Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology

Elsa Dent; Peter Hanlon; Marc Sim; Juulia Jylhävä; Zuyun Liu; Davide L Vetrano; Erwin Stolz; Mario Ulises Pérez-Zepeda; Daniel R Crabtree; Caroline Nicholson; Jenny Job; Rachel C Ambagtsheer; Paul R Ward; Sandra M Shi; Quan Huynh; Emiel O Hoogendijk; EPI-FRAIL consortium

doi:10.1016/j.arr.2023.102082

Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology

Elsa Dent, Peter Hanlon, Marc Sim, Juulia Jylhävä, Zuyun Liu, Davide L Vetrano, Erwin Stolz, Mario Ulises Pérez-Zepeda, Daniel R Crabtree, Caroline Nicholson, Jenny Job, Rachel C Ambagtsheer, Paul R Ward, Sandra M Shi, Quan Huynh, Emiel O Hoogendijk^* (Corresponding Author), EPI-FRAIL consortium

^*Corresponding author for this work

The Rowett Institute of Nutrition and Health

Research output: Contribution to journal › Review article › peer-review

5 Citations (Scopus)

Abstract

Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.

Original language	English
Article number	102082
Number of pages	15
Journal	Ageing Research Reviews
Volume	91
Early online date	7 Oct 2023
DOIs	https://doi.org/10.1016/j.arr.2023.102082
Publication status	Published - 1 Nov 2023

Bibliographical note

Funding
The Frailty Epidemiology Research Network (EPI-FRAIL) is an international collaborative project aimed at filling knowledge gaps in the field of frailty epidemiology. The network was established as part of a NWO/ZonMw Veni fellowship awarded to E.O. Hoogendijk (Grant no. 91618067). P. Hanlon is funded through a Clinical Research Training Fellowship from the Medical Research Council (Grant reference: MR/S021949/1). Z. Liu was supported by the Soft Science Research Program of Zhejiang Province (2023KXCX-KT011). J. Jylhävä has received grant support from the Swedish Research Council (grant no. 2018-02077), the Academy of Finland (grant no. 349335), the Sigrid Jusélius Foundation, the Yrjö Jahnsson Foundation and the Instrumentarium Science Foundation. M. Sim is supported by a Royal Perth Hospital Research Foundation Career Advancement Fellowship and an Emerging Leader Fellowship from the Future Health Research and Innovation Fund (Department of Health, Western Australia). R. Ambagtsheer receives funding from the Australian Medical Research Future Fund (grant #MRF2016140). D. L. Vetrano receives financial support from the Swedish Research Council (2021-03324). S. Shi reports funding from the National Institute of Aging, R03AG078894-01. None of the funding agencies had any role in the conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.

Keywords

Humans
Aged
Frailty/diagnosis
Artificial Intelligence
Periodicals as Topic
Geriatrics
Risk Management
Frail Elderly
Geriatric Assessment

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Dent_etal_ARR_Recent_Developments_In_VoR
© 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
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Dent, E., Hanlon, P., Sim, M., Jylhävä, J., Liu, Z., Vetrano, D. L., Stolz, E., Pérez-Zepeda, M. U., Crabtree, D. R., Nicholson, C., Job, J., Ambagtsheer, R. C., Ward, P. R., Shi, S. M., Huynh, Q., Hoogendijk, E. O., & EPI-FRAIL consortium (2023). Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology. Ageing Research Reviews, 91, Article 102082. https://doi.org/10.1016/j.arr.2023.102082

Dent, E, Hanlon, P, Sim, M, Jylhävä, J, Liu, Z, Vetrano, DL, Stolz, E, Pérez-Zepeda, MU, Crabtree, DR, Nicholson, C, Job, J, Ambagtsheer, RC, Ward, PR, Shi, SM, Huynh, Q, Hoogendijk, EO & EPI-FRAIL consortium 2023, 'Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology', Ageing Research Reviews, vol. 91, 102082. https://doi.org/10.1016/j.arr.2023.102082

