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A prediction model to identify hospitalised, older adults with reduced physical performance

BACKGROUND: Identifying older adults with reduced physical performance at the time of hospital admission can significantly affect patient management and trajectory. For example, such patients could receive targeted hospital interventions such as routine mobilisation. Furthermore, at the time of disc...

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Autores principales: Bruun, Inge H., Maribo, Thomas, Nørgaard, Birgitte, Schiøttz-Christensen, Berit, Mogensen, Christian B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719737/
https://www.ncbi.nlm.nih.gov/pubmed/29216838
http://dx.doi.org/10.1186/s12877-017-0671-5
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author Bruun, Inge H.
Maribo, Thomas
Nørgaard, Birgitte
Schiøttz-Christensen, Berit
Mogensen, Christian B.
author_facet Bruun, Inge H.
Maribo, Thomas
Nørgaard, Birgitte
Schiøttz-Christensen, Berit
Mogensen, Christian B.
author_sort Bruun, Inge H.
collection PubMed
description BACKGROUND: Identifying older adults with reduced physical performance at the time of hospital admission can significantly affect patient management and trajectory. For example, such patients could receive targeted hospital interventions such as routine mobilisation. Furthermore, at the time of discharge, health systems could offer these patients additional therapy to maintain or improve health and prevent institutionalisation or readmission. The principle aim of this study was to identify predictors for persisting, reduced physical performance in older adults following acute hospitalisation. METHODS: This was a prospective cohort study that enrolled 117 medical patients, ages 65 or older, who were admitted to a short-stay unit in a Danish emergency department. Patients were included in the study if at the time of admission they performed ≤8 repetitions in the 30-s Chair-Stand Test (30s–CST). The primary outcome measure was the number of 30s–CST repetitions (≤ 8 or >8) performed at the time of follow-up, 34 days after admission. Potential predictors within the first 48 h of admission included: age, gender, ability to climb stairs and walk 400 m, difficulties with activities of daily living before admission, falls, physical activity level, self-rated health, use of a walking aid before admission, number of prescribed medications, 30s–CST, and the De Morton Mobility Index. RESULTS: A total of 78 (67%) patients improved in physical performance in the interval between admission and follow-up assessment, but 76 patients (65%) had persistent reduced physical performance when compared to their baseline (30s–CST ≤ 8). The number of potential predictors was reduced in order to create a simplified prediction model based on 4 variables, namely the use of a walking aid before hospitalisation (score = 1.5), a 30s–CST ≤ 5 (1.8), age > 85 (0.1), and female gender (0.6). A score > 1.8 identified 78% of the older adults who continued to have reduced physical performance following acute hospitalisation. CONCLUSION: At the time of admission, the variables of age, gender, walking aid use, and a 30s–CST score ≤ 5 enabled clinicians to identify 78% of older adults who had persisting reduced physical performance following acute hospitalisation. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02474277. (12.10.2014). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-017-0671-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-57197372017-12-11 A prediction model to identify hospitalised, older adults with reduced physical performance Bruun, Inge H. Maribo, Thomas Nørgaard, Birgitte Schiøttz-Christensen, Berit Mogensen, Christian B. BMC Geriatr Research Article BACKGROUND: Identifying older adults with reduced physical performance at the time of hospital admission can significantly affect patient management and trajectory. For example, such patients could receive targeted hospital interventions such as routine mobilisation. Furthermore, at the time of discharge, health systems could offer these patients additional therapy to maintain or improve health and prevent institutionalisation or readmission. The principle aim of this study was to identify predictors for persisting, reduced physical performance in older adults following acute hospitalisation. METHODS: This was a prospective cohort study that enrolled 117 medical patients, ages 65 or older, who were admitted to a short-stay unit in a Danish emergency department. Patients were included in the study if at the time of admission they performed ≤8 repetitions in the 30-s Chair-Stand Test (30s–CST). The primary outcome measure was the number of 30s–CST repetitions (≤ 8 or >8) performed at the time of follow-up, 34 days after admission. Potential predictors within the first 48 h of admission included: age, gender, ability to climb stairs and walk 400 m, difficulties with activities of daily living before admission, falls, physical activity level, self-rated health, use of a walking aid before admission, number of prescribed medications, 30s–CST, and the De Morton Mobility Index. RESULTS: A total of 78 (67%) patients improved in physical performance in the interval between admission and follow-up assessment, but 76 patients (65%) had persistent reduced physical performance when compared to their baseline (30s–CST ≤ 8). The number of potential predictors was reduced in order to create a simplified prediction model based on 4 variables, namely the use of a walking aid before hospitalisation (score = 1.5), a 30s–CST ≤ 5 (1.8), age > 85 (0.1), and female gender (0.6). A score > 1.8 identified 78% of the older adults who continued to have reduced physical performance following acute hospitalisation. CONCLUSION: At the time of admission, the variables of age, gender, walking aid use, and a 30s–CST score ≤ 5 enabled clinicians to identify 78% of older adults who had persisting reduced physical performance following acute hospitalisation. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02474277. (12.10.2014). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-017-0671-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-07 /pmc/articles/PMC5719737/ /pubmed/29216838 http://dx.doi.org/10.1186/s12877-017-0671-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Bruun, Inge H.
Maribo, Thomas
Nørgaard, Birgitte
Schiøttz-Christensen, Berit
Mogensen, Christian B.
A prediction model to identify hospitalised, older adults with reduced physical performance
title A prediction model to identify hospitalised, older adults with reduced physical performance
title_full A prediction model to identify hospitalised, older adults with reduced physical performance
title_fullStr A prediction model to identify hospitalised, older adults with reduced physical performance
title_full_unstemmed A prediction model to identify hospitalised, older adults with reduced physical performance
title_short A prediction model to identify hospitalised, older adults with reduced physical performance
title_sort prediction model to identify hospitalised, older adults with reduced physical performance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719737/
https://www.ncbi.nlm.nih.gov/pubmed/29216838
http://dx.doi.org/10.1186/s12877-017-0671-5
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