The PATTErn Study: A study of Physical Activity paTTerns and major health Events in older people with implantable cardiac devices

Study status


Researchers involved:

  • Adam Greenstein (Chief Investigator)
  • Joanne K Taylor (Principal Investigator)
  • Fozia Ahmed (Consultant Cardiologist, Manchester University Foundation Trust)
  • Niels Peek (Supervisor)

Disease area investigated:

  • Ageing
  • Cardiology

Start and end dates:

  • 14th October 2018 to 1st April 2021

Funded by:

  • British Heart Foundation
  • Medtronic
  • Manchester University NHS Foundation Trust
  • Peter Mount Award

Sponsored by:

  • University of Manchester

Project overview

We will be taking advantage of data from Medtronic cardiac devices to study daily physical activity patterns in later life. We are interested in how physical activity changes when a person becomes unwell, and whether we can use this data to predict events in the future.

What data are you using?

We will be using data from cardiac devices – pacemakers, cardiac defibrillators and cardiac resynchronisation therapy devices. Each stores daily activity data for up to 425 days. Dates of ‘events’ i.e. unscheduled hospital attendance episodes will be requested from NHS Digital.

What methods are you using to conduct this work?

We will recruit 150 patients over the age of 60 with a cardiac device from Manchester University NHS Foundation Trust. We will collect stored data from the device, as well as other participant information. We will look at physical activity trends over time, and how these change surrounding ‘events’. We will then employ predictive modelling to see if changes in physical activity signify increased risk of hospitalisation. 

Who will/could benefit? (What will we know that we don’t already?)

If we could predict impending episodes of ill-health using this data, then we may be able to create a form of ‘early warning system’. This could be used to alert patients and healthcare providers of a problem in advance – allowing the opportunity to intervene. In order to develop such systems we need a detailed understanding of data – what is normal, and what is not.

What will be the intended outcome of your research project?

Improved understanding of physical activity patterns in older people with cardiac devices.

IRAS ID: 215964, CPMS ID: 38404, ID: NCT03544424.