Evidence map›Paper›PMID 25887105›Full record

ArticleBMC geriatrics2015

Derivation of a frailty index from the interRAI acute care instrument.

Ruth E Hubbard, Nancye M Peel, Mayukh Samanta, Leonard C Gray, Brant E Fries, Arnold Mitnitski, Kenneth Rockwood

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03139162 (Development of Frailty and Complexity Indices From Data Collected With Resident Assessment Instrument - Home Care Adapted for Switzerland), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03139162 completednot on this map

Development of Frailty and Complexity Indices From Data Collected With Resident Assessment Instrument - Home Care Adapted for Switzerland

TypeobservationalSponsorSchool of Health Sciences GenevaRan2015 to 2023Enrolled10,000ConditionsFrail Elderly SyndromeArmsSwiss RAI-HC assessment
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 114 citations in OpenAlex.

  1. Article
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  6. Frailty in younger adults in hospital.QJM : monthly journal of the Association of Physicians · 2023
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  19. Using elastic nets to estimate frailty burden from routinely collected national aged care data.Journal of the American Medical Informatics Association : JAMIA · 2020
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Ruth E HubbardCentre for Research in Geriatric Medicine, The University of Queensland, Brisbane, QLD, Australia. r.hubbard1@uq.edu.au.
Nancye M PeelCentre for Research in Geriatric Medicine, The University of Queensland, Brisbane, QLD, Australia. n.peel@uq.edu.au.
Mayukh SamantaQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. mayukh.samanta@qimrberghofer.edu.au.
Leonard C GrayCentre for Research in Geriatric Medicine, The University of Queensland, Brisbane, QLD, Australia. len.gray@uq.edu.au.
Brant E FriesGeriatrics Center, Department of Internal Medicine and School of Public Health, University of Michigan, Ann Arbor, MI, USA. bfries@med.umich.edu.
Arnold MitnitskiDepartment of Medicine, Dalhousie University, Halifax, NS, Canada. Arnold.Mitnitski@Dal.Ca.
Kenneth RockwoodDepartment of Medicine, Dalhousie University, Halifax, NS, Canada. Kenneth.Rockwood@Dal.Ca.
University of Queensland · AUQIMR Berghofer Medical Research Institute · AUUniversity of Michigan–Ann Arbor · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Andrzej T Galecki · 2004 to 2026
$29.2M
NIA NIH HHS P30 AG024824
6 · The paper itself

Abstract

backgroundA better understanding of the health status of older inpatients could underpin the delivery of more individualised, appropriate health care.

methods1418 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.

resultsVariables 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]).

conclusionsQuantification 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.

Indexed as

Activities of Daily LivingAgedAged, 80 and overAustraliaCritical CareFemaleFrail ElderlyGeriatric AssessmentHospitalizationHumansMalePatient Admission

Identifiers

PMID25887105
PMCPMC4373301
OpenAlexW2113362975

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.