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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...

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Autores principales: Hubbard, Ruth E, Peel, Nancye M, Samanta, Mayukh, Gray, Leonard C, Fries, Brant E, Mitnitski, Arnold, Rockwood, Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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.
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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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