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Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study
Preoperative identification of high-risk groups has been extensively studied to improve patients’ outcomes. Wearable devices, which can track heart rate and physical activity data, are starting to be evaluated for patients’ management. We hypothesized that commercial wearable devices (WD) may provid...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955976/ https://www.ncbi.nlm.nih.gov/pubmed/36832119 http://dx.doi.org/10.3390/diagnostics13040630 |
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author | Greco, Massimiliano Angelucci, Alessandra Avidano, Gaia Marelli, Giovanni Canali, Stefano Aceto, Romina Lubian, Marta Oliva, Paolo Piccioni, Federico Aliverti, Andrea Cecconi, Maurizio |
author_facet | Greco, Massimiliano Angelucci, Alessandra Avidano, Gaia Marelli, Giovanni Canali, Stefano Aceto, Romina Lubian, Marta Oliva, Paolo Piccioni, Federico Aliverti, Andrea Cecconi, Maurizio |
author_sort | Greco, Massimiliano |
collection | PubMed |
description | Preoperative identification of high-risk groups has been extensively studied to improve patients’ outcomes. Wearable devices, which can track heart rate and physical activity data, are starting to be evaluated for patients’ management. We hypothesized that commercial wearable devices (WD) may provide data associated with preoperative evaluation scales and tests, to identify patients with poor functional capacity at increased risk for complications. We conducted a prospective observational study including seventy-year-old patients undergoing two-hour surgeries under general anesthesia. Patients were asked to wear a WD for 7 days before surgery. WD data were compared to preoperatory clinical evaluation scales and with a 6-min walking test (6MWT). We enrolled 31 patients, with a mean age of 76.1 (SD ± 4.9) years. There were 11 (35%) ASA 3–4 patients. 6MWT results averaged 328.9 (SD ± 99.5) m. Daily steps and 𝑉𝑂2𝑚𝑎𝑥 as recorded using WD and were associated with 6MWT performance (R = 0.56, p = 0.001 and r = 0.58, p = 0.006, respectively) and clinical evaluation scales. This is the first study to evaluate WD as preoperative evaluation tools; we found a strong association between 6MWT, preoperative scales, and WD data. Low-cost wearable devices are a promising tool for the evaluation of cardiopulmonary fitness. Further research is needed to validate WD in this setting. |
format | Online Article Text |
id | pubmed-9955976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99559762023-02-25 Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study Greco, Massimiliano Angelucci, Alessandra Avidano, Gaia Marelli, Giovanni Canali, Stefano Aceto, Romina Lubian, Marta Oliva, Paolo Piccioni, Federico Aliverti, Andrea Cecconi, Maurizio Diagnostics (Basel) Article Preoperative identification of high-risk groups has been extensively studied to improve patients’ outcomes. Wearable devices, which can track heart rate and physical activity data, are starting to be evaluated for patients’ management. We hypothesized that commercial wearable devices (WD) may provide data associated with preoperative evaluation scales and tests, to identify patients with poor functional capacity at increased risk for complications. We conducted a prospective observational study including seventy-year-old patients undergoing two-hour surgeries under general anesthesia. Patients were asked to wear a WD for 7 days before surgery. WD data were compared to preoperatory clinical evaluation scales and with a 6-min walking test (6MWT). We enrolled 31 patients, with a mean age of 76.1 (SD ± 4.9) years. There were 11 (35%) ASA 3–4 patients. 6MWT results averaged 328.9 (SD ± 99.5) m. Daily steps and 𝑉𝑂2𝑚𝑎𝑥 as recorded using WD and were associated with 6MWT performance (R = 0.56, p = 0.001 and r = 0.58, p = 0.006, respectively) and clinical evaluation scales. This is the first study to evaluate WD as preoperative evaluation tools; we found a strong association between 6MWT, preoperative scales, and WD data. Low-cost wearable devices are a promising tool for the evaluation of cardiopulmonary fitness. Further research is needed to validate WD in this setting. MDPI 2023-02-08 /pmc/articles/PMC9955976/ /pubmed/36832119 http://dx.doi.org/10.3390/diagnostics13040630 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Greco, Massimiliano Angelucci, Alessandra Avidano, Gaia Marelli, Giovanni Canali, Stefano Aceto, Romina Lubian, Marta Oliva, Paolo Piccioni, Federico Aliverti, Andrea Cecconi, Maurizio Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study |
title | Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study |
title_full | Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study |
title_fullStr | Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study |
title_full_unstemmed | Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study |
title_short | Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study |
title_sort | wearable health technology for preoperative risk assessment in elderly patients: the welcome study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955976/ https://www.ncbi.nlm.nih.gov/pubmed/36832119 http://dx.doi.org/10.3390/diagnostics13040630 |
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