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Open Access

Peer-reviewed

Research Article

Instruments for the detection of frailty syndrome in older adults: A systematic review

  • Jossiana Wilke Faller ,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing

    jofaller@hotmail.com

    Affiliation Department of Maternal and Child Health and Public Health, University of São Paulo, PAHO/WHO Collaborating Center for Nursing Research Development, Ribeirão Preto School of Nursing, Ribeirão Preto, Brazil

    ⨯
  • David do Nascimento Pereira,

    Roles Investigation, Writing – review & editing

    Affiliation Program in Health Promotion and Care in Hospital Care of the Medical School of the University of São Paulo, São Paulo, Brazil

    ⨯
  • Suzana de Souza,

    Roles Investigation, Writing – review & editing

    Affiliation Latin-American Institute of Life and Natural Sciences, Federal University of Latin-American Integration, Foz do Iguassu, Paraná, Brazil

    ⨯
  • Fernando Kenji Nampo,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Latin-American Institute of Life and Natural Sciences, Federal University of Latin-American Integration, Foz do Iguassu, Paraná, Brazil

    ⨯
  • Fabiana de Souza Orlandi,

    Roles Writing – original draft, Writing – review & editing

    Affiliation Department of Gerontology of the Federal University of São Carlos, São Carlos, São Paulo, Brazil

    ⨯
  • Silvia Matumoto

    Roles Conceptualization, Formal analysis, Methodology, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Department of Maternal and Child Health and Public Health, University of São Paulo, PAHO/WHO Collaborating Center for Nursing Research Development, Ribeirão Preto School of Nursing, Ribeirão Preto, Brazil

    ⨯

Abstract

Frailty is a dynamic process in which there is a reduction in the physical, psychological and/or social function associated with aging. The aim of this study was to identify instruments for the detection of frailty in older adults, characterizing their components, application scenarios, ability to identify pre-frailty and clinimetric properties evaluated. The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), under registration number CRD42017039318. A total of 14 electronic sources were searched to identify studies that investigated instruments for the detection of frailty or that presented the construction and/or clinimetric evaluation of the instrument, according to criteria established by the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). 96 studies were included in the qualitative synthesis: 51 instruments for the detection of frailty were identified, with predominantly physical domains; 40 were constructed and/or validated for use in the older adult community population, 28 only highlighted the distinction between frail and non-frail individuals and 23 presented three or more levels of frailty. The FRAGIRE, FRAIL Scale, Edmonton Frail Scale and IVCF-20 instruments were the most frequently analyzed in relation to clinimetric properties. It was concluded that: (I) there is a large number of instruments for measuring the same construct, which makes it difficult for researchers and clinicians to choose the most appropriate; (II) the FRAGIRE and CFAI stand out due to their multidimensional aspects, including an environmental assessment; however, (III) the need for standardization of the scales was identified, since the use of different instruments in clinical trials may prevent the comparability of the results in systematic reviews and; (IV) considering the different instruments identified in this review, the choice of researchers/clinicians should be guided by the issues related to the translation and validation for their location and the suitability for their context.

Citation: Faller JW, Pereira DdN, de Souza S, Nampo FK, Orlandi FdS, Matumoto S (2019) Instruments for the detection of frailty syndrome in older adults: A systematic review. PLoS ONE 14(4): e0216166. https://doi.org/10.1371/journal.pone.0216166

Editor: Antony Bayer, Cardiff University, UNITED KINGDOM

Received: January 10, 2019; Accepted: April 15, 2019; Published: April 29, 2019

Copyright: © 2019 Faller 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.

Data Availability: All relevant data are within the manuscript and its Supporting Information files.

Funding: The authors thank the Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES). JWF received support and funding from ITAIPU Binacional and the Araucária Foundation (FA), in addition to the PROEX grant: Aid N. 0524/2018, Case N. 23038.003643 / 2018-11. The funders had no additional role in the design of the study, data collection and analysis, decision to publish or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Frailty is a dynamic process in which there is a reduction in the physical, psychological and/or social functions, associated with aging and detrimental to the health. This condition represents a potential public health problem due to the multiple clinical and social consequences and its dynamic nature [1]. Identifying frail older adults or those at risk of frailty should be one of the foundations of geriatric care, since it is a complex and important issue associated with aging, with implications for both the patients and the use of the health services [2]. Adequate recognition of frailty may reduce risks from possibly detrimental interventions, with it being unacceptable to consider patients only on the basis of chronological age [3]. The dynamic nature of frailty highlights a potential for preventive and restorative interventions [2], so that when detected early, it is possible to preserve the functional and cognitive reserves, to maintain the capacity for self-care and to prevent disabilities, falls, functional decline, institutionalization, hospitalization and death.

Approximately 10% of people over 65 and 25% to 50% of those over 85 are frail, according to the criteria established by Fried [4]. In the countries of Latin America and the Caribbean (LAC), with a high prevalence of chronic and incapacitating diseases, one in five older adults are considered frail [5]. However, according to the definition of frailty, the criteria for inclusion or exclusion of the population in the studies and the diagnostic parameters used in the clinical practice and in epidemiological studies, the reported prevalence rates of frailty vary substantially from 4.0% to 59.1%. This variation was identified in 21 studies, with a mean prevalence of 10.7% (95% CI: 10.5–10.9%), with the highest frequencies observed in studies that used multidimensional instruments to evaluate this construct [6].

There are a growing number of instruments that aim to evaluate frailty; however, researcher must be attentive to the choice of the most appropriate and precise in order to guarantee the quality of their results. The data must be accurate, valid and interpretable for the health assessment of the population, as well as providing scientifically sound results. The performance of the results of these measures depends to a large extent on the reliability and validity of the instruments [7]. Thus, the selection of a measuring instrument with inadequate clinimetric properties may cause bias in the conclusions of the studies, wasting resources, increasing costs and risking the participants and/or population [8].

Before starting this study, the literature was searched for systematic reviews addressing frailty in older adults. The reviews on validation of frailty evaluation instruments [2, 9–15] focused on identifying the clinical definition of frailty and the instruments for its evaluation [10]; the accuracy of the diagnostic tests [13]; the score system of the instruments in relation to values predictive of frailty [12]; instruments and their clinimetric properties [2, 9, 14]; frailty screening instruments specifically for use in primary healthcare [11]; and the systematic categorization of the instruments and contexts of use [15]. Although three reviews addressed validation aspects [2, 9, 14], only two [2, 9] substantially explored the validity aspects of the instruments.

Given the vast expansion in the literature on frailty, the increase in the world’s older adult population, the prevalence of frailty in this population and the adverse events due to this syndrome, identifying instruments consistent with the multifactorial and complex nature of the syndrome remains a priority for use in both clinical trials as well as the clinical practice. Thus, this study aimed to identify instruments for the detection of frailty syndrome in older adults, characterizing them according to their components, application scenarios and ability to identify pre-frailty, as well as to present the clinimetric properties evaluated: validity, reliability, sensitivity, specificity, positive predictive value and negative predictive value.

Methods

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA) [16]. The steps followed in preparing this review were: 1. Elaboration of the research question; 2. Elaboration of the protocol and registration in the International prospective register of systematic reviews (PROSPERO), under number CRD42017039318; 3. Execution of the searches in the databases; 4. Selection of studies according to the eligibility criteria; 5. Extraction of data from the primary studies and; 6. Synthesis of results [16, 17].

The electronic searches were performed on April 18, 2017 and updated on September 25, 2018. The electronic databases searched were the Medical Literature Analysis and Retrieval System Online (MEDLINE), EMBASE, Scopus, Ovid, ProQuest, Web of Science, Latin American and Caribbean Health Sciences Literature (LILACS), Pan American Health Organization (PAHO), The Nursing Database (BDENF), MedCarib and WHOLIS, Cumulative Index to Nursing and Allied Health Literature (CINAHL), CAPES Theses and Dissertations Catalog, and Google Scholar published and unpublished studies. A methodical manual search was also performed, including articles, editorials, and the references of the included studies, aiming to complete the search and identify any relevant studies not indexed in the databases.

