Literature DB >> 35273122

Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort.

Alex Handy1, Amitava Banerjee2,3,4, Angela M Wood5,6,7,8, Caroline Dale2, Cathie L M Sudlow9,10,11, Christopher Tomlinson2,3,12,13, Daniel Bean14,15,16, Johan H Thygesen2, Mehrdad A Mizani2, Michail Katsoulis2,17, Rohan Takhar2, Sam Hollings18, Spiros Denaxas2,9,13,19, Venexia Walker20, Richard Dobson2,13,14,15,16, Reecha Sofat2,21.   

Abstract

OBJECTIVE: To evaluate antithrombotic (AT) use in individuals with atrial fibrillation (AF) and at high risk of stroke (CHA2DS2-VASc score ≥2) and investigate whether pre-existing AT use may improve COVID-19 outcomes.
METHODS: Individuals with AF and CHA2DS2-VASc score ≥2 on 1 January 2020 were identified using electronic health records for 56 million people in England and were followed up until 1 May 2021. Factors associated with pre-existing AT use were analysed using logistic regression. Differences in COVID-19-related hospitalisation and death were analysed using logistic and Cox regression in individuals with pre-existing AT use versus no AT use, anticoagulants (AC) versus antiplatelets (AP), and direct oral anticoagulants (DOACs) versus warfarin.
RESULTS: From 972 971 individuals with AF (age 79 (±9.3), female 46.2%) and CHA2DS2-VASc score ≥2, 88.0% (n=856 336) had pre-existing AT use, 3.8% (n=37 418) had a COVID-19 hospitalisation and 2.2% (n=21 116) died, followed up to 1 May 2021. Factors associated with no AT use included comorbidities that may contraindicate AT use (liver disease and history of falls) and demographics (socioeconomic status and ethnicity). Pre-existing AT use was associated with lower odds of death (OR=0.92, 95% CI 0.87 to 0.96), but higher odds of hospitalisation (OR=1.20, 95% CI 1.15 to 1.26). AC versus AP was associated with lower odds of death (OR=0.93, 95% CI 0.87 to 0.98) and higher hospitalisation (OR=1.17, 95% CI 1.11 to 1.24). For DOACs versus warfarin, lower odds were observed for hospitalisation (OR=0.86, 95% CI 0.82 to 0.89) but not for death (OR=1.00, 95% CI 0.95 to 1.05).
CONCLUSIONS: Pre-existing AT use may be associated with lower odds of COVID-19 death and, while not evidence of causality, provides further incentive to improve AT coverage for eligible individuals with AF. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  COVID-19; atrial fibrillation; drug monitoring; electronic health records; epidemiology

Mesh:

Substances:

Year:  2022        PMID: 35273122      PMCID: PMC8931797          DOI: 10.1136/heartjnl-2021-320325

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   7.365


  19 in total

Review 1.  Fall risk and anticoagulation for atrial fibrillation in the elderly: A delicate balance.

Authors:  Tracy Hagerty; Michael W Rich
Journal:  Cleve Clin J Med       Date:  2017-01       Impact factor: 2.321

2.  Patients With Atrial Fibrillation Taking Nonsteroidal Anti-Inflammatory Drugs and Oral Anticoagulants in the ARISTOTLE Trial.

Authors:  Frederik Dalgaard; Hillary Mulder; Daniel M Wojdyla; Renato D Lopes; Claes Held; John H Alexander; Raffaele De Caterina; Jeffrey B Washam; Elaine M Hylek; David A Garcia; Bernard J Gersh; Lars Wallentin; Christopher B Granger; Sana M Al-Khatib
Journal:  Circulation       Date:  2019-11-21       Impact factor: 29.690

3.  High prevalence of atrial fibrillation among patients with ischemic stroke.

Authors:  Leif Friberg; Mårten Rosenqvist; Arne Lindgren; Andreas Terént; Bo Norrving; Kjell Asplund
Journal:  Stroke       Date:  2014-07-17       Impact factor: 7.914

Review 4.  Oral Anticoagulation in Patients With Liver Disease.

Authors:  Arman Qamar; Muthiah Vaduganathan; Norton J Greenberger; Robert P Giugliano
Journal:  J Am Coll Cardiol       Date:  2018-05-15       Impact factor: 24.094

Review 5.  Comparison of Propensity Score Methods and Covariate Adjustment: Evaluation in 4 Cardiovascular Studies.

Authors:  Markus C Elze; John Gregson; Usman Baber; Elizabeth Williamson; Samantha Sartori; Roxana Mehran; Melissa Nichols; Gregg W Stone; Stuart J Pocock
Journal:  J Am Coll Cardiol       Date:  2017-01-24       Impact factor: 24.094

6.  A 10 year study of hospitalized atrial fibrillation-related stroke in England and its association with uptake of oral anticoagulation.

