Elsevier

Archives of Gerontology and Geriatrics

Volume 66, September–October 2016, Pages 66-72
Archives of Gerontology and Geriatrics

Protocol paper
Prediction of one-year mortality by five different frailty instruments: A comparative study in hospitalized geriatric patients

https://doi.org/10.1016/j.archger.2016.05.004Get rights and content

Highlights

  • A prospective analysis in a cohort of hospitalized geriatric patients.

  • We compared the ability of five frailty scales in predicting one-year mortality.

  • All five frailty scales predicted one-year mortality.

  • The Clinical Frailty Scale was the most powerful predictor for mortality.

  • Using these frailty scales might improve decision making in geriatric inpatients.

Abstract

Background

Data comparing the ability of different major frailty instruments for predicting mortality in hospitalized geriatric patients are scare.

Material and methods

307 patients ≥65 years who were hospitalized on geriatric wards were included in this prospective analysis. A fifty-item frailty index (FI), a ten-domain + co-morbidity frailty index based on a standardized comprehensive geriatric assessment (FI-CGA), the nine category Clinical Frailty Scale (CFS-9), the CSHA rules-based frailty definition (CSHA-RBFD), and the frailty phenotype (FP) were assessed during the patients’ hospital stays. Patients were followed up over a one-year period.

Results

Follow-up data after one year could be obtained from 305 out of the 307 participants. Sixty two participants (20.3%) had died after that time. The FI, FI-CGA, CFS-9, CSHA-RBFD, and FP could all discriminate between patients who died and those who survived during follow-up (areas under the ROC curves: 0.805, 0.808, 0.852, 0.703 and 0.757, all P < 0.001, respectively). The CFS-9 showed a better discriminative ability for one-year mortality compared to the FI, FI-CGA, CSHA-RBFD, and FP (all P < 0.05, respectively). The FI and the FI-CGA did not differ in their discriminative ability for one-year mortality (P = 0.440). The CSHA-RBFD and the FP demonstrated a comparable discriminative ability (P = 0.241) and, when compared to the CFS-9, FI, and FI-CGA, an inferior discriminative ability for one-year mortality (all P < 0.05, respectively).

Conclusion

Among those frailty instruments that were evaluated, the CFS-9 emerged as the most powerful for prediction of one-year mortality.

Introduction

Frailty denotes a condition of increased vulnerability to stressors due to a reduction in physiological reserves of multiple organ systems (Morley et al., 2013). Frail old people show an increased incidence of negative health outcomes, including mortality, compared to non-frail ones (Morley et al., 2013). Several approaches for measuring frailty have been developed and evaluated, which are mainly based on the work of Rockwood and colleagues, as well as Fried and colleagues (Bouillon et al., 2013, Morley et al., 2013). Rockwood and colleagues utilized the classic frailty index based on multiple, individual health deficits (Mitnitski, Mogilner, & Rockwood, 2001; Rockwood & Mitnitski, 2012; Rockwood, Rockwood, & Mitnitski, 2010; Searle, Mitnitski, Gahbauer, Gill, & Rockwood, 2008), the frailty index based on severity of impairment of different functional domains of a standardized comprehensive geriatric assessment, and co-morbidity burden (Jones, Song, & Rockwood, 2004; Jones, Song, Mitnitski, & Rockwood, 2005), the Clinical Frailty Scale (Rockwood et al., 2005), and the Canadian Study of Health and Aging (CSHA) rules-based frailty definition (Rockwood et al., 1999). Fried and colleagues developed and evaluated the frailty phenotype (Fried et al., 2001).

These frailty instruments reflect different concepts. Rockwood and colleagues’ classical frailty index is based on multiple (30 or more) individual potential health deficits, i.e., items (Searle et al., 2008). It represents an arithmetical approach which is independent of pre-set items (Searle et al., 2008) and can be constructed from different data sets, for example, from data of a CGA (Rockwood and Mitnitski, 2012, Searle et al., 2008). Another approach, developed and evaluated by Rockwood and colleagues, is to assess, in a standardized fashion, the level of impairment in the functional domains of a standardized, comprehensive geriatric assessment, together with the co-morbidity burden of the patients (Jones et al., 2004, Jones et al., 2005). The Clinical Frailty Scale (Rockwood et al., 2005) takes physical activity, functional impairment, comorbidity (including dementia severity), and the patient’s remaining life expectancy into account. The CSHA rules-based frailty definition (Rockwood et al., 1999) is a measure based on functional criteria and the cognitive status of the patients. In contrast, the frailty phenotype (Fried et al., 2001) is based on five physical phenotypic criteria.