The complete search strategy used in MEDLINE and adapted to the other electronic sources is shown in Table 1. The references of the included studies were analyzed for additional references of interest. There was no restriction regarding the scenario, place, date or language of publication.

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Table 1. Search strategy used in MEDLINE and adapted to the other sources, according to selected descriptors.

https://doi.org/10.1371/journal.pone.0216166.t001

The following inclusion criteria were applied: participants aged 60 years or over; studies describing an instrument capable of assessing frailty, and the presentation of clinimetric or cultural validation/adaptation properties of the frailty measurement instrument. Technical reports, letter to the editor, review articles and summary/annals of events were excluded. Two independent reviewers independently screened and selected the studies. Cases of disagreement were resolved by consensus. The data extraction was carried out by two independent reviewers using a pre-prepared form designed by the authors; disagreements were resolved by a third researcher.

The taxonomy and definitions used for the clinimetric properties evaluated followed criteria established by the COnsensus-based Standards for Health Measurement INstruments (COSMIN) [8] and were:

  • Validity: refers to the extent to which an instrument measures the construct(s) for which it was constructed, including: content validity, construct validity, and criterion validity (concurrent validity, predictive validity).
  • Reliability: highlights elements related to coherence, accuracy, stability, equivalence and homogeneity, i.e. principles to reproduce a result consistently in time and space, or from the perspective of different observers.
  • Sensitivity: Probability of a positive test result if the subject tested presents the condition.
  • Specificity: probability of a negative test result if the subject tested does not present the condition.
  • Positive Predictive Value (PPV): defined as the proportion of true-positives among all individuals with positive test results.
  • Negative Predictive Value (NPV): defined as the proportion of true-negatives among all individuals with negative test results.
  • Cultural adaptation: adaptation of language and culture required when a scale or measure is used in a different country from that in which it was created and validated, to maintain the degree of performance of the items of the original version.

Results

The electronic searches returned a total of 5,604 records. After removing duplicates and including results of the handsearch (n = 14), 3,391 records remained, of which 3,180 were excluded based on title and abstract. The reading of the 211 remaining full-text publications led to the exclusion of 115 studies, since they included measures of constructs other than frailty (n = 66) or did not present information on the clinimetric evaluation of the instrument (n = 49). Accordingly, 96 studies met the pre-established criteria and were included in this review (Fig 1).

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Fig 1. Study flow diagram.

https://doi.org/10.1371/journal.pone.0216166.g001

Characteristics of the studies

A total of 51 frailty assessment instruments were analyzed in 96 studies published between 1997 and 2018. There were 82 studies published in English [18–99], 9 in Portuguese/BR [100–108], 3 in Japanese [109–111], 1 in Korean [112] and 1 in German [113]. The countries where the participants were most commonly sampled were the USA, with 14 studies [18, 21, 26, 49, 56, 61, 66, 70, 72, 77, 78, 86, 91, 95], Brazil, with 11 studies [64, 83, 92, 100–108], Canada, also with 11 studies [20, 22–24, 39, 54, 71, 80, 93, 94] and the Netherlands with 8 publications [28, 30, 32, 34, 36, 40, 55, 79, 96].

The instruments presented very heterogeneous characteristics, such as the number of items (3 to 92). Regarding the duration, some of the instruments were of rapid application (up to 10 minutes), while in some the evaluations are performed in more than one stage, which can last several hours. It should be noted that the majority of the publications did not report the application time [20, 22, 23, 29, 32, 36–38, 41–46, 49, 53, 55, 57–59, 63, 64, 66, 68, 69, 93, 97, 109–113].

Regarding the domains present in the frailty assessment instruments, 22 (11- point FI [77], 5-item mFI [95], Continuous Frailty Scale–CFS [91], electronic Frailty Index–eFI [58], Emergency General Surgeries Frailty Index–EGS-FI [61], FiND–Frail Non-Disabled [42], FRAIL Scale [53], Frailty Phenotype [70], Frailty Phenotype Modified [35], Frailty Screening Questionnaire (FSQ) [99], Frailty Trait Scale–FTS [44], Instrumento Multidimensional de Rastreio da Síndrome da Fragilidade–IMSIFI [101], INTER-FRAIL Study Questionnaire [43], LUCAS [113], Modelo Fried adaptado [106], Motor Performance Tests [64], PRISMA-7 [96], Self-Report Frailty Instrument [31], SHARE Frailty Instrument [74], SHARE Frailty Instrument 75+ [48], SOF Frailty Criteria [72], Trauma-Specific Frailty Index (TSFI) [78], UEF Frailty [56]) evaluated only physical aspects such as: slowness, weakness, inactivity, exhaustion, mobility, morbidities, activities of daily living (ADL), instrumental activities of daily living (IADL), functional capacity, signs and symptoms, laboratory exams, balance, gait, muscular strength, resistance, fatigue, physical activity, muscle mass index (MMI), sphincter control, weight loss, pain, falls, communication (vision, hearing), flexibility, hospitalization and use of medications.

A total of 9 instruments [18, 23, 27, 33, 45, 47, 73, 107, 112] assessed physical and psychological aspects (emotional aspects, such as mood alteration, motivation and reclusion), 1 [109] evaluated physical and social aspects (social support), 16 [19–21, 24, 25, 28–30, 39, 40, 49, 93, 94, 97, 98, 110] physical, psychological and social aspects, and 2, the Comprehensive Frailty Assessment Instrument (CFAI) [37, 38] and the Frailty GIR Evaluation (FRAGIRE) [68], used environmental indicators, as described by the authors, however, this aspect is also considered within the social domain and is defined by the social determinants of health, as indicated by the WHO [114], (housing conditions, comfort, stairs, distance to services and transport) in the frailty assessment component, as well as physical, psychological and social aspects (Table 2).

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Table 2. Description of the instruments identified in the review and their characteristics: Number of items, domains, application scenario, language, study site, type of measurement scale, pre-frailty verification and mortality prediction.

https://doi.org/10.1371/journal.pone.0216166.t002

Regarding the application scenario, of the 51 instruments identified [18–21, 23–25, 27–31, 33, 35, 37, 39, 40, 42–45, 47–49, 53, 56, 58, 61, 64, 68, 70, 72–74, 77, 78, 91, 93–99, 101, 106, 107, 109, 110, 112, 113], 38 [18, 19, 21, 24, 27, 29, 31, 35, 37, 40, 42–45, 47–49, 53, 58, 61, 64, 68, 70, 72–74, 91, 93, 96–99, 101, 106, 107, 109, 110, 113] were constructed and/or validated for use with the older adult population in the community context, 6 [25, 33, 77, 78, 91, 94, 95] were only validated for use in the clinical context, and 7 instruments [20, 23, 28, 30, 39, 56, 112] were validated for both contexts, including Long-Term Care Institutions for Older Adults (LTCIOA).

Ability to identify pre-frailty

A total of 23 instruments presented three to six levels of frailty [20, 23–25, 27, 31, 35, 44, 48, 53, 56, 58, 70, 72, 74, 91, 98, 99, 101, 106, 107, 112, 113]. These levels classified the older adult participants as follows: robust or not frail, pre-frail or apparently vulnerable, mild frailty, moderate frailty and severe frailty, using a numerical score.

Ability to predict mortality

Mortality is an adverse health outcome and is associated with frailty. In this review, 27 frailty evaluation instruments with the ability to predict mortality were identified [20, 23, 27, 29, 31, 32, 44, 45, 48, 54, 58, 59, 61, 70, 72–74, 77, 85, 91, 93–95, 97–99].

