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Clinical Trial Summary

The overarching goal of this research is to use machine learning analysis of high-resolution data-collected by wearable technology-of cardiothoracic surgical patients to assess recovery and detect complications at their earliest stage


Clinical Trial Description

This is a single-center non-randomized prospective cohort study using wearable devices in cardiothoracic surgery patients to detect post-operative complications. Patients undergoing cardiothoracic surgery who meet the inclusion and exclusion criteria will be enrolled consecutively with verbal informed consent from the time this protocol is approved by the IRB until 1,200 subjects are enrolled. At ~30 days preoperatively the subjects will have a wearable device (such as a Fitbit) placed on their wrist and will wear the device until ~180 days post-operatively. This device will wirelessly transmit data regarding activity and sleep quality to a smartphone application for the duration of wear and data will be analyzed by our collaborators at Case Western Reserve University. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04824066
Study type Observational
Source Massachusetts General Hospital
Contact Chi-Fu Jeffrey Yang, MD
Phone 617-726-5200
Email cjyang@mgh.harvard.edu
Status Recruiting
Phase
Start date July 10, 2021
Completion date June 30, 2027

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