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An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study

OBJECTIVES: The development of frailty tools from electronically recorded healthcare data allows frailty assessments to be routinely generated, potentially beneficial for individuals and healthcare providers. We wished to assess the predictive validity of a frailty index (FI) derived from interRAI C...

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Autores principales: Bloomfield, Katherine, Wu, Zhenqiang, Tatton, Annie, Calvert, Cheryl, Peel, Nancye, Hubbard, Ruth, Jamieson, Hamish, Hikaka, Joanna, Boyd, Michal, Bramley, Dale, Connolly, Martin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890727/
https://www.ncbi.nlm.nih.gov/pubmed/35235598
http://dx.doi.org/10.1371/journal.pone.0264715
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author Bloomfield, Katherine
Wu, Zhenqiang
Tatton, Annie
Calvert, Cheryl
Peel, Nancye
Hubbard, Ruth
Jamieson, Hamish
Hikaka, Joanna
Boyd, Michal
Bramley, Dale
Connolly, Martin J.
author_facet Bloomfield, Katherine
Wu, Zhenqiang
Tatton, Annie
Calvert, Cheryl
Peel, Nancye
Hubbard, Ruth
Jamieson, Hamish
Hikaka, Joanna
Boyd, Michal
Bramley, Dale
Connolly, Martin J.
author_sort Bloomfield, Katherine
collection PubMed
description OBJECTIVES: The development of frailty tools from electronically recorded healthcare data allows frailty assessments to be routinely generated, potentially beneficial for individuals and healthcare providers. We wished to assess the predictive validity of a frailty index (FI) derived from interRAI Community Health Assessment (CHA) for outcomes in older adults residing in retirement villages (RVs), elsewhere called continuing care retirement communities. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: 34 RVs across two district health boards in Auckland, Aotearoa New Zealand (NZ). 577 participants, mean age 81 years; 419 (73%) female; 410 (71%) NZ European, 147 (25%) other European, 8 Asian (1%), 7 Māori (1%), 1 Pasifika (<1%), 4 other (<1%). METHODS: interRAI-CHA FI tool was used to stratify participants into fit (0–0.12), mild (>0.12–0.24), moderate (>0.24–0.36) and severe (>0.36) frail groups at baseline (the latter two grouped due to low numbers of severely frail). Primary outcome was acute hospitalization; secondary outcomes included long-term care (LTC) entry and mortality. The relationship between frailty and outcomes were explored with multivariable Cox regression, estimating hazard ratios (HRs) and 95% confidence intervals (95%CIs). RESULTS: Over mean follow-up of 2.5 years, 33% (69/209) of fit, 58% (152/260) mildly frail and 79% (85/108) moderate-severely frail participants at baseline had at least one acute hospitalization. Compared to the fit group, significantly increased risk of acute hospitalization were identified in mildly frail (adjusted HR = 1.88, 95%CI = 1.41–2.51, p<0.001) and moderate-severely frail (adjusted HR = 3.52, 95%CI = 2.53–4.90, p<0.001) groups. Similar increased risk in moderate-severely frail participants was seen in LTC entry (adjusted HR = 5.60 95%CI = 2.47–12.72, p<0.001) and mortality (adjusted HR = 5.06, 95%CI = 1.71–15.02, p = 0.003). CONCLUSIONS AND IMPLICATIONS: The FI derived from interRAI-CHA has robust predictive validity for acute hospitalization, LTC entry and mortality. This adds to the growing literature of use of interRAI tools in this way and may assist healthcare providers with rapid identification of frailty.
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spelling pubmed-88907272022-03-03 An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study Bloomfield, Katherine Wu, Zhenqiang Tatton, Annie Calvert, Cheryl Peel, Nancye Hubbard, Ruth Jamieson, Hamish Hikaka, Joanna Boyd, Michal Bramley, Dale Connolly, Martin J. PLoS One Research Article OBJECTIVES: The development of frailty tools from electronically recorded healthcare data allows frailty assessments to be routinely generated, potentially beneficial for individuals and healthcare providers. We wished to assess the predictive validity of a frailty index (FI) derived from interRAI Community Health Assessment (CHA) for outcomes in older adults residing in retirement villages (RVs), elsewhere called continuing care retirement communities. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: 34 RVs across two district health boards in Auckland, Aotearoa New Zealand (NZ). 577 participants, mean age 81 years; 419 (73%) female; 410 (71%) NZ European, 147 (25%) other European, 8 Asian (1%), 7 Māori (1%), 1 Pasifika (<1%), 4 other (<1%). METHODS: interRAI-CHA FI tool was used to stratify participants into fit (0–0.12), mild (>0.12–0.24), moderate (>0.24–0.36) and severe (>0.36) frail groups at baseline (the latter two grouped due to low numbers of severely frail). Primary outcome was acute hospitalization; secondary outcomes included long-term care (LTC) entry and mortality. The relationship between frailty and outcomes were explored with multivariable Cox regression, estimating hazard ratios (HRs) and 95% confidence intervals (95%CIs). RESULTS: Over mean follow-up of 2.5 years, 33% (69/209) of fit, 58% (152/260) mildly frail and 79% (85/108) moderate-severely frail participants at baseline had at least one acute hospitalization. Compared to the fit group, significantly increased risk of acute hospitalization were identified in mildly frail (adjusted HR = 1.88, 95%CI = 1.41–2.51, p<0.001) and moderate-severely frail (adjusted HR = 3.52, 95%CI = 2.53–4.90, p<0.001) groups. Similar increased risk in moderate-severely frail participants was seen in LTC entry (adjusted HR = 5.60 95%CI = 2.47–12.72, p<0.001) and mortality (adjusted HR = 5.06, 95%CI = 1.71–15.02, p = 0.003). CONCLUSIONS AND IMPLICATIONS: The FI derived from interRAI-CHA has robust predictive validity for acute hospitalization, LTC entry and mortality. This adds to the growing literature of use of interRAI tools in this way and may assist healthcare providers with rapid identification of frailty. Public Library of Science 2022-03-02 /pmc/articles/PMC8890727/ /pubmed/35235598 http://dx.doi.org/10.1371/journal.pone.0264715 Text en © 2022 Bloomfield et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bloomfield, Katherine
Wu, Zhenqiang
Tatton, Annie
Calvert, Cheryl
Peel, Nancye
Hubbard, Ruth
Jamieson, Hamish
Hikaka, Joanna
Boyd, Michal
Bramley, Dale
Connolly, Martin J.
An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study
title An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study
title_full An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study
title_fullStr An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study
title_full_unstemmed An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study
title_short An interRAI derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: A prospective cohort study
title_sort interrai derived frailty index predicts acute hospitalizations in older adults residing in retirement villages: a prospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890727/
https://www.ncbi.nlm.nih.gov/pubmed/35235598
http://dx.doi.org/10.1371/journal.pone.0264715
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