Can activity monitors predict outcomes in patients with heart failure? A systematic review

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Title: Can activity monitors predict outcomes in patients with heart failure? A systematic review
Authors: Tan, K
Wong, J
Bakrania, K
Abdullahi, Y
Harling, L
Casula, RP
Rowlands, AV
Athanasiou, T
Jarral, OA
Item Type: Journal Article
Abstract: Actigraphy is increasingly incorporated into clinical practice to monitor intervention effectiveness and patient health in congestive heart failure (CHF). We explored the prognostic impact of actigraphy-quantified physical activity (AQPA) on CHF outcomes. PubMed and Medline databases were systematically searched for cross-sectional studies, cohort studies or randomised controlled trials from January 2007 to December 2017. We included studies that used validated actigraphs to predict outcomes in adult HF patients. Study selection and data extraction were performed by two independent reviewers. A total of 17 studies (15 cohort, 1 cross-sectional, 1 randomised controlled trial) were included, reporting on 2,759 CHF patients (22–89 years, 27.7% female). Overall, AQPA showed a strong inverse relationship with mortality and predictive utility when combined with established risk scores, and prognostic roles in morbidity, predicting cognitive function, New York Heart Association functional class and intercurrent events (e.g. hospitalisation), but weak relationships with health-related quality of life scores. Studies lacked consensus regarding device choice, time points and thresholds of PA measurement, which rendered quantitative comparisons between studies difficult. AQPA has a strong prognostic role in CHF. Multiple sampling time points would allow calculation of AQPA changes for incorporation into risk models. Consensus is needed regarding device choice and AQPA thresholds, while data management strategies are required to fully utilise generated data. Big data and machine learning strategies will potentially yield better predictive value of AQPA in CHF patients.
Issue Date: 12-Sep-2018
Date of Acceptance: 11-Sep-2018
URI: http://hdl.handle.net/10044/1/63911
DOI: https://doi.org/10.1093/ehjqcco/qcy038
ISSN: 2058-5225
Publisher: Oxford University Press (OUP)
Start Page: 11
End Page: 21
Journal / Book Title: European Heart Journal - Quality of Care and Clinical Outcomes
Volume: 5
Issue: 1
Copyright Statement: © 2018 The Author(s). Published on behalf of the European Society of Cardiology. All rights reserved. For permissions, please email: journals.permissions@oup.com. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices). This is a pre-copy-editing, author-produced version of an article accepted for publication in European Heart Journal - Quality of Care and Clinical Outcomes following peer review. The definitive publisher-authenticated version Matthew K H Tan, Joanna K L Wong, Kishan Bakrania, Yusuf Abdullahi, Leanne Harling, Roberto Casula, Alex V Rowlands, Thanos Athanasiou, Omar A Jarral; Can activity monitors predict outcomes in patients with heart failure? A systematic review, European Heart Journal - Quality of Care and Clinical Outcomes, qcy038, is available online at: https://dx.doi.org/10.1093/ehjqcco/qcy038.
Sponsor/Funder: Imperial College Healthcare NHS Trust- BRC Funding
Funder's Grant Number: RDB05 79560
Keywords: Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Actigraphy
Physical activity
Congestive heart failure
Prognostic impact
Quality of life
QUALITY-OF-LIFE
DAILY PHYSICAL-ACTIVITY
CARDIOVASCULAR-DISEASE
SEDENTARY TIME
COGNITIVE FUNCTION
EXERCISE CAPACITY
EJECTION FRACTION
OLDER-ADULTS
MORTALITY
RISK
Actigraphy
Cognition
Exercise
Heart Failure
Humans
Metabolic Equivalent
Prognosis
Quality of Life
Risk Assessment
Walking
Wearable Electronic Devices
Humans
Prognosis
Exercise
Walking
Risk Assessment
Cognition
Quality of Life
Heart Failure
Metabolic Equivalent
Actigraphy
Wearable Electronic Devices
Publication Status: Published
Article Number: qcy038
Online Publication Date: 2018-09-12
Appears in Collections:Division of Surgery
Faculty of Medicine



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