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Comparative Study
. 2010 Aug 24:10:57.
doi: 10.1186/1471-2318-10-57.

A frailty instrument for primary care: findings from the Survey of Health, Ageing and Retirement in Europe (SHARE)

Affiliations
Comparative Study

A frailty instrument for primary care: findings from the Survey of Health, Ageing and Retirement in Europe (SHARE)

Roman Romero-Ortuno et al. BMC Geriatr. .

Abstract

Background: A frailty paradigm would be useful in primary care to identify older people at risk, but appropriate metrics at that level are lacking. We created and validated a simple instrument for frailty screening in Europeans aged ≥50. Our study is based on the first wave of the Survey of Health, Ageing and Retirement in Europe (SHARE, http://www.share-project.org), a large population-based survey conducted in 2004-2005 in twelve European countries.

Subjects: SHARE Wave 1 respondents (17,304 females and 13,811 males).

Measures: five SHARE variables approximating Fried's frailty definition. Analyses (for each gender): 1) estimation of a discreet factor (DFactor) model based on the frailty variables using LatentGOLD. A single DFactor with three ordered levels or latent classes (i.e. non-frail, pre-frail and frail) was modelled; 2) the latent classes were characterised against a biopsychosocial range of Wave 1 variables; 3) the prospective mortality risk (unadjusted and age-adjusted) for each frailty class was established on those subjects with known mortality status at Wave 2 (2007-2008) (11,384 females and 9,163 males); 4) two web-based calculators were created for easy retrieval of a subject's frailty class given any five measurements.

Results: Females: the DFactor model included 15,578 cases (standard R2 = 0.61). All five frailty indicators discriminated well (p < 0.001) between the three classes: non-frail (N = 10,420; 66.9%), pre-frail (N = 4,025; 25.8%), and frail (N = 1,133; 7.3%). Relative to the non-frail class, the age-adjusted Odds Ratio (with 95% Confidence Interval) for mortality at Wave 2 was 2.1 (1.4 - 3.0) in the pre-frail and 4.8 (3.1 - 7.4) in the frail. Males: 12,783 cases (standard R2 = 0.61, all frailty indicators had p < 0.001): non-frail (N = 10,517; 82.3%), pre-frail (N = 1,871; 14.6%), and frail (N = 395; 3.1%); age-adjusted OR (95% CI) for mortality: 3.0 (2.3 - 4.0) in the pre-frail, 6.9 (4.7 - 10.2) in the frail.

Conclusions: The SHARE Frailty Instrument has sufficient construct and predictive validity, and is readily and freely accessible via web calculators. To our knowledge, SHARE-FI represents the first European research effort towards a common frailty language at the community level.

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Figures

Figure 1
Figure 1
Development and validation of SHARE-FI (for each gender).
Figure 2
Figure 2
Selection of predicted DFactor cut-off scores for automatic adjudication of frailty class in the SHARE-FI calculators.

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References

    1. Ahmed N, Mandel R, Fain MJ. Frailty: an emerging geriatric syndrome. Am J Med. 2007;120(9):748–753. doi: 10.1016/j.amjmed.2006.10.018. - DOI - PubMed
    1. Nowak A, Hubbard RE. Falls and frailty: lessons from complex systems. J R Soc Med. 2009;102(3):98–102. doi: 10.1258/jrsm.2009.080274. - DOI - PMC - PubMed
    1. Ensrud KE, Ewing SK, Cawthon PM, Fink HA, Taylor BC, Cauley JA, Dam TT, Marshall LM, Orwoll ES, Cummings SR. A comparison of frailty indexes for the prediction of falls, disability, fractures, and mortality in older men. J Am Geriatr Soc. 2009;57(3):492–498. doi: 10.1111/j.1532-5415.2009.02137.x. - DOI - PMC - PubMed
    1. Boyd CM, Xue QL, Simpson CF, Guralnik JM, Fried LP. Frailty, hospitalization, and progression of disability in a cohort of disabled older women. Am J Med. 2005;118(11):1225–1231. doi: 10.1016/j.amjmed.2005.01.062. - DOI - PubMed
    1. Santos-Eggimann B, Karmaniola A, Seematter-Bagnoud L, Spagnoli J, Bula C, Cornuz J, Rodondi N, Vollenweider P, Waeber G, Pecoud A. The Lausanne cohort Lc65+: a population-based prospective study of the manifestations, determinants and outcomes of frailty. BMC Geriatr. 2008;8:20. doi: 10.1186/1471-2318-8-20. - DOI - PMC - PubMed

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