423 results on '"Asselbergs, F. W."'
Search Results
2. Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning
3. Blood pressure-lowering treatment for prevention of major cardiovascular diseases in people with and without type 2 diabetes: an individual participant-level data meta-analysis
4. The benefit of vaccination against COVID-19 outweighs the potential risk of myocarditis and pericarditis
5. Age is the main determinant of COVID-19 related in-hospital mortality with minimal impact of pre-existing comorbidities, a retrospective cohort study
6. The plasma proteome is linked with left ventricular and left atrial function parameters in patients with chronic heart failure.
7. Rationale and design of the PHOspholamban RElated CArdiomyopathy intervention STudy (i-PHORECAST)
8. Pulmonary artery pressure monitoring in chronic heart failure: effects across clinically relevant subgroups in the MONITOR-HF trial
9. Identifying potential drug targets for non-alcoholic fatty liver disease: a drug target Mendelian randomization study
10. The plasma proteome is linked with left ventricular and left atrial function parameters in patients with chronic heart failure
11. Antihypertensive treatment and risk of cancer: an individual participant data meta-analysis
12. Clinical profile and contemporary management of patients with heart failure with preserved ejection fraction: results from the CHECK-HF registry
13. BIO FOr CARE: biomarkers of hypertrophic cardiomyopathy development and progression in carriers of Dutch founder truncating MYBPC3 variants—design and status
14. Risk stratification and subclinical phenotyping of dilated and/or arrhythmogenic cardiomyopathy mutation-positive relatives: CVON eDETECT consortium
15. Pulmonary artery pressure monitoring in chronic heart failure: effects across clinically relevant subgroups in the MONITOR-HF trial
16. The plasma proteome is linked with left ventricular and left atrial function parameters in patients with chronic heart failure
17. The plasma proteome is linked with left ventricular and left atrial function parameters in patients with chronic heart failure
18. Influence of stressful life events and personality traits on PLN cardiomyopathy severity:an exploratory study
19. Influence of stressful life events and personality traits on PLN cardiomyopathy severity: an exploratory study
20. Impact of cardiovascular disease and cardiovascular risk factors in hospitalised COVID-19 patients
21. ONCOR: design of the Dutch cardio-oncology registry
22. Editorial: Unravelling the reality of COVID-19 cardiovascular complications: true myocarditis vs. myocardial injury--the role of a multilayered approach.
23. Multi-omics integration identifies key upstream regulators of pathomechanisms in hypertrophic cardiomyopathy due to truncating MYBPC3 mutations
24. Outcome of mechanical circulatory support at the University Medical Centre Utrecht
25. A randomised comparison of the effect of haemodynamic monitoring with CardioMEMS in addition to standard care on quality of life and hospitalisations in patients with chronic heart failure: Design and rationale of the MONITOR HF multicentre randomised clinical trial
26. The added value of abnormal regional myocardial function for risk prediction in arrhythmogenic right ventricular cardiomyopathy
27. Echocardiographic deformation imaging as a substitute for cardiac magnetic resonance imaging in arrhythmogenic right ventricular cardiomyopathy risk prediction
28. Identifying and ranking novel independent features for cardiovascular disease prediction in people with type 2 diabetes
29. DCM-PROGRESS: predicting end-stage heart failure in non-ischemic dilated cardiomyopathy patients
30. UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking
31. A computerised decision support system for cardiovascular risk management ‘live’ in the electronic health record environment: development, validation and implementation—the Utrecht Cardiovascular Cohort Initiative
32. Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands: CVON-AI consortium
33. Circadian rhythms in pump parameters of patients on contemporary left ventricular assist device support
34. Influence of stressful life events and personality traits on PLN cardiomyopathy severity: an exploratory study.
35. Cardio-oncology: an overview on outpatient management and future developments
36. Circadian rhythms in pump parameters of patients on contemporary left ventricular assist device support
37. Circadian rhythms in pump parameters of patients on contemporary left ventricular assist device support
38. Circulating Acylcarnitines Associated with Hypertrophic Cardiomyopathy Severity:an Exploratory Cross-Sectional Study in MYBPC3 Founder Variant Carriers
39. Circadian rhythms in pump parameters of patients on contemporary left ventricular assist device support
40. Circulating Acylcarnitines Associated with Hypertrophic Cardiomyopathy Severity: an Exploratory Cross-Sectional Study in MYBPC3 Founder Variant Carriers
41. Prognostic value of strain by feature-tracking cardiac magnetic resonance in arrhythmogenic right ventricular cardiomyopathy
42. Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease
43. Thirty years of heart transplantation at the University Medical Centre Utrecht
44. Life-long tailoring of management for patients with hypertrophic cardiomyopathy: Awareness and decision-making in changing scenarios
45. Differences between familial and sporadic dilated cardiomyopathy: ESC EORP Cardiomyopathy & Myocarditis registry
46. Dilated Cardiomyopathy – Results, Conclusions and Perspectives
47. Risk Factors and Prevalence of Dilated Cardiomyopathy in Sub-Saharan Africa: A Systematic Review
48. Longitudinal validation of the phospholamban (PLN) p.Arg14del risk model
49. The effect of eplerenone on the disease onset and progression of phospholamban cardiomyopathy in presymptomatic mutation carriers: results of the i-PHORECAST trial
50. Combining stacked polygenic scores with clinical risk factors improves cardiovascular risk prediction in people with type 2 diabetes
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