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title = "Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology",

abstract = "Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.",

keywords = "Humans, Aged, Frailty/diagnosis, Artificial Intelligence, Periodicals as Topic, Geriatrics, Risk Management, Frail Elderly, Geriatric Assessment",

author = "Elsa Dent and Peter Hanlon and Marc Sim and Juulia Jylh{\"a}v{\"a} and Zuyun Liu and Vetrano, {Davide L} and Erwin Stolz and P{\'e}rez-Zepeda, {Mario Ulises} and Crabtree, {Daniel R} and Caroline Nicholson and Jenny Job and Ambagtsheer, {Rachel C} and Ward, {Paul R} and Shi, {Sandra M} and Quan Huynh and Hoogendijk, {Emiel O} and {EPI-FRAIL consortium}",

note = "Funding The Frailty Epidemiology Research Network (EPI-FRAIL) is an international collaborative project aimed at filling knowledge gaps in the field of frailty epidemiology. The network was established as part of a NWO/ZonMw Veni fellowship awarded to E.O. Hoogendijk (Grant no. 91618067). P. Hanlon is funded through a Clinical Research Training Fellowship from the Medical Research Council (Grant reference: MR/S021949/1). Z. Liu was supported by the Soft Science Research Program of Zhejiang Province (2023KXCX-KT011). J. Jylh{\"a}v{\"a} has received grant support from the Swedish Research Council (grant no. 2018-02077), the Academy of Finland (grant no. 349335), the Sigrid Jus{\'e}lius Foundation, the Yrj{\"o} Jahnsson Foundation and the Instrumentarium Science Foundation. M. Sim is supported by a Royal Perth Hospital Research Foundation Career Advancement Fellowship and an Emerging Leader Fellowship from the Future Health Research and Innovation Fund (Department of Health, Western Australia). R. Ambagtsheer receives funding from the Australian Medical Research Future Fund (grant #MRF2016140). D. L. Vetrano receives financial support from the Swedish Research Council (2021-03324). S. Shi reports funding from the National Institute of Aging, R03AG078894-01. None of the funding agencies had any role in the conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.",

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T1 - Recent developments in frailty identification, management, risk factors and prevention

T2 - A narrative review of leading journals in geriatrics and gerontology

AU - Dent, Elsa

AU - Hanlon, Peter

AU - Sim, Marc

AU - Jylhävä, Juulia

AU - Liu, Zuyun

AU - Vetrano, Davide L

AU - Stolz, Erwin

AU - Pérez-Zepeda, Mario Ulises

AU - Crabtree, Daniel R

AU - Nicholson, Caroline

AU - Job, Jenny

AU - Ambagtsheer, Rachel C

AU - Ward, Paul R

AU - Shi, Sandra M

AU - Huynh, Quan

AU - Hoogendijk, Emiel O

AU - EPI-FRAIL consortium

N1 - Funding The Frailty Epidemiology Research Network (EPI-FRAIL) is an international collaborative project aimed at filling knowledge gaps in the field of frailty epidemiology. The network was established as part of a NWO/ZonMw Veni fellowship awarded to E.O. Hoogendijk (Grant no. 91618067). P. Hanlon is funded through a Clinical Research Training Fellowship from the Medical Research Council (Grant reference: MR/S021949/1). Z. Liu was supported by the Soft Science Research Program of Zhejiang Province (2023KXCX-KT011). J. Jylhävä has received grant support from the Swedish Research Council (grant no. 2018-02077), the Academy of Finland (grant no. 349335), the Sigrid Jusélius Foundation, the Yrjö Jahnsson Foundation and the Instrumentarium Science Foundation. M. Sim is supported by a Royal Perth Hospital Research Foundation Career Advancement Fellowship and an Emerging Leader Fellowship from the Future Health Research and Innovation Fund (Department of Health, Western Australia). R. Ambagtsheer receives funding from the Australian Medical Research Future Fund (grant #MRF2016140). D. L. Vetrano receives financial support from the Swedish Research Council (2021-03324). S. Shi reports funding from the National Institute of Aging, R03AG078894-01. None of the funding agencies had any role in the conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.

PY - 2023/11/1

Y1 - 2023/11/1

N2 - Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.

AB - Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.

KW - Humans

KW - Aged

KW - Frailty/diagnosis

KW - Artificial Intelligence

KW - Periodicals as Topic

KW - Geriatrics

KW - Risk Management

KW - Frail Elderly

KW - Geriatric Assessment

U2 - 10.1016/j.arr.2023.102082

DO - 10.1016/j.arr.2023.102082

M3 - Review article

C2 - 37797723

SN - 1568-1637

VL - 91

JO - Ageing Research Reviews

JF - Ageing Research Reviews

M1 - 102082

ER -

Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology

Abstract

Bibliographical note

Keywords

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