Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis.


Journal

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
ISSN: 1532-2092
Titre abrégé: Europace
Pays: England
ID NLM: 100883649

Informations de publication

Date de publication:
01 12 2019
Historique:
received: 11 07 2019
accepted: 26 07 2019
pubmed: 14 8 2019
medline: 15 12 2020
entrez: 14 8 2019
Statut: ppublish

Résumé

To evaluate population-based electronic health record (EHR) definitions of atrial fibrillation (AF) and valvular heart disease (VHD) subtypes, time trends in prevalence and prognosis. A total of 76 019 individuals with AF were identified in England in 1998-2010 in the CALIBER resource, linking primary and secondary care EHR. An algorithm was created, implemented, and refined to identify 18 VHD subtypes using 406 diagnosis, procedure, and prescription codes. Cox models were used to investigate associations with a composite endpoint of incident stroke (ischaemic, haemorrhagic, and unspecified), systemic embolism (SSE), and all-cause mortality. Among individuals with AF, the prevalence of AF with concomitant VHD increased from 11.4% (527/4613) in 1998 to 17.6% (7014/39 868) in 2010 and also in individuals aged over 65 years. Those with mechanical valves, mitral stenosis (MS), or aortic stenosis had highest risk of clinical events compared to AF patients with no VHD, in relative [hazard ratio (95% confidence interval): 1.13 (1.02-1.24), 1.20 (1.05-1.36), and 1.27 (1.19-1.37), respectively] and absolute (excess risk: 2.04, 4.20, and 6.37 per 100 person-years, respectively) terms. Of the 95.2% of individuals with indication for warfarin (men and women with CHA2DS2-VASc ≥1 and ≥2, respectively), only 21.8% had a prescription 90 days prior to the study. Prevalence of VHD among individuals with AF increased from 1998 to 2010. Atrial fibrillation associated with aortic stenosis, MS, or mechanical valves (compared to AF without VHD) was associated with an excess absolute risk of stroke, SSE, and mortality, but anticoagulation was underused in the pre-direct oral anticoagulant (DOAC) era, highlighting need for urgent clarity regarding DOACs in AF and concomitant VHD.

Identifiants

pubmed: 31408153
pii: 5549426
doi: 10.1093/europace/euz220
pmc: PMC6888023
doi:

Substances chimiques

Anticoagulants 0
Factor Xa Inhibitors 0
Warfarin 5Q7ZVV76EI

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1776-1784

Subventions

Organisme : Department of Health
ID : CDF-2015-08-074
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K006584/1
Pays : United Kingdom
Organisme : Arthritis Research UK
Pays : United Kingdom
Organisme : Chief Scientist Office
Pays : United Kingdom
Organisme : Cancer Research UK
Pays : United Kingdom

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.

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Auteurs

Amitava Banerjee (A)

Institute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK.

Victoria Allan (V)

Institute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK.

Spiros Denaxas (S)

Institute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK.

Anoop Shah (A)

Institute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK.

Dipak Kotecha (D)

Institute of Cardiovascular Sciences, Medical School, University of Birmingham, Birmingham B15 2TT, UK.

Pier D Lambiase (PD)

Institute of Cardiovascular Science, University College London, London, UK.

Jacob Joseph (J)

Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Lars H Lund (LH)

Department of Medicine, Karolinska Institutet, Stockholm, Sweden.

Harry Hemingway (H)

Institute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK.

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Classifications MeSH