Skip to main content
Log in

Success of Simpler Modified Fried Frailty Scale to Predict Mortality among Nursing Home Residents

  • Published:
The journal of nutrition, health & aging

An Erratum to this article was published on 06 March 2021

This article has been updated

Abstract

Objective

Fried frailty scale is the very first and most commonly used assessment scale for an operational definition of frailty with its demonstrated success as a predictor of mobility limitations and mortality. However, it is impractical for use in routine clinical practice. We aimed to study whether a simpler modified Fried frailty scale could predict mortality among nursing home residents.

Design

Retrospective longitudinal follow-up study.

Setting

Nursing home. Baseline evaluation was performed in 2009. Mortality was assessed after 4 year.

Participants

Two hundred-twenty-four participants were included.

Measurements

Residents were assessed for demographic characteristics, falls, dementia, the number of regular medications and chronic diseases, body composition by bioimpedance analysis, basic and instrumental activities of daily living besides frailty status by a modified Fried frailty scale. The residents were assessed for mortality after a median follow-up time of 46 months. The association of frailty with mortality was analyzed by the Kaplan-Meier Log-rank test and multivariate Cox Regression analysis.

Results

Mortality occurred in 90 (40.2%) of the residents. In multivariate analysis, frailty was an independent predictor of death (Hazzard ratio= 1.4, 95% confidence interval= 1.03–2.6, p=0.03) when adjusted by age, sex, presence of malnutrition, low muscle mass, number of chronic diseases and regular medications.

Conclusion

Our results suggest that the simpler modified Fried frailty scale can be used as a screening tool for frailty in everyday practice as a tool to identify risky patients for mortality. Future reports studying its role in predicting other adverse outcomes associated with frailty are needed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2

Similar content being viewed by others

Change history

References

  1. Xue, Q.L., The frailty syndrome: definition and natural history. Clin Geriatr Med, 2011. 27(1): p. 1–15.

    Article  CAS  Google Scholar 

  2. Martin, F.C. and P. Brighton, Frailty: different tools for different purposes? Age Ageing, 2008. 37(2): p. 129–31.

    Article  Google Scholar 

  3. Mitnitski, A.B., et al., The mortality rate as a function of accumulated deficits in a frailty index. Mech Ageing Dev, 2002. 123(11): p. 1457–60.

    Article  Google Scholar 

  4. Shamliyan, T., et al., Association of frailty with survival: a systematic literature review. Ageing Res Rev, 2013. 12(2): p. 719–36.

    Article  Google Scholar 

  5. Fried, L.P., et al., Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci, 2001. 56(3): p. M146–56.

    Article  CAS  Google Scholar 

  6. Taylor, H.L., et al., A questionnaire for the assessment of leisure time physical activities. J Chronic Dis, 1978. 31(12): p. 741–55.

    Article  CAS  Google Scholar 

  7. Dent, E., P. Kowal, and E.O. Hoogendijk, Frailty measurement in research and clinical practice: A review. Eur J Intern Med, 2016. 31: p. 3–10.

    Article  Google Scholar 

  8. Bahat, G., et al., Which body mass index (BMI) is better in the elderly for functional status? Arch Gerontol Geriatr, 2012. 54(1): p. 78–81.

    Article  Google Scholar 

  9. Cho, C.Y., et al., The association between chronic illness and functional change among participants in a comprehensive geriatric assessment program. J Am Geriatr Soc, 1998. 46(6): p. 677–82.

    Article  CAS  Google Scholar 

  10. Vellas, B., et al., The Mini Nutritional Assessment (MNA) and its use in grading the nutritional state of elderly patients. Nutrition, 1999. 15(2): p. 116–22.

    Article  CAS  Google Scholar 

  11. Deurenberg P.P.A., Wang ZM, Heymsfield SB. Prediction of total bodyskeletal muscle mass from fat-free mass or intra-cellular water. Int J BodyCompos Res 2004;2:107e13.

    Google Scholar 

  12. Bahat, G., et al., Cut-off points to identify sarcopenia according to European Working Group on Sarcopenia in Older People (EWGSOP) definition. Clin Nutr, 2016. 35(6): p. 1557–1563.

    Article  Google Scholar 

  13. Buta, B.J., et al., Frailty assessment instruments: Systematic characterization of the uses and contexts of highly-cited instruments. Ageing Res Rev, 2016. 26: p. 53–61.