Authors:  J Campbell Cowan; Jianhua Wu; Marlous Hall; Andi Orlowski; Robert M West; Chris P Gale
Journal:  Eur Heart J       Date:  2018-08-21       Impact factor: 35.855

7.  Impact of oral anticoagulation on clinical outcomes of COVID-19: a nationwide cohort study of hospitalized patients in Germany.

Authors:  Georg M Fröhlich; Elke Jeschke; Uwe Eichler; Holger Thiele; Laila Alhariri; Markus Reinthaler; Adnan Kastrati; David Manuel Leistner; Carsten Skurk; Ulf Landmesser; Christian Günster
Journal:  Clin Res Cardiol       Date:  2021-01-08       Impact factor: 5.460

8.  Factors associated with COVID-19-related death using OpenSAFELY.

Authors:  Elizabeth J Williamson; Alex J Walker; Krishnan Bhaskaran; Seb Bacon; Chris Bates; Caroline E Morton; Helen J Curtis; Amir Mehrkar; David Evans; Peter Inglesby; Jonathan Cockburn; Helen I McDonald; Brian MacKenna; Laurie Tomlinson; Ian J Douglas; Christopher T Rentsch; Rohini Mathur; Angel Y S Wong; Richard Grieve; David Harrison; Harriet Forbes; Anna Schultze; Richard Croker; John Parry; Frank Hester; Sam Harper; Rafael Perera; Stephen J W Evans; Liam Smeeth; Ben Goldacre
Journal:  Nature       Date:  2020-07-08       Impact factor: 49.962

9.  Pulmonary embolism in COVID-19 patients: a French multicentre cohort study.

Authors:  Charles Fauvel; Orianne Weizman; Antonin Trimaille; Delphine Mika; Thibaut Pommier; Nathalie Pace; Amine Douair; Eva Barbin; Antoine Fraix; Océane Bouchot; Othmane Benmansour; Guillaume Godeau; Yasmine Mecheri; Romane Lebourdon; Cédric Yvorel; Michael Massin; Tiphaine Leblon; Chaima Chabbi; Erwan Cugney; Léa Benabou; Matthieu Aubry; Camille Chan; Ines Boufoula; Clement Barnaud; Léa Bothorel; Baptiste Duceau; Willy Sutter; Victor Waldmann; Guillaume Bonnet; Ariel Cohen; Théo Pezel
Journal:  Eur Heart J       Date:  2020-07-01       Impact factor: 29.983

10.  Impact of anticoagulation prior to COVID-19 infection: a propensity score-matched cohort study.

Authors:  Douglas Tremblay; Maaike van Gerwen; Mathilda Alsen; Santiago Thibaud; Alaina Kessler; Sangeetha Venugopal; Iman Makki; Qian Qin; Sirish Dharmapuri; Tomi Jun; Sheena Bhalla; Shana Berwick; Jonathan Feld; John Mascarenhas; Kevin Troy; Caroline Cromwell; Andrew Dunn; William K Oh; Leonard Naymagon
Journal:  Blood       Date:  2020-07-02       Impact factor: 25.476

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  3 in total

1.  COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records.

Authors:  Johan H Thygesen; Christopher Tomlinson; Sam Hollings; Mehrdad A Mizani; Alex Handy; Ashley Akbari; Amitava Banerjee; Jennifer Cooper; Alvina G Lai; Kezhi Li; Bilal A Mateen; Naveed Sattar; Reecha Sofat; Ana Torralbo; Honghan Wu; Angela Wood; Jonathan A C Sterne; Christina Pagel; William N Whiteley; Cathie Sudlow; Harry Hemingway; Spiros Denaxas
Journal:  Lancet Digit Health       Date:  2022-06-09

2.  Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals.

Authors:  Kawsar Noor; Lukasz Roguski; Xi Bai; Alex Handy; Roman Klapaukh; Amos Folarin; Luis Romao; Joshua Matteson; Nathan Lea; Leilei Zhu; Folkert W Asselbergs; Wai Keong Wong; Anoop Shah; Richard Jb Dobson
Journal:  JMIR Med Inform       Date:  2022-08-24

Review 3.  The potential role of ischaemia-reperfusion injury in chronic, relapsing diseases such as rheumatoid arthritis, Long COVID, and ME/CFS: evidence, mechanisms, and therapeutic implications.

Authors:  Douglas B Kell; Etheresia Pretorius
Journal:  Biochem J       Date:  2022-08-31       Impact factor: 3.766

  3 in total

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