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GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study
OBJECTIVES: To externally validate the accuracy of the Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) model against existing risk scores for stroke and major bleeding risk in patients with non-valvular AF in a population-based cohort. DESIGN: Retrospective cohort study....
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858250/ https://www.ncbi.nlm.nih.gov/pubmed/31719095 http://dx.doi.org/10.1136/bmjopen-2019-033283 |
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author | Dalgaard, Frederik Pieper, Karen Verheugt, Freek Camm, A John Fox, Keith AA Kakkar, Ajay K Pallisgaard, Jannik L Rasmussen, Peter V van Weert, Henk Lindhardt, Tommi Bo Torp-Pedersen, Christian Gislason, Gunnar H Ruwald, Martin H Harskamp, Ralf E |
author_facet | Dalgaard, Frederik Pieper, Karen Verheugt, Freek Camm, A John Fox, Keith AA Kakkar, Ajay K Pallisgaard, Jannik L Rasmussen, Peter V van Weert, Henk Lindhardt, Tommi Bo Torp-Pedersen, Christian Gislason, Gunnar H Ruwald, Martin H Harskamp, Ralf E |
author_sort | Dalgaard, Frederik |
collection | PubMed |
description | OBJECTIVES: To externally validate the accuracy of the Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) model against existing risk scores for stroke and major bleeding risk in patients with non-valvular AF in a population-based cohort. DESIGN: Retrospective cohort study. SETTING: Danish nationwide registries. PARTICIPANTS: 90 693 patients with newly diagnosed non-valvular AF were included between 2010 and 2016, with follow-up censored at 1 year. PRIMARY AND SECONDARY OUTCOME MEASURES: External validation was performed using discrimination and calibration plots. C-statistics were compared with CHA(2)DS(2)VASc score for ischaemic stroke/systemic embolism (SE) and HAS-BLED score for major bleeding/haemorrhagic stroke outcomes. RESULTS: Of the 90 693 included, 51 180 patients received oral anticoagulants (OAC). Overall median age (Q1, Q3) were 75 (66–83) years and 48 486 (53.5%) were male. At 1-year follow-up, a total of 2094 (2.3%) strokes/SE, 2642 (2.9%) major bleedings and 10 915 (12.0%) deaths occurred. The GARFIELD-AF model was well calibrated with the predicted risk for stroke/SE and major bleeding. The discriminatory value of GARFIELD-AF risk model was superior to CHA(2)DS(2)VASc for predicting stroke in the overall cohort (C-index: 0.71, 95% CI: 0.70 to 0.72 vs C-index: 0.67, 95% CI: 0.66 to 0.68, p<0.001) as well as in low-risk patients (C-index: 0.64, 95% CI: 0.59 to 0.69 vs C-index: 0.57, 95% CI: 0.53 to 0.61, p=0.007). The GARFIELD-AF model was comparable to HAS-BLED in predicting the risk of major bleeding in patients on OAC therapy (C-index: 0.64, 95% CI: 0.63 to 0.66 vs C-index: 0.64, 95% CI: 0.63 to 0.65, p=0.60). CONCLUSION: In a nationwide Danish cohort with non-valvular AF, the GARFIELD-AF model adequately predicted the risk of ischaemic stroke/SE and major bleeding. Our external validation confirms that the GARFIELD-AF model was superior to CHA(2)DS(2)VASc in predicting stroke/SE and comparable with HAS-BLED for predicting major bleeding. |
format | Online Article Text |
id | pubmed-6858250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-68582502019-12-03 GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study Dalgaard, Frederik Pieper, Karen Verheugt, Freek Camm, A John Fox, Keith AA Kakkar, Ajay K Pallisgaard, Jannik L Rasmussen, Peter V van Weert, Henk Lindhardt, Tommi Bo Torp-Pedersen, Christian Gislason, Gunnar H Ruwald, Martin H Harskamp, Ralf E BMJ Open Cardiovascular Medicine OBJECTIVES: To externally validate the accuracy of the Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) model against existing risk scores for stroke and major bleeding risk in patients with non-valvular AF in a population-based cohort. DESIGN: Retrospective cohort study. SETTING: Danish nationwide registries. PARTICIPANTS: 90 693 patients with newly diagnosed non-valvular AF were included between 2010 and 2016, with follow-up censored at 1 year. PRIMARY AND SECONDARY OUTCOME MEASURES: External validation was performed using discrimination and calibration plots. C-statistics were compared with CHA(2)DS(2)VASc score for ischaemic stroke/systemic embolism (SE) and HAS-BLED score for major bleeding/haemorrhagic stroke outcomes. RESULTS: Of the 90 693 included, 51 180 patients received oral anticoagulants (OAC). Overall median age (Q1, Q3) were 75 (66–83) years and 48 486 (53.5%) were male. At 1-year follow-up, a total of 2094 (2.3%) strokes/SE, 2642 (2.9%) major bleedings and 10 915 (12.0%) deaths occurred. The GARFIELD-AF model was well calibrated with the predicted risk for stroke/SE and major bleeding. The discriminatory value of GARFIELD-AF risk model was superior to CHA(2)DS(2)VASc for predicting stroke in the overall cohort (C-index: 0.71, 95% CI: 0.70 to 0.72 vs C-index: 0.67, 95% CI: 0.66 to 0.68, p<0.001) as well as in low-risk patients (C-index: 0.64, 95% CI: 0.59 to 0.69 vs C-index: 0.57, 95% CI: 0.53 to 0.61, p=0.007). The GARFIELD-AF model was comparable to HAS-BLED in predicting the risk of major bleeding in patients on OAC therapy (C-index: 0.64, 95% CI: 0.63 to 0.66 vs C-index: 0.64, 95% CI: 0.63 to 0.65, p=0.60). CONCLUSION: In a nationwide Danish cohort with non-valvular AF, the GARFIELD-AF model adequately predicted the risk of ischaemic stroke/SE and major bleeding. Our external validation confirms that the GARFIELD-AF model was superior to CHA(2)DS(2)VASc in predicting stroke/SE and comparable with HAS-BLED for predicting major bleeding. BMJ Publishing Group 2019-11-11 /pmc/articles/PMC6858250/ /pubmed/31719095 http://dx.doi.org/10.1136/bmjopen-2019-033283 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Cardiovascular Medicine Dalgaard, Frederik Pieper, Karen Verheugt, Freek Camm, A John Fox, Keith AA Kakkar, Ajay K Pallisgaard, Jannik L Rasmussen, Peter V van Weert, Henk Lindhardt, Tommi Bo Torp-Pedersen, Christian Gislason, Gunnar H Ruwald, Martin H Harskamp, Ralf E GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study |
title | GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study |
title_full | GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study |
title_fullStr | GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study |
title_full_unstemmed | GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study |
title_short | GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation study |
title_sort | garfield-af model for prediction of stroke and major bleeding in atrial fibrillation: a danish nationwide validation study |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858250/ https://www.ncbi.nlm.nih.gov/pubmed/31719095 http://dx.doi.org/10.1136/bmjopen-2019-033283 |
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