Clinimetric properties

The instruments with the highest number of clinimetric properties evaluated were the FRAIL Scale and the Edmonton Frail Scale–EFS, in which nine domains were evaluated, with the FRAIL Scale having been culturally adapted in seven countries. The FRAGIRE and IVCF-20 had eight domains evaluated. The GFI and TFI had seven items evaluated, with versions having already been developed in 49 countries, with their adaption to the languages and cultures. In contrast, the 11-point FI [77], 5-item mFI [95], Continuous Frailty Scale [91], Emergency General Surgeries Frailty Index [61], Frailty Phenotype Modified [35], Frailty Screening Questionnaire (FSQ) [99], Geriatric Functional Evaluation (GFE) [98], Klosha Frailty Index [45] and the LUCAS [113] had only one measure attribute evaluated. Table 3 provides an overview of the measurement properties of each frailty assessment instrument.

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Table 3. Frailty assessment instruments and their clinimetric properties.

https://doi.org/10.1371/journal.pone.0216166.t003

Discussion

In this review, 51 instruments that tested for frailty in older adults were presented. The domains that constituted these instruments were predominantly physical; however, elements of a psychological, social and environmental order were observed in the instruments developed more recently. Using broader approaches is one of the points of relevance in the context of frailty, since the exclusive focus on physical problems can lead to the fragmentation of care for older adults [28]. The association between frailty and social factors has been widely recognized, with social isolation also being significantly associated with mortality. Social relations play a central role in human well-being and are directly involved in maintaining health [115].

The different domains used for the construction of the instruments follow the concept of frailty adopted by each researcher, although the concept of frailty is currently consensual among researchers and the clinical aspect prevails [116]. However, the same does not apply to the evaluation criteria [117] and from this perspective, the investigation of the accuracy of the frailty measures for the prediction of adverse health events has gained space, while the validity and reliability of the frailty measures reveal a gap in the literature [118].

The CFAI instrument, developed based on data from the Belgian Study of Aging, and the FRAGIRE include the environmental component in the multidimensional assessment of frailty and exclude the disability and comorbidities items. The CFAI also allows the evaluation of frailty through postal and telephone interviews [37], unlike the FRAGIRE, which is administered by a trained interviewer.

Precariousness of the housing situation and conditions such as reduced space, lack of physical facilities and barriers to housing and services increase the risk of vulnerability to stressors and have been related to frailty [119, 120]. Many older adults remain in their own homes for as long as possible, due to the possibility of greater autonomy when compared to aging in nursing homes and the favorable psychosocial aspects of remaining in the same environment. However, older adults with higher incomes and better health opt for care in institutions [121]. Therefore, including environmental conditions in the assessment of frailty among older adults is advisable.

In the clinical setting, frailty assumes unquestionable importance, with the current challenge being to operationalize the concept and facilitate its recognition [116]. There are several scenarios in which the measurement of frailty can be performed using different instruments, such as in primary care [11], emergency units/departments, general hospitals, long-term care facilities and nursing homes. Despite being a progressive condition, frailty can be prevented and rehabilitated, and therefore, in terms of public health, instruments designed to identify frail older adults living in the community, as was the case for the majority in this review, allow early intervention and management of risk factors. This contributes to prioritize approaches with older adults with frailty already installed and opens a series of possibilities for individual or collective actions also among non-frail older adults [122].

In this context, the instruments that identify pre-frailty present positive aspects. When the syndrome and/or its risk factors are diagnosed early, the disability resulting from frailty can be better treated and the prognosis will be more positive, i.e., interventions are more effective when applied with older adults in the initial stage of frailty [123, 124]. Although frailty is a dynamic process, characterized by frequent transitions over time, the probability of transition to states of greater frailty is greater than the transitions to states of lower frailty, and the chance of transition from “very frail” to a robust status is extremely low, even over long periods [125].

Various ways of measuring this construct were found in the literature, identifying self-administered questionnaire, questionnaires or interviews, performance tests and combinations of these. The choice can be made according to the different scenarios (hospital, primary care, long term care), the aim of the measurement, the qualification (physician, general practitioner, nurse, caregiver) of the interviewer and the time available. Each instrument has advantages and disadvantages, so that, in the composition of the sample in relation to age and nationality, it is important to compare the results measured by these instruments with each other [9].

A predominance of instruments based on the Phenotypic Frailty Model and the Cumulative Deficit of the CSHA was observed. Three instruments adapted from the Phenotypic model, the Frailty Phenotype Modified [35], Modelo Fried adaptado [106] and CFS [91], were developed to overcome the limitations of the original instrument. One of these is the use of measured variables with dichotomous criteria. In addition, all the indicators of the scale are considered of equal importance in the measurement of frailty and effective in identifying the most frail older adults [126]. Also, the measurement of some components of the syndrome requires specialized equipment and/or training, which makes it difficult to use in primary care [106].

More important than the ideal instrument, the aspect that really should be considered is the common aim of the different actors involved, i.e. whether the focus is to carry out screening or evaluation, as these have different characteristics due to their different levels of complexity. Screening instruments are different to evaluation instruments, with it being possible to perform these procedures in two steps (first step: multidimensional screening, for all individuals and; second step: evaluation only for the frail) [127]. Screening instruments for application in PHC should be of short duration, if possible, administered by telephone and by different professionals (physician, general practitioner, nurse), in order to easily reach a large number of individuals and still be accurate concerning negative adverse results [128].

The Modelo Fried adaptado is a self-referenced instrument, which allows the expansion of screening for the syndrome, as well as serving as a “sentinel” in its early identification [106]. The CFS became a continuous scale, with high agreement with the original scale, and identified that gait speed and weight loss were the strongest and weakest indicators, respectively [91]. The gait speed is a rapid, inexpensive and easy to assess physical performance measure, integrating the health assessment and a well documented risk factor for adverse outcomes in older adults. Weight loss, verified in two visits at least one year apart, may be more susceptible to measurement errors than the other indicators, which may explain the fact that it is the weakest indicator of frailty.

All the instruments identified in this review demonstrate evidence supporting the robustness of these models; however, studies on the reliability or validity of the original versions of many of the instruments are still scarce. Measuring instruments must have certain characteristics which ensure the reliability of the data produced [129].

Guidelines that describe basic principles for instrument construction recommend the performance of at least reliability and validity tests [7]. In this review, the choice was made to list the dimensions explicitly cited by the authors, not allowing interpretations of data that could only suggest tests performed. Criterion validity, which integrates the predictive and concurrent validity [8], was considered when either was cited. For example, the Frailty Phenotype (70) provided predictive validity, when it evaluated the association, prospectively, with five important adverse health outcomes found in the 4 and 7 year prospective follow-up, using Cox proportional hazards models, with data of the Cardiovascular Health Study.

The FRAGIRE [68], FRAIL Scale [53], EFS [24] and IVCF-20 [107] instruments were the most frequently examined for clinimetric properties, which were not mentioned in the most recent systematic review of the literature [2]. Likewise, the TFI presents very solid statistical results, with it having been used in studies with large samples [11], also due to its clinimetric qualities evaluated [2]. Validated in six countries, it is multidimensional and can be applied in the community, in the hospital setting and in LTCIOA and does not include variables that are considered frailty outcomes, such as disability, falls and hospitalization. However, Vrotsou et al. [90] recommend additional studies in different social contexts, as the different social realities in Europe and the rest of the world do not seem to have been contemplated in designing and validating the scale and therefore its applicability at different stages of frailty should be reconsidered.

Accordingly, this review provides a broad overview of the instruments proposed for assessing frailty in older adults over the past 20 years, which are based on two main approaches: unidimensional, related to physical health, and multidimensional, which includes psychological, social and, more recently, environmental aspects. None of the 51 instruments analyzed were examined for reliability and validity in relation to all the domains. Furthermore, some instruments require validation in larger studies and, therefore, it is difficult to highlight which instrument, at present, is the best for the screening of frailty in older adults. It should be noted that clinical judgment is still the best tool available to evaluate the individual needs of a patient. In addition, special attention should be paid to common problems of advanced age, such as the reduction of economic resources, reduced mobility and loss of loved ones, which contribute to limiting social contact [115], with socially isolated individuals presenting an increased risk for the development of cardiovascular diseases [130] and cognitive decline [131].

