Original study
How should we grade frailty in nursing home patients?

https://doi.org/10.1016/j.jamda.2007.07.012Get rights and content

Objectives

To compare 3 methods of describing the frailty of older adults in nursing homes.

Design

Secondary analysis of a prospective cohort study.

Setting

Canadian long-term care institutions.

Participants

Institutionalized older adults in the second clinical examination cohort of the Canadian Study of Health and Aging (CSHA-2; n = 728).

Measures

Frailty was measured using the Cardiovascular Health Survey definition (Frail-CHS); the CSHA- Clinical Frailty Scale (CSHA-CFS) and a frailty index (FI).

Results

The sample was very elderly (87.7 ± 6.7 years), disabled (83%), and showed a high level of mobility impairment (83%). Each frailty measure correlated moderately well with each other (0.61–0.71) and with a disability measure (–0.45 to –0.53) but only weakly with age (0.13–0.19). By each measure, frailty was significantly associated (P < .01) with an increased risk of mortality, disability and cognitive decline. In a model that included both the frailty-CHS definition and the Frailty Index only the latter was associated with a higher risk of mortality (P < .01 for FI, P = .18 for Frail-CHS) and decline in the 3MS (P < .01 for FI, P = .20 for the Frail-CHS definition). Both measures were significantly associated with new onset disability (P < .01). Similar results were found when both the CSHA-CFS and Frailty Index were included in the models. Random combinations of 15 variables used to make up alternate 5-item Frail-CHS definitions showed that any stratification based on 5 variables allowed tertiles of risk to be discriminated.

Conclusions

Frailty is a robust concept and however defined, elderly people who are frail have worse outcomes than those who are not frail. The 3 measures showed varying ability to express grades of frailty.

Section snippets

Sample/Setting

This is a secondary analysis of data from the clinical sample of the second wave (CSHA-2) of the Canadian Study of Health and Aging (CSHA), a population-based prospective cohort study.31 The CSHA chiefly aimed to document the prevalence of risk factors for cognitive impairment among elderly people. At baseline (CSHA-1) a community-based screening interview used extensive self-report data, and the Modified Mini-Mental State Examination (3MS)32 to screen elderly people for cognitive impairment.

Results

At baseline, the sample was largely female, quite elderly, and very disabled. Important degrees of cognitive and functional impairment, and impaired mobility were common (Table 1).

Each of the frailty measures was moderately correlated with each other and with age (Table 2). Each showed moderate correlations with baseline disability (–0.45 to –0.53). The frailty-CHS definition correlated less well with the 3MS (–0.22) than did the CSHA-CFS (–0.43) or the Frailty Index (–0.50).

Even within this

Discussion

We compared how 3 different frailty measures graded frailty among institutionalized individuals. Each measure was able to stratify the risk of death, and in multivariate analyses, each measure was significantly associated with mortality, decline in 3MS score, and incident disability. When pairs of frailty measures were included in the models, the Frailty Index was significantly associated with mortality and decline in the 3MS. All measures were significantly associated with incident disability.

Conclusion

The 3 measures of frailty studied here each identified people at an increased risk of adverse outcomes. Each has particular strengths. In our view, no one method is so self-evidently superior that it, and only it, can be held to be the only means of defining frailty. The precise definition of frailty remains a worthy challenge.

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    Funds for analysis came from the Canadian Institutes for Health Research (CIHR) grant MOP 628823 and the Dalhousie University Internal Medicine Research Foundation. Kenneth Rockwood is supported by the Dalhousie Medical Research Foundation as Kathryn Allen Weldon Professor of Alzheimer Research.

    The authors assert no financial conflict of interest.

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