Skip to main content
Top
Published in: BMC Geriatrics 1/2022

Open Access 01-12-2022 | Care | Research article

Transitions between degrees of multidimensional frailty among older people admitted to intermediate care: a multicentre prospective study

Authors: Jordi Amblàs-Novellas, Anna Torné, Ramon Oller, Joan Carles Martori, Joan Espaulella, Roman Romero-Ortuno

Published in: BMC Geriatrics | Issue 1/2022

Login to get access

Abstract

Background

Frailty is a dynamic condition that is clinically expected to change in older individuals during and around admission to an intermediate care (IC) facility. We aimed to characterize transitions between degrees of frailty before, during, and after admission to IC and assess the impact of these transitions on health outcomes.

Methods

Multicentre observational prospective study in IC facilities in Catalonia (North-east Spain). The analysis included all individuals aged ≥ 75 years (or younger with chronic complex or advanced diseases) admitted to an IC facility. The primary outcome was frailty, measured by the Frail-VIG index and categorized into four degrees: no frailty, and mild, moderate, and advanced frailty. The Frail-VIG index was measured at baseline (i.e., 30 days before IC admission) (Frail-VIG0), on IC admission (Frail-VIG1), at discharge (Frail-VIG2), and 30 days post-discharge (Frail-VIG3).

Results

The study included 483 patients with a mean (SD) age of 81.3 (10.2) years. At the time of admission, 27 (5.6%) had no frailty, and 116 (24%), 161 (33.3%), and 179 (37.1%) mild, moderate, and severe frailty, respectively. Most frailty transitions occurred within the 30 days following admission to IC, particularly among patients with moderate frailty on admission. Most patients maintained their frailty status after discharge. Overall, 135 (28%) patients died during IC stay. Frailty, measured either at baseline or admission, was significantly associated with mortality, although it showed a stronger contribution when measured on admission (HR 1.16; 95%CI 1.10–1.22; p < 0.001) compared to baseline (HR 1.10; 1.05–1.15; p < 0.001). When including frailty measurements at the two time points (i.e., baseline and IC admission) in a multivariate model, frailty measured on IC admission but not at baseline significantly contributed to explaining mortality during IC stay.