Furthermore, it was noted that each instrument defined an interviewer (physician, nurse, team), a minimum age (60 years, 70 years, 75 years), a short or long application time and mobilized a scientific community in search of a definition for frailty and of a robust instrument capable of measuring it and screening for it.

The ability to perceive the mutability of frailty over time and the interaction of physical, psychological, social and environmental domains should be part of the ability of trained and conscientious professionals in the care for older adults as part of the comprehension of the dynamic and complex system of the aging process. Thus, investing in health teams so that they are able to recognize frailty in different areas raises other important lines as a basis for future studies. In addition, concerning the implications for new studies, the need for standardization of the scales is emphasized, since the use of different instruments in clinical trials may prevent the comparability of the results in systematic reviews. Due to different instruments and applicability scenarios, the possibility of comparing studies constitutes an important step.

Healthcare providers must consider that the process of identifying frailty should be based on a simple test, requiring little time and few resources, which can be interpreted by non-specialist professionals. Accordingly, they must, among the various instruments identified in this review, opt for the one that is translated and validated for their location and that shows itself to be the most adequate for their context.

Strengths and limitations

The strengths of this review include the comprehensive electronic search of 14 sources, with no limitations regarding language or date of publication, as well as the manual search in the references of the included studies. In addition, as far as is known, this review was the first to present a broad view of instruments that detect frailty, with information that includes the domains, population, setting, type of scale, outcome mortality and clinimetric properties. This contributes so that professionals and researchers can make a better choice of the instrument, specific to the scenario and the scope of each study.

In addition, this review avoided applying exclusion criteria, unlike previous studies that restricted: (I) the age, studying only individuals aged 65 years and over [10, 13], which limits the external validity of the studies, since in developing countries, according to the World Health Organization (WHO), older adults are those that are 60 years of age or more; (II) the scenario, evaluating only the non-hospitalized population [11, 13], restricting the external validity of the study; and (III) the language, favoring publication and selection bias [2, 10, 132].

One limitation found in this study was the confusion among the scales, because sometimes a specific instrument is named differently in different studies. In addition, the risk inherent in any systematic review of not having located all the relevant studies was recognized, despite the methodological rigor and care taken by the authors for this not to occur.

Acknowledgments

The authors thank the Coordination for the Improvement of Higher Education Personnel—Brazil (CAPES). JWF received support and funding from ITAIPU Binacional and the Araucária Foundation (FA), in addition to the PROEX grant: Aid N. 0524/2018, Case N. 23038.003643/2018-11. The funders had no additional role in the design of the study, data collection and analysis, decision to publish or preparation of the manuscript.

