A Comparison of Frailty Assessment Instruments in Different Clinical and Social Care Settings: The Frailtools Project

Examining the impact of 28-week multicomponent and strength exercises on brain health, salivary stress, and mental well-being in frail older women: A controlled trial analysis

BACKGROUND

In recent years, the efficacy of various physical exercise programs in enhancing functional fitness among frail older adults has gained recognition. However, limited research has concurrently explored the long-term effects of exercise on brain health, stress biomarkers, and mental well-being. This study aimed to investigate the impact of two distinct chair-based exercise programs on salivary stress hormones and psychological well-being in frail older women over a 28-week period.

METHODS

A total of 140 individuals participated in the enrollment phase, with 84 eligible participants randomly assigned to three groups. Following the intervention, data from 60 participants were analyzed across the multicomponent exercise (MCE, n = 23), elastic band muscle-strength exercise (ESE, n=19), and non-exercise control (CG n=18) groups. Salivary biomarkers of alpha-amylase (α-AMY) Cortisol (COR), alpha-amylase/cortisol ratio, psychological indicators and physical frailty (PF) and functional fitness were assessed pre- and post-intervention.

RESULTS

Salivary COR levels exhibited a significant time × group interaction, with a moderate increase in MCE, a small decrease in ESE, and a substantial increase in CGne. Salivary α-AMY levels varied significantly over time and by group, with a small decrease in both exercise groups and a moderate increase in CGne. The α-AMY /COR ratio also displayed a significant interaction effect. Additionally, significant improvements were observed in PF compound scores, general self-efficacy, attitudes toward aging, and reductions in perceived stress and depressive symptoms (p < 0.05).

CONCLUSIONS

Notably, the MCE program demonstrated greater benefits than ESE. The observed associations between changes in α-AMY levels, mental well-being, and functional fitness indicators contribute novel evidence on the psychophysiological adaptations to long-term exercise. Importantly, reductions in PF scores correlated with improvements in self-efficacy, attitudes toward aging, and handgrip strength, reinforcing the link between functional fitness, stress regulation, and psychological well-being. These findings emphasize the need for tailored exercise interventions to enhance both physiological resilience and mental health in frail older populations.

Frailty-aware Care in the Emergency Department

Older adults living with frailty are a growing population that will increasingly present to the emergency department (ED). This is a population that is at increased risk of adverse health outcomes and most EDs are not designed with their needs in mind. Instead of characterizing patients based on chronologic age or existing triage tools, frailty assessment offers an accurate, feasible, and patient-centered approach to improving care, and should be performed in the ED.

Muscle power predicts frailty and other adverse events across different settings

OBJECTIVES

To evaluate the association between lower-limb muscle power (MP) and frailty, measured using eight different scales, in older adults from four clinical settings. Additionally, to examine the predictive capacity of MP for adverse health events.

DESIGN

A cross-sectional and longitudinal analysis using data from the Spanish cohort of the Frailtools project.

SETTING

Nursing homes, primary care clinics, geriatric inpatient wards, and outpatient clinics.

PARTICIPANTS

245 older adults (mean age 82 ± 4.6 years, 64% women).

MEASUREMENTS

MP measures were estimated using the five-time sit-to-stand (5STS) test and validated equations to obtain absolute (AMP), relative to body weight (RMP), and allometric (ALMP) values. Frailty was evaluated using eight scales, including the Frailty Phenotype and the Frailty Trait Scale. The incidence of adverse events (e.g., frailty, hospitalization, falls, and disability) was recorded over 12 months.

RESULTS

Frailty prevalence varied significantly across scales and settings, with the lowest rates observed in primary care and the highest in nursing homes. Cross-sectional analysis revealed significant associations between all MP measures and frailty for most scales. RMP demonstrated the strongest associations, particularly with the Frailty Trait Scale-5 and FRAIL scale, across primary care, nursing homes, and outpatient clinics. Longitudinally, RMP was significantly associated with incident frailty and several adverse events, including hospitalizations (AUC: 0.71) and disability in activities of daily living (AUC: 0.71). Sex-specific MP cut-off points were identified for predicting health events. No significant differences were observed among MP measurements.

