Estimated Pulse Wave Velocity Is Associated With All‐Cause Mortality During 8.5 Years Follow‐up in Patients Undergoing Elective Coronary Angiography

Autor: Esben Laugesen, Kevin K. W. Olesen, Christian Daugaard Peters, Niels Henrik Buus, Michael Maeng, Hans Erik Botker, Per L. Poulsen

Publikováno v: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 10 (2022)

Background Estimated pulse wave velocity (ePWV) calculated by equations using age and blood pressure has been suggested as a new marker of mortality and cardiovascular risk. However, the prognostic potential of ePWV during long‐term follow‐up in

Externí odkaz: https://doaj.org/article/65d3d719d23b4800a1e62e6af3edba21

Antithrombotic treatment beyond 1 year after percutaneous coronary intervention in patients with atrial fibrillation

Autor: Thomas Jensen, Pernille G Thrane, Kevin K W Olesen, Morten Würtz, Martin Bødtker Mortensen, Christine Gyldenkerne, Troels Thim, Bjarne Linde Nørgaard, Jesper Møller Jensen, Steen Dalby Kristensen, Jens C Nielsen, John W Eikelboom, Michael Maeng

Publikováno v: Jensen, T, Thrane, P G, Olesen, K K W, Würtz, M, Mortensen, M B, Gyldenkerne, C, Thim, T, Nørgaard, B L, Jensen, J M, Kristensen, S D, Nielsen, J C, Eikelboom, J W & Maeng, M 2023, ' Antithrombotic treatment beyond 1 year after percutaneous coronary intervention in patients with atrial fibrillation ', European heart journal. Cardiovascular pharmacotherapy, vol. 9, no. 3, 208-219 . https://doi.org/10.1093/ehjcvp/pvac058

Aims Beyond 1 year after percutaneous coronary intervention (PCI), guidelines recommend anticoagulant monotherapy in patients with atrial fibrillation (AF) rather than dual therapy with an anticoagulant and an antiplatelet drug. The risks and benefit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7add3fd87c25fefd581498b0774066c2
https://pure.au.dk/portal/da/publications/antithrombotic-treatment-beyond-1-year-after-percutaneous-coronary-intervention-in-patients-with-atrial-fibrillation(9eb5a09e-3167-42a4-abfa-095dd6fb12e6).html

Patient-oriented risk score for predicting death 1 year after myocardial infarction: the SweDen risk score

Autor: Rebecca Tremain, Rylance, Philippe, Wagner, Kevin K W, Olesen, Jonas, Carlson, Joakim, Alfredsson, Tomas, Jernberg, Margret, Leosdottir, Pelle, Johansson, Peter, Vasko, Michael, Maeng, Moman Aladdin, Mohammed, David, Erlinge

Publikováno v: Open heart. 9(2)

Our aim was to derive, based on the SWEDEHEART registry, and validate, using the Western Denmark Heart registry, a patient-oriented risk score, the SweDen score, which could calculate the risk of 1-year mortality following a myocardial infarction (MI

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::703158c9d618826ae071a2ccc2837a91
https://pubmed.ncbi.nlm.nih.gov/36460308

Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction:a nationwide population-based study

Autor: Moman A Mohammad, Kevin K W Olesen, Sasha Koul, Chris P Gale, Rebecca Rylance, Tomas Jernberg, Tomasz Baron, Jonas Spaak, Stefan James, Bertil Lindahl, Michael Maeng, David Erlinge

Publikováno v: Mohammad, M A, Olesen, K K W, Koul, S, Gale, C P, Rylance, R, Jernberg, T, Baron, T, Spaak, J, James, S, Lindahl, B, Maeng, M & Erlinge, D 2022, ' Development and validation of an artificial neural network algorithm to predict mortality and admission to hospital for heart failure after myocardial infarction : a nationwide population-based study ', The Lancet. Digital health, vol. 4, no. 1, pp. e37-e45 . https://doi.org/10.1016/S2589-7500(21)00228-4

BACKGROUND: Patients have an estimated mortality of 15-20% within the first year following myocardial infarction and one in four patients who survive myocardial infarction will develop heart failure, severely reducing quality of life and increasing t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37fcfc0db46686031f708516e8752cd8
https://pure.au.dk/portal/da/publications/development-and-validation-of-an-artificial-neural-network-algorithm-to-predict-mortality-and-admission-to-hospital-for-heart-failure-after-myocardial-infarction(7e65a3be-af8b-447d-bcc8-cc60081bdb2c).html