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Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly
Atrial fibrillation (AF) is responsible for 10–20% of cerebral infarctions. Several mobile devices have been developed to screen for AF and studies of AF screening have been conducted in several countries to evaluate the applicability of these mobile devices. In this tradition, we conducted a commun...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chonnam National University Medical School
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976762/ https://www.ncbi.nlm.nih.gov/pubmed/32021842 http://dx.doi.org/10.4068/cmj.2020.56.1.50 |
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author | Kim, Nu Ri Choi, Chang Kyun Kim, Hyeong-Suk Oh, Su-Hyun Yang, Jung-Hwa Lee, Ki Hong Kim, Ju Han Park, Man-Seok Kim, Hye-Yeon Shin, Min-Ho |
author_facet | Kim, Nu Ri Choi, Chang Kyun Kim, Hyeong-Suk Oh, Su-Hyun Yang, Jung-Hwa Lee, Ki Hong Kim, Ju Han Park, Man-Seok Kim, Hye-Yeon Shin, Min-Ho |
author_sort | Kim, Nu Ri |
collection | PubMed |
description | Atrial fibrillation (AF) is responsible for 10–20% of cerebral infarctions. Several mobile devices have been developed to screen for AF and studies of AF screening have been conducted in several countries to evaluate the applicability of these mobile devices. In this tradition, we conducted a community-based AF screening using an automated single-lead electrocardiogram (SL-ECG). This survey examined 2,422 participants in a community dementia screening program who were aged 60 years or older in the preliminary study, and 5,366 participants at 9 Senior Welfare Centers aged 60 years or older in the expanded study. AF screening was conducted using an automated SL-ECG (Kardia Mobile, AliveCor, Mountain View, CA, USA). AF was confirmed with a 12-lead electrocardiogram in subjects classified as having AF on the SL-ECG. In the preliminary study, of the 2,422 subjects, 124 had AF on the SL-ECG. The prevalence of AF was 3.0% (95% confidence interval [CI]: 2.4–3.8). The positive predictive value (PPV) of SL-ECG was 58.9% (95% CI: 50.1–67.1). Of the subjects diagnosed with AF, 65.8% (95% CI: 54.3–75.6) were newly diagnosed. In an expanded study, of the 5,366 subjects, 289 had AF on SL-ECG. The prevalence was 2.6% (95% CI: 2.2–3.1) and PPV of SL-ECG was 48.8% (95% CI: 43.1–54.5). In this community-based AF screening, we found that AF is underdiagnosed and undertreated. These results suggest that the early detection of AF using mobile devices is needed in Korea. |
format | Online Article Text |
id | pubmed-6976762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Chonnam National University Medical School |
record_format | MEDLINE/PubMed |
spelling | pubmed-69767622020-02-04 Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly Kim, Nu Ri Choi, Chang Kyun Kim, Hyeong-Suk Oh, Su-Hyun Yang, Jung-Hwa Lee, Ki Hong Kim, Ju Han Park, Man-Seok Kim, Hye-Yeon Shin, Min-Ho Chonnam Med J Original Article Atrial fibrillation (AF) is responsible for 10–20% of cerebral infarctions. Several mobile devices have been developed to screen for AF and studies of AF screening have been conducted in several countries to evaluate the applicability of these mobile devices. In this tradition, we conducted a community-based AF screening using an automated single-lead electrocardiogram (SL-ECG). This survey examined 2,422 participants in a community dementia screening program who were aged 60 years or older in the preliminary study, and 5,366 participants at 9 Senior Welfare Centers aged 60 years or older in the expanded study. AF screening was conducted using an automated SL-ECG (Kardia Mobile, AliveCor, Mountain View, CA, USA). AF was confirmed with a 12-lead electrocardiogram in subjects classified as having AF on the SL-ECG. In the preliminary study, of the 2,422 subjects, 124 had AF on the SL-ECG. The prevalence of AF was 3.0% (95% confidence interval [CI]: 2.4–3.8). The positive predictive value (PPV) of SL-ECG was 58.9% (95% CI: 50.1–67.1). Of the subjects diagnosed with AF, 65.8% (95% CI: 54.3–75.6) were newly diagnosed. In an expanded study, of the 5,366 subjects, 289 had AF on SL-ECG. The prevalence was 2.6% (95% CI: 2.2–3.1) and PPV of SL-ECG was 48.8% (95% CI: 43.1–54.5). In this community-based AF screening, we found that AF is underdiagnosed and undertreated. These results suggest that the early detection of AF using mobile devices is needed in Korea. Chonnam National University Medical School 2020-01 2020-01-22 /pmc/articles/PMC6976762/ /pubmed/32021842 http://dx.doi.org/10.4068/cmj.2020.56.1.50 Text en © Chonnam Medical Journal, 2020 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 unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kim, Nu Ri Choi, Chang Kyun Kim, Hyeong-Suk Oh, Su-Hyun Yang, Jung-Hwa Lee, Ki Hong Kim, Ju Han Park, Man-Seok Kim, Hye-Yeon Shin, Min-Ho Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly |
title | Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly |
title_full | Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly |
title_fullStr | Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly |
title_full_unstemmed | Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly |
title_short | Screening for Atrial Fibrillation Using a Smartphone-Based Electrocardiogram in Korean Elderly |
title_sort | screening for atrial fibrillation using a smartphone-based electrocardiogram in korean elderly |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976762/ https://www.ncbi.nlm.nih.gov/pubmed/32021842 http://dx.doi.org/10.4068/cmj.2020.56.1.50 |
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