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Advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of R(2)CHADS(2) to patients with advanced renal failure

BACKGROUND: The R(2)CHADS(2) is a new prediction rule for stroke risk in atrial fibrillation (AF) patients wherein R stands for renal risk. However, it was created from a cohort that excluded patients with advanced renal failure (defined as glomerular filtration rate of <30 mL/min). Our study ext...

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Autores principales: Bautista, Josef, Bella, Archie, Chaudhari, Ashok, Pekler, Gerald, Sapra, Katherine J., Carbajal, Roger, Baumstein, Donald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370306/
https://www.ncbi.nlm.nih.gov/pubmed/25815182
http://dx.doi.org/10.1093/ckj/sfv006
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author Bautista, Josef
Bella, Archie
Chaudhari, Ashok
Pekler, Gerald
Sapra, Katherine J.
Carbajal, Roger
Baumstein, Donald
author_facet Bautista, Josef
Bella, Archie
Chaudhari, Ashok
Pekler, Gerald
Sapra, Katherine J.
Carbajal, Roger
Baumstein, Donald
author_sort Bautista, Josef
collection PubMed
description BACKGROUND: The R(2)CHADS(2) is a new prediction rule for stroke risk in atrial fibrillation (AF) patients wherein R stands for renal risk. However, it was created from a cohort that excluded patients with advanced renal failure (defined as glomerular filtration rate of <30 mL/min). Our study extends the use of R(2)CHADS(2) to patients with advanced renal failure and aims to compare its predictive power against the currently used CHADS and CHA(2)DS(2)VaSc. METHODS: This retrospective cohort study analyzed the 1-year risk for stroke of the 524 patients with AF at Metropolitan Hospital Center. AUC and C statistics were calculated using three groups: (i) the entire cohort including patients with advanced renal failure, (ii) a cohort excluding patients with advanced renal failure and (iii) all patients with GFR < 30 mL/min only. RESULTS: R(2)CHADS(2), as a predictor for stroke risk, consistently performs better than CHADS2 and CHA2DS2VsC in groups 1 and 2. The C-statistic was highest in R2CHADS compared with CHADS or CHADSVASC in group 1 (0.718 versus 0.605 versus 0.602) and in group 2 (0.724 versus 0.584 versus 0.579). However, there was no statistically significant difference in group 3 (0.631 versus 0.629 versus 0.623). CONCLUSION: Our study supports the utility of R(2)CHADS(2) as a clinical prediction rule for stroke risk in patients with advanced renal failure.
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spelling pubmed-43703062015-03-26 Advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of R(2)CHADS(2) to patients with advanced renal failure Bautista, Josef Bella, Archie Chaudhari, Ashok Pekler, Gerald Sapra, Katherine J. Carbajal, Roger Baumstein, Donald Clin Kidney J Contents BACKGROUND: The R(2)CHADS(2) is a new prediction rule for stroke risk in atrial fibrillation (AF) patients wherein R stands for renal risk. However, it was created from a cohort that excluded patients with advanced renal failure (defined as glomerular filtration rate of <30 mL/min). Our study extends the use of R(2)CHADS(2) to patients with advanced renal failure and aims to compare its predictive power against the currently used CHADS and CHA(2)DS(2)VaSc. METHODS: This retrospective cohort study analyzed the 1-year risk for stroke of the 524 patients with AF at Metropolitan Hospital Center. AUC and C statistics were calculated using three groups: (i) the entire cohort including patients with advanced renal failure, (ii) a cohort excluding patients with advanced renal failure and (iii) all patients with GFR < 30 mL/min only. RESULTS: R(2)CHADS(2), as a predictor for stroke risk, consistently performs better than CHADS2 and CHA2DS2VsC in groups 1 and 2. The C-statistic was highest in R2CHADS compared with CHADS or CHADSVASC in group 1 (0.718 versus 0.605 versus 0.602) and in group 2 (0.724 versus 0.584 versus 0.579). However, there was no statistically significant difference in group 3 (0.631 versus 0.629 versus 0.623). CONCLUSION: Our study supports the utility of R(2)CHADS(2) as a clinical prediction rule for stroke risk in patients with advanced renal failure. Oxford University Press 2015-04 2015-02-16 /pmc/articles/PMC4370306/ /pubmed/25815182 http://dx.doi.org/10.1093/ckj/sfv006 Text en © The Author 2015. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Contents
Bautista, Josef
Bella, Archie
Chaudhari, Ashok
Pekler, Gerald
Sapra, Katherine J.
Carbajal, Roger
Baumstein, Donald
Advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of R(2)CHADS(2) to patients with advanced renal failure
title Advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of R(2)CHADS(2) to patients with advanced renal failure
title_full Advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of R(2)CHADS(2) to patients with advanced renal failure
title_fullStr Advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of R(2)CHADS(2) to patients with advanced renal failure
title_full_unstemmed Advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of R(2)CHADS(2) to patients with advanced renal failure
title_short Advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of R(2)CHADS(2) to patients with advanced renal failure
title_sort advanced chronic kidney disease in non-valvular atrial fibrillation: extending the utility of r(2)chads(2) to patients with advanced renal failure
topic Contents
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370306/
https://www.ncbi.nlm.nih.gov/pubmed/25815182
http://dx.doi.org/10.1093/ckj/sfv006
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