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      Comparative analysis of the association between 35 frailty scores and cardiovascular events, cancer, and total mortality in an elderly general population in England: An observational study

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          Abstract

          Background

          Frail elderly people experience elevated mortality. However, no consensus exists on the definition of frailty, and many frailty scores have been developed. The main aim of this study was to compare the association between 35 frailty scores and incident cardiovascular disease (CVD), incident cancer, and all-cause mortality. Also, we aimed to assess whether frailty scores added predictive value to basic and adjusted models for these outcomes.

          Methods and findings

          Through a structured literature search, we identified 35 frailty scores that could be calculated at wave 2 of the English Longitudinal Study of Ageing (ELSA), an observational cohort study. We analysed data from 5,294 participants, 44.9% men, aged 60 years and over. We studied the association between each of the scores and the incidence of CVD, cancer, and all-cause mortality during a 7-year follow-up using Cox proportional hazard models at progressive levels of adjustment. We also examined the added predictive performance of each score on top of basic models using Harrell’s C statistic. Using age of the participant as a timescale, in sex-adjusted models, hazard ratios (HRs) (95% confidence intervals) for all-cause mortality ranged from 2.4 (95% CI: 1.7–3.3) to 26.2 (95% CI: 15.4–44.5). In further adjusted models including smoking status and alcohol consumption, HR ranged from 2.3 (95% CI: 1.6–3.1) to 20.2 (95% CI: 11.8–34.5). In fully adjusted models including lifestyle and comorbidity, HR ranged from 0.9 (95% CI: 0.5–1.7) to 8.4 (95% CI: 4.9–14.4). HRs for CVD and cancer incidence in sex-adjusted models ranged from 1.2 (95% CI: 0.5–3.2) to 16.5 (95% CI: 7.8–35.0) and from 0.7 (95% CI: 0.4–1.2) to 2.4 (95% CI: 1.0–5.7), respectively. In sex- and age-adjusted models, all frailty scores showed significant added predictive performance for all-cause mortality, increasing the C statistic by up to 3%. None of the scores significantly improved basic prediction models for CVD or cancer. A source of bias could be the differences in mortality follow-up time compared to CVD/cancer, because the existence of informative censoring cannot be excluded.

          Conclusion

          There is high variability in the strength of the association between frailty scores and 7-year all-cause mortality, incident CVD, and cancer. With regard to all-cause mortality, some scores give a modest improvement to the predictive ability. Our results show that certain scores clearly outperform others with regard to three important health outcomes in later life. Finally, we think that despite their limitations, the use of frailty scores to identify the elderly population at risk is still a useful measure, and the choice of a frailty score should balance feasibility with performance.

          Abstract

          Using data from the English Longitudinal Study of Ageing, Gloria Aguayo and colleagues compare the association between 35 frailty scores and cardiovascular events, cancer, and total mortality.

          Author summary

          Why was this study done?
          • Frailty has been associated with poor outcomes in the elderly, and the need for valid instruments for its assessment is generally recognised.

          • Many frailty scores have been developed based on different theoretical concepts; however, none of them can be considered the gold standard.

          • The predictive capacity of frailty scores has mainly been studied for mortality, and evidence on their ability to predict other important outcomes in the elderly population, such as cardiovascular or cancer events, is limited (cardiovascular) or nonexistent (cancer) at the present time.

          What did the researchers do and find?
          • We performed secondary analyses of the most comprehensive list of frailty scores in 5,294 participants of the English Longitudinal Study of Ageing, and we demonstrated that all frailty scores were associated with future mortality and that some of them were also associated with later cardiovascular events. However, no relationship with cancer was observed.

          • In addition, the results of this study showed that multidimensional frailty scores may have a stronger and more stable association with mortality and incidence of cardiovascular events.

          • Beside the results evidenced that despite significant associations of frailty scores with mortality, the added discriminative ability of frailty scores to chronological age may be limited.

          What do these findings mean?
          • The comparative evaluation of the strength of associations between different frailty scores and major health outcomes in older adults provides a solid evidence base for researchers, clinicians, and health professionals working with elderly populations to choose the most appropriate instrument for their needs.

          • Furthermore, the findings highlight the vast heterogeneity in composition and performance of existing frailty scores.

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          Most cited references67

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            Frailty in Older Adults: Evidence for a Phenotype

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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: SupervisionRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                27 March 2018
                March 2018
                : 15
                : 3
                : e1002543
                Affiliations
                [1 ] Population Health Department, Luxembourg Institute of Health, Strassen, Luxembourg
                [2 ] Competence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg
                [3 ] Department of Public Health, University of Liège, Liège, Belgium
                [4 ] Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Canada
                [5 ] Section of Geriatrics, Department of Internal Medicine, VU University Medical Center, Amsterdam, the Netherlands
                [6 ] Department of Public Health, Aarhus University, Aarhus, Denmark
                [7 ] Danish Diabetes Academy, Odense, Denmark
                University of Oxford, UNITED KINGDOM
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-5625-1664
                http://orcid.org/0000-0002-8478-8055
                http://orcid.org/0000-0002-6601-5630
                Article
                PMEDICINE-D-17-03490
                10.1371/journal.pmed.1002543
                5870943
                29584726
                4c3e9530-c670-4cee-b562-2adc19401db0
                © 2018 Aguayo et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 October 2017
                : 21 February 2018
                Page count
                Figures: 3, Tables: 4, Pages: 26
                Funding
                Funded by: Ministry of Higher Education and Research, Luxembourg
                Award Recipient :
                This study was funded by the Ministry of Higher Education and Research, Luxembourg, through an internal project from the Luxembourg Institute of Health (funding GAA). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Geriatrics
                Frailty
                Medicine and Health Sciences
                Geriatrics
                Medicine and Health Sciences
                Geriatrics
                Geriatric Rehabilitation
                Medicine and Health Sciences
                Rehabilitation Medicine
                Geriatric Rehabilitation
                Medicine and Health Sciences
                Public and Occupational Health
                Physical Activity
                Medicine and Health Sciences
                Cardiovascular Medicine
                Cardiovascular Diseases
                People and Places
                Population Groupings
                Age Groups
                Elderly
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Geriatric Depression
                Medicine and Health Sciences
                Geriatrics
                Geriatric Psychiatry
                Geriatric Depression
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Geriatric Psychiatry
                Geriatric Depression
                Biology and Life Sciences
                Developmental Biology
                Organism Development
                Aging
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Aging
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Aging
                Custom metadata
                Data of the English Longitudinal Study of Ageing are freely available at the UK Data Service data catalogue website after applying for a share data project at https://discover.ukdataservice.ac.uk/catalogue/?sn=5050.

                Medicine
                Medicine

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