    Article  Google Scholar 

  14. Wang, M.C., et al., Frailty, transition in frailty status and all-cause mortality in older adults of a Taichung community-based population. BMC Geriatr, 2019. 19(1): p. 26.

    Article  Google Scholar 

  15. Pereira, A.A., F.S.A. Borim, and A.L. Neri, Risk of death in elderly persons based on the frailty phenotype and the frailty index: a review study. Revista Brasileira de Geriatria e Gerontologia, 2017. 20: p. 273–285.

    Article  Google Scholar 

  16. Morley, J.E., et al., Frailty consensus: a call to action. J Am Med Dir Assoc, 2013. 14(6): p. 392–7.

    Article  Google Scholar 

  17. Morley, J.E., T.K. Malmstrom, and D.K. Miller, A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans. J Nutr Health Aging, 2012. 16(7): p. 601–8.

    Article  CAS  Google Scholar 

  18. Vellas, B., et al., Looking for frailty in community-dwelling older persons: the Gérontopôle Frailty Screening Tool (GFST). J Nutr Health Aging, 2013. 17(7): p. 629–31.

    Article  CAS  Google Scholar 

  19. Raîche, M., R. Hébert, and M.F. Dubois, PRISMA-7: a case-finding tool to identify older adults with moderate to severe disabilities. Arch Gerontol Geriatr, 2008. 47(1): p. 9–18.

    Article  Google Scholar 

  20. Rockwood, K., et al., A global clinical measure of fitness and frailty in elderly people. Cmaj, 2005. 173(5): p. 489–95.

    Article  Google Scholar 

  21. The Improvement Hub (ihub) of Healthcare Improvement Scotland. Frailty screening and assessment tools comparator. Published June 2017, u.J.h.i.s.m.-f.-.

  22. Kojima, G., Frailty Defined by FRAIL Scale as a Predictor of Mortality: A Systematic Review and Meta-analysis. J Am Med Dir Assoc, 2018. 19(6): p. 480–483.

    Article  Google Scholar 

  23. G., K., Frailty Defined by FRAIL Scale as a Predictor of Mortality: A Systematic Review and Meta-analysis Journal of the American Medical Directors Association, 2018 19(6): p. 480–483.

    Article  Google Scholar 

  24. Gill, T.M., et al., Transitions between frailty states among community-living older persons. Arch Intern Med, 2006. 166(4): p. 418–23.

    Article  Google Scholar 

  25. Pahor, M., et al., Effect of structured physical activity on prevention of major mobility disability in older adults: the LIFE study randomized clinical trial. Jama, 2014. 311(23): p. 2387–96.

    Article  CAS  Google Scholar 

  26. Checa-López, M., et al., FRAILTOOLS study protocol: a comprehensive validation of frailty assessment tools to screen and diagnose frailty in different clinical and social settings and to provide instruments for integrated care in older adults. BMC Geriatr, 2019. 19(1): p. 86.

    Article  Google Scholar 

  27. Freiheit, E.A., et al., Operationalizing frailty among older residents of assisted living facilities. BMC Geriatrics, 2011. 11(1): p. 23.

    Article  Google Scholar 

  28. de la Rica-Escuín, M., et al., Frailty and mortality or incident disability in institutionalized older adults: the FINAL study. Maturitas, 2014. 78(4): p. 329–34.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

Author Contributions: This study was designed by all authors. Data were obtained by BI, HD and AT. Statistical analysis was performed by GB. GB, BI and MAK prepared the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Gulistan Bahat.

Ethics declarations

Ethical Standarts: The manuscript complies with the Ethical Rules for publication.

Ethical standards: The authors declare that the study procedures comply with current ethical standards for research involving human participants in Turkey. The study protocol had been approved by the ethical committee of Istanbul University, Istanbul Medical School.

Additional information

Disclosure statement: The authors declare no conflict of interest. The study received no financial support.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bahat, G., Ilhan, B., Tufan, A. et al. Success of Simpler Modified Fried Frailty Scale to Predict Mortality among Nursing Home Residents. J Nutr Health Aging 25, 606–610 (2021). https://doi.org/10.1007/s12603-020-1582-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12603-020-1582-2

Key words

Navigation