References

  1. 1. Buckinx F, Rolland Y, Reginster J-Y, Ricour C, Petermans J, Bruyère O. Burden of frailty in the elderly population: perspectives for a public health challenge. Archives of Public Health. 2015;73(1):19. pmid:25866625
  2. 2. Sutton JL, Gould RL, Daley S, Coulson MC, Ward EV, Butler AM, et al. Psychometric properties of multicomponent tools designed to assess frailty in older adults: A systematic review. BMC Geriatr. 2016;16:55. pmid:26927924; PubMed Central PMCID: PMCPMC4772336.
  3. 3. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. The Lancet. 2013;381(9868):752–62. pmid:23395245
  4. 4. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2001;56(3):M146–M57.
  5. 5. Mata FAFd, Pereira PPdS, Andrade KRCd, Figueiredo ACMG, Silva MT, Pereira MG. Prevalence of frailty in Latin America and the Caribbean: a systematic review and meta-analysis. PloS one. 2016;11(8):e0160019. pmid:27500953
  6. 6. Collard RM, Boter H, Schoevers RA, Voshaar RCO. Prevalence of frailty in community‐dwelling older persons: a systematic review. Journal of the American Geriatrics Society. 2012;60(8):1487–92. pmid:22881367
  7. 7. Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34–42. pmid:17161752.
  8. 8. Mokkink LB, Prinsen CA, Bouter LM, de Vet HC, Terwee CB. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) and how to select an outcome measurement instrument. Brazilian journal of physical therapy. 2016;20(2):105–13. pmid:26786084
  9. 9. de Vries NM, Staal JB, van Ravensberg CD, Hobbelen JS, Olde Rikkert MG, Nijhuis-van der Sanden MW. Outcome instruments to measure frailty: a systematic review. Ageing Res Rev. 2011;10(1):104–14. pmid:20850567.
  10. 10. Sternberg SA, Schwartz AW, Karunananthan S, Bergman H, Mark Clarfield A. The identification of frailty: a systematic literature review. Journal of the American Geriatrics Society. 2011;59(11):2129–38. pmid:22091630
  11. 11. Pialoux T, Goyard J, Lesourd B. Screening tools for frailty in primary health care: a systematic review. Geriatr Gerontol Int. 2012;12(2):189–97. pmid:22233158.
  12. 12. Pijpers E, Ferreira I, Stehouwer CD, Nieuwenhuijzen Kruseman AC. The frailty dilemma. Review of the predictive accuracy of major frailty scores. Eur J Intern Med. 2012;23(2):118–23. pmid:22284239.
  13. 13. Clegg A, Rogers L, Young J. Diagnostic test accuracy of simple instruments for identifying frailty in community-dwelling older people: a systematic review. Age Ageing. 2015;44(1):148–52. pmid:25355618.
  14. 14. Bouillon K, Kivimaki M, Hamer M, Sabia S, Fransson EI, Singh-Manoux A, et al. Measures of frailty in population-based studies: an overview. BMC geriatrics. 2013;13(1):64.
  15. 15. Buta BJ, Walston JD, Godino JG, Park M, Kalyani RR, Xue QL, et al. Frailty assessment instruments: Systematic characterization of the uses and contexts of highly-cited instruments. Ageing Res Rev. 2016;26:53–61. pmid:26674984; PubMed Central PMCID: PMCPMC4806795.
  16. 16. Moher D LA, Tetzlaff J, Altman DG,. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009;6(7):e1000097. pmid:19621072
  17. 17. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6(7):e1000100. pmid:19621070; PubMed Central PMCID: PMCPMC2707010.
  18. 18. Brody KK, Johnson RE, Ried LD. Evaluation of a self-report screening instrument to predict frailty outcomes in aging populations. Gerontologist. 1997;37(2):182–91. pmid:9127974. Language: English. Entry Date: 19980601. Revision Date: 20150711. Publication Type: Journal Article.
  19. 19. De Lepeleire J, Ylieff M, Stessens J, Buntinx F, Paquay L. The validity of the Frail instrument in general practice. Archives of Public Health. 2004;62(3–4):185–96.
  20. 20. Jones DM, Song X, Rockwood K. Operationalizing a frailty index from a standardized comprehensive geriatric assessment. Journal of the American Geriatrics Society. 2004;52(11):1929–33. Epub 2004/10/28. pmid:15507074.
  21. 21. Studenski S, Hayes RP, Leibowitz RQ, Bode R, Lavery L, Walston J, et al. Clinical global impression of change in physical frailty: development of a measure based on clinical judgement. Journal of the American Geriatrics Society. 2004;52(9):1560–6. pmid:15341562. Language: English. Entry Date: 20050712. Revision Date: 20150711. Publication Type: Journal Article.
  22. 22. Jones D, Song X, Mitnitski A, Rockwood K. 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;17(6):465–71. Epub 2006/02/21. pmid:16485864.
  23. 23. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. Canadian Medical Association Journal. 2005;173(5):489–95. Epub 2005/09/01. pmid:16129869; PubMed Central PMCID: PMCPMC1188185.
  24. 24. Rolfson DB, Majumdar SR, Tsuyuki RT, Tahir A, Rockwood K. Validity and reliability of the Edmonton Frail Scale. Age and Ageing. 2006;35(5):526–9. pmid:16757522
  25. 25. Hilmer SN, Perera V, Mitchell S, Murnion BP, Dent J, Bajorek B, et al. The assessment of frailty in older people in acute care. Australasian journal on ageing. 2009;28(4):182–8. Epub 2009/12/03. pmid:19951339.
  26. 26. Kiely DK, Cupples LA, Lipsitz LA. Validation and comparison of two frailty indexes: The MOBILIZE Boston study. Journal of the American Geriatrics Society. 2009;57(9):1532–9. pmid:19682112
  27. 27. Chan DC, Tsou HH, Chen CY, Chen CY. Validation of the Chinese-Canadian study of health and aging clinical frailty scale (CSHA-CFS) telephone version. Archives of Gerontology and Geriatrics. 2010;50(3):e74–e80. pmid:19608288
  28. 28. Gobbens R, van Assen M, Luijkx K, Wijnen-Sponselee R, Schols J. The construct validity of the Tilburg Frailty Indicator: Psychometric Properties. Journal of Clinical Nursing. 2010;19:147–. pmid:104888453. Language: English. Entry Date: 20110513. Revision Date: 20150711. Publication Type: Journal Article.
  29. 29. Kamaruzzaman S, Ploubidis GB, Fletcher A, Ebrahim S. A reliable measure of frailty for a community dwelling older population. Health and quality of life outcomes. 2010;8:123. Epub 2010/10/30. pmid:21029450; PubMed Central PMCID: PMCPMC2988728.
  30. 30. Metzelthin SF, Daniels R, Van Rossum E, De Witte LP, Van Den Heuvel WJA, Kempen GIJM. The psychometric properties of three self-report screening instruments for identifying frail older people in the community. Tijdschrift voor Gerontologie en Geriatrie. 2010;42(3):120–30.
  31. 31. Barreto PS, Greig C, Ferrandez A-M. Detecting and categorizing frailty status in older adults using a self-report screening instrument. Archives of Gerontology & Geriatrics. 2012;54(3):e249–54. pmid:104555549. Language: English. Entry Date: 20120529. Revision Date: 20150711. Publication Type: Journal Article.
  32. 32. Daniels R, van Rossum E, Beurskens A, van den Heuvel W, de Witte L. The predictive validity of three self-report screening instruments for identifying frail older people in the community. BMC public health. 2012;12:69. Epub 2012/01/25. pmid:22269425; PubMed Central PMCID: PMCPMC3293057.
  33. 33. Dent E, Visvanathan R, Piantadosi C, Chapman I. Use of the Mini Nutritional Assessment to detect frailty in hospitalised older people. J Nutr Health Aging. 2012;16(9):764–7. WOS:000311549900006. pmid:23131818
  34. 34. Peters LL, Boter H, Buskens E, Slaets JPJ. Measurement Properties of the Groningen Frailty Indicator in Home-Dwelling and Institutionalized Elderly People. Journal of the American Medical Directors Association. 2012;13(6):546–51. pmid:22579590. Language: English. Entry Date: 20120904. Revision Date: 20150711. Publication Type: Journal Article.
  35. 35. Saum KU, Muller H, Stegmaier C, Hauer K, Raum E, Brenner H. Development and Evaluation of a Modification of the Fried Frailty Criteria Using Population-Independent Cutpoints. Journal of the American Geriatrics Society. 2012;60(11):2110–5. WOS:000311105000017. pmid:23043490
  36. 36. Bielderman A, Van Der Schans CP, Van Lieshout MRJ, De Greef MHG, Boersma F, Krijnen WP, et al. Multidimensional structure of the Groningen Frailty Indicator in community-dwelling older people. BMC Geriatrics. 2013;13(1). pmid:23968433
