Anticoagulation control, outcomes, and associated factors in long-term-care patients receiving warfarin in Africa: a systematic review

Autor: Tamrat Assefa Tadesse, Gobezie Temesgen Tegegne, Dejuma Yadeta, Legese Chelkaba, Teferi Gedif Fenta

Publikováno v: Thrombosis Journal, Vol 20, Iss 1, Pp 1-12 (2022)

Abstract Background Oral anticoagulation therapy with warfarin requires frequent monitoring level of anticoagulation by the international normalized ratio (INR). In Africa, studies that explore anticoagulation control, treatment outcomes, and associa

Externí odkaz: https://doaj.org/article/cf9f2ad6e26044dfbc7b53d15c2bbcab

Use of simplified HAS‐BLED score in patients with atrial fibrillation receiving warfarin

Autor: Komsing Methavigul, Ratikorn Methavigul

Publikováno v: Journal of Arrhythmia, Vol 35, Iss 5, Pp 711-715 (2019)

Abstract Background Oral anticoagulant drugs are proven to prevent thromboembolism in patients with atrial fibrillation (AF). To date, HAS‐BLED score is used to assess bleeding risk. This study was conducted to compare simplified HAS‐BLED (sHAS�

Externí odkaz: https://doaj.org/article/556013729a944342a01513c86aadca9a

Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study

Autor: Jason Gordon, Max Norman, Michael Hurst, Thomas Mason, Carissa Dickerson, Belinda Sandler, Kevin G. Pollock, Usman Farooqui, Lara Groves, Carmen Tsang, David Clifton, Ameet Bakhai, Nathan R. Hill

Publikováno v: Informatics in Medicine Unlocked, Vol 25, Iss , Pp 100688- (2021)

Objective: To investigate the predictive performance of machine learning (ML) algorithms for estimating anticoagulation control in patients with atrial fibrillation (AF) who are treated with warfarin. Methods: This was a retrospective cohort study of

Externí odkaz: https://doaj.org/article/ddb731d062484e1fb759c5de86125971

Anticoagulation Control and Major Adverse Clinical Events in Patients with Operated Valvular Heart Disease with and without Atrial Fibrillation Receiving Vitamin K Antagonists

Autor: Hanis H. Zulkifly, Daniele Pastori, Deirdre A. Lane, Gregory Y. H. Lip

Publikováno v: Zulkifly, H H, Pastori, D, Lane, D A & Lip, G Y H 2023, ' Anticoagulation Control and Major Adverse Clinical Events in Patients with Operated Valvular Heart Disease with and without Atrial Fibrillation Receiving Vitamin K Antagonists ', Journal of Clinical Medicine, vol. 12, no. 3, 1141 . https://doi.org/10.3390/jcm12031141
Journal of Clinical Medicine
Volume 12
Issue 3
Pages: 1141

Background: Good quality anticoagulation among patients with operated valvular heart disease is needed to reduce ischaemic and thromboembolic complications. There is limited evidence regarding factors that affect anticoagulation control in patients i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4776894820ba5b15db3b0a70dd23720d
https://vbn.aau.dk/da/publications/f17c6746-8fd2-4ff7-beab-fed0bfbe31af

Using machine learning to predict anticoagulation control in atrial fibrillation: a UK Clinical Practice Research Datalink study

Autor: Lara M. Groves, Belinda Sandler, Usman Farooqui, Michael Hurst, Kevin G.J. Pollock, Nathan R. Hill, Max Norman, David A. Clifton, Thomas Mason, Ameet Bakhai, Carmen Tsang, Jason Gordon, Carissa Dickerson

Publikováno v: Informatics in Medicine Unlocked, Vol 25, Iss, Pp 100688-(2021)
Gordon, J, Mason, T, Norman, M, Hurst, M, Dickerson, C, Sandler, B, Pollock, K, Farooqui, U, Groves, L, Tsang, C, Clifton, D, Bakhai, A & Hill, N 2021, ' Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study ', Informatics in Medicine Unlocked, vol. 25, 100688 . https://doi.org/10.1016/j.imu.2021.100688

Objective To investigate the predictive performance of machine learning (ML) algorithms for estimating anticoagulation control in patients with atrial fibrillation (AF) who are treated with warfarin. Methods This was a retrospective cohort study of a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de719c4940c2bb0d62619c65550c3e8
https://ora.ox.ac.uk/objects/uuid:eff541fb-ffdd-4d20-a825-17de38a6208e