ± 8.2 years. The CHA(2)DS(2)-VASc score was ≥ 3 in 82% and the HAS-BLED score ≥ 3 in 44%. At discharge, 47% were on vitamin K antagonists (VKAs), 52% on NOACs, 43% on triple therapy and 54% on dual therapy. Treatment with a NOAC plus clopidogrel increased from 14% in 2014 to 67% in 2019. The rate of thrombotic (4.5% vs 2.0%, p = 0.06) and bleeding (17% vs. 14%, p = 0.42) events was not significantly different in patients on VKAs versus NOACs. Also, the rate of thrombotic (2.9% vs 3.4%, p = 0.83) and bleeding (18% vs 14%, p = 0.26) events did not differ significantly between patients on triple versus dual therapy. CONCLUSIONS: Patients on combined oral anticoagulation and antiplatelet therapy undergoing PCI are elderly and have both a high bleeding and ischaemic risk. Over time, a NOAC plus clopidogrel became the preferred treatment. The rate of thrombotic and bleeding events was not significantly different between patients on triple or dual therapy or between those on VKAs versus NOACs. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s12471-022-01664-0) contains supplementary material, which is available to authorized users

Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning

Background and purpose The electrocardiogram (ECG) is frequently obtained in the work-up of COVID-19 patients. So far, no study has evaluated whether ECG-based machine learning models have added value to predict in-hospital mortality specifically in COVID-19 patients. Methods Using data from the CAPACITY-COVID registry, we studied 882 patients admitted with COVID-19 across seven hospitals in the Netherlands. Raw format 12-lead ECGs recorded within 72 h of admission were studied. With data from five hospitals (n = 634), three models were developed: (a) a logistic regression baseline model using age and sex, (b) a least absolute shrinkage and selection operator (LASSO) model using age, sex and human annotated ECG features, and (c) a pre-trained deep neural network (DNN) using age, sex and the raw ECG waveforms. Data from two hospitals (n = 248) was used for external validation. Results Performances for models a, b and c were comparable with an area under the receiver operating curve of 0.73 (95% confidence interval [CI] 0.65-0.79), 0.76 (95% CI 0.68-0.82) and 0.77 (95% CI 0.70-0.83) respectively. Predictors of mortality in the LASSO model were age, low QRS voltage, ST depression, premature atrial complexes, sex, increased ventricular rate, and right bundle branch block. Conclusion This study shows that the ECG-based prediction models could be helpful for the initial risk stratification of patients diagnosed with COVID-19, and that several ECG abnormalities are associated with in-hospital all-cause mortality of COVID-19 patients. Moreover, this proof-of-principle study shows that the use of pre-trained DNNs for ECG analysis does not underperform compared with time-consuming manual annotation of ECG features

Clinical presentation, disease course, and outcome of COVID-19 in hospitalized patients with and without pre-existing cardiac disease: a cohort study across 18 countries

Aims Patients with cardiac disease are considered high risk for poor outcomes following hospitalization with COVID-19. The primary aim of this study was to evaluate heterogeneity in associations between various heart disease subtypes and in-hospital mortality.Methods and results We used data from the CAPACITY-COVID registry and LEOSS study. Multivariable Poisson regression models were fitted to assess the association between different types of pre-existing heart disease and in-hospital mortality. A total of 16 511 patients with COVID-19 were included (21.1% aged 66-75 years; 40.2% female) and 31.5% had a history of heart disease. Patients with heart disease were older, predominantly male, and often had other comorbid conditions when compared with those without. Mortality was higher in patients with cardiac disease (29.7%; n= 1545 vs. 15.9%; n= 1797). However, following multivariable adjustment, this difference was not significant [adjusted risk ratio (aRR) 1.08, 95% confidence interval (CI) 1.02-1.15; P = 0.12 (corrected for multiple testing)]. Associations with in-hospital mortality by heart disease subtypes differed considerably, with the strongest association for heart failure (aRR 1.19, 95% CI 1.10-1.30; P <0.018) particularly for severe (New York Heart Association class III/IV) heart failure (aRR 1.41, 95% CI 1.20-1.64; P < 0.018). None of the other heart disease subtypes, including ischaemic heart disease, remained significant after multivariable adjustment. Serious cardiac complications were diagnosed in <1% of patients.Conclusion Considerable heterogeneity exists in the strength of association between heart disease subtypes and in-hospital mortality. Of all patients with heart disease, those with heart failure are at greatest risk of death when hospitalized with COVID-19. Serious cardiac complications are rare during hospitalization.[GRAPHICS]

Predictive Performance of Cardiovascular Disease Risk Prediction Algorithms in People Living With HIV

Immunogenetics and cellular immunology of bacterial infectious disease

Progression of liver fibrosis following acute hepatitis C virus infection in HIV-positive MSM

Molecular basis of virus replication, viral pathogenesis and antiviral strategie