Conclusions

Frailty status varied before and during admission to IC. Of the serial frailty measures we collected, frailty on IC admission was the strongest predictor of mortality. Results from this observational study suggest that routine frailty measurement on IC admission could aid clinical management decisions.
Appendix
Available only for authorised users
Literature
2.
go back to reference Joosten E, Demuynck M, Detroyer E, Milisen K. Prevalence of frailty and its ability to predict in hospital delirium, falls, and 6-month mortality in hospitalized older patients. BMC Geriatr. 2014;14(1):1–9.CrossRef Joosten E, Demuynck M, Detroyer E, Milisen K. Prevalence of frailty and its ability to predict in hospital delirium, falls, and 6-month mortality in hospitalized older patients. BMC Geriatr. 2014;14(1):1–9.CrossRef
3.
go back to reference Richards SJG, D’Souza J, Pascoe R, Falloon M, Frizelle FA. Prevalence of frailty in a tertiary hospital: A point prevalence observational study. PLoS ONE. 2019;14(7):e0219083.CrossRef Richards SJG, D’Souza J, Pascoe R, Falloon M, Frizelle FA. Prevalence of frailty in a tertiary hospital: A point prevalence observational study. PLoS ONE. 2019;14(7):e0219083.CrossRef
4.
go back to reference Kanwar A, Singh M, Lennon R, Ghanta K, McNallan SM, Roger VL. Frailty and health-related quality of life among residents of long-term care facilities. J Aging Health. 2013;25(5):792–802.CrossRef Kanwar A, Singh M, Lennon R, Ghanta K, McNallan SM, Roger VL. Frailty and health-related quality of life among residents of long-term care facilities. J Aging Health. 2013;25(5):792–802.CrossRef
5.
go back to reference Gill TM, Allore HG, Gahbauer EA, Murphy TE. Change in disability after hospitalization or restricted activity in older persons. JAMA. 2010;304(17):1919–28.CrossRef Gill TM, Allore HG, Gahbauer EA, Murphy TE. Change in disability after hospitalization or restricted activity in older persons. JAMA. 2010;304(17):1919–28.CrossRef
6.
go back to reference Kundi H, Wadhera RK, Strom JB, et al. Association of frailty with 30-day outcomes for acute myocardial infarction, heart failure, and pneumonia among elderly adults. JAMA Cardiol. 2019;4(11):1084–91.CrossRef Kundi H, Wadhera RK, Strom JB, et al. Association of frailty with 30-day outcomes for acute myocardial infarction, heart failure, and pneumonia among elderly adults. JAMA Cardiol. 2019;4(11):1084–91.CrossRef
10.
go back to reference Abete P, Basile C, Bulli G, et al. The Italian version of the “frailty index” based on deficits in health: a validation study. Aging Clin Exp Res. 2017;29(5):913–26.CrossRef Abete P, Basile C, Bulli G, et al. The Italian version of the “frailty index” based on deficits in health: a validation study. Aging Clin Exp Res. 2017;29(5):913–26.CrossRef
11.
go back to reference Martin FC, Brighton P. Frailty: different tools for different purposes? Age Ageing. 2008;37(2):129–31.CrossRef Martin FC, Brighton P. Frailty: different tools for different purposes? Age Ageing. 2008;37(2):129–31.CrossRef
16.
19.
go back to reference Santaeugènia SJ, Contel JC, Vela E, et al. Characteristics and service utilization by complex chronic and advanced chronic patients in Catalonia: a retrospective seven-year cohort-based study of an implemented chronic care program. Int J Environ Res Public Health. 2021;18(18):9473.CrossRef Santaeugènia SJ, Contel JC, Vela E, et al. Characteristics and service utilization by complex chronic and advanced chronic patients in Catalonia: a retrospective seven-year cohort-based study of an implemented chronic care program. Int J Environ Res Public Health. 2021;18(18):9473.CrossRef
21.
go back to reference Chamberlain AM, Finney Rutten LJ, Manemann SM, et al. Frailty trajectories in an elderly population-based cohort. J Am Geriatr Soc. 2016;64(2):285–92.CrossRef Chamberlain AM, Finney Rutten LJ, Manemann SM, et al. Frailty trajectories in an elderly population-based cohort. J Am Geriatr Soc. 2016;64(2):285–92.CrossRef
22.
go back to reference Kojima G, Iliffe S, Walters K. Frailty index as a predictor of mortality: a systematic review and meta-analysis. Age Ageing. 2018;47(2):193–200.CrossRef Kojima G, Iliffe S, Walters K. Frailty index as a predictor of mortality: a systematic review and meta-analysis. Age Ageing. 2018;47(2):193–200.CrossRef
23.
go back to reference Thompson MQ, Theou O, Tucker GR, Adams RJ, Visvanathan R. Recurrent measurement of frailty is important for mortality prediction: findings from the north West Adelaide health study. J Am Geriatr Soc. 2019;67(11):2311–7.CrossRef Thompson MQ, Theou O, Tucker GR, Adams RJ, Visvanathan R. Recurrent measurement of frailty is important for mortality prediction: findings from the north West Adelaide health study. J Am Geriatr Soc. 2019;67(11):2311–7.CrossRef
25.
go back to reference Amblàs-Novellas J, Martori JC, Espaulella J, et al. Frail-VIG index: a concise frailty evaluation tool for rapid geriatric assessment. BMC Geriatr. 2018;18(1):1–12.CrossRef Amblàs-Novellas J, Martori JC, Espaulella J, et al. Frail-VIG index: a concise frailty evaluation tool for rapid geriatric assessment. BMC Geriatr. 2018;18(1):1–12.CrossRef
26.
go back to reference Torné A, Puigoriol E, Zabaleta-del-Olmo E, Zamora-Sánchez J-J, Santaeugènia S, Amblàs-Novellas J. Reliability, validity, and feasibility of the frail-VIG index. Int J Environ Res Public Health. 2021;18(10):5187.CrossRef Torné A, Puigoriol E, Zabaleta-del-Olmo E, Zamora-Sánchez J-J, Santaeugènia S, Amblàs-Novellas J. Reliability, validity, and feasibility of the frail-VIG index. Int J Environ Res Public Health. 2021;18(10):5187.CrossRef
28.
go back to reference Zamora-Sánchez JJ, Zabaleta-del-Olmo E, Gea-Caballero V, Julián-Rochina I, Pérez-Tortajada G, Amblàs-Novellas J. Convergent and discriminative validity of the Frail-VIG index with the EQ-5D-3L in people cared for in primary health care. BMC Geriatr. 2021;21(1):1–7. https://doi.org/10.1186/s12877-021-02369-6.CrossRef Zamora-Sánchez JJ, Zabaleta-del-Olmo E, Gea-Caballero V, Julián-Rochina I, Pérez-Tortajada G, Amblàs-Novellas J. Convergent and discriminative validity of the Frail-VIG index with the EQ-5D-3L in people cared for in primary health care. BMC Geriatr. 2021;21(1):1–7. https://​doi.​org/​10.​1186/​s12877-021-02369-6.CrossRef
29.
go back to reference R Core Team. R: A language and environment for statistical com‐puting. R Foundation for Statistical Computing, Vienna, Austria. Published 2021. https://www.r-project.org Accessed 20 Dec, 2021. R Core Team. R: A language and environment for statistical com‐puting. R Foundation for Statistical Computing, Vienna, Austria. Published 2021. https://​www.​r-project.​org Accessed 20 Dec, 2021.
33.
go back to reference Chang S, Lin H, Cheng C. The relationship of frailty and hospitalization among older people: evidence from a meta-analysis. J Nurs Scholarsh. 2018;50(4):383–91.CrossRef Chang S, Lin H, Cheng C. The relationship of frailty and hospitalization among older people: evidence from a meta-analysis. J Nurs Scholarsh. 2018;50(4):383–91.CrossRef
34.
go back to reference Romero-Ortuno R, Wallis S, Biram R, Keevil V. Clinical frailty adds to acute illness severity in predicting mortality in hospitalized older adults: an observational study. Eur J Intern Med. 2016;35:24–34.CrossRef Romero-Ortuno R, Wallis S, Biram R, Keevil V. Clinical frailty adds to acute illness severity in predicting mortality in hospitalized older adults: an observational study. Eur J Intern Med. 2016;35:24–34.CrossRef
Metadata
Title
Transitions between degrees of multidimensional frailty among older people admitted to intermediate care: a multicentre prospective study
Authors
Jordi Amblàs-Novellas
Anna Torné
Ramon Oller
Joan Carles Martori
Joan Espaulella
Roman Romero-Ortuno
Publication date
01-12-2022
Publisher
BioMed Central
Keyword
Care
Published in
BMC Geriatrics / Issue 1/2022
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-022-03378-9

Other articles of this Issue 1/2022

BMC Geriatrics 1/2022 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine