Cited by 147Frailty in Older AdultsNutrition and Health in AgingPharmaceutical Practices and Patient Outcomes

Frailty: different tools for different purposes?

Martin, F. C., Brighton, P.·2008·Age and Ageing

Abstract

In this issue, Ravaglia et al. [ 1 ], report on ‘a frailty score’, which they have tested as a predictor of a range of adverse health outcomes which they characterise as ‘frailty outcomes’ in people aged 65+ years (mean age at baseline was 74.7) [ 1 ]. The outcomes were death (14.6% of the baseline sample), fractures, hospitalisation, and new onset or worsening of capacity to perform activities of daily living (ADL) during the next 4 years. Their model was arrived at through statistical exploration of data from a longitudinal population study of 1,016 individuals in Italy. The nine variables emerging after multivariate analysis were age >80 years, male gender, low physical activity, co-morbidity, sensory deficits, calf circumference <31 cm (taken as an indicator of sarcopenia), dependence in Instrumental ADL, a Tinetti gait and balance performance score ≤24, and pessimism about one's health compared to others. Together they produce a numerical score which at various cut-points tested was significantly predictive of the ‘frailty outcomes’. While acknowledging that their prognostic score is not yet adequately developed and requires at least to be tested in a remote cohort of older people, the authors suggest that their findings support further investigation of frailty scores for use in clinical geriatric practice. Consideration of the frailty concept and its utility for the geriatrician is certainly welcome. Indeed, in this journal, Rockwood challenged the clinical geriatrics community to recognise frailty as the central raison d'etre of the specialty [ 2 ] and went on to discuss the theoretical and empirical work needed to make a definition of frailty valid and useful [ 3 ]. Part of the work needed is to consider what frailty means from a range of perspectives. Within the clinical research community, particularly in the United States, considerable effort has been made in recent years to achieve a consensus [ 4 , 5 ] and during 2005–06, the Journal of the American Geriatrics Society published 14 papers with frailty in the title. Further progress was reported from the Second International Working Meeting on Frailty and Aging held in Montreal in 2006, leading to several fascinating papers, setting out a spectrum of approaches, published in July 2007 in a special section of the Journals of Gerontology [ 6–9 ]. The shared central notion about frailty is of an older person who is at heightened vulnerability to adverse health status change. The phenotype fitting this has been operationalised with five components—unintentional weight loss, self-reported fatigue and diminished physical activity, and measured impairment (comparative to age-standardised norms) of grip strength and gait speed [ 10 ]. Although this omits cognitive and psychosocial features which are well known to be predictive of adverse health outcomes such as loss of functional ability, institutionalisation and death, this physical frailty phenotype has demonstrated predictive power for adverse health outcomes in several cohorts of older people [ 10 , 11 ]. This highlights two of the contesting concepts about frailty. The first concept is of a syndrome associated with underlying physiological and metabolic changes, which may be inter-related and which are responsible for driving progressive physical and cognitive impairments through to loss of functional capacity, often helped on the way by acute or chronic disease or injury. This approach was encapsulated in a definition of frailty proposed in this journal a decade ago—‘a condition or syndrome which results from a multi-system reduction in reserve capacity to the extent that a number of physiological systems are close to, or past, the threshold of symptomatic failure. As a result, the frail person is at increased risk of disability or death from minor external stresses’ [ 12 ]. This emphasises the pathophysiological causal pathway. Subsequent work has thrown up a number of candidates to occupy this pathway, such as cytokines and other components of the inflammatory response [ 13–15 ]. An alternative approach has been to treat frailty as a collective of risk factors for future adverse events, while not necessarily bearing any pathophysiological relationship to these outcomes. This more pragmatic approach is about identifying people at higher risk of pre-defined adverse outcomes. This could be done for a range of purposes and in a range of contexts and these considerations will influence the measures which are suitable, the thresholds for defining high risk (and therefore by implication frailty) and the time interval between the measurement and the outcome. Only the most general concept of frailty could retain this flexibility. The first approach, of a pathophysiologically driven syndrome, is supported by evidence that differentiates it from ageing. Whether frailty changes are inevitable, as long as premature death does not intervene, remains uncertain [ 9 ] but it seems that frailty is also more than j

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/ageing/afn011

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A recurring concern about the frailty index has been the feasibility of calculating it if a lot of variables are used.

    “a recurring concern about the frailty index has been the feasibility of calculating it if a lot of variables are used [30].”

    From A standard procedure for creating a frailty index (2008) · cites this paper as [30]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Martin, F. C., & Brighton, P.
Affiliations
Guy's and St Thomas' NHS Foundation Trust (GB)
Corresponding author
Martin, F. C.
Venue
Age and Ageing
Published
2008-03-01
Volume
37
Issue
2
Pages
129-131
ISSN
  • 0002-0729 (ISSN-L)
  • 1468-2834
OpenAlex
W2103926154
Cited by
147
References
21
Citations by year
2026: 2 · 2025: 3 · 2024: 2 · 2023: 8 · 2022: 6 · 2021: 11 · 2020: 7 · 2019: 8 · 2018: 4 · 2017: 12 · 2016: 13 · 2015: 8 · 2014: 6 · 2013: 14 · 2012: 11
Type
journal article
Language
en
Open access
closed
Locations
  • Age and Ageing (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
Keywords
frailty, frailty score, prognostic model, older adults, mortality, fracture, hospitalization, activities of daily living, instrumental activities of daily living, sarcopenia, gait and balance, frailty definition, Fried frailty phenotype, physical activity, comorbidities, calf circumference
MeSH terms
Aged, Aged, 80 and over, Female, Health Status, Health Status Indicators, Humans, Male, Physical Fitness, Predictive Value of Tests, Sensitivity and Specificity, Geriatric Assessment, Frail Elderly, Sickness Impact Profile

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review