Literature DB >> 19190823

Stroke risk in atrial fibrillation patients on warfarin. Predictive ability of risk stratification schemes for primary and secondary prevention.

Daniela Poli1, Emilia Antonucci, Elisa Grifoni, Rosanna Abbate, Gian Franco Gensini, Domenico Prisco.   

Abstract

Atrial fibrillation (AF) patients are widely heterogeneous in terms of ischaemic stroke risk, and several risk stratification schemes have been developed. We performed a prospective study on 662 AF patients on long-term oral anticoagulant therapy (OAT), evaluating the agreement among the different schemes and their correlation with adverse events recorded during follow-up. Patients at low risk were similarly distributed among the different models. Instead, patients classed at moderate risk were 49.2% by CHADS(2) score, 27.6% by NICE and 2.3% by ACCP. As a consequence patients classed at high risk were 46.1% by CHADS(2), 69.8% by NICE and 95.3% by ACCP. CHADS(2 )and NICE scores were associated to the best predictive accuracy. A separate analysis was performed for patients on treatment for secondary prevention, and we observed that they were included in high risk groups by all models, except for 14 patients (6.3%) classed at moderate risk by CHADS(2) even though these patients are at very high risk and the use of aspirin could be unsafe for them. During follow-up 32 major bleeding (1.35 per 100 patient/years) and 39 thrombotic events (1.64 per 100 patient/years) were observed. Among patients on OAT for secondary prevention, both bleeding and thrombotic events mostly occurred in high-risk patients. Even if the absolute rate of adverse events is low, this finding seems to confirm the high stroke risk of this group of patients. For patients on secondary prevention there is no need for further stratification and warfarin should be the treatment of choice.

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Year:  2009        PMID: 19190823

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  13 in total

1.  Bleeding and stroke risk in a real-world prospective primary prevention cohort of patients with atrial fibrillation.

Authors:  Daniela Poli; Sophie Testa; Emilia Antonucci; Elisa Grifoni; Oriana Paoletti; Gregory Y H Lip
Journal:  Chest       Date:  2011-04-21       Impact factor: 9.410

2.  Guideline adherence in antithrombotic treatment after concomitant ablation surgery in atrial fibrillation patients.

Authors:  Henrica N A M van Breugel; Sandro Gelsomino; Pieter W J Lozekoot; Ryan E Accord; Fabiana Lucà; Orlando Parise; Harry J G M Crijns; Jos G Maessen
Journal:  Interact Cardiovasc Thorac Surg       Date:  2013-12-13

3.  To anticoagulate or not to anticoagulate? That is the question : A Medline-based quantitative approach to share evidence on common clinical problems.

Authors:  Simone Birocchi; Giulia Cernuschi; Gian Marco Podda; Giorgio Costantino
Journal:  Intern Emerg Med       Date:  2012-07-31       Impact factor: 3.397

Review 4.  Solutions to Reduce Cardiovascular Events in Patients with Atrial Fibrillation.

Authors:  Maurizio Paciaroni; Giancarlo Agnelli
Journal:  J Atr Fibrillation       Date:  2012-10-06

5.  Atrial fibrillation decision support tool: Population perspective.

Authors:  Mark H Eckman; Alexandru Costea; Mehran Attari; Jitender Munjal; Ruth E Wise; Carol Knochelmann; Matthew L Flaherty; Pete Baker; Robert Ireton; Brett M Harnett; Anthony C Leonard; Dylan Steen; Adam Rose; John Kues
Journal:  Am Heart J       Date:  2017-08-23       Impact factor: 4.749

Review 6.  [Anticoagulation in the elderly].

Authors:  J Harenberg; R Bauersachs; C Diehm; H Lawall; H Burkhardt; H Gerlach; H Darius; H Völler; E Rabe; M Wehling
Journal:  Internist (Berl)       Date:  2010-11       Impact factor: 0.743

Review 7.  Warfarin anticoagulation reversal: management of the asymptomatic and bleeding patient.

Authors:  Michael Makris; Joost J van Veen; Rhona Maclean
Journal:  J Thromb Thrombolysis       Date:  2010-02       Impact factor: 2.300

8.  The risk stratification in atrial fibrillation.

Authors:  Domenico Prisco; Caterina Cenci; Elena Silvestri; Giacomo Emmi; Tommaso Barnini; Carlo Tamburini
Journal:  Intern Emerg Med       Date:  2012-10       Impact factor: 3.397

9.  A new model to predict ischemic stroke in patients with atrial fibrillation using warfarin or direct oral anticoagulants.

Authors:  J'Neka S Claxton; Richard F MacLehose; Pamela L Lutsey; Faye L Norby; Lin Y Chen; Wesley T O'Neal; Alanna M Chamberlain; Lindsay G S Bengtson; Alvaro Alonso
Journal:  Heart Rhythm       Date:  2018-12-12       Impact factor: 6.343

10.  Succinate links atrial dysfunction and cardioembolic stroke.

Authors:  Sarah E Nelson; Zsuzsanna Ament; Zoe Wolcott; Robert E Gerszten; W Taylor Kimberly
Journal:  Neurology       Date:  2019-01-23       Impact factor: 9.910

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