Literature DB >> 28823487

Factors Associated with Anticoagulation Delay Following New-Onset Atrial Fibrillation.

Shaan Khurshid1, Lu-Chen Weng2, Olivia L Hulme2, Patrick T Ellinor3, Steven A Lubitz4.   

Abstract

Oral anticoagulation (OAC) is effective yet reportedly underutilized for stroke prevention in atrial fibrillation (AF). Factors associated with delayed OAC after incident AF are unknown. Using a large electronic medical record, we identified incident episodes of AF diagnosed in 2006 to 2014 using a validated algorithm. Among patients with a Congestive heart failure, Hypertension, Age, Diabetes, and Stroke (CHADS2) score ≥1 started on OAC within 1 year, we examined baseline characteristics at AF diagnosis and their association with time to OAC using multivariable Cox proportional hazards modeling. Of 4,388 patients with incident AF and CHADS2 score ≥1 who were started on OAC within 1 year, the mean age was 72.6, and 41% were women. Median time to OAC was 5 days (interquartile range 1 to 43), and most patients received warfarin (86.3%). Among patients without prevalent stroke, 98 strokes (2.2% of the sample) occurred between AF diagnosis and OAC initiation. In multivariable analyses, several factors were associated with delayed OAC including female gender (hazard ratio [HR] 1.08, 95% confidence interval [CI] 1.01 to 1.15), absence of hypertension (HR 1.15, 95% CI 1.03 to 1.27), previous fall (HR 1.53, 95% CI 1.08 to 2.17), and chronic kidney disease (HR 1.12, 95% CI 1.04 to 1.21). Among women, OAC prescription at 1, 3, and 6 months was 70.0%, 81.7%, and 89.5%, respectively, whereas for men, OAC prescription was 73.4%, 84.0%, and 91.5%, respectively. Most patients with new AF and elevated stroke risk started on OAC receive it within 1 week, although the promptness of initiation varies. The stroke rate is substantial in the period between AF diagnosis and OAC initiation. Interventions targeting identified risk factors for delayed OAC may result in improved outcomes.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28823487      PMCID: PMC5657547          DOI: 10.1016/j.amjcard.2017.07.017

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  16 in total

1.  A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study.

Authors:  Simon Stewart; Carole L Hart; David J Hole; John J V McMurray
Journal:  Am J Med       Date:  2002-10-01       Impact factor: 4.965

2.  The value of the CHA2DS2-VASc score for refining stroke risk stratification in patients with atrial fibrillation with a CHADS2 score 0-1: a nationwide cohort study.

Authors:  Jonas Bjerring Olesen; Christian Torp-Pedersen; Morten Lock Hansen; Gregory Y H Lip
Journal:  Thromb Haemost       Date:  2012-04-03       Impact factor: 5.249

Review 3.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society.

Authors:  Craig T January; L Samuel Wann; Joseph S Alpert; Hugh Calkins; Joaquin E Cigarroa; Joseph C Cleveland; Jamie B Conti; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Katherine T Murray; Ralph L Sacco; William G Stevenson; Patrick J Tchou; Cynthia M Tracy; Clyde W Yancy
Journal:  J Am Coll Cardiol       Date:  2014-03-28       Impact factor: 24.094

4.  Evaluation of risk stratification schemes for ischaemic stroke and bleeding in 182 678 patients with atrial fibrillation: the Swedish Atrial Fibrillation cohort study.

Authors:  Leif Friberg; Mårten Rosenqvist; Gregory Y H Lip
Journal:  Eur Heart J       Date:  2012-01-13       Impact factor: 29.983

5.  Hospitalized patients with atrial fibrillation and a high risk of stroke are not being provided with adequate anticoagulation.

Authors:  Albert L Waldo; Richard C Becker; Victor F Tapson; Kevin J Colgan
Journal:  J Am Coll Cardiol       Date:  2005-10-10       Impact factor: 24.094

6.  Oral anticoagulation use by patients with atrial fibrillation in Germany. Adherence to guidelines, causes of anticoagulation under-use and its clinical outcomes, based on claims-data of 183,448 patients.

