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      Validation of a frailty index in older cancer patients with solid tumours

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          Abstract

          Background

          Frailty is an indicator of physiological reserve in older people. In non-cancer settings, frailty indices are reliable predictors of adverse health outcomes. The aims of this study were to 1) derive and validate a frailty index (FI) from comprehensive geriatric assessment (CGA) data obtained in the solid tumour chemotherapy setting, and 2) to explore whether the FI-CGA could predict chemotherapy decisions and survival in older cancer patients with solid tumours.

          Methods

          Prospective cohort study of a consecutive series sample of 175 cancer patients aged 65 and older with solid tumours. A frailty index was calculated using an accumulated deficits model, coding items from the comprehensive geriatric assessment tool administered prior to chemotherapy decision-making. The domains of physical and cognitive functioning, nutrition, mood, basic and instrumental activities of daily living, and comorbidities were incorporated as deficits into the model.

          Results

          The FI-CGA had a right-skewed distribution, with median (interquartile range) of 0.27 (0.21–0.39). The 99% limit to deficit accumulation was below the theoretical maximum of 1.0, at 0.75. The FI-CGA was significantly related ( p < 0.001) to vulnerability as assessed by the Vulnerable Elders Survey-13 and to medical oncologists’ assessments of fitness or vulnerability to treatment. Baseline frailty as determined by the FI-CGA was also associated with treatment decisions (Treatment Terminated, Treatment Completed, No Planned Treatment) ( p < 0.001), with the No Planned Treatment group significantly frailer than the other two groups.

          Conclusion

          The FI-CGA is a potentially useful adjunct to cancer clinical decision-making that could predict chemotherapy outcomes in older patients with solid tumours.

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          Most cited references13

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          The Vulnerable Elders Survey: a tool for identifying vulnerable older people in the community.

          To develop a simple method for identifying community-dwelling vulnerable older people, defined as persons age 65 and older at increased risk of death or functional decline. To assess whether self-reported diagnoses and conditions add predictive ability to a function-based survey. Analysis of longitudinal survey data. A nationally representative community-based survey. Six thousand two hundred five Medicare beneficiaries age 65 and older. Bivariate and multivariate analyses of the Medicare Current Beneficiary Survey; development and comparison of scoring systems that use age, function, and self-reported diagnoses to predict future death and functional decline. A multivariate model using function, self-rated health, and age to predict death or functional decline was only slightly improved when self-reported diagnoses and conditions were included as predictors and was significantly better than a model using age plus self-reported diagnoses alone. These analyses provide the basis for a 13-item function-based scoring system that considers age, self-rated health, limitation in physical function, and functional disabilities. A score of >or=3 targeted 32% of this nationally representative sample as vulnerable. This targeted group had 4.2 times the risk of death or functional decline over a 2-year period compared with those with scores <3. The receiver operating characteristics curve had an area of.78. An alternative scoring system that included self-reported diagnoses did not substantially improve predictive ability when compared with a function-based scoring system. A function-based targeting system effectively and efficiently identifies older people at risk of functional decline and death. Self-reported diagnoses and conditions, when added to the system, do not enhance predictive ability. The function-based targeting system relies on self-report and is easily transported across care settings.
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            Frailty status at admission to hospital predicts multiple adverse outcomes.

            frailty is proposed as a summative measure of health status and marker of individual vulnerability. We aimed to investigate the discriminative capacity of a frailty index (FI) derived from interRAI Comprehensive Geriatric Assessment for Acute Care (AC) in relation to multiple adverse inpatient outcomes.
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              Frailty screening methods for predicting outcome of a comprehensive geriatric assessment in elderly patients with cancer: a systematic review.

              Comprehensive geriatric assessment (CGA) is done to detect vulnerability in elderly patients with cancer so that treatment can be adjusted accordingly; however, this process is time-consuming and pre-screening is often used to identify fit patients who are able to receive standard treatment versus those in whom a full CGA should be done. We aimed to assess which of the frailty screening methods available show the best sensitivity and specificity for predicting the presence of impairments on CGA in elderly patients with cancer. We did a systematic search of Medline and Embase, and a hand-search of conference abstracts, for studies on the association between frailty screening outcome and results of CGA in elderly patients with cancer. Our search identified 4440 reports, of which 22 publications from 14 studies, were included in this Review. Seven different frailty screening methods were assessed. The median sensitivity and specificity of each screening method for predicting frailty on CGA were as follows: Vulnerable Elders Survey-13 (VES-13), 68% and 78%; Geriatric 8 (G8), 87% and 61%; Triage Risk Screening Tool (TRST 1+; patient considered frail if one or more impairments present), 92% and 47%, Groningen Frailty Index (GFI) 57% and 86%, Fried frailty criteria 31% and 91%, Barber 59% and 79%, and abbreviated CGA (aCGA) 51% and 97%. However, even in case of the highest sensitivity, the negative predictive value was only roughly 60%. G8 and TRST 1+ had the highest sensitivity for frailty, but both had poor specificity and negative predictive value. These findings suggest that, for now, it might be beneficial for all elderly patients with cancer to receive a complete geriatric assessment, since available frailty screening methods have insufficient discriminative power to select patients for further assessment. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                64 9 923 2897 , alexandra.mccarthy@auckland.ac.nz
                n.peel@uq.edu.au
                kerri.gillespie@griffithuni.edu.au
                Robyn.Berry@health.qld.gov.au
                Euan.Walpole@health.qld.gov.au
                p.yates@qut.edu.au
                r.hubbard1@uq.edu.au
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                14 September 2018
                14 September 2018
                2018
                : 18
                : 892
                Affiliations
                [1 ]ISNI 0000 0004 0372 3343, GRID grid.9654.e, School of Nursing, , University of Auckland, ; Private Bag 92019, Auckland Mail Centre, Auckland, 1142 New Zealand
                [2 ]ISNI 0000000089150953, GRID grid.1024.7, School of Nursing, , Queensland University of Technology, ; Victoria Park Rd, Kelvin Grove, QLD 4059 Australia
                [3 ]ISNI 0000 0004 0380 2017, GRID grid.412744.0, Cancer Services, Princess Alexandra Hospital, ; 199 Ipswich Rd, Woolloongabba, QLD 4102 Australia
                [4 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Centre for Research in Geriatric Medicine, , University of Queensland, ; Level 2, Building 33, Princess Alexandra Hospital, 199 Ipswich Rd, Woolloongabba, QLD 4102 Australia
                Author information
                http://orcid.org/0000-0002-8979-2926
                Article
                4807
                10.1186/s12885-018-4807-6
                6137752
                30217171
                233f2f9c-a8e7-46f1-91c0-ceaaf2fc30b7
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 January 2018
                : 7 September 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100009844, PA Research Foundation;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Oncology & Radiotherapy
                geriatric oncology,frailty,comprehensive geriatric assessment,chemotherapy

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