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

Study status

Complete

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 9th November 2020

Funded by:

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

Sponsored by:

• University of Manchester

Project overview

This clinical observational study used data from cardiac device remote monitoring to investigate the relationship between physical activity and frailty/ physical functioning. In addition, latent class trajectory analysis methods were applied to characterise activity trends over time.

Results

One-hundred and eighty three participants were recruited from Manchester Heart Centre. Device activity data was available for 140 participants. Physical activity levels were associated with clinical frailty (Fried criteria) and physical functioning (SF-36). Three latent class trajectory groups emerged from modelling: “stable”, “peaked” and “dipped” morphologies, although clinical characterisation was not evident.”

Results

One-hundred and eighty three participants were recruited from Manchester Heart Centre. Device activity data was available for 140 participants. Physical activity levels were associated with clinical frailty (Fried criteria) and physical functioning (SF-36). Three latent class trajectory groups emerged from modelling: “stable”, “peaked” and “dipped” morphologies, although clinical characterisation was not evident.

Conclusions

Physical activity data from cardiac device remote monitoring is associated with measures of physical functioning on clinical assessment. This could serve as a useful trigger for healthcare professionals to identify patients whom may benefit from further assessment and interventions such as rehabilitation

_{IRAS ID: 215964, CPMS ID: 38404, ClinicalTrials.gov ID: NCT03544424.}