Evidence map›Paper›PMID 38886679›Full record

ArticleBMC geriatrics2024

Remotely monitored physical activity from older people with cardiac devices associates with physical functioning.

J K Taylor, N Peek, A S Greenstein, C Sammut-Powell, G P Martin, F Z Ahmed

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

J K TaylorCentre 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.
N PeekCentre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, Manchester, M13 9P, UK.
A S GreensteinDivision of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
C Sammut-PowellCentre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, Manchester, M13 9P, UK.
G P MartinCentre for Health Informatics, Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, Manchester, M13 9P, UK.
F Z AhmedDepartment of Cardiology, Manchester University Hospitals NHS Foundation Trust, Oxford Rd, Manchester, UK.

Funding

British Heart Foundation FS/19/8/34163Manchester Biomedical Research Centre NIHR203308
6 · The paper itself

Abstract

introductionAccelerometer-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.

methodsThe 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, β = beta coefficient, CI = confidence intervals).

resultsData 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 (β = 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: β = 4.60, 95% CI 1.38-7.83, p = 0.005).

conclusionsPA 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.

Indexed as

AccelerometryDefibrillators, ImplantableExerciseRemote Sensing TechnologyAgedAged, 80 and overFrail ElderlyFrailtyHumansMaleMiddle AgedPacemaker, ArtificialPhysical Functional PerformanceWalking SpeedCardiac devicesFrailtyPhysical activityPhysical functioningRemote monitoring

Identifiers

PMID38886679
PMCPMC11184810

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.