CONCLUSION

Lower-limb MP is a valid clinical biomarker associated with frailty and negative health events in older adults. The degree of associations varied according to frailty scale and clinical context, but no significant differences were observed when we compared their predictive ability. The proposed MP cut-off points may enhance frailty assessment and screening, particularly in primary care, nursing homes, and outpatient clinics. These findings highlight the clinical potential of incorporating MP measures into frailty tools and stress the need for further research to refine age-specific cut-off points and explore the influence of body composition.

The Implementation of Frailty Assessment Tools in the Acute Care Setting: A Scoping Review

BACKGROUND

Frailty is a syndrome of increased vulnerability to health stressors that is associated with adverse health outcomes. There is no universally accepted method of measuring frailty, and choosing among the many tools is often confusing for clinicians. Moreover, the acute care setting presents unique challenges to the operationalization of frailty measurement, and implementation into daily clinical practice has been variable. The objective of this scoping review was to map out and synthesize how frailty is being measured and used in the acute care setting.

METHODS

We used Arksey and O'Malley's methodological framework for scoping reviews. We searched MEDLINE, EMBASE, CINAHL, SCOPUS, and Google Scholar for primary studies assessing frailty in the acute care setting from inception to May 2023.

RESULTS

Our search resulted in 8834 articles, of which 2554 met inclusion criteria. Most articles (75%) were published in the last 5 years. The top three most frequently used methods of frailty measurement were the Frailty Index (41.0%), the Clinical Frailty Scale (23.3%), and the Fried Frailty Phenotype (9.3%). More than one frailty assessment tool was used in 11.2% of studies. While 99.6% of studies measured frailty assessment to evaluate the association of frailty with adverse outcomes or the validity of specific frailty tools, only 0.4% measured frailty to prospectively adapt healthcare provision.

CONCLUSION

There is an abundance of evidence demonstrating that frailty in acute care is associated with adverse health outcomes, with relatively scarce evidence on the effect of frailty assessment on prospectively adapting care. Future research focusing on the prospective management of frailty in acute care is needed.

Impact of Frailty in Patients With Continuous-Flow Left Ventricular Assist Device Therapy in End-Stage Heart Failure: A Systematic Review and Meta-Analysis

BACKGROUND

Frailty, marked by increased vulnerability and reduced physiological reserve, is common in end-stage heart failure patients. Continuous flow left ventricular assist devices (LVADs) have improved outcomes, but the impact of frailty on these outcomes is unclear. This systematic review and meta-analysis investigate the effect of frailty on clinical outcomes in patients undergoing LVAD therapy.

METHODS

Following PRISMA guidelines, we searched PubMed, Cochrane, EMBASE, MEDLINE, and Google Scholar up to September 2023 for studies comparing frail and non-frail patients undergoing LVAD implantation. Data on mortality, hospital length of stay, intubation duration, bleeding, infection, and readmission rates were extracted and analyzed using the Mantel-Haenszel random-effects model, with heterogeneity assessed by the I2 statistic.

RESULTS

Fifteen studies involving 3458 patients were included. Frailty was significantly associated with higher long-term mortality (OR: 2.12; 95% CI: 1.17-3.83; p = 0.01), but not with short-term mortality (OR: 1.61; 95% CI: 0.71-3.65; p = 0.26), hospital length of stay (MD: 1.93; 95% CI: -9.83 to 13.68; p = 0.75), or intubation duration (MD: 34.28; 95% CI: -1.15-69.71; p = 0.06). No significant differences were found in bleeding (OR: 1.76; 95% CI: 0.76-4.10; p = 0.19), infection (OR: 0.44; 95% CI: 0.11-1.84; p = 0.26), or readmission rates (OR: 1.07; 95% CI: 0.78-1.46; p = 0.68).

