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Derivation of a frailty index from the interRAI acute care instrument
BACKGROUND: A better understanding of the health status of older inpatients could underpin the delivery of more individualised, appropriate health care. METHODS: 1418 patients aged ≥ 70 years admitted to 11 hospitals in Australia were evaluated at admission using the interRAI assessment system for A...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373301/ https://www.ncbi.nlm.nih.gov/pubmed/25887105 http://dx.doi.org/10.1186/s12877-015-0026-z |
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author | Hubbard, Ruth E Peel, Nancye M Samanta, Mayukh Gray, Leonard C Fries, Brant E Mitnitski, Arnold Rockwood, Kenneth |
author_facet | Hubbard, Ruth E Peel, Nancye M Samanta, Mayukh Gray, Leonard C Fries, Brant E Mitnitski, Arnold Rockwood, Kenneth |
author_sort | Hubbard, Ruth E |
collection | PubMed |
description | BACKGROUND: A better understanding of the health status of older inpatients could underpin the delivery of more individualised, appropriate health care. METHODS: 1418 patients aged ≥ 70 years admitted to 11 hospitals in Australia were evaluated at admission using the interRAI assessment system for Acute Care. This instrument surveys a large number of domains, including cognition, communication, mood and behaviour, activities of daily living, continence, nutrition, skin condition, falls, and medical diagnosis. RESULTS: Variables across multiple domains were selected as health deficits. Dichotomous data were coded as symptom absent (0 deficit) or present (1 deficit). Ordinal scales were recoded as 0, 0.5 or 1 deficit based on face validity and the distribution of data. Individual deficit scores were summed and divided by the total number considered (56) to yield a Frailty index (FI-AC) with theoretical range 0–1. The index was normally distributed, with a mean score of 0.32 (±0.14), interquartile range 0.22 to 0.41. The 99% limit to deficit accumulation was 0.69, below the theoretical maximum of 1.0. In logistic regression analysis including age, gender and FI-AC as covariates, each 0.1 increase in the FI-AC increased the likelihood of inpatient mortality twofold (OR: 2.05 [95% CI 1.70 – 2.48]). CONCLUSIONS: Quantification of frailty status at hospital admission can be incorporated into an existing assessment system, which serves other clinical and administrative purposes. This could optimise clinical utility and minimise costs. The variables used to derive the FI-AC are common to all interRAI instruments, and could be used to precisely measure frailty across the spectrum of health care. |
format | Online Article Text |
id | pubmed-4373301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43733012015-03-26 Derivation of a frailty index from the interRAI acute care instrument Hubbard, Ruth E Peel, Nancye M Samanta, Mayukh Gray, Leonard C Fries, Brant E Mitnitski, Arnold Rockwood, Kenneth BMC Geriatr Research Article BACKGROUND: A better understanding of the health status of older inpatients could underpin the delivery of more individualised, appropriate health care. METHODS: 1418 patients aged ≥ 70 years admitted to 11 hospitals in Australia were evaluated at admission using the interRAI assessment system for Acute Care. This instrument surveys a large number of domains, including cognition, communication, mood and behaviour, activities of daily living, continence, nutrition, skin condition, falls, and medical diagnosis. RESULTS: Variables across multiple domains were selected as health deficits. Dichotomous data were coded as symptom absent (0 deficit) or present (1 deficit). Ordinal scales were recoded as 0, 0.5 or 1 deficit based on face validity and the distribution of data. Individual deficit scores were summed and divided by the total number considered (56) to yield a Frailty index (FI-AC) with theoretical range 0–1. The index was normally distributed, with a mean score of 0.32 (±0.14), interquartile range 0.22 to 0.41. The 99% limit to deficit accumulation was 0.69, below the theoretical maximum of 1.0. In logistic regression analysis including age, gender and FI-AC as covariates, each 0.1 increase in the FI-AC increased the likelihood of inpatient mortality twofold (OR: 2.05 [95% CI 1.70 – 2.48]). CONCLUSIONS: Quantification of frailty status at hospital admission can be incorporated into an existing assessment system, which serves other clinical and administrative purposes. This could optimise clinical utility and minimise costs. The variables used to derive the FI-AC are common to all interRAI instruments, and could be used to precisely measure frailty across the spectrum of health care. BioMed Central 2015-03-18 /pmc/articles/PMC4373301/ /pubmed/25887105 http://dx.doi.org/10.1186/s12877-015-0026-z Text en © Hubbard et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Hubbard, Ruth E Peel, Nancye M Samanta, Mayukh Gray, Leonard C Fries, Brant E Mitnitski, Arnold Rockwood, Kenneth Derivation of a frailty index from the interRAI acute care instrument |
title | Derivation of a frailty index from the interRAI acute care instrument |
title_full | Derivation of a frailty index from the interRAI acute care instrument |
title_fullStr | Derivation of a frailty index from the interRAI acute care instrument |
title_full_unstemmed | Derivation of a frailty index from the interRAI acute care instrument |
title_short | Derivation of a frailty index from the interRAI acute care instrument |
title_sort | derivation of a frailty index from the interrai acute care instrument |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373301/ https://www.ncbi.nlm.nih.gov/pubmed/25887105 http://dx.doi.org/10.1186/s12877-015-0026-z |
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