Malnutrition in older adults.

Malnutrition is a highly prevalent condition in older adults, and poses a substantial burden on health, social, and aged-care systems. Older adults are vulnerable to malnutrition due to age-related physiological decline, reduced access to nutritious food, and comorbidity. Clinical guidelines recommend routine screening for malnutrition in all older adults, together with nutritional assessment and individually tailored nutritional support for older adults with a positive screening test. Nutritional support includes offering individualised nutritional advice and counselling; oral nutritional supplements; fortified foods; and enteral or parenteral nutrition as required. However, in clinical practice, the incorporation of nutritional guidelines is inadequate and low-value care is commonplace. This Review discusses the current evidence on identification and treatment of malnutrition in older adults, identifies gaps between evidence and practice in clinical care, and offers practical strategies to translate evidence-based knowledge into improved nutritional care. We also provide an overview of the prevalence, causes, and risk factors of malnutrition in older adults across health-care settings.

Higher plant-derived nitrate intake is associated with lower odds of frailty in a cross-sectional study of community-dwelling older women.

PURPOSE: Dietary nitrate intake is inversely related to numerous contributors towards frailty, including cardiovascular disease and poor physical function. Whether these findings extend to frailty remain unknown. We investigated if habitual nitrate intake, derived from plants or animal-based foods, was cross-sectionally associated with frailty in women. METHODS: Community-dwelling older Australian women (n = 1390, mean age 75.1 ± 2.7 years) completed a validated semi-quantitative food frequency questionnaire (FFQ). Nitrate concentrations in food were obtained from international nitrate databases. We adopted the Rockwood frailty index (FI) of cumulative deficits comprising 33 variables across multiple health domains (scored 0 to 1), which predicts increased hospitalisation and mortality risk. A FI ≥ 0.25 indicated frailty. Cross-sectional associations between nitrate intake (total plant and animal nitrate, separately) and frailty were analysed using multivariable-adjusted logistic regression models (including lifestyle factors), as part of restricted cubic splines. RESULTS: A non-linear inverse relationship was observed between total plant nitrate intake and frailty. Compared to women with the lowest plant nitrate intake (Quartile [Q]1), women with greater intakes in Q2 (OR 0.69 95%CI 0.56-0.84), Q3 (OR 0.67 95%CI 0.50-0.90) and Q4 (OR 0.66 95%CI 0.45-0.98) had lower odds for frailty. A nadir in the inverse association was observed once intakes reached ~ 64 mg/d (median Q2). No relationship was observed between total animal nitrate and frailty. CONCLUSION: Community-dwelling older women consuming low amounts of plant-derived nitrate were more likely to present with frailty. Consuming at least one daily serving (~ 75 g) of nitrate-rich green leafy vegetables may be beneficial in preventing frailty.

Core requirements of frailty screening in the emergency department: an international Delphi consensus study.

INTRODUCTION: Frailty is associated with adverse outcomes among patients attending emergency departments (EDs). While multiple frailty screens are available, little is known about which variables are important to incorporate and how best to facilitate accurate, yet prompt ED screening. To understand the core requirements of frailty screening in ED, we conducted an international, modified, electronic two-round Delphi consensus study. METHODS: A two-round electronic Delphi involving 37 participants from 10 countries was undertaken. Statements were generated from a prior systematic review examining frailty screening instruments in ED (logistic, psychometric and clinimetric properties). Reflexive thematic analysis generated a list of 56 statements for Round 1 (August-September 2021). Four main themes identified were: (i) principles of frailty screening, (ii) practicalities and logistics, (iii) frailty domains and (iv) frailty risk factors. RESULTS: In Round 1, 13/56 statements (23%) were accepted. Following feedback, 22 new statements were created and 35 were re-circulated in Round 2 (October 2021). Of these, 19 (54%) were finally accepted. It was agreed that ideal frailty screens should be short (<5 min), multidimensional and well-calibrated across the spectrum of frailty, reflecting baseline status 2-4 weeks before presentation. Screening should ideally be routine, prompt (<4 h after arrival) and completed at first contact in ED. Functional ability, mobility, cognition, medication use and social factors were identified as the most important variables to include. CONCLUSIONS: Although a clear consensus was reached on important requirements of frailty screening in ED, and variables to include in an ideal screen, more research is required to operationalise screening in clinical practice.

Intrinsic capacity: an under-researched concept in geriatrics.

In 2015, the World Health Organisation (WHO) introduced the concept of intrinsic capacity (IC) as part of a new public health model for healthy ageing. IC refers to the overall combination of an individual's physical and mental capacities, and is promoted as a new positive approach to the health and wellbeing of older adults. However, there is still insufficient evidence that implementing IC leads to better care for older adults. Moreover, the current operationalisations of IC lead to confusion and redundant research. In this commentary, we discuss whether the concept of IC has added value for geriatrics, and describe the main issues related to its conceptualisation, measurement, and application. We argue that there is a need to clarify and validate the concept of IC, including independent evidence regarding its feasibility and acceptance in clinical practice.

Exercise to Prevent and Manage Frailty and Fragility Fractures.

PURPOSE OF REVIEW: This review identifies exercise-based recommendations to prevent and manage frailty and fragility fractures from current clinical practice guidelines. We also critically assess recently published literature in relation to exercise interventions to mitigate frailty and fragility fractures. RECENT FINDINGS: Most guidelines presented similar recommendations that included the prescription of individually tailored, multicomponent exercise programs, discouragement of prolonged sitting and inactivity, and combining exercise with optimal nutrition. To target frailty, guidelines recommend supervised progressive resistance training (PRT). For osteoporosis and fragility fractures, exercise should include weight-bearing impact activities and PRT to target bone mineral density (BMD) at the hip and spine, and also incorporate balance and mobility training, posture exercises, and functional exercise relevant to activities of daily living to reduce falls risk. Walking as a singular intervention has limited benefits for frailty and fragility fracture prevention and management. Current evidence-based clinical practice guidelines for frailty, osteoporosis, and fracture prevention recommend a multifaceted and targeted approach to optimise muscle mass, strength, power, and functional mobility as well as BMD.

Resting metabolic rate in relation to incident disability and mobility decline among older adults: the modifying role of frailty.

BACKGROUND: Alterations in resting metabolic rate (RMR), the largest component of daily total energy expenditure, with aging have been shown in various studies. However, little is known about the associations between RMR and health outcomes in later life. AIMS: To analyze whether RMR is associated with incident disability and mobility decline in a 10-year longitudinal study, as well as the moderating role of frailty in these associations. METHODS: Data from 298 older adults aged 70 and over from the Frailty and Dependence in Albacete (FRADEA) study in Spain were used, including a baseline measurement in 2007-2009 and a follow-up measurement 10 years later. RMR was measured by indirect calorimetry. Outcomes were incident disability in basic activities of daily living (BADL, Barthel Index), incident disability in instrumental ADL (IADL, Lawton index), and mobility decline (Functional Ambulation Categories scores). Fried's frailty phenotype was used as an indicator of frailty. Logistic regression analyses were conducted. RESULTS: Fully adjusted and stratified analyses revealed that only in the pre-frail/frail group, a higher RMR was associated with a lower risk of incident BADL disability (OR = 0.47, 95% CI = 0.23-0.96, p = 0.037), incident IADL disability (OR = 0.39, 95% CI = 0.18-0.84, p = 0.017), and mobility decline (OR = 0.30, 95% CI = 0.14-0.64, p = 0.002). CONCLUSIONS: To our knowledge, this is the first study looking at the associations between RMR and functional health using a longitudinal research design. The results suggest that RMR could be used as an early identifier of a specific resilient group within the pre-frail and frail older population, with a lower risk of further health decline.

Management of frailty: opportunities, challenges, and future directions.

Frailty is a complex age-related clinical condition characterised by a decline in physiological capacity across several organ systems, with a resultant increased susceptibility to stressors. Because of the heterogeneity of frailty in clinical presentation, it is important to have effective strategies for the delivery of care that range across the continuum of frailty severity. In clinical practice, we should do what works, starting with frailty screening, case identification, and management of frailty. This process is unarguably difficult given the absence of an adequate evidence base for individual and health-system interventions to manage frailty. We advocate change towards individually tailored interventions that preserve an individual's independence, physical function, and cognition. This change can be addressed by promoting the recognition of frailty, furthering advancements in evidence-based treatment options, and identifying cost-effective care delivery strategies.

New insights into the anorexia of ageing: from prevention to treatment.

PURPOSE OF REVIEW: Undernutrition in older adults is associated with frailty, functional decline, and mortality. The 'anorexia of ageing' is the age-related appetite and weight loss underpinning such undernutrition. This review examines the latest evidence for its prevention and treatment. RECENT FINDINGS: Existing nutritional therapies for the anorexia of ageing include supporting nutritional intake with fortified food or supplements, including protein, omega-3 fatty acids, multivitamins, and vitamin D. The Mediterranean diet provides high fat intake and nutrient density in a moderate volume of colourful and flavoursome food and is strengthening in evidence for healthy ageing. Studies of the gut microbiome, which potentially regulates normal appetite by acting on the brain-gut communication axis, are pertinent. Utilisation of the genetic profile of individuals to determine nutritional needs is an exciting advancement of the past decade and may become common practice. SUMMARY: Prevention or early treatment of the anorexia of ageing in older adults is critical. Latest evidence suggests that once significant weight loss has occurred, aggressive nutritional support may not result in improved outcomes.

Should we screen for frailty in primary care settings? A fresh perspective on the frailty evidence base: A narrative review.

With older adults living longer, health service providers have increasingly turned their attention towards frailty and its significant consequences for health and well-being. Consequently, frailty screening has gained momentum as a possible health policy answer to the question of what can be done to prevent frailty's onset and progression. However, who should be screened for frailty, where and when remains a subject of extensive debate. The purpose of this narrative review is to explore the dimensions of this question with reference to Wilson and Jungner's time-tested and widely accepted principles for acceptable screening within community settings. Although the balance of the emerging evidence to support frailty screening is promising, significant gaps in the evidence base remain. Consequently, when assessed against Wilson and Jungner's principles, extensive population screening does not appear to be supported by the evidence. However, screening for the purpose of case-finding may prove useful among older adults.

A nurse-led model of care within an emergency department reduces representation rates for frail aged care residents.

BACKGROUND: Hospital Emergency Departments (EDs) experience high presentation rates from older adults residing in Aged Care Facilities (ACFs), yet very few intervention studies have addressed the care needs of this population group. We designed and implemented a nurse-led model of care for older adults from ACFs, and determined its impact on patient outcomes. METHODS: This 12-month pre-post intervention study was conducted during 2013-2014, with follow-up during 2015-2016. Participants included all older adults presenting from ACFs to the ED of Mater Hospital Brisbane (MHB), Australia. Frailty status was determined using the Clinical Frailty Scale (CFS). RESULTS: All participants were frail (n = 1130), with 19% severely frail, 55% very-severely frail, and 26% terminally ill. The intervention resulted in several improvements in patient outcomes, including significant reductions in ward admissions and 28-day representation rates. CONCLUSION: Significant improvements can be achieved by integration of an acute frail older person service into an ED.

Application of an electronic Frailty Index in Australian primary care: data quality and feasibility assessment.

BACKGROUND: The primary care setting is the ideal location for identifying the condition of frailty in older adults. AIMS: The aim of this pragmatic study was twofold: (1) to identify data items to extract the data required for an electronic Frailty Index (eFI) from electronic health records (EHRs); and (2) test the ability of an eFI to accurately and feasibly identify frailty in older adults. METHODS: In a rural South Australian primary care clinic, we derived an eFI from routinely collected EHRs using methodology described by Clegg et al. We assessed feasibility and accuracy of the eFI, including complexities in data extraction. The reference standard for comparison was Fried's frailty phenotype. RESULTS: The mean (SD) age of participants was 80.2 (4.8) years, with 36 (60.0%) female (n = 60). Frailty prevalence was 21.7% by Fried's frailty phenotype, and 35.0% by eFI (scores > 0.21). When deriving the eFI, 85% of EHRs were perceived as easy or neutral difficulty to extract the required data from. Complexities in data extraction were present in EHRs of patients with multiple health problems and/or where the majority of data items were located other than on the patient's summary problem list. DISCUSSION: This study demonstrated that it is entirely feasible to extract an eFI from routinely collected Australian primary care data. We have outlined a process for extracting an eFI from EHRs without needing to modify existing infrastructure. Results from this study can inform the development of automated eFIs, including which data items to best access data from.

Identification of older adults with frailty in the Emergency Department using a frailty index: results from a multinational study.

Objective: frailty is a central concept in geriatric medicine, yet its utility in the Emergency Department (ED) is not well understood nor well utilised. Our objectives were to develop an ED frailty index (FI-ED), using the Rockwood cumulative deficits model and to evaluate its association with adverse outcomes. Method: this was a large multinational prospective cohort study using data from the interRAI Multinational Emergency Department Study. The FI-ED was developed from the Canadian cohort and validated in the multinational cohort. All patients aged ≥75 years presenting to an ED were included. The FI-ED was created using 24 variables included in the interRAI ED-Contact Assessment tool. Results: there were 2,153 participants in the Canadian cohort and 1,750 in the multinational cohort. The distribution of the FI-ED was similar to previous frailty indices. The mean FI-ED was 0.26 (Canadian cohort) and 0.32 (multinational cohort) and the 99th percentile was 0.71 and 0.81, respectively. In the Canadian cohort, a 0.1 unit increase in the FI-ED was significantly associated with admission (odds ratio (OR) = 1.43 [95% CI: 1.34-1.52]); death at 28 days (OR = 1.55 [1.38-1.73]); prolonged hospital stay (OR = 1.37 [1.22-1.54]); discharge to long-term care (OR = 1.30 [1.16-1.47]); and need for Comprehensive geriatric Assessment (OR = 1.51 [1.41-1.60]). The multinational cohort showed similar associations. Conclusion: the FI-ED conformed to characteristics previously reported. A FI, developed and validated from a brief geriatric assessment tool could be used to identify ED patients at higher risk of adverse events.

Prevalence and reporting of recruitment, randomisation and treatment errors in clinical trials: A systematic review.

Background/aims In clinical trials, it is not unusual for errors to occur during the process of recruiting, randomising and providing treatment to participants. For example, an ineligible participant may inadvertently be randomised, a participant may be randomised in the incorrect stratum, a participant may be randomised multiple times when only a single randomisation is permitted or the incorrect treatment may inadvertently be issued to a participant at randomisation. Such errors have the potential to introduce bias into treatment effect estimates and affect the validity of the trial, yet there is little motivation for researchers to report these errors and it is unclear how often they occur. The aim of this study is to assess the prevalence of recruitment, randomisation and treatment errors and review current approaches for reporting these errors in trials published in leading medical journals. Methods We conducted a systematic review of individually randomised, phase III, randomised controlled trials published in New England Journal of Medicine, Lancet, Journal of the American Medical Association, Annals of Internal Medicine and British Medical Journal from January to March 2015. The number and type of recruitment, randomisation and treatment errors that were reported and how they were handled were recorded. The corresponding authors were contacted for a random sample of trials included in the review and asked to provide details on unreported errors that occurred during their trial. Results We identified 241 potentially eligible articles, of which 82 met the inclusion criteria and were included in the review. These trials involved a median of 24 centres and 650 participants, and 87% involved two treatment arms. Recruitment, randomisation or treatment errors were reported in 32 in 82 trials (39%) that had a median of eight errors. The most commonly reported error was ineligible participants inadvertently being randomised. No mention of recruitment, randomisation or treatment errors was found in the remaining 50 of 82 trials (61%). Based on responses from 9 of the 15 corresponding authors who were contacted regarding recruitment, randomisation and treatment errors, between 1% and 100% of the errors that occurred in their trials were reported in the trial publications. Conclusion Recruitment, randomisation and treatment errors are common in individually randomised, phase III trials published in leading medical journals, but reporting practices are inadequate and reporting standards are needed. We recommend researchers report all such errors that occurred during the trial and describe how they were handled in trial publications to improve transparency in reporting of clinical trials.

Identification of service improvement opportunities in an Australian community transition care program.

BACKGROUND: Transition care programs (TCPs) are designed to optimise functional recovery and independence in older adults post-hospitalisation. These programs are under high demand, and understanding inefficiencies in patient flow are a key step towards service improvement. AIMS: To identify service improvement opportunities in an Australian community TCP service. METHODS: An in-depth retrospective study of 113 community TCP clients. RESULTS: TCP occupancy was high (94%) and client functional level improved across the program. Inefficiencies experienced included: admission delays to the program; low completion rates (61%) predominantly due to re-hospitalisation; variable response times by Allied Health services (5-20 days); and discharge delays-the latter attributed to waiting for services such as Home Care Packages through Non-Government Organisations. DISCUSSION: This study identified several opportunities for service improvement in a community TCP service. Health practitioners should be regularly provided with up-to-date information on efficiency of TCP services.

Translating a health service intervention into a rural setting: lessons learned.

BACKGROUND: Limited research exists on the process of applying knowledge translation (KT) methodology to a rural-based population health intervention. METHODS: This study reports on the implementation and translational stages of a previously described Co-creating KT (Co-KT) framework in the rural town of Port Lincoln, South Australia (population: 14,000). The Co-KT framework involves five steps: (i) collecting local data; (ii) building stakeholder relationships; (iii) designing an evidence-based intervention incorporating local knowledge; (iv) implementation and evaluation of the intervention; and (v) translating the research into policy and practice. Barriers and enablers to the overall Co-KT implementation process were identified. Our intervention focused on musculoskeletal (MSK) conditions. RESULTS: Although the Co-KT framework was valuable in engaging with the community, translating the final intervention into daily clinical practice was prevented by a lack of an accessible policy or financial framework to anchor the appropriate intervention, a lack of continued engagement with stakeholders, access problems to general practitioners (GPs) and Allied Health Professionals; and the paucity of referrals from GPs to Allied Health Professionals. Consequently, while many aspects of the intervention were successful, including the improvement of both function and pain in study participants, the full implementation of the Co-KT framework was not possible. DISCUSSION: This study implemented and evaluated a Co-KT framework for a population with MSK conditions, linking locally generated health care system knowledge with academic input. Further policy, health system changes, and on-the-ground support are needed to overcome the identified implementation challenges in order to create sustainable and effective system change.

Medication Regimen Complexity and Unplanned Hospital Readmissions in Older People.

BACKGROUND: Medication-related problems and adverse drug events are leading causes of preventable hospitalizations. Few previous studies have investigated the possible association between medication regimen complexity and unplanned rehospitalization. OBJECTIVE: To investigate the association between discharge medication regimen complexity and unplanned rehospitalization over a 12-month period. METHOD: The prospective study comprised patients aged ≥70 years old consecutively admitted to a Geriatrics Evaluation and Management (GEM) unit between October 2010 and December 2011. Medication regimen complexity at discharge was calculated using the 65-item validated Medication Regimen Complexity Index (MRCI). Cox proportional-hazards regression was used to compute unadjusted and adjusted hazard ratios (HRs) with 95% CIs for factors associated with rehospitalization over a 12-month follow-up period. RESULT: Of 163 eligible patients, 99 patients had one or more unplanned hospital readmissions. When adjusting for age, sex, activities of daily living, depression, comorbidity, cognitive status, and discharge destination, MRCI (HR = 1.01; 95% CI = 0.81-1.26), number of discharge medications (HR = 1.01; 95% CI = 0.94-1.08), and polypharmacy (≥9 medications; HR = 1.12; 95% CI = 0.69-1.80) were not associated with rehospitalization. In patients discharged to nonhome settings, there was an association between rehospitalization and the number of discharge medications (HR = 1.12; 95% CI = 1.01-1.25) and polypharmacy (HR = 2.24; 95% CI = 1.02-4.94) but not between rehospitalization and MRCI (HR = 1.32; 95% CI = 0.98-1.78). CONCLUSION: Medication regimen complexity was not associated with unplanned hospital readmission in older people. However, in patients discharged to nonhome settings, the number of discharge medications and polypharmacy predicted rehospitalization. A patient's discharge destination is an important factor in unplanned medication-related readmissions.

Frailty and functional decline indices predict poor outcomes in hospitalised older people.

BACKGROUND: admission to a Geriatric Evaluation and Management Unit (GEMU) can optimise a patient's chance of functional recovery. OBJECTIVE: to evaluate the ability of several commonly used frailty and functional decline indices to predict GEMU outcomes, both at discharge and at 6 months. DESIGN: prospective, observational study. SETTING AND PARTICIPANTS: consecutive GEMU patients aged ≥70 years. METHODS: patients were classified as 'frail' or 'at high risk of functional decline' using several frailty and functional decline instruments. Predictive ability was evaulated using logistic regression and area under receiver operator characteristic (ROC) curves (auROC). RESULTS: a total of 172 patients were included. Frailty prevalence varied from 24 to 94% depending on the instrument used. Several instruments predicted patients at risk of poor outcome, including the Frailty Index of Accumulative Deficits (FI-CD), Fried's Cardiovascular Health Study index, the Study of Osteoporotic Fractures index, an adapted Katz score of activities of daily living (ADL), Instrumental ADL, the Score Hospitalier d'Evaluation du Risque de Perte d'Autonomie (SHERPA) and grip strength [odds ratio (OR) range of 2.06-6.47]. Adequate discriminatory power for discharge outcome was achieved by the FI-CD (auROC = 0.735, P < 0.001) and an adapted Katz score (auROC = 0.704, P = < 0.001). The FI-CD also showed adequate discriminatory power for a poor 6-month outcome (auROC = 0.702, P < 0.001). CONCLUSION: frailty and functional decline instruments can predict older patients at risk of poor outcome. However, only the FI-CD showed adequate discriminatory power for outcome prediction at both follow-up time-points.

Psychosocial factors modify the association of frailty with adverse outcomes: a prospective study of hospitalised older people.

BACKGROUND: Frailty increases the risk of adverse outcomes in older people. The impact of psychosocial factors on frailty and adverse clinical outcomes associated with frailty has not yet been examined in the hospital setting. The aims of this study were to: i) investigate the association between psychosocial factors and frailty, and ii) to establish whether psychosocial factors impact on the association between frailty and adverse outcomes. METHODS: Data was collected from a Geriatric Evaluation and Management Unit (GEMU) in Australia. Frailty was identified using Fried's frailty criteria. Psychosocial factors included wellbeing, sense of control (mastery), social activities, home/neighbourhood satisfaction, social relationships, anxiety and depression. Outcome measures were: mortality at 12 months, long length of GEMU stay (LOS), 1-month emergency rehospitalisation, and a higher level of care needed on discharge. Covariates adjusted for were age, gender and comorbidity. RESULTS: The mean (SD) age of participants (n = 172) at admission was 85.2 (6.4) years, with 129 (75%) female patients. 96 (56%) patients were classified as frail, with 64 (37%) pre-frail and 12 (7%) robust. Frail patients had an increased likelihood of 12-month mortality (HR, 95% CI = 3.16, 1.36-7.33), discharge to a higher level of care (OR, 95% CI = 2.40, 1.21-4.78), long LOS (OR, 95% CI = 2.04, 1.07-3.88) and 1-month emergency rehospitalisation (OR, 95% CI = 2.53, 1.10-5.82). Psychosocial factors associated with frailty included poor wellbeing, anxiety, depression, and a low sense of control. Several psychosocial factors increased the likelihood of adverse outcomes associated with frailty, including anxiety and low ratings for: wellbeing, sense of control, social activities and home/neighbourhood satisfaction. CONCLUSIONS: Our results indicate that frail older adults with low psychosocial resources had an elevated risk of mortality, discharge to higher level care, long LOS and rehospitalisation. Consideration of psychosocial factors in comprehensive geriatric assessments will assist in patient care planning.

The relationship between frailty and social vulnerability: a systematic review.

Both frailty (reduced physiological reserve) and social vulnerability (scarcity of adequate social connections, support, or interaction) become more common as people age and are associated with adverse consequences. Analyses of the relationships between these constructs can be limited by the wide range of measures used to assess them. In this systematic review, we synthesised 130 observational studies assessing the association between frailty and social vulnerability, the bidirectional longitudinal relationships between constructs, and their joint associations with adverse health outcomes. Frailty, across assessment type, was associated with increased loneliness and social isolation, perceived inadequacy of social support, and reduced social participation. Each of these social vulnerability components was also associated with more rapid progression of frailty and lower odds of improvement compared with the absence of that social vulnerability component (eg, more rapid frailty progression in people with social isolation vs those who were not socially isolated). Combinations of frailty and social vulnerability were associated with increased mortality, decline in physical function, and cognitive impairment. Clinical and public health measures targeting frailty or social vulnerability should, therefore, account for both frailty and social vulnerability.