In geriatric medicine, estimation of the patient’s remaining life expectancy is of relevance to clinical decision making. Patients on geriatric wards often show multiple co-morbidities and functional impairment. In these patients decisions with respect to diagnosis, treatment and intervention are frequently undertaken in absence of strong evidence base (American Geriatrics Society, 2012; Tinetti, Bogardus, & Agostini, 2004). This might result in inappropriate management in some old patients (American Geriatrics Society, 2012). Some patients might be subject to overtreatment or adverse effects of interventions that causes distress at the end of their lives. Other patients, who would potentially benefit from intervention, might, however, not undergo such interventions solely on the ground of their advanced chronological age alone. Thus, in older patients, analysis with respect to frailty and frailty degree, which is an indicator of biological age (Mitnitski et al., 2001), is, amongst other aspects, of interest in terms of estimation of the individual patient’s remaining life expectancy.

Clearly, all aforementioned, major frailty instruments have been found to predict mortality (Fried et al., 2001; Jones et al., 2005; Mitnitski et al., 2001; Rockwood et al., 1999, Rockwood et al., 2005, Rockwood et al., 2010; Wallis, Wall, Biram, & Romero-Ortuno, 2015). However, the predictive power of these frailty instruments may differ. Of note, data comparing the ability of different frailty instruments to predict mortality in hospitalized geriatric patients are scarce (Pilotto et al., 2011, Ritt, Radi et al., 2015, Ritt, Schwarz et al., 2015). In particular, no study, up until now, has compared the ability of all the aforementioned different major frailty instruments, which are based on the work of Rockwood and colleagues, as well as Fried and colleagues, together and in parallel to predict mortality in a cohort of hospitalized geriatric patients. Against this background, our study aim was to analyze and compare the ability of five different major frailty instruments (i.e., a fifty-item frailty index, ten-domain + co-morbidity frailty index based on a comprehensive geriatric assessment (FI-CGA), the Clinical Frailty Scale, the CSHA rules based frailty definition and the frailty phenotype), which reflect aforementioned different concepts, together and in parallel, to predict one-year mortality in old patients who were hospitalized on geriatric wards.

Section snippets

Study design and study population

This study was a prospective cohort study of hospitalized patients who were admitted to the geriatric wards of the Geriatrics Centre, Erlangen, of the Hospital of the Congregation of St. Francis Sisters of Vierzehnheiligen, Erlangen, Germany. The inclusion criterion was being aged 65 years or older. Exclusion criteria were the inability to give written informed consent or non-availability of a legal guardian to give written informed consent for the study participant. The objective of the study

Characteristics of the study cohort

Three hundred and seven patients (two hundred and eight female, and ninety-nine male patients) treated on geriatric wards were included in the study. Follow-up data at one-year follow-up could not be obtained from two patients (one female and one male patient). Age, percent females, Mass-Index, Barthel-Index score, percent of patients with TUG > 19 s or being unable to perform the TUG, percent of patients being institutionalized of the patients from whom follow-up data could be obtained and from

Discussion

The one-year mortality rate of the hospitalized geriatric patients included in the present study of 20.3% is in line with data from other studies of hospitalized patients from geriatric units. For example, Pilotto et al. (2011) reported a one-year mortality rate of 24.9% in a cohort of 2033 hospitalized patients from twenty geriatrics units in Italy.

In our hands, among those frailty instruments evaluated in the current study, the Clinical Frailty Scale proved to be superior for predicting

Conclusion

The Clinical Frailty Scale, which, in contrast to the other frailty instruments that were evaluated in this study, takes, among other aspects, also physicians judgement in term of the patient’s remaining life expectancy into account, showed a superior ability to predict one-year mortality when compared to the fifty-item frailty index, the ten-domains + comorbidity FI-CGA, CSHA rules-based frailty definition, and the frailty phenotype in our cohort of older hospitalized patients on geriatric

Conflicts of interest

None.

