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A Newly Defined CHA(2)DS(2)-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography
Purpose: Atrial fibrillation (AF) can be a valuable indicator of non-obstructive coronary artery disease (CAD) among older patients indicated for elective coronary angiography (CAG). Appropriate stratification of AF patients is crucial for avoiding unnecessary complications. The objective of this st...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224727/ https://www.ncbi.nlm.nih.gov/pubmed/35743532 http://dx.doi.org/10.3390/jcm11123462 |
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author | Wojszel, Zyta Beata Kuźma, Łukasz Rogalska, Ewelina Kurasz, Anna Dobrzycki, Sławomir Sobkowicz, Bożena Tomaszuk-Kazberuk, Anna |
author_facet | Wojszel, Zyta Beata Kuźma, Łukasz Rogalska, Ewelina Kurasz, Anna Dobrzycki, Sławomir Sobkowicz, Bożena Tomaszuk-Kazberuk, Anna |
author_sort | Wojszel, Zyta Beata |
collection | PubMed |
description | Purpose: Atrial fibrillation (AF) can be a valuable indicator of non-obstructive coronary artery disease (CAD) among older patients indicated for elective coronary angiography (CAG). Appropriate stratification of AF patients is crucial for avoiding unnecessary complications. The objective of this study was to identify independent predictors that can allow diagnosing obstructive CAD in AF patients over 65 years who were indicated to undergo elective CAG. Patients and methods: This cross-sectional study included 452 (23.9%) AF patients over 65 years old who were directed to the Department of Invasive Cardiology at the Medical University of Bialystok for elective CAG during 2014–2016. The participants had CAD and were receiving optimal therapy (median age: 73 years, interquartile range: 69–77 years; 54.6% men). The prevalence and health correlates of obstructive CAD were determined, and a multivariate logistic regression model was generated with predictors (p < 0.1). Predictive performance was analyzed using a receiver-operating characteristic (ROC) curve analysis. Results: Stenosis (affecting ≥ 50% of the diameter of the left coronary artery stem or ≥70% of that of the other important epicardial vessels) was significant in 184 (40.7%) cases. Multivariate regression analysis revealed that only the male sex (odds ratio [OR]: 1.80, 95% confidence interval [CI]: 1.14–2.84, p = 0.01) and the newly created CHA(2)DS(2)-VA score (OR: 3.96, 95% CI: 2.96–5.31, p < 0.001) significantly increased the chance of obstructive CAD, while controlling for chronic kidney disease and anemia. The ROC curve analysis indicated that the CHA(2)DS(2)-VA scale may be a useful screening tool for the diagnosis of obstructive CAD (area under the ROC curve: 0.79, 95% CI: 0.75–0.84, p < 0.001), with ≥4 being the optimal cutoff value. Conclusions: Our study has proven that several older AF patients who are advised to undergo elective CAG have nonobstructive CAD. The CHA(2)DS(2)-VA score can contribute to improving the selection of patients for invasive diagnosis of CAD, but further investigation is required. |
format | Online Article Text |
id | pubmed-9224727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92247272022-06-24 A Newly Defined CHA(2)DS(2)-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography Wojszel, Zyta Beata Kuźma, Łukasz Rogalska, Ewelina Kurasz, Anna Dobrzycki, Sławomir Sobkowicz, Bożena Tomaszuk-Kazberuk, Anna J Clin Med Article Purpose: Atrial fibrillation (AF) can be a valuable indicator of non-obstructive coronary artery disease (CAD) among older patients indicated for elective coronary angiography (CAG). Appropriate stratification of AF patients is crucial for avoiding unnecessary complications. The objective of this study was to identify independent predictors that can allow diagnosing obstructive CAD in AF patients over 65 years who were indicated to undergo elective CAG. Patients and methods: This cross-sectional study included 452 (23.9%) AF patients over 65 years old who were directed to the Department of Invasive Cardiology at the Medical University of Bialystok for elective CAG during 2014–2016. The participants had CAD and were receiving optimal therapy (median age: 73 years, interquartile range: 69–77 years; 54.6% men). The prevalence and health correlates of obstructive CAD were determined, and a multivariate logistic regression model was generated with predictors (p < 0.1). Predictive performance was analyzed using a receiver-operating characteristic (ROC) curve analysis. Results: Stenosis (affecting ≥ 50% of the diameter of the left coronary artery stem or ≥70% of that of the other important epicardial vessels) was significant in 184 (40.7%) cases. Multivariate regression analysis revealed that only the male sex (odds ratio [OR]: 1.80, 95% confidence interval [CI]: 1.14–2.84, p = 0.01) and the newly created CHA(2)DS(2)-VA score (OR: 3.96, 95% CI: 2.96–5.31, p < 0.001) significantly increased the chance of obstructive CAD, while controlling for chronic kidney disease and anemia. The ROC curve analysis indicated that the CHA(2)DS(2)-VA scale may be a useful screening tool for the diagnosis of obstructive CAD (area under the ROC curve: 0.79, 95% CI: 0.75–0.84, p < 0.001), with ≥4 being the optimal cutoff value. Conclusions: Our study has proven that several older AF patients who are advised to undergo elective CAG have nonobstructive CAD. The CHA(2)DS(2)-VA score can contribute to improving the selection of patients for invasive diagnosis of CAD, but further investigation is required. MDPI 2022-06-16 /pmc/articles/PMC9224727/ /pubmed/35743532 http://dx.doi.org/10.3390/jcm11123462 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wojszel, Zyta Beata Kuźma, Łukasz Rogalska, Ewelina Kurasz, Anna Dobrzycki, Sławomir Sobkowicz, Bożena Tomaszuk-Kazberuk, Anna A Newly Defined CHA(2)DS(2)-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography |
title | A Newly Defined CHA(2)DS(2)-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography |
title_full | A Newly Defined CHA(2)DS(2)-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography |
title_fullStr | A Newly Defined CHA(2)DS(2)-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography |
title_full_unstemmed | A Newly Defined CHA(2)DS(2)-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography |
title_short | A Newly Defined CHA(2)DS(2)-VA Score for Predicting Obstructive Coronary Artery Disease in Patients with Atrial Fibrillation—A Cross-Sectional Study of Older Persons Referred for Elective Coronary Angiography |
title_sort | newly defined cha(2)ds(2)-va score for predicting obstructive coronary artery disease in patients with atrial fibrillation—a cross-sectional study of older persons referred for elective coronary angiography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224727/ https://www.ncbi.nlm.nih.gov/pubmed/35743532 http://dx.doi.org/10.3390/jcm11123462 |
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