  37. 37. De Witte N, Gobbens R, De Donder L, Dury S, Buffel T, Schols J, et al. The comprehensive frailty assessment instrument: Development, validity and reliability. Geriatric Nursing. 2013;34(4):274–81. pmid:23608069. Language: English. Entry Date: 20130819. Revision Date: 20150818. Publication Type: Journal Article.
  38. 38. De Witte N, Gobbens R, De Donder L, Dury S, Buffel T, Verte D, et al. Validation of the Comprehensive Frailty Assessment Instrument against the Tilburg Frailty Indicator. European Geriatric Medicine. 2013;4(4):248–54. WOS:000329554000008.
  39. 39. Goldstein J, Hubbard RE, Moorhouse P, Andrew MK. Feasibility of Using Information Derived from a Care Partner to Develop a Frailty Index Based on Comprehensive Geriatric Assessment. The Journal of frailty & aging. 2013;2(1):15–21. Epub 2013/01/01. pmid:27070453.
  40. 40. van Kempen JAL, Schers HJ, Jacobs A, Zuidema SU, Ruikes F, Robben SHM, et al. Development of an instrument for the identification of frail older people as a target population for integrated care. Br J Gen Pract. 2013;63(608):E225–E31. WOS:000325495400008. pmid:23561790
  41. 41. Andreasen J, Sørensen EE, Gobbens RJJ, Lund H, Aadahl M. Danish version of the Tilburg Frailty Indicator—Translation, cross-cultural adaption and validity pretest by cognitive interviewing. Archives of Gerontology and Geriatrics. 2014;59(1):32–8. pmid:24680192
  42. 42. Cesari M, Demougeot L, Boccalon H, Guyonnet S, Abellan Van Kan G, Vellas B, et al. A self-reported screening tool for detecting community-dwelling older persons with frailty syndrome in the absence of mobility disability: the FiND questionnaire. PloS one. 2014;9(7):e101745. Epub 2014/07/08. pmid:24999805; PubMed Central PMCID: PMCPMC4084999.
  43. 43. Di Bari M, Profili F, Bandinelli S, Salvioni A, Mossello E, Corridori C, et al. Screening for Frailty in Older Adults Using a Postal Questionnaire: Rationale, Methods, and Instruments Validation of the INTER- FRAIL Study. Journal of the American Geriatrics Society. 2014;62(10):1933–7. pmid:25283959. Language: English. Entry Date: 20141023. Revision Date: 20151001. Publication Type: Journal Article.
  44. 44. Garcia-Garcia FJ, Carcaillon L, Fernandez-Tresguerres J, Alfaro A, Larrion JL, Castillo C, et al. A new operational definition of frailty: the Frailty Trait Scale. Journal of the American Medical Directors Association. 2014;15(5):371 e7- e13. Epub 2014/03/07. pmid:24598478.
  45. 45. Jung HW, Kim SW, Ahn S, Lim JY, Han JW, Kim TH, et al. Prevalence and outcomes of frailty in Korean elderly population: comparisons of a multidimensional frailty index with two phenotype models. PloS one. 2014;9(2):e87958. Epub 2014/02/08. pmid:24505338; PubMed Central PMCID: PMCPMC3913700.
  46. 46. Olaroiu M, Ghinescu M, Naumov V, Brinza I, Van Den Heuvel W. The psychometric qualities of the Groningen Frailty Indicator in Romanian community-dwelling old citizens. Family Practice. 2014;31(4). pmid:24846305
  47. 47. Oubaya N, Mahmoudi R, Jolly D, Zulfiqar AA, Quignard E, Cunin C, et al. Screening for frailty in elderly subjects living at home: validation of the Modified Short Emergency Geriatric Assessment (SEGAm) instrument. The journal of nutrition, health & aging. 2014;18(8):757–64. Epub 2014/10/07. pmid:25286456.
  48. 48. Romero-Ortuno R, Soraghan C. A Frailty Instrument for primary care for those aged 75 years or more: findings from the Survey of Health, Ageing and Retirement in Europe, a longitudinal population-based cohort study (SHARE-FI75+). BMJ open. 2014;4(12):e006645. Epub 2014/12/30. pmid:25537787; PubMed Central PMCID: PMCPMC4275665.
  49. 49. Tocchi C, Dixon J, Naylor M, Jeon S, McCorkle R. Development of a frailty measure for older adults: the frailty index for elders. Journal of nursing measurement. 2014;22(2):223–40. Epub 2014/09/27. pmid:25255675.
  50. 50. Uchmanowicz I, Jankowska-Polanska B, Loboz-Rudnicka M, Manulik S, Loboz-Grudzien K, Gobbens RJ. Cross-cultural adaptation and reliability testing of the Tilburg Frailty Indicator for optimizing care of Polish patients with frailty syndrome. Clinical interventions in aging. 2014;9:997–1001. Epub 2014/07/17. pmid:25028543; PubMed Central PMCID: PMCPMC4077386.
  51. 51. Andreasen J, Lund H, Aadahl M, Gobbens RJJ, Sorensen EE. Content validation of the Tilburg Frailty Indicator from the perspective of frail elderly. A qualitative explorative study. Archives of Gerontology and Geriatrics. 2015;61(3):392–9. pmid:26323651
  52. 52. Coelho T, Santos R, Paúl C, Gobbens RJJ, Fernandes L. Portuguese version of the Tilburg Frailty Indicator: Transcultural adaptation and psychometric validation. Geriatrics and Gerontology International. 2015;15(8):951–60. pmid:25255891
  53. 53. Gardiner PA, Mishra GD, Dobson AJ. Validity and responsiveness of the FRAIL scale in a longitudinal cohort study of older Australian women. Journal of the American Medical Directors Association. 2015;16(9):781–3. Epub 2015/06/20. pmid:26089117.
  54. 54. Goldstein J, Hubbard RE, Moorhouse P, Andrew MK, Mitnitski A, Rockwood K. The validation of a care partner-derived frailty index based upon comprehensive geriatric assessment (CP-FI-CGA) in emergency medical services and geriatric ambulatory care. Age and ageing. 2015;44(2):327–30. Epub 2014/11/05. pmid:25362501.
  55. 55. Peters LL, Boter H, Burgerhof JG, Slaets JP, Buskens E. Construct validity of the Groningen Frailty Indicator established in a large sample of home-dwelling elderly persons: Evidence of stability across age and gender. Experimental gerontology. 2015;69:129–41. Epub 2015/05/20. pmid:25981741.
  56. 56. Toosizadeh N, Mohler J, Najafi B. Assessing upper extremity motion: An innovative method to identify frailty. Journal of the American Geriatrics Society. 2015;63(6):1181–6. pmid:26096391
  57. 57. Woo J, Yu R, Wong M, Yeung F, Wong M, Lum C. Frailty Screening in the Community Using the FRAIL Scale. Journal of the American Medical Directors Association. 2015;16(5):412–9. Epub 2015/03/04. pmid:25732832.
  58. 58. Clegg A, Bates C, Young J, Ryan R, Nichols L, Ann Teale E, et al. Development and validation of an electronic frailty index using routine primary care electronic health record data. Age and ageing. 2016;45(3):353–60. Epub 2016/03/06. pmid:26944937; PubMed Central PMCID: PMCPMC4846793.
  59. 59. Gonzalez DdLE, Gutierrez Hermosillo H, Martinez Beltran JA, Chavez JH, Palacios Corona R, Salinas Garza DP, et al. Validation of the FRAIL scale in Mexican elderly: results from the Mexican Health and Aging Study. Aging clinical and experimental research. 2016;28(5):901–8. Epub 2015/12/10. pmid:26646253; PubMed Central PMCID: PMCPMC4899317.
  60. 60. Gregorevic KJ, Hubbard RE, Lim WK, Katz B. The clinical frailty scale predicts functional decline and mortality when used by junior medical staff: a prospective cohort study. BMC geriatrics. 2016;16:117. Epub 2016/06/03. pmid:27250650; PubMed Central PMCID: PMCPMC4890513.
  61. 61. Jokar TO, Ibraheem K, Rhee P, Kulavatunyou N, Haider A, Phelan HA, et al. Emergency general surgery specific frailty index: A validation study. The journal of trauma and acute care surgery. 2016;81(2):254–60. Epub 2016/06/04. pmid:27257694.
  62. 62. Jung HW, Yoo HJ, Park SY, Kim SW, Choi JY, Yoon SJ, et al. The Korean version of the FRAIL scale: clinical feasibility and validity of assessing the frailty status of Korean elderly. The Korean journal of internal medicine. 2016;31(3):594–600. Epub 2015/12/25. pmid:26701231; PubMed Central PMCID: PMCPMC4855093.
  63. 63. Rosas-Carrasco O, Cruz-Arenas E, Parra-Rodriguez L, Garcia-Gonzalez AI, Contreras-Gonzalez LH, Szlejf C. Cross-Cultural Adaptation and Validation of the FRAIL Scale to Assess Frailty in Mexican Adults. Journal of the American Medical Directors Association. 2016;17(12):1094–8. Epub 2016/08/28. pmid:27567463.
  64. 64. Santos KT, Fernandes MH, Carneiro JA, da Silva Coqueiro R. Motor performance tests as screening instruments for frailty in the older adults. Applied nursing research: ANR. 2016;32:80–4. Epub 2016/12/15. pmid:27969057.