CONCLUSION

Frail patients with LVADs have higher long-term mortality but similar short-term outcomes, hospital stays, intubation times, bleeding, infection, and readmission rates compared to non-frail patients. These findings highlight the need for tailored strategies to improve outcomes in frail LVAD patients and suggest further research on frailty interventions.

Neuroimaging Findings in Nondemented Frail Individuals: A Systematic Review

BACKGROUND

Frailty is a chronic condition characterised by the progressive decline of multiple physiological functions. There is a critical need to investigate neuroimaging findings in nondemented frail individuals to better understand the underlying mechanisms and implications of frailty on brain health. This paper is aimed at reviewing neuroimaging studies assessing brain changes in nondemented frail individuals to understand the neuropsychological basis of frailty.

METHODS

A systematic review was conducted on studies focusing on neuroimaging modalities in frailty, including MRI, fMRI, DTI and PET. The review was based on PRISMA instructions and a two-step screening process. The studies evaluating neuroimaging findings of nondemented frail individuals, regardless of publication time or participant age, were included. Data were extracted from the included studies, and the quality of the studies as well as risk of bias was assessed.

RESULTS

Out of 1604 studies screened, 22 eligible studies were included. Out of these, 10 studies had good quality, while others had fair quality according to the Newcastle Ottawa scale (NOS). Of these studies, 18 used Fried criteria or a modified version of it to diagnose frailty, while the Edmonton frailty score (EFS), Rockwood and Mitnitski frailty index and frailty index (FI) were implemented by the remaining studies. The MRI findings indicated significant differences in brain structure between nondemented frail and robust individuals, including an increased number and size of white matter hyperintensities, reduced grey matter volume, higher cerebrospinal fluid (CSF) volume and increased number of cerebral microbleeds (CMBs) in frail participants compared to the robust ones. The studies showed no significant difference between at-risk and robust groups regarding total intracranial volume (TIV). The number of CMBs was associated with prefrailty status and its severity. fMRI studies showed decreased intranetwork mean functional connectivity (FC) in nondemented frail individuals. DTI studies showed lower fractional anisotropy (FA), higher axial diffusivity (AD) and higher radial diffusivity (RD) in the nondemented frail group. The PET scan study showed that mean cortical beta-amyloid level was not associated with FI, but the accumulation of beta-amyloid in the anterior and posterior putamen and precuneus region significantly correlated with frailty and its severity.

CONCLUSION

The study reveals significant differences in brain structures between nondemented frail and robust individuals, including increased white matter hyperintensities and reduced grey matter volume. These differences suggest that vascular changes and brain atrophy in nondemented frail individuals may contribute to cognitive impairment and dementia in the future.

Unmet Questions About Frailty in Kidney Transplant Candidates

Frailty occurs frequently among patients with advanced chronic kidney disease, especially among women. Assessing frailty in kidney transplant (KT) candidates is crucial for informing them about associated risks. However, there is poor agreement between frailty scales and research on their correlation with transplant outcomes. Being prefrail significantly impacts both graft and patient survival, often beginning with just 1 Fried criterion. Rather than viewing frailty as a categorical state, it should be regarded as a spectrum ranging from 1 to 5 criteria, with the risk of adverse outcomes escalating as frailty worsens. Frailty status fluctuates during the waiting period for KT; hence, a 1-time frailty evaluation is insufficient to determine risks and implement strategies for improving functional status. Further research should investigate the components of frailty that most frequently change during this waiting period and establish strategies to prevent or reverse frailty. Although careful evaluation of frail KT candidates is necessary to prevent early complications and mortality, exclusion based solely on a frailty score is unwarranted. Instead, efforts should focus on timely interventions to enhance their condition before transplantation. Although evidence is limited, exercise programs appear feasible and yield positive results. A pretransplant clinical framework encompassing multimodal prehabilitation-comprising physical therapy, nutritional measures, and psychological support-during the waiting list period may help alleviate the effects of frailty and poor fitness after KT, ultimately improving key outcomes. Despite logistical challenges, there is a pressing need for interventional trials in this area.

A Comparison of Patient Self-Reported Fatigue in the FRAIL Scale With a Validated Fatigue Measure

RATIONALE

The FRAIL scale is a self-administered tool used to screen for frailty in clinical, community and long-term nursing settings. Patient's self-reporting of fatigue in the FRAIL scale may raise concerns of subjectivity and accuracy in frailty assessment.

OBJECTIVE

To assess the performance of the patient-reported fatigue measure in the FRAIL scale in comparison to a validated fatigue measure, the Fatigue Severity Scale (FSS).

METHODS

We conducted a cross-sectional study involving interviews and medical records review. Participants were 55 years and older seen at an ambulatory geriatric osteoporosis clinic. Participants were administered the FRAIL scale and the FSS over the phone or in person. Patient self-reported fatigue was derived from the first item (Are you fatigued?) on the FRAIL scale while the FSS provided a validated fatigue measure. Clinical and demographic data were obtained by review of medical records. Sensitivity, specificity, negative and positive predictive values, and AUC were estimated for patient self-reported fatigue from the FRAIL scale using the FSS as the gold standard. Logistic regression analysis was used to investigate independent associations between the items on the FRAIL scale and fatigue assessed by the FSS, adjusting for demographic and clinical characteristics.

RESULTS

We interviewed 126 participants, mean age was 77.2 ± 8.5 years, 91.3% (116) were female and 69.3% (88) were Caucasian/White. The prevalence of fatigue assessed by the FSS and the FRAIL scale were 24% and 34.6%, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of patient-reported fatigue were 0.67, 0.75, 0.45, and 0.88, respectively. The AUC was 0.71. Depression (OR = 2.41, 95% CI = 1.14-10.25) and patient self-reported fatigue (OR = 4.74, 95% CI = 1.74-12.9) were significantly associated with FSS fatigue measure.

CONCLUSION

Patient-reported fatigue largely reflects validated measure of fatigue. Physicians should therefore be encouraged to use the FRAIL scale to assess frailty.

Influence of frailty status on the incidence of intraoperative hypotensive events in elective surgery: Hypo-Frail, a single-centre retrospective cohort study

BACKGROUND

Frailty is a predictor of morbidity and mortality in older patients. This study aimed to investigate the influence of frailty status on likelihood, rate, duration, and severity of intraoperative hypotension (IOH), which can lead to severe organ dysfunction.

METHODS

Surgical patients (≥70 yr old) with preoperative frailty assessment were analysed retrospectively. Frailty status was defined as robust, prefrail, or frail based on modified Fried criteria. IOH was defined as mean arterial pressure <65 mm Hg. For likelihood, rate, duration, and severity of IOH, logistic and Poisson regression were used.

RESULTS

We included 2495 patients. There was no significant difference in likelihood of IOH. An increase of 9% in rate of IOH during surgery for prefrail (incidence rate ratio [IRR] 1.09 [95% CI 1.03-1.16], P=0.002), and 16% increase for frail patients (IRR 1.16 [1.04-1.29], P=0.007) was observed. During anaesthesia induction, prefrail patients exhibited a 28% increase in IOH (IRR 1.28 [1.12-1.47], P<0.001). Although there were no differences in the severity of IOH if surgery or anaesthesia induction duration was taken into account, frailty status was associated with a 15% longer time-weighted duration of IOH during anaesthesia induction (IRR 1.15 [1.06-1.24], P=0.001). Mediator analysis revealed that frailty status accounted for >90% after considering number of measured blood pressures and surgical duration and >70% after accounting for total propofol dose.

CONCLUSIONS

Prefrail and frail patients aged ≥70 yr experienced up to 16% more IOH during surgery and 28% more during anaesthesia induction compared with robust patients. Preoperative optimisation (prehabilitation) and modification of intraoperative management (e.g. invasive blood pressure management) have the potential to reduce IOH in prefrail and frail patients.

The association of frailty with morbidity and mortality following major mucosal head and neck surgery

OBJECTIVES

Frailty refers to a state of reduced physiological reserve and functional decline. We sought to analyse whether frailty, assessed using the 5-item modified frailty index (5mFI), was associated with increased morbidity and mortality following major mucosal head and neck surgery.

MATERIALS AND METHODS

We performed a retrospective study of patients undergoing major mucosal head and neck surgical resection over a 2-year period. Potential confounding variables were controlled by way of multivariable regression analysis.

RESULTS

There were 310 patients included with 77 (24.8 %) classified as frail. Most patients were male (219/310, 70.7 %), had a history of smoking (246/310, 79.4 %) and 151 patients (48.7 %) were older than 65 at time of surgery. Most surgeries related to oral cavity or oropharyngeal subsites (227/310, 73.2 %) and 150 patients (48.4 %) underwent microvascular free tissue reconstruction. On multivariable analysis, frail patients were more likely to suffer adverse outcomes such as a return to theatre (OR 3.47, 95 % CI 1.82-6.62, p < 0.001), a Clavien-Dindo grade IV complication (OR 6.23, 95 % CI 2.55-15.20, p < 0.001) or medical complications, such as respiratory complications (OR 2.61, 95 % CI 1.45-4.69; p = 0.001) or delirium (OR 5.05, 95 % CI 2.46-10.33; p < 0.001). Additionally, hospital length of stay was increased among frail patients (ß 16.46 days, 95 % CI 9.85-23.07 days; p < 0.001). Neither 90-day nor 1-year post-operative mortality was increased in frail patients.

CONCLUSION

Frailty assessed using the 5mFI was associated with greater post-operative morbidity, but not mortality following major mucosal head and neck surgery.

[PAPPS update on older people 2024]

Population aging is a global phenomenon that is increasing the proportion of older people, particularly those over 80 years old. This increase in longevity does not always translate into years of good quality of life. This document reviews the latest evidence on the main preventive activities for older adults, starting with major geriatric syndromes such as frailty, cognitive impairment, and social isolation. It evaluates direct interventions in nutrition, deprescription, and physical exercise. Additionally, for the first time, it includes an analysis of preventive activities related to suicide in older adults, coordinated with mental health promotion programs. Frailty, defined as the progressive deterioration of physiological systems, is a significant predictor of adverse health events and is considered potentially reversible, especially in its early stages. The diagnosis and management of frailty through comprehensive geriatric assessment (CGA) and the implementation of specific interventions such as multicomponent exercise, adequate nutrition, and medication review are key to improving the functionality and quality of life of older adults.

Effects of Monitoring Frailty Through a Mobile/Web-Based Application and a Sensor Kit to Prevent Functional Decline in Frail and Prefrail Older Adults: FACET (Frailty Care and Well Function) Pilot Randomized Controlled Trial

BACKGROUND

Frailty represents a state of susceptibility to stressors and constitutes a dynamic process. Untreated, this state can progress to disability. Hence, timely detection of alterations in patients' frailty status is imperative to institute prompt clinical interventions and impede frailty progression. With this aim, the FACET (Frailty Care and Well Function) technological ecosystem was developed to provide clinically gathered data from the home to a medical team for early intervention.

OBJECTIVE

The aim of this study was to assess whether the FACET technological ecosystem prevents frailty progression and improves frailty status, according to the frailty phenotype criteria and Frailty Trait Scale-5 items (FTS-5) at 3 and 6 months of follow-up.

METHODS

This randomized clinical trial involved 90 older adults aged ≥70 years meeting 2 or more Fried frailty phenotype criteria, having 4 or more comorbidities, and having supervision at home. This study was conducted between August 2018 and June 2019 at the geriatrics outpatient clinics in Getafe University Hospital and Albacete University Hospital. Participants were randomized into a control group receiving standard treatment and the intervention group receiving standard treatment along with the FACET home monitoring system. The system monitored functional tests at home (gait speed, chair stand test, frailty status, and weight). Outcomes were assessed using multivariate linear regression models for continuous response and multivariate logistic models for dichotomous response. P values less than .05 were considered statistically significant.

RESULTS

The mean age of the participants was 82.33 years, with 28% (25/90) being males. Participants allocated to the intervention group showed a 74% reduction in the risk of deterioration in the FTS-5 score (P=.04) and 92% lower likelihood of worsening by 1 point according to Fried frailty phenotype criteria compared to the control group (P=.02) at 6 months of follow-up. Frailty status, when assessed through FTS-5, improved in the intervention group at 3 months (P=.004) and 6 months (P=.047), while when the frailty phenotype criteria were used, benefits were shown at 3 months of follow-up (P=.03) but not at 6 months.

CONCLUSIONS

The FACET technological ecosystem helps in the early identification of changes in the functional status of prefrail and frail older adults, facilitating prompt clinical interventions, thereby improving health outcomes in terms of frailty and functional status and potentially preventing disability and dependency.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03707145; https://clinicaltrials.gov/study/NCT03707145.

Not All Frailty Assessments Are Created Equal: Comparability of Electronic Health Data-Based Frailty Assessments in Assessing Older People in Residential Care

Objectives: To evaluate the comparability of frailty assessment tools - the electronic frailty index (eFI), retrospective electronic frailty index (reFI), and clinical frailty scale (CFS) - in older residents of care facilities. Methods: Data from 813 individuals aged 65 or older, with frailty and co-morbidities, collected between 2022 and 2023, were analysed using various statistical methods. Results: The results showed significant differences in frailty classification among the tools: 78.3% were identified as moderately to severely frail by eFI, 59.6% by reFI, and 92.1% by CFS. Statistical tests confirmed significant differences (p < .05) in their assessments, indicating variability in measurement methods. Discussion: This study advances the understanding of frailty assessment within aged-care settings, highlighting the differences in the efficacy of these assessment tools. It underscores the challenges in frailty assessments and emphasizes the need for continuous refinement of assessment methods to address the diverse facets of frailty in aged care.

Treatment of unresectable stage III non-small cell lung cancer for patients who are under-represented in clinical trials

Concurrent chemoradiotherapy (cCRT) followed by one year of consolidation durvalumab is the current standard-of-care for patients with unresectable stage III non-small cell lung cancer (NSCLC), of good functional status. However, cCRT and consolidation durvalumab may be challenging to administer for selected patient populations underrepresented or even excluded in clinical trials: older and/or frail patients; those with cardiovascular or respiratory comorbidities in which treatment-related adverse events may be higher, and patients with pre-existing autoimmune disorders for whom immunotherapy use is controversial. In this narrative review, we discuss the current evidence, challenges, ongoing clinical trials and potential future treatment scenarios in relevant subgroups of patients with locally advanced NSCLC, who are underrepresented in clinical trials.

Frailty and biological age. Which best describes our aging and longevity?

Frailty and Biological Age are two closely related concepts; however, frailty is a multisystem geriatric syndrome that applies to elderly subjects, whereas biological age is a gerontologic way to describe the rate of aging of each individual, which can be used from the beginning of the aging process, in adulthood. If frailty reaches less consensus on the definition, it is a term much more widely used than this of biological age, which shows a clearer definition but is scarcely employed in social and medical fields. In this review, we suggest that this Biological Age is the best to describe how we are aging and determine our longevity, and several examples support our proposal.

Diabetic Sarcopenia. A proposed muscle screening protocol in people with diabetes : Expert document

OBJECTIVES

To propose the grounds for "diabetic sarcopenia" as a new comorbidity of diabetes, and to establish a muscle screening algorithm proposal to facilitate its diagnosis and staging in clinical practice.

METHOD

A qualitative expert opinion study was carried out using the nominal technique. A literature search was performed with the terms "screening" or "diagnostic criteria" and "muscle loss" or "sarcopenia" and "diabetes" that was sent to a multidisciplinary group of 7 experts who, in a face-to-face meeting, discussed various aspects of the screening algorithm.

