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Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries
BACKGROUND: An unmet need exists to reliably predict the risk of intracranial hemorrhage (ICH) in patients with atrial fibrillation (AF) treated with oral anticoagulants (OACs). HYPOTHESIS: An externally validated model improves ICH risk stratification. METHODS: Independent factors associated with I...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642328/ https://www.ncbi.nlm.nih.gov/pubmed/37596725 http://dx.doi.org/10.1002/clc.24109 |
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author | Lim, Toon Wei Camm, Alan John Virdone, Saverio Singer, Daniel E. Bassand, Jean P. Fonarow, Gregg C. Fox, Keith A. A. Ezekowitz, Michael Gersh, Bernard J. Kayani, Gloria Hylek, Elaine M. Kakkar, Ajay K. Mahaffey, Kenneth W. Pieper, Karen S. Peterson, Eric D. Piccini, Jonathan P. |
author_facet | Lim, Toon Wei Camm, Alan John Virdone, Saverio Singer, Daniel E. Bassand, Jean P. Fonarow, Gregg C. Fox, Keith A. A. Ezekowitz, Michael Gersh, Bernard J. Kayani, Gloria Hylek, Elaine M. Kakkar, Ajay K. Mahaffey, Kenneth W. Pieper, Karen S. Peterson, Eric D. Piccini, Jonathan P. |
author_sort | Lim, Toon Wei |
collection | PubMed |
description | BACKGROUND: An unmet need exists to reliably predict the risk of intracranial hemorrhage (ICH) in patients with atrial fibrillation (AF) treated with oral anticoagulants (OACs). HYPOTHESIS: An externally validated model improves ICH risk stratification. METHODS: Independent factors associated with ICH were identified by Cox proportional hazard modeling, using pooled data from the GARFIELD‐AF (Global Anticoagulant Registry in the FIELD‐Atrial Fibrillation) and ORBIT‐AF (Outcomes Registry for Better Informed Treatment of Atrial Fibrillation) registries. A predictive model was developed and validated by bootstrap sampling and by independent data from the Danish National Patient Register. RESULTS: In the combined training data set, 284 of 53 878 anticoagulated patients had ICH over a 2‐year period (0.31 per 100 person‐years; 95% confidence interval [CI]: 0.28–0.35). Independent predictors of ICH included: older age, prior stroke or transient ischemic attack, concomitant antiplatelet (AP) use, and moderate‐to‐severe chronic kidney disease (CKD). Vitamin K antagonists (VKAs) were associated with a significantly higher risk of ICH compared with non‐VKA oral anticoagulants (NOACs) (adjusted hazard ratio: 1.61; 95% CI: 1.25–2.08; p = .0002). The ability of the model to discriminate individuals in the training set with and without ICH was fair (optimism‐corrected C‐statistic: 0.68; 95% CI: 0.65–0.71) and outperformed three previously published methods. Calibration between predicted and observed ICH probabilities was good in both training and validation data sets. CONCLUSIONS: Age, prior ischemic events, concomitant AP therapy, and CKD were important risk factors for ICH in anticoagulated AF patients. Moreover, ICH was more frequent in patients receiving VKA compared to NOAC. The new validated model is a step toward mitigating this potentially lethal complication. |
format | Online Article Text |
id | pubmed-10642328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106423282023-11-15 Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries Lim, Toon Wei Camm, Alan John Virdone, Saverio Singer, Daniel E. Bassand, Jean P. Fonarow, Gregg C. Fox, Keith A. A. Ezekowitz, Michael Gersh, Bernard J. Kayani, Gloria Hylek, Elaine M. Kakkar, Ajay K. Mahaffey, Kenneth W. Pieper, Karen S. Peterson, Eric D. Piccini, Jonathan P. Clin Cardiol Clinical Investigations BACKGROUND: An unmet need exists to reliably predict the risk of intracranial hemorrhage (ICH) in patients with atrial fibrillation (AF) treated with oral anticoagulants (OACs). HYPOTHESIS: An externally validated model improves ICH risk stratification. METHODS: Independent factors associated with ICH were identified by Cox proportional hazard modeling, using pooled data from the GARFIELD‐AF (Global Anticoagulant Registry in the FIELD‐Atrial Fibrillation) and ORBIT‐AF (Outcomes Registry for Better Informed Treatment of Atrial Fibrillation) registries. A predictive model was developed and validated by bootstrap sampling and by independent data from the Danish National Patient Register. RESULTS: In the combined training data set, 284 of 53 878 anticoagulated patients had ICH over a 2‐year period (0.31 per 100 person‐years; 95% confidence interval [CI]: 0.28–0.35). Independent predictors of ICH included: older age, prior stroke or transient ischemic attack, concomitant antiplatelet (AP) use, and moderate‐to‐severe chronic kidney disease (CKD). Vitamin K antagonists (VKAs) were associated with a significantly higher risk of ICH compared with non‐VKA oral anticoagulants (NOACs) (adjusted hazard ratio: 1.61; 95% CI: 1.25–2.08; p = .0002). The ability of the model to discriminate individuals in the training set with and without ICH was fair (optimism‐corrected C‐statistic: 0.68; 95% CI: 0.65–0.71) and outperformed three previously published methods. Calibration between predicted and observed ICH probabilities was good in both training and validation data sets. CONCLUSIONS: Age, prior ischemic events, concomitant AP therapy, and CKD were important risk factors for ICH in anticoagulated AF patients. Moreover, ICH was more frequent in patients receiving VKA compared to NOAC. The new validated model is a step toward mitigating this potentially lethal complication. John Wiley and Sons Inc. 2023-08-18 /pmc/articles/PMC10642328/ /pubmed/37596725 http://dx.doi.org/10.1002/clc.24109 Text en © 2023 The Authors. Clinical Cardiology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Investigations Lim, Toon Wei Camm, Alan John Virdone, Saverio Singer, Daniel E. Bassand, Jean P. Fonarow, Gregg C. Fox, Keith A. A. Ezekowitz, Michael Gersh, Bernard J. Kayani, Gloria Hylek, Elaine M. Kakkar, Ajay K. Mahaffey, Kenneth W. Pieper, Karen S. Peterson, Eric D. Piccini, Jonathan P. Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries |
title | Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries |
title_full | Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries |
title_fullStr | Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries |
title_full_unstemmed | Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries |
title_short | Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD‐AF and ORBIT‐AF registries |
title_sort | predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: insights from the garfield‐af and orbit‐af registries |
topic | Clinical Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642328/ https://www.ncbi.nlm.nih.gov/pubmed/37596725 http://dx.doi.org/10.1002/clc.24109 |
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