Advertisement
Original research| Volume 101, ISSUE 4, P592-598, April 2020

Physical Function and Frailty for Predicting Adverse Outcomes in Older Primary Care Patients

Published:December 28, 2019DOI:https://doi.org/10.1016/j.apmr.2019.11.013

      Highlights

      • Function and frailty both predict adverse outcomes among older adults.
      • The choice of screening measure may depend on clinical context.
      • Results need to be confirmed prospectively using multiple frailty measures.

      Abstract

      Objective

      To explore the predictive ability of the Short Physical Performance Battery (SPPB), Late Life Function and Disability Instrument-Function component (LLFDI-function) and frailty phenotype, for falls, hospitalizations, emergency department (ED) visits, and low self-rated health (SRH) over 1 and 2 years in older adults.

      Design

      Secondary analysis of data from a longitudinal study, the Boston Rehabilitative Impairment Study of the Elderly.

      Setting

      Primary care.

      Participants

      Adults 65 years and older at risk for disability who completed ≥1 follow-up call (N=391).

      Interventions

      None.

      Main Outcome Measures

      We computed separate logistic regression models using the SPPB, LLFDI-function, and frailty phenotype as independent variables and falls, hospitalizations, ED visits, and SRH over 1 and 2 years as dependent variables. Receiver operating characteristic curves were constructed and the areas under the curves calculated.

      Results

      Participants had a mean age of 76.5±7.1 years. The SPPB, LLFDI-function, and frailty phenotype all predicted hospitalizations and low SRH over a 1- and 2-year timeframe (odds ratio [OR] min-max, 1.35-1.51 and 1.67-3.07, respectively). Over 2 years, the SPPB predicted ED visits (OR, 1.28), and the LLFDI-function predicted falls (OR, 1.31). The LLFDI-function predicted low SRH better than the frailty phenotype over 1 year. There were no differences between the measures for any of the other outcomes.

      Conclusions

      The SPPB, LLFDI-function, and frailty phenotype had similar accuracy for predicting falls, hospitalizations, ED visits, and low SRH over 1 and 2 years among older primary care patients at risk for disability. As a result, when considering the optimal screening tool for older adults, the choice between a measure of function and frailty may ultimately depend on clinical preference and context.

      Keywords

      List of abbreviations:

      AUC (area under the curve), BMI (body mass index), ED (emergency department), LLFDI-function (Late Life Function and Disability Instrument-Function component), OR (odds ratio), PASE (Physical Activity Scale for the Elderly), RISE (Rehabilitative Impairment Study of the Elderly), ROC (receiver operating characteristic), SPPB (Short Physical Performance Battery), SRH (self-rated health)
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Archives of Physical Medicine and Rehabilitation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • He W.
        • Goodkind D.
        • Kowal P.
        An aging world.
        (Available at:)
        • Institute of Medicine (US)
        Committee on the Future Health Care Workforce for Older Americans. Retooling for an aging America: building the health care workforce.
        National Academies Press, Washington (DC)2008
        • Fuller G.F.
        Falls in the elderly.
        Am Fam Physician. 2000; 61: 2159-2168
        • Boyd C.M.
        • Weiss C.O.
        • Halter J.
        • Han K.C.
        • Ershler W.B.
        • Fried L.P.
        Framework for evaluating disease severity measures in older adults with comorbidity.
        J Gerontol A Biol Sci Med Sci. 2007; 62: 286-295
        • Holt N.E.
        • Percac-Lima S.
        • Kurlinski L.A.
        • et al.
        The Boston rehabilitative impairment study of the elderly: a description of methods.
        Arch Phys Med Rehabil. 2013; 94: 347-355
        • Fried L.P.
        • Tangen C.M.
        • Walston J.
        • et al.
        Frailty in older adults: evidence for a phenotype.
        J Gerontol Med Sci. 2001; 56A: 146-156
        • Aguilar-Navarro S.
        • Gutiérrez-Robledo L.M.
        • García-Lara J.M.
        • Payette H.
        • Amieva H.
        • Avila-Funes J.A.
        The phenotype of frailty predicts disability and mortality among Mexican community-dwelling elderly.
        J Frailty Aging. 2012; 1: 111-117
        • Lee Y.
        • Kim J.
        • Han E.S.
        • Ryu M.
        • Cho Y.
        • Chae S.
        Frailty and body mass index as predictors of 3-year mortality in older adults living in the community.
        Gerontology. 2014; 60: 475-482
        • Guralnik J.M.
        • Simonsick E.M.
        • Ferrucci L.
        • et al.
        A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission.
        J Gerontol. 1994; 49: 85-94
        • Veronese N.
        • Bolzetta F.
        • Toffanello E.D.
        • et al.
        Association between short physical performance battery and falls in older people: the Progetto Veneto Anziani study.
        Rejuvenation Res. 2014; 17: 276-284
        • Veronese N.
        • Stubbs B.
        • Fontana L.
        • et al.
        A comparison of objective physical performance tests and future mortality in the elderly people.
        J Gerontol A Biol Sci Med Sci. 2017; 72: 362-368
        • Morley J.E.
        • Vellas B.
        • van Kan G.A.
        • et al.
        Frailty consensus: a call to action.
        J Am Med Dir Assoc. 2013; 14: 392-397
        • Chen X.
        • Mao G.
        • Leng S.X.
        Frailty syndrome: an overview.
        Clin Interv Aging. 2014; 9: 433-441
        • Buta B.J.
        • Walston J.D.
        • Godino J.G.
        • et al.
        Frailty assessment instruments: systematic characterization of the uses and contexts of highly-cited instruments.
        Ageing Res Rev. 2016; 26: 53-61
        • Jette A.M.
        Toward a common language of disablement.
        J Gerontol A Biol Med Sci. 2009; 64A: 1165-1168
        • Fritz S.
        • Lusardi M.
        White paper: walking speed: the sixth vital sign.
        J Geriatr Phys Ther. 2009; 32: 46-49
        • Beauchamp M.K.
        • Jette A.M.
        • Ward R.E.
        • et al.
        Predictive validity and responsiveness of patient-reported and performance-based measures of function in the Boston RISE study.
        J Gerontol Med Sci. 2015; : 616-622
        • Kapoor A.
        • Matheos T.
        • Walz M.
        • et al.
        Self-reported function more informative than frailty phenotype in predicting adverse postoperative course in older adults.
        J Am Geriatr Soc. 2017; 65: 2522-2528
        • Mulasso A.
        • Roppolo M.
        • Gobbens R.J.
        • Rabaglietti E.
        Mobility, balance and frailty in community-dwelling older adults: what is the best 1-year predictor of falls?.
        Geriatr Gerontol Int. 2017; 17: 1463-1469
        • Studenski S.
        • Perera S.
        • Wallace D.
        • et al.
        Physical performance measures in the clinical setting.
        J Am Geriatr Soc. 2003; 51: 314-322
        • Freiberger E.
        • de Vreede P.
        • Schoene D.
        • et al.
        Performance-based physical function in older community-dwelling persons: a systematic review of instruments.
        Age Ageing. 2012; 41: 712-721
        • Pavasani R.
        • Guralnik J.
        • Brown J.C.
        • et al.
        Short physical performance battery and all-cause mortality: systematic review and meta-analysis.
        BMC Med. 2016; 14: 215
        • Jette A.M.
        • Haley S.M.
        • Kooyoomjian J.T.
        Late-Life FDI manual.
        (Available at:)
        • Beauchamp M.K.
        • Schmidt C.T.
        • Pedersen M.M.
        • Bean J.F.
        • Jette A.M.
        Psychometric properties of the Late-Life Function and Disability Instrument: a systematic review.
        BMC Geriatrics. 2014; 14: 12
        • Collard R.M.
        • Boter H.
        • Schoevers R.A.
        • Voshaar R.C.O.
        Prevalence of frailty in community-dwelling older persons: a systematic review.
        J Am Geriatr Soc. 2012; 60: 1487-1492
        • Avlund K.
        • Holstein B.E.
        Functional ability among elderly people in three service settings: the discriminatory power of a new functional ability scale.
        Eur J Epidemiol. 1998; 14: 783-790
        • Goldberg A.
        • Schepens S.
        Measurement error and minimum detectable change in 4-meter gait speed in older adults.
        Aging Clin Exp Res. 2011; 23: 406-412
        • Washburn R.A.
        • Smith K.W.
        • Jette A.M.
        • Janney C.A.
        The physical activity scale for the elderly (PASE): development and evaluation.
        J Clin Epidemiol. 1993; 46: 153-162
        • Theou O.
        • Cann L.
        • Blodgett J.
        • Wallace L.M.K.
        • Brothers T.D.
        • Rockwood K.
        Modifications to the frailty phenotype criteria: systematic review of the current literature and investigation of 262 frailty phenotypes in the survey of health, ageing and retirement in Europe.
        Ageing Res Rev. 2015; 21: 78-94
        • Bamia C.
        • Orfanos P.
        • Juerges H.
        • et al.
        Self-rated health and all-cause and cause-specific mortality of older adults: individual data meta-analysis of prospective cohort studies in the CHANCES Consortium.
        Maturitas. 2017; 103: 37-44
        • Li C.
        Little’s test of missing completely at random.
        Stata J. 2013; 13: 795-809
        • LaPier T.K.
        Utility of the late life function and disability instrument as an outcome measure in patients participating in outpatient cardiac rehabilitation: a preliminary study.
        Physiother Can. 2012; 64: 53-62
        • Hubbard R.E.
        • Lang I.A.
        • Llewellyn D.J.
        • Rockwood K.
        Frailty, body mass index, and abdominal obesity in older people.
        J Gerontol A Biomed Sci Med Sci. 2010; 65A: 377-381
        • Falsarella G.R.
        • Gasparotto L.P.R.
        • Barcelos C.C.
        • et al.
        Body composition as a frailty marker for the elderly community.
        Clin Interv Aging. 2015; 10: 1661-1667
        • Bohannon R.W.
        Muscle strength: clinical and prognostic value of hand-grip dynamometry.
        Curr Opin Clin Nutr Metab Care. 2015; 18: 465-470
        • Saum K.U.
        • Müller H.
        • Stegmaier C.
        • Hauer K.
        • Raum E.
        • Brenner H.
        Development and evaluation of a modification of the Fried frailty criteria using population-independent cutpoints.
        J Am Geriatr Soc. 2012; 60: 2110-2115
        • Rockwood K.
        • Mitnitski A.
        Frailty in relation to the accumulation of deficits.
        J Gerontol A. 2007; 62: 722-727