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Remote monitoring: Doomed to let down or an attractive promise?
Device interrogation and management are time consuming, representing a relevant burden for pacing centers. In several situations, patients' management requires additional follow up visits. Remote Monitoring (RM) allows an optimal recall management and a rapid diagnosis of device or lead failure...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545403/ https://www.ncbi.nlm.nih.gov/pubmed/31193998 http://dx.doi.org/10.1016/j.ijcha.2019.100380 |
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author | Lucà, Fabiana Cipolletta, Laura Di Fusco, Stefania Angela Iorio, Annamaria Pozzi, Andrea Rao, Carmelo Massimiliano Ingianni, Nadia Benvenuto, Manuela Madeo, Andrea Fiscella, Damiana Benedetto, Daniela Francese, Giuseppina Maura Gelsomino, Sandro Zecchin, Massimo Gabrielli, Domenico Gulizia, Michele Massimo |
author_facet | Lucà, Fabiana Cipolletta, Laura Di Fusco, Stefania Angela Iorio, Annamaria Pozzi, Andrea Rao, Carmelo Massimiliano Ingianni, Nadia Benvenuto, Manuela Madeo, Andrea Fiscella, Damiana Benedetto, Daniela Francese, Giuseppina Maura Gelsomino, Sandro Zecchin, Massimo Gabrielli, Domenico Gulizia, Michele Massimo |
author_sort | Lucà, Fabiana |
collection | PubMed |
description | Device interrogation and management are time consuming, representing a relevant burden for pacing centers. In several situations, patients' management requires additional follow up visits. Remote Monitoring (RM) allows an optimal recall management and a rapid diagnosis of device or lead failure, without the need of additional in office visits. Further it allows a significant delay reduction between the adverse event and the reaction to the alarm, shortening the time needed to make a clinical decision. A role in risk-predicting patient-related outcomes has also been shown. RM permits detection of the arrhythmia from 1 to 5 months in advance compared to in-office visits. Importantly, by using specific algorithms with multiparametric analysis, RM has been studied as a potential instrument to identify early patients on risk of worsening HF using specific algorithms. Although the use of RM in HF setting remains controversial, it has been proposed to improve HF clinical outcomes and survival in clinical trials. In this sense, RM success could require a standardization of process within a management model, that may involve different health care professionals. In this review, we examine recent advances of RM providing an update of this tool through different clinical scenarios. |
format | Online Article Text |
id | pubmed-6545403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-65454032019-06-06 Remote monitoring: Doomed to let down or an attractive promise? Lucà, Fabiana Cipolletta, Laura Di Fusco, Stefania Angela Iorio, Annamaria Pozzi, Andrea Rao, Carmelo Massimiliano Ingianni, Nadia Benvenuto, Manuela Madeo, Andrea Fiscella, Damiana Benedetto, Daniela Francese, Giuseppina Maura Gelsomino, Sandro Zecchin, Massimo Gabrielli, Domenico Gulizia, Michele Massimo Int J Cardiol Heart Vasc Review Device interrogation and management are time consuming, representing a relevant burden for pacing centers. In several situations, patients' management requires additional follow up visits. Remote Monitoring (RM) allows an optimal recall management and a rapid diagnosis of device or lead failure, without the need of additional in office visits. Further it allows a significant delay reduction between the adverse event and the reaction to the alarm, shortening the time needed to make a clinical decision. A role in risk-predicting patient-related outcomes has also been shown. RM permits detection of the arrhythmia from 1 to 5 months in advance compared to in-office visits. Importantly, by using specific algorithms with multiparametric analysis, RM has been studied as a potential instrument to identify early patients on risk of worsening HF using specific algorithms. Although the use of RM in HF setting remains controversial, it has been proposed to improve HF clinical outcomes and survival in clinical trials. In this sense, RM success could require a standardization of process within a management model, that may involve different health care professionals. In this review, we examine recent advances of RM providing an update of this tool through different clinical scenarios. Elsevier 2019-05-30 /pmc/articles/PMC6545403/ /pubmed/31193998 http://dx.doi.org/10.1016/j.ijcha.2019.100380 Text en http://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 | Review Lucà, Fabiana Cipolletta, Laura Di Fusco, Stefania Angela Iorio, Annamaria Pozzi, Andrea Rao, Carmelo Massimiliano Ingianni, Nadia Benvenuto, Manuela Madeo, Andrea Fiscella, Damiana Benedetto, Daniela Francese, Giuseppina Maura Gelsomino, Sandro Zecchin, Massimo Gabrielli, Domenico Gulizia, Michele Massimo Remote monitoring: Doomed to let down or an attractive promise? |
title | Remote monitoring: Doomed to let down or an attractive promise? |
title_full | Remote monitoring: Doomed to let down or an attractive promise? |
title_fullStr | Remote monitoring: Doomed to let down or an attractive promise? |
title_full_unstemmed | Remote monitoring: Doomed to let down or an attractive promise? |
title_short | Remote monitoring: Doomed to let down or an attractive promise? |
title_sort | remote monitoring: doomed to let down or an attractive promise? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545403/ https://www.ncbi.nlm.nih.gov/pubmed/31193998 http://dx.doi.org/10.1016/j.ijcha.2019.100380 |
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