Literature DB >> 28082669

Stroke as the Initial Manifestation of Atrial Fibrillation: The Framingham Heart Study.

Steven A Lubitz1, Xiaoyan Yin2, David D McManus2, Lu-Chen Weng2, Hugo J Aparicio2, Allan J Walkey2, Jose Rafael Romero2, Carlos S Kase2, Patrick T Ellinor2, Philip A Wolf2, Sudha Seshadri2, Emelia J Benjamin2.   

Abstract

BACKGROUND AND
PURPOSE: To prevent strokes that may occur as the first manifestation of atrial fibrillation (AF), screening programs have been proposed to identify patients with undiagnosed AF who may be eligible for treatment with anticoagulation. However, the frequency with which patients with AF present with stroke as the initial manifestation of the arrhythmia is unknown.
METHODS: We estimated the frequency with which AF may present as a stroke in 1809 community-based Framingham Heart Study participants with first-detected AF and without previous strokes, by tabulating the frequencies of strokes occurring on the same day, within 30 days before, 90 days before, and 365 days before first-detected AF. Using previously reported AF incidence rates, we estimated the incidence of strokes that may represent the initial manifestation of AF.
RESULTS: We observed 87 strokes that occurred ≤1 year before AF detection, corresponding to 1.7% on the same day, 3.4% within 30 days before, 3.7% within 90 days before, and 4.8% ≤1 year before AF detection. We estimated that strokes may present as the initial manifestation of AF at a rate of 2 to 5 per 10 000 person-years, in both men and women.
CONCLUSIONS: We observed that stroke is an uncommon but measureable presenting feature of AF. Our data imply that emphasizing cost-effectiveness of population-wide AF-screening efforts will be important given the relative infrequency with which stroke represents the initial manifestation of AF.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  atrial fibrillation; atrial flutter; incidence; mass screening; stroke

Mesh:

Year:  2017        PMID: 28082669      PMCID: PMC5262530          DOI: 10.1161/STROKEAHA.116.015071

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  12 in total

1.  The Framingham Offspring Study. Design and preliminary data.

Authors:  M Feinleib; W B Kannel; R J Garrison; P M McNamara; W P Castelli
Journal:  Prev Med       Date:  1975-12       Impact factor: 4.018

2.  Feasibility and cost-effectiveness of stroke prevention through community screening for atrial fibrillation using iPhone ECG in pharmacies. The SEARCH-AF study.

Authors:  Nicole Lowres; Lis Neubeck; Glenn Salkeld; Ines Krass; Andrew J McLachlan; Julie Redfern; Alexandra A Bennett; Tom Briffa; Adrian Bauman; Carlos Martinez; Christopher Wallenhorst; Jerrett K Lau; David B Brieger; Raymond W Sy; S Ben Freedman
Journal:  Thromb Haemost       Date:  2014-04-01       Impact factor: 5.249

3.  A randomised controlled trial and cost-effectiveness study of systematic screening (targeted and total population screening) versus routine practice for the detection of atrial fibrillation in people aged 65 and over. The SAFE study.

Authors:  F D R Hobbs; D A Fitzmaurice; J Mant; E Murray; S Jowett; S Bryan; J Raftery; M Davies; G Lip
Journal:  Health Technol Assess       Date:  2005-10       Impact factor: 4.014

4.  Are We Ready for Mass Screening to Detect Atrial Fibrillation?

Authors:  Jeffrey S Healey; Roopinder K Sandhu
Journal:  Circulation       Date:  2015-06-23       Impact factor: 29.690

5.  Cost-effectiveness of mass screening for untreated atrial fibrillation using intermittent ECG recording.

Authors:  Mattias Aronsson; Emma Svennberg; Mårten Rosenqvist; Johan Engdahl; Faris Al-Khalili; Leif Friberg; Viveka Frykman-Kull; Lars-Åke Levin
Journal:  Europace       Date:  2015-04-12       Impact factor: 5.214

6.  Mass Screening for Untreated Atrial Fibrillation: The STROKESTOP Study.

Authors:  Emma Svennberg; Johan Engdahl; Faris Al-Khalili; Leif Friberg; Viveka Frykman; Mårten Rosenqvist
Journal:  Circulation       Date:  2015-04-24       Impact factor: 29.690

7.  Atrial fibrillation after acute stroke.

Authors:  F Vingerhoets; J Bogousslavsky; F Regli; G Van Melle
Journal:  Stroke       Date:  1993-01       Impact factor: 7.914

8.  Cost-effectiveness of a community-based screening programme for chronic atrial fibrillation in Japan.

Authors:  K Maeda; T Shimbo; T Fukui
Journal:  J Med Screen       Date:  2004       Impact factor: 2.136

9.  Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study.

