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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.
Affiliation
  • Greco M; Department of Biomedical Sciences, Humanitas University, 20072 Milan, Italy.
  • Angelucci A; Department of Anesthesia and Intensive Care, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
  • Avidano G; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy.
  • Marelli G; Department of Biomedical Sciences, Humanitas University, 20072 Milan, Italy.
  • Canali S; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy.
  • Aceto R; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy.
  • Lubian M; META-Social Sciences and Humanities for Science and Technology, Politecnico di Milano, 20133 Milan, Italy.
  • Oliva P; Department of Anesthesia and Intensive Care, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
  • Piccioni F; Department of Biomedical Sciences, Humanitas University, 20072 Milan, Italy.
  • Aliverti A; Department of Anesthesia and Intensive Care, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
  • Cecconi M; Clinical Engineering, IRCCS Humanitas Research Hospital, 20089 Milan, Italy.
Diagnostics (Basel) ; 13(4)2023 Feb 08.
Article in En | MEDLINE | ID: mdl-36832119
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Observational_studies / Risk_factors_studies Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: Italy Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Observational_studies / Risk_factors_studies Language: En Journal: Diagnostics (Basel) Year: 2023 Document type: Article Affiliation country: Italy Country of publication: Switzerland