Accurate and timely preoperative identification of high-risk patients provides opportunities to better inform and manage them. Current predictors for perioperative complications are either resource consuming or have low accuracy. The primary objective of the study is to assess if Wearable Devices may be an alternative to assess cardiopulmonary function, with low risks and lower costs.
Study Type
OBSERVATIONAL
Enrollment
31
The patient is asked to repetitively walk along a 15 m track, at their best speed, in six minutes. Before and after the exercise, blood arterial pressure and dyspnea level (via Borg scale) are assessed. Cardiac frequency and peripheral Oxygen saturation are assessed before the test, and every minute and in the two minutes following the exercise.
Clinical Frailty Score, Metabolic Equivalent of Task, DUKE Activity Status Index
Humanitas Research Hospital
Rozzano, Milan, Italy
Assess whether wearable devices (WD) can identify patients at risk for postoperative complications.
Time frame: 12 months
To compare performance of WD data with 6MWT, MET scale, CFS and ASA score in identifying reduced functional capacity
Time frame: 24 months
A sub analysis of WD data during 6MWT will be conducted
Time frame: 24 months
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