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A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers
We describe the protocol, design, and methodology of the Prediction, Risk, and Evaluation of Major Adverse Cardiac Events (PRE-MACE) study as a multicomponent remote patient monitoring in cardiology. Using biosensor, biomarkers, and patient-reported outcomes in participants with stable ischemic hear...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722086/ https://www.ncbi.nlm.nih.gov/pubmed/31508495 http://dx.doi.org/10.1038/s41746-019-0145-6 |
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author | Shufelt, Chrisandra Dzubur, Eldin Joung, Sandy Fuller, Garth Mouapi, Kelly N. Van Den Broek, Irene Lopez, Mayra Dhawan, Shivani Arnold, Corey W. Speier, William Mastali, Mitra Fu, Qin Van Eyk, Jennifer E. Spiegel, Brennan Merz, C. Noel Bairey |
author_facet | Shufelt, Chrisandra Dzubur, Eldin Joung, Sandy Fuller, Garth Mouapi, Kelly N. Van Den Broek, Irene Lopez, Mayra Dhawan, Shivani Arnold, Corey W. Speier, William Mastali, Mitra Fu, Qin Van Eyk, Jennifer E. Spiegel, Brennan Merz, C. Noel Bairey |
author_sort | Shufelt, Chrisandra |
collection | PubMed |
description | We describe the protocol, design, and methodology of the Prediction, Risk, and Evaluation of Major Adverse Cardiac Events (PRE-MACE) study as a multicomponent remote patient monitoring in cardiology. Using biosensor, biomarkers, and patient-reported outcomes in participants with stable ischemic heart disease, the PRE-MACE study is designed to measure cross-sectional correlations and establish the ability of remote monitoring to predict major adverse cardiovascular event (MACE) biomarkers and incident MACE at baseline and 12-month follow-up. It will further assess the adherence and cost-effectiveness of remote monitoring and blood sampling over the initial months. Despite medication and lifestyle changes, patients with cardiovascular disease can experience MACE due to undertreatment, poor adherence, or failure to recognize clinical or biochemical changes that presage MACE. Identifying patients using remote monitoring to detect MACE forerunners has potential to improve outcomes, avoid MACE, and reduce resource utilization. Data collection will include: (1) continuous remote monitoring using wearable biosensors; (2) biomarker measurements using plasma and at-home micro-sampling blood collection; and (3) patient-reported outcomes to monitor perceived stress, anxiety, depression, and health-related quality of life. Two hundred participants will be followed for 90 days with a subset (n = 80) monitored for 180 days. All participants will be followed up for MACE at 12 months.The PRE-MACE study will utilize remote monitoring with biosensors, biomarkers, and patient-reported outcomes to identify intermediate biomarkers of MACE in patients with stable ischemic heart disease. If shown to be effective, this intervention can be utilized between health visits to predict MACE and reduce financial impact of MACE. |
format | Online Article Text |
id | pubmed-6722086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67220862019-09-10 A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers Shufelt, Chrisandra Dzubur, Eldin Joung, Sandy Fuller, Garth Mouapi, Kelly N. Van Den Broek, Irene Lopez, Mayra Dhawan, Shivani Arnold, Corey W. Speier, William Mastali, Mitra Fu, Qin Van Eyk, Jennifer E. Spiegel, Brennan Merz, C. Noel Bairey NPJ Digit Med Protocol We describe the protocol, design, and methodology of the Prediction, Risk, and Evaluation of Major Adverse Cardiac Events (PRE-MACE) study as a multicomponent remote patient monitoring in cardiology. Using biosensor, biomarkers, and patient-reported outcomes in participants with stable ischemic heart disease, the PRE-MACE study is designed to measure cross-sectional correlations and establish the ability of remote monitoring to predict major adverse cardiovascular event (MACE) biomarkers and incident MACE at baseline and 12-month follow-up. It will further assess the adherence and cost-effectiveness of remote monitoring and blood sampling over the initial months. Despite medication and lifestyle changes, patients with cardiovascular disease can experience MACE due to undertreatment, poor adherence, or failure to recognize clinical or biochemical changes that presage MACE. Identifying patients using remote monitoring to detect MACE forerunners has potential to improve outcomes, avoid MACE, and reduce resource utilization. Data collection will include: (1) continuous remote monitoring using wearable biosensors; (2) biomarker measurements using plasma and at-home micro-sampling blood collection; and (3) patient-reported outcomes to monitor perceived stress, anxiety, depression, and health-related quality of life. Two hundred participants will be followed for 90 days with a subset (n = 80) monitored for 180 days. All participants will be followed up for MACE at 12 months.The PRE-MACE study will utilize remote monitoring with biosensors, biomarkers, and patient-reported outcomes to identify intermediate biomarkers of MACE in patients with stable ischemic heart disease. If shown to be effective, this intervention can be utilized between health visits to predict MACE and reduce financial impact of MACE. Nature Publishing Group UK 2019-09-03 /pmc/articles/PMC6722086/ /pubmed/31508495 http://dx.doi.org/10.1038/s41746-019-0145-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Protocol Shufelt, Chrisandra Dzubur, Eldin Joung, Sandy Fuller, Garth Mouapi, Kelly N. Van Den Broek, Irene Lopez, Mayra Dhawan, Shivani Arnold, Corey W. Speier, William Mastali, Mitra Fu, Qin Van Eyk, Jennifer E. Spiegel, Brennan Merz, C. Noel Bairey A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers |
title | A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers |
title_full | A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers |
title_fullStr | A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers |
title_full_unstemmed | A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers |
title_short | A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers |
title_sort | protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722086/ https://www.ncbi.nlm.nih.gov/pubmed/31508495 http://dx.doi.org/10.1038/s41746-019-0145-6 |
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