Funding and role of the funding source

This work was supported by a grant from the Robert Bosch Foundation to MR. The Robert Bosch Foundation had no involvement in study design; in the collection, analysis and interpretation of data; in the writing of the report; an in the decision to submit the article for publication.

References (38)

  • K. Bouillon et al.

    Measures of frailty in population-based studies: an overview

    BMC Geriatrics

    (2013)
  • C. Chen et al.

    The synergistic effect of functional status and comorbidity burden on mortality: a 16-year survivial analysis

    PLoS One

    (2014)
  • Y. Cornwell et al.

    Validation of a measure of physical illness burden at autopsy: the cumulative illness rating scale

    Journal of the American Geriatrics Society

    (1993)
  • K.E. Ensrud et al.

    Comparison of 2 frailty indexes for prediction of falls, disability, fractures, and death in older women

    Archives of Internal Medicine

    (2008)
  • L.P. Fried et al.

    Frailty in older adults: evidence for a phenotype

    Journals of Gerontology Series A: Biological Sciences and Medical Sciences

    (2001)
  • J.A. Hanley et al.

    A method of comparing the areas under receiver operating characteristic curves derived from the same cases

    Radiology

    (1983)
  • Z. Hyde et al.

    Low free testosterone predicts frailty in older men: the health in men study

    Journal of Clinical Endocrinology and Metabolism

    (2010)
  • D.M. Jones et al.

    Operationalizing a frailty index from a stadardized comprehensive geriatric assessment

    Journal of the American Geriatrics Society

    (2004)
  • D. Jones et al.

    Evaluation of a frailty index based on a comprehensive geriatric assessment in a population based study of elderly Canadians

    Aging Clinical and Experimental Research

    (2005)
  • Cited by (37)

    • A Prospective Comparison of Frailty Scores and Fall Prediction in Acutely Injured Older Adults

      2021, Journal of Surgical Research
      Citation Excerpt :

      In this frailty assessment system, scoring is determined by clinical opinion following patient assessment. A patient with a score of 5 or greater is considered frail.9,21 Frailty scoring systems must additionally consider the rapidity with which they can be performed to assess a patient.

    • Frailty as a predictor of adverse outcomes in hospitalized older adults: A systematic review and meta-analysis

      2019, Ageing Research Reviews
      Citation Excerpt :

      Three cohorts were evaluated for the occurrence of falls (Gordon et al., 2018; Gregorevic et al., 2018; Hubbard et al., 2015, 2017; Joosten et al., 2014; Ritt et al., 2016a, 2016b; Ritt et al., 2017, 2015). Evaluation of this outcome was performed during hospitalization (n = 2) (Gordon et al., 2018; Gregorevic et al., 2018; Hubbard et al., 2015, 2017; Joosten et al., 2014) and in the medium-term (6 months) (n = 1) (Ritt et al., 2016a, 2015). The rate of falls during hospitalization ranged from 5.9% (Hubbard et al., 2017) to 8.0% (Joosten et al., 2014) and the results of predicting falls varied among these cohorts (Gordon et al., 2018; Gregorevic et al., 2018; Hubbard et al., 2015, 2017; Joosten et al., 2014).

    • Comparison of bedside screening methods for frailty assessment in older adult trauma patients in the emergency department

      2019, American Journal of Emergency Medicine
      Citation Excerpt :

      A subset of older adults develop the syndrome of physical frailty, which is characterized by weakness, easy fatigability, and weight loss [2]. Evaluation for physical frailty typically involves measures of functional parameters (e.g. gait speed, muscle strength), but tools that do not require activity are useful in trauma patients who often have injuries that preclude participation in testing [2-4]. In addition to overlapping symptoms and signs such as weakness and weight loss, the condition of sarcopenia (loss of muscle mass) is associated with physical frailty [5,6].

    View all citing articles on Scopus
    View full text