STEPS
Research type
Research Study
Full title
uSing wearable TEchnology to Predict perioperative high-riSk patient outcomes (STEPS)
IRAS ID
220712
Contact name
Matt PG Morgan
Contact email
Sponsor organisation
Cardiff University
Duration of Study in the UK
1 years, 0 months, 1 days
Research summary
Having major surgery affects different people in different ways. Having a serious medical condition, such as heart failure, can increase the risks of complications including infection, heart attacks and occasionally death.\n\nKnowing a patient’s medical history is one way of predicting how they might cope with an operation. In patients who have no major medical conditions, it would still be helpful to know how they might cope with a major operation. Therefore, a patient’s fitness level is often tested to predict how they might recover. However, doing fitness tests in all patients takes a lot of time, is expensive and some find the tests difficult to do. Therefore, fitness tests are not always done.\n\nRecently, low-cost, wearable activity monitors have become very popular. They can record lots of information about a person’s general health and activity. In this study, we would like to see if an activity monitor can help predict a person’s risk of developing complications after having major surgery.\n\nParticipants will be invited from a group of patients that are already planning to undergo fitness testing before they have a major operation. They will be asked to wear an activity monitor on their wrist for one week before their operation. Participants will also be asked to provide a saliva sample for genetic testing and to answer a questionnaire about their activity levels. After they have their operation, participants will be followed-up to see if they develop any complications after surgery.\n\nWe will compare the results of the exercise testing and the data from the activity sensors to see if it would be worthwhile using just the activity monitors in future. We will also look to see if information from the activity monitors can be used to make predictions about the risk of developing complications after surgery.
REC name
Wales REC 3
REC reference
17/WA/0006
Date of REC Opinion
24 Jan 2017
REC opinion
Further Information Favourable Opinion