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Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice
BACKGROUND: Direct-to-consumer devices allow patients to record electrocardiograms (ECG) and detect atrial fibrillation (AF). Clinical adoption of these devices has been limited owing to the lack of efficient workflow. OBJECTIVE: To assess a new care model for following patients after AF ablation th...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890049/ https://www.ncbi.nlm.nih.gov/pubmed/35265896 http://dx.doi.org/10.1016/j.cvdhj.2021.02.002 |
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author | Lambert, Cameron T. Patel, Divyang Bumgarner, Joseph M. Kanj, Mohamed Cantillon, Daniel Saliba, Walid Hussein, Ayman Baranowski, Bryan Dresing, Thomas Chung, Mina K. Rickard, John Varma, Niraj Callahan, Thomas Martin, David Tchou, Patrick Bhargava, Mandeep Wolski, Kathy Wazni, Oussama Tarakji, Khaldoun G. |
author_facet | Lambert, Cameron T. Patel, Divyang Bumgarner, Joseph M. Kanj, Mohamed Cantillon, Daniel Saliba, Walid Hussein, Ayman Baranowski, Bryan Dresing, Thomas Chung, Mina K. Rickard, John Varma, Niraj Callahan, Thomas Martin, David Tchou, Patrick Bhargava, Mandeep Wolski, Kathy Wazni, Oussama Tarakji, Khaldoun G. |
author_sort | Lambert, Cameron T. |
collection | PubMed |
description | BACKGROUND: Direct-to-consumer devices allow patients to record electrocardiograms (ECG) and detect atrial fibrillation (AF). Clinical adoption of these devices has been limited owing to the lack of efficient workflow. OBJECTIVE: To assess a new care model for following patients after AF ablation that uses a smartphone ECG coupled with a novel cloud-based platform. METHODS: This was a pilot study to describe AF detection, healthcare utilization, use of additional ECGs and cardiac monitors, and changes in anxiety after AF ablation. Patients presenting 3–4 months after early successful AF ablation were randomized into a control group with standard clinical follow-up or a self-monitoring group using smartphone ECG (Kardia Mobile, KM) coupled with a cloud-based platform (KardiaPro, KP) that alerted the physician when AF was detected and followed for 6 months RESULTS: A total of 100 patients were randomized: 51 to the KM/KP group and 48 to the control group (1 withdrew). AF was detected in 18 patients (18.2%), 11 (21.6%) in the KM/KP group and 7 (14.6%) in the control group (P = .42). AF detection occurred at a median of 68 and 91 days in the KM/KP and control groups, respectively (P = .93). These differences were not statistically significant. Healthcare utilization and changes in anxiety were similar between the groups. More patients required additional ECGs or cardiac monitors in the control group (27.1%) compared to the KM/KP group (5.9%) (P = .004). CONCLUSIONS: Smartphone ECG with a cloud-based platform can be incorporated into the care of post–AF ablation patients without increasing anxiety and with less need for additional traditional monitors. |
format | Online Article Text |
id | pubmed-8890049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88900492022-03-08 Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice Lambert, Cameron T. Patel, Divyang Bumgarner, Joseph M. Kanj, Mohamed Cantillon, Daniel Saliba, Walid Hussein, Ayman Baranowski, Bryan Dresing, Thomas Chung, Mina K. Rickard, John Varma, Niraj Callahan, Thomas Martin, David Tchou, Patrick Bhargava, Mandeep Wolski, Kathy Wazni, Oussama Tarakji, Khaldoun G. Cardiovasc Digit Health J Clinical BACKGROUND: Direct-to-consumer devices allow patients to record electrocardiograms (ECG) and detect atrial fibrillation (AF). Clinical adoption of these devices has been limited owing to the lack of efficient workflow. OBJECTIVE: To assess a new care model for following patients after AF ablation that uses a smartphone ECG coupled with a novel cloud-based platform. METHODS: This was a pilot study to describe AF detection, healthcare utilization, use of additional ECGs and cardiac monitors, and changes in anxiety after AF ablation. Patients presenting 3–4 months after early successful AF ablation were randomized into a control group with standard clinical follow-up or a self-monitoring group using smartphone ECG (Kardia Mobile, KM) coupled with a cloud-based platform (KardiaPro, KP) that alerted the physician when AF was detected and followed for 6 months RESULTS: A total of 100 patients were randomized: 51 to the KM/KP group and 48 to the control group (1 withdrew). AF was detected in 18 patients (18.2%), 11 (21.6%) in the KM/KP group and 7 (14.6%) in the control group (P = .42). AF detection occurred at a median of 68 and 91 days in the KM/KP and control groups, respectively (P = .93). These differences were not statistically significant. Healthcare utilization and changes in anxiety were similar between the groups. More patients required additional ECGs or cardiac monitors in the control group (27.1%) compared to the KM/KP group (5.9%) (P = .004). CONCLUSIONS: Smartphone ECG with a cloud-based platform can be incorporated into the care of post–AF ablation patients without increasing anxiety and with less need for additional traditional monitors. Elsevier 2021-03-04 /pmc/articles/PMC8890049/ /pubmed/35265896 http://dx.doi.org/10.1016/j.cvdhj.2021.02.002 Text en © 2021 Heart Rhythm Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Clinical Lambert, Cameron T. Patel, Divyang Bumgarner, Joseph M. Kanj, Mohamed Cantillon, Daniel Saliba, Walid Hussein, Ayman Baranowski, Bryan Dresing, Thomas Chung, Mina K. Rickard, John Varma, Niraj Callahan, Thomas Martin, David Tchou, Patrick Bhargava, Mandeep Wolski, Kathy Wazni, Oussama Tarakji, Khaldoun G. Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice |
title | Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice |
title_full | Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice |
title_fullStr | Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice |
title_full_unstemmed | Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice |
title_short | Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice |
title_sort | atrial fibrillation future clinic. novel platform to integrate smart device electrocardiogram into clinical practice |
topic | Clinical |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890049/ https://www.ncbi.nlm.nih.gov/pubmed/35265896 http://dx.doi.org/10.1016/j.cvdhj.2021.02.002 |
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