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Estimated prevalence of undiagnosed atrial fibrillation in the United States
INTRODUCTION: As atrial fibrillation (AF) is often asymptomatic, it may remain undiagnosed until or even after development of complications, such as stroke. Consequently the observed prevalence of AF may underestimate total disease burden. METHODS: To estimate the prevalence of undiagnosed AF in the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896911/ https://www.ncbi.nlm.nih.gov/pubmed/29649277 http://dx.doi.org/10.1371/journal.pone.0195088 |
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author | Turakhia, Mintu P. Shafrin, Jason Bognar, Katalin Trocio, Jeffrey Abdulsattar, Younos Wiederkehr, Daniel Goldman, Dana P. |
author_facet | Turakhia, Mintu P. Shafrin, Jason Bognar, Katalin Trocio, Jeffrey Abdulsattar, Younos Wiederkehr, Daniel Goldman, Dana P. |
author_sort | Turakhia, Mintu P. |
collection | PubMed |
description | INTRODUCTION: As atrial fibrillation (AF) is often asymptomatic, it may remain undiagnosed until or even after development of complications, such as stroke. Consequently the observed prevalence of AF may underestimate total disease burden. METHODS: To estimate the prevalence of undiagnosed AF in the United States, we performed a retrospective cohort modeling study in working age (18–64) and elderly (≥65) people using commercial and Medicare administrative claims databases. We identified patients in years 2004–2010 with incident AF following an ischemic stroke. Using a back-calculation methodology, we estimated the prevalence of undiagnosed AF as the ratio of the number of post-stroke AF patients and the CHADS(2)-specific stroke probability for each patient, adjusting for age and gender composition based on United States census data. RESULTS: The estimated prevalence of AF (diagnosed and undiagnosed) was 3,873,900 (95%CI: 3,675,200–4,702,600) elderly and 1,457,100 (95%CI: 1,218,500–1,695,800) working age adults, representing 10.0% and 0.92% of the respective populations. Of these, 698,900 were undiagnosed: 535,400 (95%CI: 331,900–804,400) elderly and 163,500 (95%CI: 17,700–400,000) working age adults, representing 1.3% and 0.09% of the respective populations. Among all undiagnosed cases, 77% had a CHADS(2) score ≥1, and 56% had CHADS(2) score ≥2. CONCLUSIONS: Using a back-calculation approach, we estimate that the total AF prevalence in 2009 was 5.3 million of which 0.7 million (13.1% of AF cases) were undiagnosed. Over half of the modeled population with undiagnosed AF was at moderate to high risk of stroke. |
format | Online Article Text |
id | pubmed-5896911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58969112018-05-04 Estimated prevalence of undiagnosed atrial fibrillation in the United States Turakhia, Mintu P. Shafrin, Jason Bognar, Katalin Trocio, Jeffrey Abdulsattar, Younos Wiederkehr, Daniel Goldman, Dana P. PLoS One Research Article INTRODUCTION: As atrial fibrillation (AF) is often asymptomatic, it may remain undiagnosed until or even after development of complications, such as stroke. Consequently the observed prevalence of AF may underestimate total disease burden. METHODS: To estimate the prevalence of undiagnosed AF in the United States, we performed a retrospective cohort modeling study in working age (18–64) and elderly (≥65) people using commercial and Medicare administrative claims databases. We identified patients in years 2004–2010 with incident AF following an ischemic stroke. Using a back-calculation methodology, we estimated the prevalence of undiagnosed AF as the ratio of the number of post-stroke AF patients and the CHADS(2)-specific stroke probability for each patient, adjusting for age and gender composition based on United States census data. RESULTS: The estimated prevalence of AF (diagnosed and undiagnosed) was 3,873,900 (95%CI: 3,675,200–4,702,600) elderly and 1,457,100 (95%CI: 1,218,500–1,695,800) working age adults, representing 10.0% and 0.92% of the respective populations. Of these, 698,900 were undiagnosed: 535,400 (95%CI: 331,900–804,400) elderly and 163,500 (95%CI: 17,700–400,000) working age adults, representing 1.3% and 0.09% of the respective populations. Among all undiagnosed cases, 77% had a CHADS(2) score ≥1, and 56% had CHADS(2) score ≥2. CONCLUSIONS: Using a back-calculation approach, we estimate that the total AF prevalence in 2009 was 5.3 million of which 0.7 million (13.1% of AF cases) were undiagnosed. Over half of the modeled population with undiagnosed AF was at moderate to high risk of stroke. Public Library of Science 2018-04-12 /pmc/articles/PMC5896911/ /pubmed/29649277 http://dx.doi.org/10.1371/journal.pone.0195088 Text en © 2018 Turakhia et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Turakhia, Mintu P. Shafrin, Jason Bognar, Katalin Trocio, Jeffrey Abdulsattar, Younos Wiederkehr, Daniel Goldman, Dana P. Estimated prevalence of undiagnosed atrial fibrillation in the United States |
title | Estimated prevalence of undiagnosed atrial fibrillation in the United States |
title_full | Estimated prevalence of undiagnosed atrial fibrillation in the United States |
title_fullStr | Estimated prevalence of undiagnosed atrial fibrillation in the United States |
title_full_unstemmed | Estimated prevalence of undiagnosed atrial fibrillation in the United States |
title_short | Estimated prevalence of undiagnosed atrial fibrillation in the United States |
title_sort | estimated prevalence of undiagnosed atrial fibrillation in the united states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896911/ https://www.ncbi.nlm.nih.gov/pubmed/29649277 http://dx.doi.org/10.1371/journal.pone.0195088 |
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