Authors:  Renate B Schnabel; Lisa M Sullivan; Daniel Levy; Michael J Pencina; Joseph M Massaro; Ralph B D'Agostino; Christopher Newton-Cheh; Jennifer F Yamamoto; Jared W Magnani; Thomas M Tadros; William B Kannel; Thomas J Wang; Patrick T Ellinor; Philip A Wolf; Ramachandran S Vasan; Emelia J Benjamin
Journal:  Lancet       Date:  2009-02-28       Impact factor: 79.321

10.  50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort study.

Authors:  Renate B Schnabel; Xiaoyan Yin; Philimon Gona; Martin G Larson; Alexa S Beiser; David D McManus; Christopher Newton-Cheh; Steven A Lubitz; Jared W Magnani; Patrick T Ellinor; Sudha Seshadri; Philip A Wolf; Ramachandran S Vasan; Emelia J Benjamin; Daniel Levy
Journal:  Lancet       Date:  2015-05-07       Impact factor: 79.321

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  20 in total

Review 1.  Population-Based Screening for Atrial Fibrillation.

Authors:  Shaan Khurshid; Jeffrey S Healey; William F McIntyre; Steven A Lubitz
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 17.367

Review 2.  Digital health solutions in the screening of subclinical atrial fibrillation.

Authors:  Sebastian König; Andreas Bollmann; Gerhard Hindricks
Journal:  Herz       Date:  2021-06-04       Impact factor: 1.443

3.  Atrial Cardiopathy and the Risk of Ischemic Stroke in the CHS (Cardiovascular Health Study).

Authors:  Hooman Kamel; Traci M Bartz; Mitchell S V Elkind; Peter M Okin; Evan L Thacker; Kristen K Patton; Phyllis K Stein; Christopher R deFilippi; Rebecca F Gottesman; Susan R Heckbert; Richard A Kronmal; Elsayed Z Soliman; W T Longstreth
Journal:  Stroke       Date:  2018-03-13       Impact factor: 7.914

4.  Design and rationale of a pragmatic trial integrating routine screening for atrial fibrillation at primary care visits: The VITAL-AF trial.

Authors:  Jeffrey M Ashburner; Steven J Atlas; David D McManus; Yuchiao Chang; Ana T Trisini Lipsanopoulos; Leila H Borowsky; Wyliena Guan; Wei He; Patrick T Ellinor; Daniel E Singer; Steven A Lubitz
Journal:  Am Heart J       Date:  2019-06-22       Impact factor: 4.749

5.  Screening for Atrial Fibrillation in Older Adults at Primary Care Visits: VITAL-AF Randomized Controlled Trial.

Authors:  Steven A Lubitz; Steven J Atlas; Jeffrey M Ashburner; Ana T Trisini Lipsanopoulos; Leila H Borowsky; Wyliena Guan; Shaan Khurshid; Patrick T Ellinor; Yuchiao Chang; David D McManus; Daniel E Singer
Journal:  Circulation       Date:  2022-03-02       Impact factor: 29.690

6.  Feasible approaches and implementation challenges to atrial fibrillation screening: a qualitative study of stakeholder views in 11 European countries.

Authors:  Daniel Engler; Coral L Hanson; Lien Desteghe; Giuseppe Boriani; Søren Zöga Diederichsen; Ben Freedman; Elena Palà; Tatjana S Potpara; Henning Witt; Hein Heidbuchel; Lis Neubeck; Renate B Schnabel
Journal:  BMJ Open       Date:  2022-06-21       Impact factor: 3.006

7.  Performance of Atrial Fibrillation Risk Prediction Models in Over 4 Million Individuals.

Authors:  Shaan Khurshid; Uri Kartoun; Jeffrey M Ashburner; Ludovic Trinquart; Anthony Philippakis; Amit V Khera; Patrick T Ellinor; Kenney Ng; Steven A Lubitz
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-12-09

Review 8.  Emerging Technologies for Identifying Atrial Fibrillation.

Authors:  Eric Y Ding; Gregory M Marcus; David D McManus
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 23.213

9.  Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.

Authors:  Soonil Kwon; Joonki Hong; Eue-Keun Choi; Euijae Lee; David Earl Hostallero; Wan Ju Kang; Byunghwan Lee; Eui-Rim Jeong; Bon-Kwon Koo; Seil Oh; Yung Yi
Journal:  JMIR Mhealth Uhealth       Date:  2019-06-06       Impact factor: 4.773

10.  Development and Validation of a Prediction Model for Atrial Fibrillation Using Electronic Health Records.

Authors:  Olivia L Hulme; Shaan Khurshid; Lu-Chen Weng; Christopher D Anderson; Elizabeth Y Wang; Jeffrey M Ashburner; Darae Ko; David D McManus; Emelia J Benjamin; Patrick T Ellinor; Ludovic Trinquart; Steven A Lubitz
Journal:  JACC Clin Electrophysiol       Date:  2019-10-02
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