Authors:  Thomas Wilke; Antje Groth; Sabrina Mueller; Matthias Pfannkuche; Frank Verheyen; Roland Linder; Ulf Maywald; Thomas Kohlmann; You-Shan Feng; Günter Breithardt; Rupert Bauersachs
Journal:  Thromb Haemost       Date:  2012-03-08       Impact factor: 5.249

7.  Relationships between sinus rhythm, treatment, and survival in the Atrial Fibrillation Follow-Up Investigation of Rhythm Management (AFFIRM) Study.

Authors:  Scott D Corley; Andrew E Epstein; John P DiMarco; Michael J Domanski; Nancy Geller; H Leon Greene; Richard A Josephson; Joyce C Kellen; Richard C Klein; Andrew D Krahn; Mary Mickel; L Brent Mitchell; Joy Dalquist Nelson; Yves Rosenberg; Eleanor Schron; Lynn Shemanski; Albert L Waldo; D George Wyse
Journal:  Circulation       Date:  2004-03-08       Impact factor: 29.690

8.  Risk of stroke after surgery in patients with and without chronic atrial fibrillation.

Authors:  S Kaatz; J D Douketis; H Zhou; B F Gage; R H White
Journal:  J Thromb Haemost       Date:  2010-01-24       Impact factor: 5.824

9.  Atrial fibrillation: a major contributor to stroke in the elderly. The Framingham Study.

Authors:  P A Wolf; R D Abbott; W B Kannel
Journal:  Arch Intern Med       Date:  1987-09

10.  A Simple and Portable Algorithm for Identifying Atrial Fibrillation in the Electronic Medical Record.

Authors:  Shaan Khurshid; John Keaney; Patrick T Ellinor; Steven A Lubitz
Journal:  Am J Cardiol       Date:  2015-11-06       Impact factor: 2.778

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  6 in total

1.  Factors Associated with Falls During Hospitalization for Coronavirus Disease 2019 (COVID-19).

Authors:  Marcin Mikos; Błażej Szydło; Ivan Szergyuk; Maria Helena Santos de Oliveira; Michał Kuboń; Grzegorz Juszczyk; Brandon Michael Henry
Journal:  Med Sci Monit       Date:  2022-05-27

2.  Anticoagulant Therapy for Frail Patients with Atrial Fibrillation.

Authors:  Hiroshi Hori; Takahiko Fukuchi; Hitoshi Sugawara
Journal:  Intern Med       Date:  2021-02-15       Impact factor: 1.271

3.  Identifying At-Risk Patients for Sustained Atrial High-Rate Episodes Using the C2HEST Score: The West Birmingham Atrial Fibrillation Project.

Authors:  Yan-Guang Li; Daniele Pastori; Kazuo Miyazawa; Farhan Shahid; Gregory Y H Lip
Journal:  J Am Heart Assoc       Date:  2021-03-05       Impact factor: 5.501

4.  Atrial Fibrillation Diagnosis using ECG Records and Self-Report in the Community: Cross-Sectional Analysis from ELSA-Brasil.

Authors:  Itamar S Santos; Paulo A Lotufo; Luisa Brant; Marcelo M Pinto Filho; Alexandre da Costa Pereira; Sandhi Maria Barreto; Antonio L Ribeiro; G Neil Thomas; Gregory Y H Lip; Isabela M Bensenor
Journal:  Arq Bras Cardiol       Date:  2021-09       Impact factor: 2.000

5.  Shifting from vitamin K antagonists to non-vitamin K antagonist oral anticoagulants in patients with atrial fibrillation: predictors, patterns and temporal trends.

Authors:  Arthur Shiyovich; Varda Shalev; Gabriel Chodick; Matanya Tirosh; Amos Katz; Miriam M Klar; Mony Shuvy; David Pereg; Sa'ar Minha
Journal:  BMC Cardiovasc Disord       Date:  2021-10-13       Impact factor: 2.298

6.  Frequency of Cardiac Rhythm Abnormalities in a Half Million Adults.

Authors:  Shaan Khurshid; Seung Hoan Choi; Lu-Chen Weng; Elizabeth Y Wang; Ludovic Trinquart; Emelia J Benjamin; Patrick T Ellinor; Steven A Lubitz
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-07
  6 in total

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