Literature DB >> 29970238

Usefulness of the Addition of Renal Function to the CHA2DS2-VASc Score as a Predictor of Thromboembolism and Mortality in Patients Without Atrial Fibrillation.

Christine Parsons1, Stephen Cha2, Win-Kuang Shen3, Alanna M Chamberlain4, Sushil Allen Luis5, Mira Keddis6, Fadi Shamoun7.   

Abstract

Research is conflicting whether kidney function should be incorporated in thromboembolism risk prediction. Our published data showed that the CHA2DS2-VASc score predicts thromboembolism and mortality in those without atrial fibrillation. We used the Rochester Epidemiology Project medical records system to retrospectively evaluate whether adding renal impairment (1 point) to the CHA2DS2-VASc score (-R) enhances the score's prediction of mortality, thromboembolism, and atrial fibrillation in patients without atrial fibrillation. We identified patients that had an implantable cardiac monitoring device placed from January 1, 2004 to December 31, 2013, which was defined as the start date. Follow-up was through March 7, 2016. An implantable device was required to discern the absence of atrial fibrillation. Renal impairment was defined as chronic kidney disease stage 3 or greater. The population (n = 1,606) had a mean age of 69.8 years and median follow-up of 4.8 years. Baseline renal impairment was predictive of mortality (hazard ratio [HR] 2.06, 95% confidence interval [CI] 1.64 to 2.60, p <0.001), thromboembolism (HR 1.34, 95% CI 0.96 to 1.87, p = 0.09), and atrial fibrillation (HR 1.31, 95% CI 0.98 to 1.74, p = 0.07). Lower glomerular filtration rate correlated significantly with mortality. Increasing CHA2DS2-VASc-R score correlated significantly with mortality, thromboembolism, and incident atrial fibrillation. The addition of renal impairment to the CHA2DS2-VASc score improved the C-statistics for thromboembolism and survival from 0.72 to 0.73 (p = 0.01) and 0.70 to 0.72 (p <0.001). Adding renal impairment to the CHA2DS2-VASc score improves the score's prediction of thromboembolism and mortality in a population without atrial fibrillation, although the incremental benefit appears mild.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29970238      PMCID: PMC6133721          DOI: 10.1016/j.amjcard.2018.04.049

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  29 in total

1.  Fibrotic atrial cardiomyopathy: a specific disease/syndrome supplying substrates for atrial fibrillation, atrial tachycardia, sinus node disease, AV node disease, and thromboembolic complications.

Authors:  Hans Kottkamp
Journal:  J Cardiovasc Electrophysiol       Date:  2012-05-03

2.  Randomized trial of atrial arrhythmia monitoring to guide anticoagulation in patients with implanted defibrillator and cardiac resynchronization devices.

Authors:  David T Martin; Malcolm M Bersohn; Albert L Waldo; Mark S Wathen; Wassim K Choucair; Gregory Y H Lip; John Ip; Richard Holcomb; Joseph G Akar; Jonathan L Halperin
Journal:  Eur Heart J       Date:  2015-04-23       Impact factor: 29.983

3.  Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Joshua J Pankratz; Scott M Brue; Walter A Rocca
Journal:  Int J Epidemiol       Date:  2012-11-18       Impact factor: 7.196

Review 4.  Stroke and Chronic Kidney Disease: Epidemiology, Pathogenesis, and Management Across Kidney Disease Stages.

Authors:  Taimur Dad; Daniel E Weiner
Journal:  Semin Nephrol       Date:  2015-07       Impact factor: 5.299

5.  Association of left atrial fibrosis detected by delayed-enhancement magnetic resonance imaging and the risk of stroke in patients with atrial fibrillation.

Authors:  Marcos Daccarett; Troy J Badger; Nazem Akoum; Nathan S Burgon; Christian Mahnkopf; Gaston Vergara; Eugene Kholmovski; Christopher J McGann; Dennis Parker; Johannes Brachmann; Rob S Macleod; Nassir F Marrouche
Journal:  J Am Coll Cardiol       Date:  2011-02-15       Impact factor: 24.094

6.  Relation of multiple inflammatory biomarkers to incident atrial fibrillation.

Authors:  Renate B Schnabel; Martin G Larson; Jennifer F Yamamoto; Sekar Kathiresan; Jian Rong; Daniel Levy; John F Keaney; Thomas J Wang; Ramachandran S Vasan; Emelia J Benjamin
Journal:  Am J Cardiol       Date:  2009-05-04       Impact factor: 2.778

7.  CHADS₂, CHA₂S₂DS₂-VASc, and long-term stroke outcome in patients without atrial fibrillation.

Authors:  George Ntaios; Gregory Y H Lip; Konstantinos Makaritsis; Vasileios Papavasileiou; Anastasia Vemmou; Eleni Koroboki; Paraskevi Savvari; Efstathios Manios; Haralampos Milionis; Konstantinos Vemmos
Journal:  Neurology       Date:  2013-02-13       Impact factor: 9.910

8.  Does chronic kidney disease improve the predictive value of the CHADS2 and CHA2DS2-VASc stroke stratification risk scores for atrial fibrillation?

Authors:  V Roldán; F Marín; S Manzano-Fernandez; H Fernández; P Gallego; M Valdés; V Vicente; G Y H Lip
Journal:  Thromb Haemost       Date:  2013-03-21       Impact factor: 5.249

9.  Pre-stroke CHADS2 and CHA2DS2-VASc scores are useful in stratifying three-month outcomes in patients with and without atrial fibrillation.

Authors:  Hans T H Tu; Bruce C V Campbell; Atte Meretoja; Leonid Churilov; Kennedy R Lees; Geoffrey A Donnan; Stephen M Davis
Journal:  Cerebrovasc Dis       Date:  2013-10-16       Impact factor: 2.762

Review 10.  Inflammation in atrial fibrillation.

Authors:  Yutao Guo; Gregory Y H Lip; Stavros Apostolakis
Journal:  J Am Coll Cardiol       Date:  2012-12-04       Impact factor: 24.094

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  2 in total

1.  Chronic kidney disease and cardiovascular mortality in patients with atrial fibrillation: European Society of Hypertension project - ESH A Fib.

Authors:  Vedran Premužić; Ranko Stevanović; Petra Radić; Massimo Salvetti; Martina Lovrić-Benčić; Ana Jelaković; Davor Miličić; Krunoslav Capak; Enrico Agabiti-Rosei; Bojan Jelaković
Journal:  Medicine (Baltimore)       Date:  2021-01-15       Impact factor: 1.817

2.  Comparing Atrial-Fibrillation Validated Rapid Scoring Systems in the Long-Term Mortality Prediction in Patients Referred for Elective Coronary Angiography: A Subanalysis of the Białystok Coronary Project.

Authors:  Ewelina Rogalska; Anna Kurasz; Łukasz Kuźma; Hanna Bachórzewska-Gajewska; Sławomir Dobrzycki; Marek Koziński; Bożena Sobkowicz; Anna Tomaszuk-Kazberuk
Journal:  Int J Environ Res Public Health       Date:  2022-08-21       Impact factor: 4.614

  2 in total

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