Digital biomarkers for real-life, home-based monitoring of frailty: a systematic review and meta-analysis.
Background Frailty, characterised by decreased physiological function and increased vulnerability to stressors, was associated with an increase in numerous adverse outcomes. Although the number of digital biomarkers for detecting frailty in older adults is increasing, there remains a lack of evidenc...
| Published in: | Age & Ageing Vol. 54; no. 4; pp. 1 - 14 |
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| Main Authors: | , , , , , |
| Format: | Article |
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Oxford University Press / USA
Apr2025
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=184925773&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 184925773 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Apr2025 vid: 54 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 184925773 10.1093/ageing/afaf108 ppf: 1 ppct: 13 formats: tig: atl: Digital biomarkers for real-life, home-based monitoring of frailty: a systematic review and meta-analysis. aug: au: Huang, Jundan Zhou, Shuhan Xie, Qi Yu, Jia Zhao, Yinan Feng, Hui affil: Xiangya School of Nursing, Central South University, Changsha, Hunan, China su: Home environment Hand physiology Medical information storage & retrieval systems Research funding Frail elderly Hospital patients Meta-analysis Systematic reviews Heart beat MEDLINE Geriatric assessment Rooms Medical databases Patient monitoring Confidence intervals Quality assurance Online information services Biomarkers Phenotypes Sensitivity & specificity (Statistics) sug: subj: Home environment Hand physiology Medical information storage & retrieval systems Research funding Frail elderly Hospital patients Meta-analysis Systematic reviews Heart beat MEDLINE Geriatric assessment Rooms Medical databases Patient monitoring Confidence intervals Quality assurance Online information services Biomarkers Phenotypes Sensitivity & specificity (Statistics) keyword: biological markers digital biomarkers digital phenotyping frailty older adult older adults older people real-world study systematic review biological markers digital biomarkers digital phenotyping frailty older adult older adults older people real-world study systematic review ab: Background Frailty, characterised by decreased physiological function and increased vulnerability to stressors, was associated with an increase in numerous adverse outcomes. Although the number of digital biomarkers for detecting frailty in older adults is increasing, there remains a lack of evidence regarding their effectiveness for early detection and follow-up in real-world, home-based settings. Methods Five databases were searched from inception until 1 August 2024. Standardised forms were utilised for data extraction. The Quality Assessment of Diagnostic Accuracy Studies was used to assess the risk of bias and applicability of included studies. A meta-analysis was conducted to assess the overall sensitivity and specificity for frailty detection. Results The systematic review included 16 studies, identifying digital biomarkers relevant for frailty detection, including gait, activity, sleep, heart rate, hand movements and room transition. Meta-analysis further revealed pooled sensitivity of 0.78 [95% confidence interval (CI): 0.70–0.86] and specificity of 0.79 (95% CI: 0.72–0.86) to classify robust and pre-frailty/frailty participants. The overall risk of bias indicated that all the included studies were characterised as having a high or unclear risk of bias. Conclusion This study offers a thorough characterisation of digital biomarkers for detecting frailty, underscoring their potential for early prediction in home settings. These findings are instrumental in bridging the gap between evidence and practice, enabling more proactive and personalised healthcare monitoring. Further longitudinal studies involving larger sample sizes are necessary to validate the effectiveness of these digital biomarkers as diagnostic tools or prognostic indicators. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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