72; SD=21.50; V1 vs V3=24.54; SD=22.85) and treatment satisfaction (mean change V1 vs V2=17.60; SD=18.76; V1 vs V3=21.04; SD=20.24). In cohort B, mean PACT-Q2 scores at V2 and V3 were significantly higher (p less then 0.001 for all) for dabigatran versus a VKA for treatment convenience (V2=18.38; SE =0.51; V3=23.34; SE=0.51) and satisfaction (V2=15.88; SE=0.39; V3=19.01; SE=0.41). Conclusions Switching to dabigatran from long-term VKA therapy or newly initiated dabigatran is associated with improved patient treatment convenience and satisfaction compared with VKA therapy. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.Objective The role of transoesophageal echocardiography (TOE) in identifying ischaemic stroke aetiology is debated. In 2018, the American Heart Association/American Stroke Association (AHA/ASA) issued class IIa recommendation for echocardiography, with the qualifying statement of use in cases where it will alter management. Hence, we sought to determine the rate at which TOE findings altered management in cases of confirmed ischaemic stroke. Methods We retrospectively analysed TOE cases with confirmed ischaemic stroke at our centre between April 2015 and February 2017. We defined a change in management as the initiation of anticoagulation therapy, antibiotic therapy or patent foramen ovale closure as a direct result of TOE findings. Results There were 185 patients included in this analysis; 19 (10%) experienced a change in management. However, only 7 of the 19 (4% of all subjects) experienced a change in management due to TOE findings. The remaining 12 were initiated on oral antigoagulation as a result of discoveries during routine workup, mainly atrial fibrillation on telemetry monitoring. Conclusions This work suggests an overuse of TOE and provides support for the 2018 AHA/ASA stroke guidelines, which recommend against the routine use of echocardiography in the work up of cerebrovascular accident due to a cardioembolic source. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Objective Morbidity and mortality due to heart failure (HF) as a complication of myocardial infarction (MI) is high, and remains among the leading causes of death and hospitalisation. This study investigated the association between family history of MI with or without HF, and the risk of developing HF after first MI. Methods Through nationwide registries, we identified all individuals aged 18-50 years hospitalised with first MI from 1997 to 2016 in Denmark. We identified 13 810 patients with MI, and the cohort was followed until HF diagnosis, second MI, 3 years after index MI, emigration, death or the end of 2016, whichever occurred first. HRs were estimated by Cox hazard regression models adjusted for sex, age, calendar year and comorbidities (reference patients with no family history of MI). Results After adjustment, we observed an increased risk of MI-induced HF for those having a sibling with MI with HF (HR 2.05, 95% CI 1.02 to 4.12). Those having a sibling with MI without HF also had a significant, but lower increased risk of HF (HR 1.39, 95% CI 1.05 to 1.84). Parental history of MI with or without HF was not associated with HF. Conclusion In this nationwide cohort, sibling history of MI with or without HF was associated with increased risk of HF after first MI, while a parental family history was not, suggesting that shared environmental factors may predominate in the determination of risk for developing HF. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. Selleckchem WRW4 No commercial re-use. See rights and permissions. Published by BMJ.Objectives To identify risk factors and to develop a predictive risk score for pacemaker implantation in patients with atrial fibrillation (AF). Methods Using Danish nationwide registries, patients with newly diagnosed AF from 2000 to 2014 were identified. Cox proportional-hazards regression computed HRs for risk factors of pacemaker implantation. A logistic regression was used to fit a prediction model for 3-month risk of pacemaker implantation and derived a risk score using 80% of the data and its predictive accuracy estimated using the remaining 20%. Results Among 155 934 AF patients included, the median age (IQR) was 75 (65-83) and 51.3% were men. During a median follow-up time of 3.4 (1.2-5.0) years, 8348 (5.4%) patients received a pacemaker implantation. Risk factors of pacemaker implantation were (in order of highest risk first) age above 60 years, congenital heart disease, heart failure at age under 60 years, prior syncope, valvular AF, hypertension, ischaemic heart disease, male sex and diabetes mellitus. The derived risk score assigns points ranging from 1 to 14 to each of these risk factors. The 3-month risk of pacemaker implantation increased from 0.4% (95% CI 0.2 to 0.8) at 1 point to 2.6% (95% CI 1.9 to 3.6) at 18 points. Area under the receiver operator characteristics curve was 62.9 (95% CI 60.3 to 65.5). Conclusion We highlighted risk factors of pacemaker implantation in newly diagnosed AF patients and created a risk score. The clinical utility of the risk score needs further investigation. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Coriander (Coriandrum sativum L.), also known as cilantro, is a globally important vegetable and spice crop. Its genome and that of carrot are models for studying the evolution of the Apiaceae family. Here, we developed the Coriander Genomics Database (CGDB, http//cgdb.bio2db.com/) to collect, store, and integrate the genomic, transcriptomic, metabolic, functional annotation, and repeat sequence data of coriander and carrot to serve as a central online platform for Apiaceae and other related plants. Using these data sets in the CGDB, we intriguingly found that seven transcription factor (TF) families showed significantly greater numbers of members in the coriander genome than in the carrot genome. The highest ratio of the numbers of MADS TFs between coriander and carrot reached 3.15, followed by those for tubby protein (TUB) and heat shock factors. As a demonstration of CGDB applications, we identified 17 TUB family genes and conducted systematic comparative and evolutionary analyses. RNA-seq data deposited in the CGDB also suggest dose compensation effects of gene expression in coriander.