Literature DB >> 23073863

The risk stratification in atrial fibrillation.

Domenico Prisco1, Caterina Cenci, Elena Silvestri, Giacomo Emmi, Tommaso Barnini, Carlo Tamburini.   

Abstract

Atrial fibrillation (AF) is the most common rhythm disorder and represents a major public health problem because it carries an increased risk of arterial thromboembolism and ischemic stroke. Because the absolute benefit of antithrombotic therapy depends on the underlying risk of stroke, an accurate stratification of patients' risk is needed to choose the appropriate antithrombotic strategy. Over the years, several stroke risk stratification models (RSMs) were developed based on the 'classic' risk factors for stroke such as increasing age, hypertension, diabetes mellitus, and left ventricular dysfunction. Among all RSMs, the CHADS(2) score is the most popular and used one thanks to its simplicity and endorsement in several widely promulgated practice guidelines. Despite its validation in large datasets and specific population of AF patients, it has many limitations, especially due to the non-inclusion of several proven risk factors for stroke and to the classification of a large number of patients in the intermediate risk category, so creating ambiguity over the most appropriate antithrombotic therapy. Thus, the CHA(2)DS(2)-VASc score was introduced and was demonstrated to perform better than the CHADS(2), even in a "real world" population of elderly AF patients. Recently, in view of the availability of new oral anticoagulant drugs, that can overcome the limitations of warfarin and allow a more personalized therapy, many efforts are being made to identify other possibilities to assess the thromboembolic risk in AF patients. It has been demonstrated that an increase in C-reactive protein and interleukin-6 and the presence of G20210A factor II gene polymorphism and hyper-homocysteinemia are independent risk factors for ischemic complications in AF patients. Even the presence of chronic renal disease and the daily AF burden, registered with implantable monitors, are associated with an increase risk of stroke. Finally, the assessment of thromboembolic risk should go hand in hand with the consideration of the risk of bleeding. For this purpose, it has been recently developed a practical bleeding risk score, the HAS-BLED, which was included in the last ESC guidelines for the risk stratification of AF patients before starting anticoagulant therapy.

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Year:  2012        PMID: 23073863     DOI: 10.1007/s11739-012-0805-x

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  65 in total

1.  Association of the G20210A mutation in the factor II gene with systemic embolism in nonvalvular atrial fibrillation.

Authors:  Vittomo Pengo; Barbara Filippi; Alessandra Biasiolo; Cinzia Pegoraro; Franco Noventa; Sabino Iliceto
Journal:  Am J Cardiol       Date:  2002-09-01       Impact factor: 2.778

2.  Patients with nonvalvular atrial fibrillation at low risk of stroke during treatment with aspirin: Stroke Prevention in Atrial Fibrillation III Study. The SPAF III Writing Committee for the Stroke Prevention in Atrial Fibrillation Investigators.

Authors: 
Journal:  JAMA       Date:  1998 Apr 22-29       Impact factor: 56.272

3.  Culprit factors for the failure of well-conducted warfarin therapy to prevent ischemic events in patients with atrial fibrillation: the role of homocysteine.

Authors:  Daniela Poli; Emilia Antonucci; Emanuele Cecchi; Rossella Marcucci; Agatina Alessandrello Liotta; Anna Paola Cellai; Meri Lenti; Gian Franco Gensini; Rosanna Abbate; Domenico Prisco
Journal:  Stroke       Date:  2005-09-22       Impact factor: 7.914

Review 4.  ABC of atrial fibrillation. Antithrombotic treatment for atrial fibrillation.

Authors:  G Y Lip; G D Lowe
Journal:  BMJ       Date:  1996-01-06

5.  An evaluation of the CHADS₂ stroke risk score in patients with atrial fibrillation who undergo percutaneous coronary revascularization.

Authors:  Juan M Ruiz-Nodar; Francisco Marín; Sergio Manzano-Fernández; José Valencia-Martín; José A Hurtado; Vanessa Roldán; Javier Pineda; Eduardo Pinar; Francisco Sogorb; Mariano Valdés; Gregory Y H Lip
Journal:  Chest       Date:  2010-09-23       Impact factor: 9.410

6.  Identifying patients at high risk for stroke despite anticoagulation: a comparison of contemporary stroke risk stratification schemes in an anticoagulated atrial fibrillation cohort.

Authors:  Gregory Y H Lip; Lars Frison; Jonathan L Halperin; Deirdre A Lane
Journal:  Stroke       Date:  2010-10-21       Impact factor: 7.914

7.  Prognostic significance of raised plasma levels of interleukin-6 and C-reactive protein in atrial fibrillation.

Authors:  Dwayne S g Conway; Peter Buggins; Elizabeth Hughes; Gregory Y H Lip
Journal:  Am Heart J       Date:  2004-09       Impact factor: 4.749

8.  Selecting patients with atrial fibrillation for anticoagulation: stroke risk stratification in patients taking aspirin.

Authors:  Brian F Gage; Carl van Walraven; Lesly Pearce; Robert G Hart; Peter J Koudstaal; B S P Boode; Palle Petersen
Journal:  Circulation       Date:  2004-10-11       Impact factor: 29.690

9.  Antithrombotic therapy in atrial fibrillation: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (8th Edition).

Authors:  Daniel E Singer; Gregory W Albers; James E Dalen; Margaret C Fang; Alan S Go; Jonathan L Halperin; Gregory Y H Lip; Warren J Manning
Journal:  Chest       Date:  2008-06       Impact factor: 9.410

Review 10.  Comparison of 12 risk stratification schemes to predict stroke in patients with nonvalvular atrial fibrillation.

Authors: 
Journal:  Stroke       Date:  2008-04-17       Impact factor: 7.914

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  4 in total

1.  Atrial fibrillation in organ transplant recipients: only a marker of the underlying disease?

Authors:  Francesca Innocenti; Riccardo Pini
Journal:  Intern Emerg Med       Date:  2018-11-29       Impact factor: 3.397

2.  A prospective validation of the SAME-TT2R 2 score: how to identify atrial fibrillation patients who will have good anticoagulation control on warfarin.

Authors:  Daniela Poli; Emilia Antonucci; Sophie Testa; Gregory Yoke Hong Lip
Journal:  Intern Emerg Med       Date:  2014-03-21       Impact factor: 3.397

3.  Medication prescription and adherence disparities in non valvular atrial fibrillation patients: an Italian portrait from the ARAPACIS study.

Authors:  Valeria Raparelli; Marco Proietti; Carmelo Buttà; Paolo Di Giosia; Domenico Sirico; Paolo Gobbi; Salvatore Corrao; Giovanni Davì; Anna Rita Vestri; Francesco Perticone; Gino Roberto Corazza; Francesco Violi; Stefania Basili
Journal:  Intern Emerg Med       Date:  2014-07-03       Impact factor: 3.397

4.  Antithrombotic prophylaxis of atrial fibrillation in an Italian real-world setting: a retrospective study.

Authors:  Giuliano Ermini; Valentina Perrone; Chiara Veronesi; Luca Degli Esposti; Giuseppe Di Pasquale
Journal:  Vasc Health Risk Manag       Date:  2017-07-05
  4 in total

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