  65. 65. Satake S, Senda K, Hong Y-J, Miura H, Endo H, Sakurai T, et al. Validity of the Kihon Checklist for assessing frailty status. [Article]. Geriatrics & Gerontology International June. 2016;16(6):709–15.
  66. 66. Toosizadeh N, Joseph B, Heusser MR, Orouji Jokar T, Mohler J, Phelan HA, et al. Assessing Upper-Extremity Motion: An Innovative, Objective Method to Identify Frailty in Older Bed-Bound Trauma Patients. Journal of the American College of Surgeons. 2016;223(2):240–8. Epub 2016/05/09. pmid:27155751; PubMed Central PMCID: PMCPMC4961594.
  67. 67. Uchmanowicz I, Jankowska-Polanska B, Uchmanowicz B, Kowalczuk K, Gobbens RJ. Validity and Reliability of the Polish Version of the Tilburg Frailty Indicator (TFI). The Journal of frailty & aging. 2016;5(1):27–32. Epub 2016/03/17. pmid:26980366.
  68. 68. Vernerey D, Anota A, Vandel P, Paget-Bailly S, Dion M, Bailly V, et al. Development and validation of the FRAGIRE tool for assessment an older person's risk for frailty. BMC geriatrics. 2016;16(1):187. Epub 2016/11/20. pmid:27855641; PubMed Central PMCID: PMCPMC5114762.
  69. 69. Widagdo IS, Pratt N, Russell M, Roughead EE. Construct Validity of Four Frailty Measures in an Older Australian Population: A Rasch Analysis. The Journal of frailty & aging. 2016;5(2):78–81. Epub 2016/05/26. pmid:27224497.
  70. 70. Fried LP, Tangen Cm Fau—Walston J, Walston J Fau—Newman AB, Newman Ab Fau—Hirsch C, Hirsch C Fau—Gottdiener J, Gottdiener J Fau—Seeman T, et al. Frailty in older adults: evidence for a phenotype. 2001;(1079–5006 (Print)).
    • 71. Mitnitski A, Song X, Skoog I, Broe GA, Cox JL, Grunfeld E, et al. Relative fitness and frailty of elderly men and women in developed countries and their relationship with mortality. Journal of the American Geriatrics Society. 2005;53(12):2184–9. pmid:16398907.
    • 72. Ensrud KE, Ewing SK, Taylor BC,; FHA, Cawthon PM, Stone KL, et al. Comparison of 2 Frailty Indexes for Prediction of Falls, Disability, Fractures, and Death in Older Women. 2008.
      • 73. Ravaglia G, Forti P, Lucicesare A, Pisacane N, Rietti E, Patterson C. Development of an easy prognostic score for frailty outcomes in the aged. Age and ageing. 2008;37(2):161–6. pmid:18238805.
      • 74. Romero-Ortuno R, Walsh CD, Lawlor BA, RA K. A Frailty Instrument for primary care: findings from the Survey of Health, Ageing and Retirement in Europe (SHARE). BMC geriatrics. 2010.
      • 75. Bilotta C, Nicolini P, Case A, Pina G, Rossi S, Vergani C. Frailty syndrome diagnosed according to the Study of Osteoporotic Fractures (SOF) criteria and adverse health outcomes among community-dwelling older outpatients in Italy. A one-year prospective cohort study. Arch Gerontol Geriatr. 2012;54(2):e23–8. pmid:21871675.
      • 76. Romero-Ortuno R. The SHARE operationalized frailty phenotype: a comparison of two approaches. Eur Geriatr Med. 2013;4(4). pmid:24179559; PubMed Central PMCID: PMCPMC3809116.
      • 77. Velanovich V, Antoine H, Swartz A, Peters D, Rubinfeld I. Accumulating deficits model of frailty and postoperative mortality and morbidity: its application to a national database. J Surg Res. 2013;183(1):104–10. pmid:23415494.
      • 78. Joseph B, Pandit V, Zangbar B, Kulvatunyou N, Tang A, O'Keeffe T, et al. Validating trauma-specific frailty index for geriatric trauma patients: a prospective analysis. Journal of the American College of Surgeons. 2014;219(1):10–7 e1. pmid:24952434.
      • 79. van Kempen JA, Schers HJ, Melis RJ, Olde Rikkert MG. Construct validity and reliability of a two-step tool for the identification of frail older people in primary care. Journal of clinical epidemiology. 2014;67(2):176–83. Epub 2013/11/06. pmid:24189087.
      • 80. Freitag S, Schmidt S, Gobbens R. Tilburg frailty indicator. Zeitschrift für Gerontologie und Geriatrie. 2016;49(2):86–93. pmid:25953342
      • 81. Mulasso A, Roppolo M, Gobbens RJ, Rabaglietti E. The Italian version of the Tilburg Frailty Indicator: analysis of psychometric properties. Research on aging. 2016;38(8):842–63. pmid:26377805
      • 82. Abete P, Basile C, Bulli G, Curcio F, Liguori I, Della-Morte D, et al. The Italian version of the "frailty index" based on deficits in health: a validation study. Aging clinical and experimental research. 2017;29(5):913–26. Epub 2017/07/09. pmid:28688080.
      • 83. Aprahamian I, Cezar NODC, Izbicki R, Lin SM, Paulo DLV, Fattori A, et al. Screening for Frailty With the FRAIL Scale: A Comparison With the Phenotype Criteria. Journal of the American Medical Directors Association. 2017;18(7):592–6. pmid:28279607
      • 84. Dong L, Liu N, Tian X, Qiao X, Gobbens RJJ, Kane RL, et al. Reliability and validity of the Tilburg Frailty Indicator (TFI) among Chinese community-dwelling older people. Arch Gerontol Geriatr. 2017;73:21–8. Epub 2017/07/25. pmid:28734173.
      • 85. Ramírez Ramírez JU, Cadena Sanabria MO, Ochoa ME. Edmonton Frail Scale in Colombian older people. Comparison with the Fried criteria. Revista espanola de geriatria y gerontologia. 2017;52(6):322–5. pmid:28601218
      • 86. Toosizadeh N, Wendel C, Hsu CH, Zamrini E, Mohler J. Frailty assessment in older adults using upper-extremity function: index development. BMC geriatrics. 2017;17(1):117. Epub 2017/06/04. pmid:28577355; PubMed Central PMCID: PMCPMC5457588.
      • 87. Braun T, Gruneberg C, Thiel C. German translation, cross-cultural adaptation and diagnostic test accuracy of three frailty screening tools: PRISMA-7, FRAIL scale and Groningen Frailty Indicator. Z Gerontol Geriatr. 2018;51(3):282–92. Epub 2017/08/11. pmid:28795247.
      • 88. Dong L, Qiao X, Tian X, Liu N, Jin Y, Si H, et al. Cross-Cultural Adaptation and Validation of the FRAIL Scale in Chinese Community-Dwelling Older Adults. Journal of the American Medical Directors Association. 2018;19(1):12–7. Epub 2017/08/02. pmid:28757330.
      • 89. Qiao X, Wang C, Tian X, Dong L, Liu N, Jin Y, et al. Cross‐cultural adaptation and validation of the Comprehensive Frailty Assessment Instrument in Chinese community‐dwelling older adults. Geriatrics & gerontology international. 2018;18(2):301–7. pmid:128109655. Language: English. Entry Date: 20180310. Revision Date: 20180310. Publication Type: Article.
      • 90. Vrotsou K, Machón M, Rivas-Ruíz F, Carrasco E, Contreras-Fernández E, Mateo-Abad M, et al. Psychometric properties of the Tilburg Frailty Indicator in older Spanish people. Archives of Gerontology & Geriatrics. 2018;78:203–12. pmid:131090851. Language: English. Entry Date: 20180816. Revision Date: 20180816. Publication Type: Article. Journal Subset: Biomedical.
      • 91. Wu C, Geldhof GJ, Xue Q-L, Kim DH, Newman AB, Odden MC. Development, Construct Validity, and Predictive Validity of a Continuous Frailty Scale: Results From 2 Large US Cohorts. American Journal of Epidemiology. 2018;187(8):1752–62. pmid:29688247. Language: English. Entry Date: 20180807. Revision Date: 20180809. Publication Type: Article. Journal Subset: Biomedical.
      • 92. Sampaio PYS, Sampaio RA, Yamada M, Ogita M, Arai H. Validation and translation of the Kihon Checklist (frailty index) into Brazilian Portuguese. Geriatrics & gerontology international. 2014;14(3):561–9. Epub 2013/09/03. pmid:23992357.
      • 93. Mitnitski AB, Mogilner AJ, Rockwood K. Accumulation of deficits as a proxy measure of aging. The Scientific World Journal. 2001;1:323–36. pmid:12806071
      • 94. Freiheit EA, Hogan DB, Eliasziw M, Meekes MF, Ghali WA, Partlo LA, et al. Development of a frailty index for patients with coronary artery disease. Journal of the American Geriatrics Society. 2010;58(8):1526–31. Epub 2010/07/17. pmid:20633198.
      • 95. Chimukangara M, Helm MC, Frelich MJ, Bosler ME, Rein LE, Szabo A, et al. A 5-item frailty index based on NSQIP data correlates with outcomes following paraesophageal hernia repair. Surgical endoscopy. 2017;31(6):2509–19. pmid:27699515
      • 96. Raîche M, Hébert R, Dubois M-F. PRISMA-7: a case-finding tool to identify older adults with moderate to severe disabilities. Archives of gerontology and geriatrics. 2008;47(1):9–18. pmid:17723247
