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Paulus Kirchhof

Researcher at University of Birmingham

Publications -  659
Citations -  119822

Paulus Kirchhof is an academic researcher from University of Birmingham. The author has contributed to research in topics: Atrial fibrillation & Medicine. The author has an hindex of 100, co-authored 558 publications receiving 106459 citations. Previous affiliations of Paulus Kirchhof include United States Department of Veterans Affairs & Georgetown University Medical Center.

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Design and rationale of a randomised controlled trial comparing apixaban to phenprocoumon in patients with atrial fibrillation on chronic haemodialysis: the AXADIA-AFNET 8 study

TL;DR: The randomised controlled phase IIIb AXADIA–AFNET 8 trial will evaluate the safety and efficacy of the factor Xa inhibitor apixaban in patients with AF requiring haemodialysis, thus exploring the efficacy of apxaban.
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Impact of standardized MONitoring for Detection of Atrial Fibrillation in Ischemic Stroke (MonDAFIS): Rationale and design of a prospective randomized multicenter study

TL;DR: The MonDAFIS study will be the largest study to date to evaluate whether a prolonged and systematic ECG monitoring during the initial in hospital stay has an impact on secondary stroke prevention and may have the potential to change the current guidelines recommendations regarding ECG workup after ischemic stroke.
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Morbidity and treatment in patients with atrial fibrillation and chronic kidney disease

TL;DR: While CKD patients have received cardioversions, ablations, antiarrhythmic, or anticoagulation drugs significantly less often in their history, current treatments were not different if adjusted for multiple comorbidities, which might indicate an improvement in the often reported therapeutic nihilism in CKD.
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Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference

TL;DR: Implementation of new evidence-based approaches to AF screening and rhythm management can improve outcomes in patients with AF and artificial intelligence (AI) can support all of the above aims, but requires advanced interdisciplinary knowledge and collaboration as well as a better medico-legal framework.