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Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina
BACKGROUND: Canadian Cardiovascular Society (CCS) angina severity classification is associated with mortality, myocardial infarction, and coronary revascularization in clinical trial and registry data. The objective of this study was to determine associations between CCS class and all‐cause mortalit...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761668/ https://www.ncbi.nlm.nih.gov/pubmed/31362569 http://dx.doi.org/10.1161/JAHA.119.012811 |
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author | Owlia, Mina Dodson, John A. King, Jordan B. Derington, Catherine G. Herrick, Jennifer S. Sedlis, Steven P. Crook, Jacob DuVall, Scott L. LaFleur, Joanne Nelson, Richard Patterson, Olga V. Shah, Rashmee U. Bress, Adam P. |
author_facet | Owlia, Mina Dodson, John A. King, Jordan B. Derington, Catherine G. Herrick, Jennifer S. Sedlis, Steven P. Crook, Jacob DuVall, Scott L. LaFleur, Joanne Nelson, Richard Patterson, Olga V. Shah, Rashmee U. Bress, Adam P. |
author_sort | Owlia, Mina |
collection | PubMed |
description | BACKGROUND: Canadian Cardiovascular Society (CCS) angina severity classification is associated with mortality, myocardial infarction, and coronary revascularization in clinical trial and registry data. The objective of this study was to determine associations between CCS class and all‐cause mortality and healthcare utilization, using natural language processing to extract CCS classifications from clinical notes. METHODS AND RESULTS: In this retrospective cohort study of veterans in the United States with stable angina from January 1, 2006, to December 31, 2013, natural language processing extracted CCS classifications. Veterans with a prior diagnosis of coronary artery disease were excluded. Outcomes included all‐cause mortality (primary), all‐cause and cardiovascular‐specific hospitalizations, coronary revascularization, and 1‐year healthcare costs. Of 299 577 veterans identified, 14 216 (4.7%) had ≥1 CCS classification extracted by natural language processing. The mean age was 66.6±9.8 years, 99% of participants were male, and 81% were white. During a median follow‐up of 3.4 years, all‐cause mortality rates were 4.58, 4.60, 6.22, and 6.83 per 100 person‐years for CCS classes I, II, III, and IV, respectively. Multivariable adjusted hazard ratios for all‐cause mortality comparing CCS II, III, and IV with those in class I were 1.05 (95% CI, 0.95–1.15), 1.33 (95% CI, 1.20–1.47), and 1.48 (95% CI, 1.25–1.76), respectively. The multivariable hazard ratio comparing CCS IV with CCS I was 1.20 (95% CI, 1.09–1.33) for all‐cause hospitalization, 1.25 (95% CI, 0.96–1.64) for acute coronary syndrome hospitalizations, 1.00 (95% CI, 0.80–1.26) for heart failure hospitalizations, 1.05 (95% CI, 0.88–1.25) for atrial fibrillation hospitalizations, 1.92 (95% CI, 1.40–2.64) for percutaneous coronary intervention, and 2.51 (95% CI, 1.99–3.16) for coronary artery bypass grafting surgery. CONCLUSIONS: Natural language processing–extracted CCS classification was positively associated with all‐cause mortality and healthcare utilization, demonstrating the prognostic importance of anginal symptom assessment and documentation. |
format | Online Article Text |
id | pubmed-6761668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67616682019-09-30 Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina Owlia, Mina Dodson, John A. King, Jordan B. Derington, Catherine G. Herrick, Jennifer S. Sedlis, Steven P. Crook, Jacob DuVall, Scott L. LaFleur, Joanne Nelson, Richard Patterson, Olga V. Shah, Rashmee U. Bress, Adam P. J Am Heart Assoc Original Research BACKGROUND: Canadian Cardiovascular Society (CCS) angina severity classification is associated with mortality, myocardial infarction, and coronary revascularization in clinical trial and registry data. The objective of this study was to determine associations between CCS class and all‐cause mortality and healthcare utilization, using natural language processing to extract CCS classifications from clinical notes. METHODS AND RESULTS: In this retrospective cohort study of veterans in the United States with stable angina from January 1, 2006, to December 31, 2013, natural language processing extracted CCS classifications. Veterans with a prior diagnosis of coronary artery disease were excluded. Outcomes included all‐cause mortality (primary), all‐cause and cardiovascular‐specific hospitalizations, coronary revascularization, and 1‐year healthcare costs. Of 299 577 veterans identified, 14 216 (4.7%) had ≥1 CCS classification extracted by natural language processing. The mean age was 66.6±9.8 years, 99% of participants were male, and 81% were white. During a median follow‐up of 3.4 years, all‐cause mortality rates were 4.58, 4.60, 6.22, and 6.83 per 100 person‐years for CCS classes I, II, III, and IV, respectively. Multivariable adjusted hazard ratios for all‐cause mortality comparing CCS II, III, and IV with those in class I were 1.05 (95% CI, 0.95–1.15), 1.33 (95% CI, 1.20–1.47), and 1.48 (95% CI, 1.25–1.76), respectively. The multivariable hazard ratio comparing CCS IV with CCS I was 1.20 (95% CI, 1.09–1.33) for all‐cause hospitalization, 1.25 (95% CI, 0.96–1.64) for acute coronary syndrome hospitalizations, 1.00 (95% CI, 0.80–1.26) for heart failure hospitalizations, 1.05 (95% CI, 0.88–1.25) for atrial fibrillation hospitalizations, 1.92 (95% CI, 1.40–2.64) for percutaneous coronary intervention, and 2.51 (95% CI, 1.99–3.16) for coronary artery bypass grafting surgery. CONCLUSIONS: Natural language processing–extracted CCS classification was positively associated with all‐cause mortality and healthcare utilization, demonstrating the prognostic importance of anginal symptom assessment and documentation. John Wiley and Sons Inc. 2019-07-31 /pmc/articles/PMC6761668/ /pubmed/31362569 http://dx.doi.org/10.1161/JAHA.119.012811 Text en © 2019 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Owlia, Mina Dodson, John A. King, Jordan B. Derington, Catherine G. Herrick, Jennifer S. Sedlis, Steven P. Crook, Jacob DuVall, Scott L. LaFleur, Joanne Nelson, Richard Patterson, Olga V. Shah, Rashmee U. Bress, Adam P. Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina |
title | Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina |
title_full | Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina |
title_fullStr | Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina |
title_full_unstemmed | Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina |
title_short | Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina |
title_sort | angina severity, mortality, and healthcare utilization among veterans with stable angina |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761668/ https://www.ncbi.nlm.nih.gov/pubmed/31362569 http://dx.doi.org/10.1161/JAHA.119.012811 |
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