      • 97. Ma L, Zhang L, Tang Z, Sun F, Diao L, Wang J, et al. Use of the frailty index in evaluating the prognosis of older people in Beijing: a cohort study with an 8-year follow-up. Archives of gerontology and geriatrics. 2016;64:172–7. pmid:26778493
      • 98. Scarcella P, Liotta G, Marazzi M, Carbini R, Palombi L. Analysis of survival in a sample of elderly patients from Ragusa, Italy on the basis of a primary care level multidimensional evaluation. Archives of gerontology and geriatrics. 2005;40(2):147–56. pmid:15680499
      • 99. Ma L, Tang Z, Chan P, Walston JD. Novel Frailty Screening Questionnaire (FSQ) predicts 8-year mortality in older adults in China. The Journal of frailty & aging. 2018;8(1):33–8.
      • 100. Fabrício-Wehbe SCC, Schiaveto FV, Vendrusculo TRP, Haas VJ, Dantas RAS, Rodrigues RAP. Cross-cultural adaptation and validity of the "Edmonton frail scale—EFS" in a Brazilian elderly sample. Revista Latino-Americana de Enfermagem. 2009;17(6):1043–9. pmid:20126949
      • 101. Lindôso ZCL. Elaboração de um instrumento multidimensional para o rastreio de síndrome da fragilidade em idosos atendidos na atenção primaria [tese]. Rio Grande do Sul Pontifícia Universidade Católica–PUCRS; 2012.
        • 102. Borges CL. Adaptação transcultural do instrumento Groningen Frailty Indicator em idosos brasileiros [Mestrado Acadêmico em Cuidados Clínicos em Enfermagem]: Universidade Estadual do Ceará; 2013.
          • 103. Fabrício-Wehbe SC. Reproducibility of the Brazilian version of the Edmonton Frail Scale for elderly living in the community. Revista latino-americana de enfermagem. 2013;21(6):1330–6. pmid:24271320
          • 104. Santiago LM. Fragilidade em idosos no Brasil: identificação e analise de um instrumento de avaliação para ser utilizado na população do país [tese]: Escola Nacional de Saúde Pública Sergio Arouca; 2013.
            • 105. Santiago LM, Luz LL, Mattos IE, Gobbens RJJ, van Assen MALM. Psychometric properties of the brazilian version of the tilburg frailty indicator (TFI). Archives of Gerontology and Geriatrics. 2013;57(1):39–45. pmid:23538005
            • 106. Nunes DP, Duarte YAdO, Santos JLF, Lebrão ML. Screening for frailty in older adults using a self-reported instrument. Revista de saude publica. 2015;49:2. Epub 2015/03/06. pmid:25741658; PubMed Central PMCID: PMCPMC4386551.
            • 107. Moraes EN, Carmo JA, Moraes FL, Azevedo RS, Machado CJ, Montilla DER. Clinical-Functional Vulnerability Index-20 (IVCF-20): Rapid recognition of frail older adults. Revista de Saude Publica. 2016;50:81. pmid:28099667
            • 108. Saenger ALF, Caldas CP, Motta LB. Adaptação transcultural para o Brasil do instrumento PRISMA-7: avaliação das equivalências conceitual, de item e semântica. Cadernos de Saúde Pública. 2016;32:e00072015. pmid:27759794
            • 109. Shinkai S, Watanabe N, Yoshida H, Fujiwara Y, Amano H, Lee S, et al. Research on screening for frailty: development of "the Kaigo-Yobo Checklist". Japanese journal of public health. 2010;57(5):345–54. pmid:20666121
            • 110. Ogawa K, Fujiwara Y, Yoshida H, Nishi M, Fukaya T, Kim M, et al. The validity of the "Kihon Check-list" as an index of frailty and its biomarkers and inflammatory markers in elderly people. Nihon Ronen Igakkai zasshi Japanese journal of geriatrics. 2011;48(5):545–52. Epub 2012/02/11. pmid:22323034.
            • 111. Shinkai S, Watanabe N, Yoshida H, Fujiwara Y, Nishi M, Fukaya T, et al. Validity of the "Kaigo-Yobo Check-List" as a frailty index. Japanese journal of public health. 2013;60(5):262–74. Epub 2013/08/15. pmid:23942023.
            • 112. Hwang HS, Kwon IS, Park BJ, Cho B, Yoon JL, Won CW. The validity and reliability of Korean frailty index. Journal of the Korean Geriatrics Society. 2010;14(4):191–202.
            • 113. Dapp U, Anders J, Golgert S, von Renteln-Kruse W, Minder CE. Resources and risks in old age. The LUCAS-I marker set for a classification of elderly people as FIT, pre-FRAIL and FRAIL. first results on validity from the longitudinal urban cohort ageing study (LUCAS), Hamburg. Zeitschrift fur Gerontologie und Geriatrie. 2012;45(4):262–70. pmid:22622674
            • 114. Whitehead M, Dahlgren G. What can be done about inequalities in health? The lancet. 1991;338(8774):1059–63.
            • 115. Steptoe A, Shankar A, Demakakos P, Wardle J. Social isolation, loneliness, and all-cause mortality in older men and women. Proceedings of the National Academy of Sciences. 2013;110(15):5797–801.
            • 116. Morley JE, Vellas B, Van Kan GA, Anker SD, Bauer JM, Bernabei R, et al. Frailty consensus: a call to action. Journal of the American Medical Directors Association. 2013;14(6):392–7. pmid:23764209
            • 117. Rodríguez-Mañas L, Féart C, Mann G, Viña J, Chatterji S, Chodzko-Zajko W, et al. Searching for an operational definition of frailty: a Delphi method based consensus statement. The frailty operative definition-consensus conference project. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences. 2013;68(1):62–7.
            • 118. Pereira AA, Borim FSA, Neri AL. 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(2):273–85.
            • 119. Aranda MP, Ray LA, Snih SAl, Ottenbacher KJ, Markides KS. The protective effect of neighborhood composition on increasing frailty among older Mexican Americans: a barrio advantage? Journal of aging and health. 2011;23(7):1189–217. pmid:21948774
            • 120. Cramm JM, Nieboer AP. Relationships between frailty, neighborhood security, social cohesion and sense of belonging among community‐dwelling older people. Geriatrics & gerontology international. 2013;13(3):759–63.
            • 121. Costa-Font J, Elvira D, Mascarilla-Miró O. Ageing in place'? Exploring elderly people's housing preferences in Spain. Urban studies. 2009;46(2):295–316.
            • 122. Teixeira INDAO Néri AL. A fragilidade no envelhecimento: fenômeno multidimensional, multideterminado e evolutivo. In: Koogan G, editor. Tratado de geriatria e gerontologia 2ª ed ed. Rio de Janeiro2006. p. 1102–8.
              • 123. Hardy SE, Dubin JA, Holford TR, Gill TM. Transitions between states of disability and independence among older persons. American journal of epidemiology. 2005;161(6):575–84. pmid:15746474
              • 124. Gill TM, Baker DI, Gottschalk M, Peduzzi PN, Allore H, Byers A. A program to prevent functional decline in physically frail, elderly persons who live at home. New England Journal of Medicine. 2002;347(14):1068–74. pmid:12362007
              • 125. Gill TM, Gahbauer EA, Allore HG, Han L. Transitions between frailty states among community-living older persons. Archives of internal medicine. 2006;166(4):418–23. pmid:16505261
              • 126. Sanders JL, Boudreau RM, Fried LP, Walston JD, Harris TB, Newman AB. Measurement of organ structure and function enhances understanding of the physiological basis of frailty: the Cardiovascular Health Study. Journal of the American Geriatrics Society. 2011;59(9):1581–8. pmid:21883106
              • 127. Rockwood K, Theou O, Mitnitski A. What are frailty instruments for? Age and ageing. 2015;44(4):545–7. pmid:25824236
              • 128. Gilardi F, Capanna A, Ferraro M, Scarcella P, Marazzi M, Palombi L, et al. Frailty screening and assessment tools: a review of characteristics and use in Public Health. Ann Ig. 2018;30:128–39. pmid:29465150
              • 129. Pasquali L. Parâmetros psicométricos dos testes psicológicos. Técnicas de Exame Psicológico–TEP. 2001;1.
              • 130. Barth J, Schneider S, Von Känel R. Lack of social support in the etiology and the prognosis of coronary heart disease: a systematic review and meta-analysis. Psychosomatic medicine. 2010;72(3):229–38. pmid:20223926
              • 131. Bassuk SS, Glass TA, Berkman LF. Social disengagement and incident cognitive decline in community-dwelling elderly persons. Annals of internal medicine. 1999;131(3):165–73. pmid:10428732
              • 132. Bouillon K, Kivimaki M, Hamer M, Sabia S, Fransson EI, Singh-Manoux A, et al. Measures of frailty in population-based studies: an overview. BMC Geriatr. 2013;v. 13, n. 1, p. 64.