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Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization
BACKGROUND: Unplanned hospitalizations are common in patients with cardiovascular disease. The “Triage Heart Failure Risk Status” (Triage‐HFRS) algorithm in patients with cardiac implantable electronic devices uses data from up to 9 device‐derived physiological parameters to stratify patients as low...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496305/ https://www.ncbi.nlm.nih.gov/pubmed/35943063 http://dx.doi.org/10.1161/JAHA.121.024526 |
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author | Sammut‐Powell, Camilla Taylor, Joanne K. Motwani, Manish Leonard, Catherine M. Martin, Glen P. Ahmed, Fozia Zahir |
author_facet | Sammut‐Powell, Camilla Taylor, Joanne K. Motwani, Manish Leonard, Catherine M. Martin, Glen P. Ahmed, Fozia Zahir |
author_sort | Sammut‐Powell, Camilla |
collection | PubMed |
description | BACKGROUND: Unplanned hospitalizations are common in patients with cardiovascular disease. The “Triage Heart Failure Risk Status” (Triage‐HFRS) algorithm in patients with cardiac implantable electronic devices uses data from up to 9 device‐derived physiological parameters to stratify patients as low/medium/high risk of 30‐day heart failure (HF) hospitalization, but its use to predict all‐cause hospitalization has not been explored. We examined the association between Triage‐HFRS and risk of all‐cause, cardiovascular, or HF hospitalization. METHODS AND RESULTS: A prospective observational study of 435 adults (including patients with and without HF) with a Medtronic Triage‐HFRS–enabled cardiac implantable electronic device (cardiac resynchronization therapy device, implantable cardioverter‐defibrillator, or pacemaker). Cox proportional hazards models explored association between Triage‐HFRS and time to hospitalization; a frailty term at the patient level accounted for repeated measures. A total of 274 of 435 patients (63.0%) transmitted ≥1 high HFRS transmission before or during the study period. The remaining 161 patients never transmitted a high HFRS. A total of 153 (32.9%) patients had ≥1 unplanned hospitalization during the study period, totaling 356 nonelective hospitalizations. A high HFRS conferred a 37.3% sensitivity and an 86.2% specificity for 30‐day all‐cause hospitalization; and for HF hospitalizations, these numbers were 62.5% and 85.6%, respectively. Compared with a low Triage‐HFRS, a high HFRS conferred a 4.2 relative risk of 30‐day all‐cause hospitalization (8.5% versus 2.0%), a 5.0 relative risk of 30‐day cardiovascular hospitalization (3.6% versus 0.7%), and a 7.7 relative risk of 30‐day HF hospitalization (2.0% versus 0.3%). CONCLUSIONS: In patients with cardiac implantable electronic devices, remotely monitored Triage‐HFRS data discriminated between patients at high and low risk of all‐cause hospitalization (cardiovascular or noncardiovascular) in real time. |
format | Online Article Text |
id | pubmed-9496305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94963052022-09-30 Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization Sammut‐Powell, Camilla Taylor, Joanne K. Motwani, Manish Leonard, Catherine M. Martin, Glen P. Ahmed, Fozia Zahir J Am Heart Assoc Original Research BACKGROUND: Unplanned hospitalizations are common in patients with cardiovascular disease. The “Triage Heart Failure Risk Status” (Triage‐HFRS) algorithm in patients with cardiac implantable electronic devices uses data from up to 9 device‐derived physiological parameters to stratify patients as low/medium/high risk of 30‐day heart failure (HF) hospitalization, but its use to predict all‐cause hospitalization has not been explored. We examined the association between Triage‐HFRS and risk of all‐cause, cardiovascular, or HF hospitalization. METHODS AND RESULTS: A prospective observational study of 435 adults (including patients with and without HF) with a Medtronic Triage‐HFRS–enabled cardiac implantable electronic device (cardiac resynchronization therapy device, implantable cardioverter‐defibrillator, or pacemaker). Cox proportional hazards models explored association between Triage‐HFRS and time to hospitalization; a frailty term at the patient level accounted for repeated measures. A total of 274 of 435 patients (63.0%) transmitted ≥1 high HFRS transmission before or during the study period. The remaining 161 patients never transmitted a high HFRS. A total of 153 (32.9%) patients had ≥1 unplanned hospitalization during the study period, totaling 356 nonelective hospitalizations. A high HFRS conferred a 37.3% sensitivity and an 86.2% specificity for 30‐day all‐cause hospitalization; and for HF hospitalizations, these numbers were 62.5% and 85.6%, respectively. Compared with a low Triage‐HFRS, a high HFRS conferred a 4.2 relative risk of 30‐day all‐cause hospitalization (8.5% versus 2.0%), a 5.0 relative risk of 30‐day cardiovascular hospitalization (3.6% versus 0.7%), and a 7.7 relative risk of 30‐day HF hospitalization (2.0% versus 0.3%). CONCLUSIONS: In patients with cardiac implantable electronic devices, remotely monitored Triage‐HFRS data discriminated between patients at high and low risk of all‐cause hospitalization (cardiovascular or noncardiovascular) in real time. John Wiley and Sons Inc. 2022-08-09 /pmc/articles/PMC9496305/ /pubmed/35943063 http://dx.doi.org/10.1161/JAHA.121.024526 Text en © 2022 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://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 Sammut‐Powell, Camilla Taylor, Joanne K. Motwani, Manish Leonard, Catherine M. Martin, Glen P. Ahmed, Fozia Zahir Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization |
title | Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization |
title_full | Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization |
title_fullStr | Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization |
title_full_unstemmed | Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization |
title_short | Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization |
title_sort | remotely monitored cardiac implantable electronic device data predict all‐cause and cardiovascular unplanned hospitalization |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496305/ https://www.ncbi.nlm.nih.gov/pubmed/35943063 http://dx.doi.org/10.1161/JAHA.121.024526 |
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