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Remotely monitored physical activity from older people with cardiac devices associates with physical functioning.
Taylor, J K; Peek, N; Greenstein, A S; Sammut-Powell, C; Martin, G P; Ahmed, F Z.
Affiliation
  • Taylor JK; Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, Manchester, M13 9P, UK. joanne.taylor-2@manchester.ac.uk.
  • Peek N; Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Oxford Rd, Manchester, UK. joanne.taylor-2@manchester.ac.uk.
  • Greenstein AS; Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, Manchester, M13 9P, UK.
  • Sammut-Powell C; THIS Institute (The Healthcare Improvement Studies Institute), University of Cambridge, Cambridge, UK.
  • Martin GP; Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • Ahmed FZ; Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, Manchester, M13 9P, UK.
BMC Geriatr ; 24(1): 526, 2024 Jun 17.
Article in En | MEDLINE | ID: mdl-38886679
ABSTRACT

INTRODUCTION:

Accelerometer-derived physical activity (PA) from cardiac devices are available via remote monitoring platforms yet rarely reviewed in clinical practice. We aimed to investigate the association between PA and clinical measures of frailty and physical functioning.

METHODS:

The PATTErn study (A study of Physical Activity paTTerns and major health Events in older people with implantable cardiac devices) enrolled participants aged 60 + undergoing remote cardiac monitoring. Frailty was measured using the Fried criteria and gait speed (m/s), and physical functioning by NYHA class and SF-36 physical functioning score. Activity was reported as mean time active/day across 30-days prior to enrolment (30-day PA). Multivariable regression methods were utilised to estimate associations between PA and frailty/functioning (OR = odds ratio, ß = beta coefficient, CI = confidence intervals).

RESULTS:

Data were available for 140 participants (median age 73, 70.7% male). Median 30-day PA across the analysis cohort was 134.9 min/day (IQR 60.8-195.9). PA was not significantly associated with Fried frailty status on multivariate analysis, however was associated with gait speed (ß = 0.04, 95% CI 0.01-0.07, p = 0.01) and measures of physical functioning (NYHA class OR 0.73, 95% CI 0.57-0.92, p = 0.01, SF-36 physical functioning ß = 4.60, 95% CI 1.38-7.83, p = 0.005).

CONCLUSIONS:

PA from cardiac devices was associated with physical functioning and gait speed. This highlights the importance of reviewing remote monitoring PA data to identify patients who could benefit from existing interventions. Further research should investigate how to embed this into clinical pathways.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Exercise / Defibrillators, Implantable / Remote Sensing Technology / Accelerometry Limits: Aged / Aged80 / Humans / Male / Middle aged Language: En Journal: BMC Geriatr / BMC geriatr. (Online) / BMC geriatrics (Online) Journal subject: GERIATRIA Year: 2024 Document type: Article Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Exercise / Defibrillators, Implantable / Remote Sensing Technology / Accelerometry Limits: Aged / Aged80 / Humans / Male / Middle aged Language: En Journal: BMC Geriatr / BMC geriatr. (Online) / BMC geriatrics (Online) Journal subject: GERIATRIA Year: 2024 Document type: Article Country of publication: Reino Unido