Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study
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Le résumé fourni par la source
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.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Wearable Health Technology for Preoperative Risk Assessment in Elderly Patients: The WELCOME Study
- Date Crossref
- 08/02/2023
- Éditeur
- MDPI AG
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Humanitas University Department of Biomedical Sciences pays non établi dans la noticeUniversité ou école supérieure
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IRCCS Humanitas Research Hospital Department of Anesthesia and Intensive Care pays non établi dans la noticeÉtablissement de santé
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Politecnico di Milano pays non établi dans la noticeUniversité ou école supérieure
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Dipartimento di Elettronica pays non établi dans la noticeInstitution
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META—Social Sciences and Humanities for Science and Technology pays non établi dans la noticeInstitution
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Clinical Engineering pays non établi dans la noticeÉtablissement de santé
Department of Biomedical Sciences — Humanitas University, Department of Anesthesia and Intensive Care — IRCCS Humanitas Research Hospital et Politecnico di Milano, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.