RESULTS

The hallmark of diabetic sarcopenia (DS) is muscle mass atrophy characteristic of people with diabetes mellitus (DM) in contrast to the histological and physiological normality of muscle mass. The target population to be screened was defined as patients with DM with a SARC-F questionnaire > 4, glycosylated haemoglobin (HbA1C) ≥ 8.0%, more than 5 years since onset of DM, taking sulfonylureas, glinides and sodium/glucose cotransporter inhibitors (SGLT2), as well as presence of chronic complications of diabetes or clinical suspicion of sarcopenia. Diagnosis was based on the presence of criteria of low muscle strength (probable sarcopenia) and low muscle mass (confirmed sarcopenia) using methods available in any clinical consultation room, such as dynamometry, the chair stand test, and Body Mass Index (BMI)-adjusted calf circumference. DS was classified into 4 stages: Stage I corresponds to sarcopenic patients with no other diabetes complication, and Stage II corresponds to patients with some type of involvement. Within Stage II are three sublevels (a, b and c). Stage IIa refers to individuals with sarcopenic diabetes and some diabetes-specific impairment, IIb to sarcopenia with functional impairment, and IIc to sarcopenia with diabetes complications and changes in function measured using standard tests Conclusion: Diabetic sarcopenia has a significant impact on function and quality of life in people with type 2 diabetes mellitus (T2DM), and it is important to give it the same attention as all other traditionally described complications of T2DM. This document aims to establish the foundation for protocolising the screening and diagnosis of diabetic sarcopenia in a manner that is simple and accessible for all levels of healthcare.

Evaluation of frailty in geriatric patients undergoing cardiac rehabilitation after cardiac procedure: results of a prospective, cross-sectional study

BACKGROUND

Frailty is an indicator of a decline in quality of life and functional capacity in cardiac rehabilitation (CR) patients. Currently, there is no standardized assessment tool for frailty used in CR. The aim of this study was to determine if the Clinical Frailty Scale (CFS) is feasible for assessing frailty in CR.

METHODS

Prospective, cross-sectional study within the framework of the ongoing multicenter prehabilitation study "PRECOVERY". Patients ≥75 years undergoing CR after cardiac procedure (n=122) were recruited in four German inpatient CR facilities. Assessments included: CFS, Katz-Index, hand grip strength (HGS), Short Physical Performance Battery (SPPB) and six-minute-walk test (6MWT). Outcomes were frailty (CFS≥4) and the correlation of frailty with assessments of functional capacity, activities of daily living and clinical parameters. Statistical analysis included descriptive statistics and correlations, using the spearman correlation coefficient and chi-square test to test for significance.

RESULTS

Data from 101 patients (79.9±4.0 years; 63% male) were analyzed. The mean CFS score was 3.2±1.4; 41.6% were defined as frail (CFS≥4). The mean time required to assess the CFS was 0.20 minutes. The findings show that CFS correlates significantly (p<0.001) with the following factors: Katz-Index, HGS, SPPB-Score and 6MWT (r≤-0.575). In addition, CFS correlated with small to moderate effects with co-morbidities (r=0.250), as-needed medications and need for nursing assistance (r≤0.248).

CONCLUSIONS

The CFS assessment can be performed in under one minute and it correlates significantly with assessments of functional capacity, activities of daily living and clinical parameters in the CR setting.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS; http:// www. drks. de; DRKS00032256). Retrospectively registered on 13 July 2023.

Prognostic value of defining characteristics in frail elderly syndrome: Hospital readmission and mortality outcomes

OBJECTIVE

To identify the most relevant clinical characteristics of the nursing diagnosis frail elderly syndrome (FES) in hospitalized patients aged 65 or older and analyze their impact on 9-month mortality and hospital readmission.

METHODS

A prospective and prognostic accuracy study was conducted in patients aged 65 or older, who were admitted to hospital more than 24 h. A consecutive convenience sampling process was used. Assessment included defining characteristics (DCs) of FES, clinical fraility scale (CFS), frail scale (FS), and 9-month mortality and hospital readmission. Statistical tests were used to verify associations between variables. Binary logistic regression analysis and area under the curve were used, to identify significant predictors for the outcomes and evaluate the prognostic accuracy of the DCs.

FINDINGS

This study involved 150 patients. CFS scored 65 patients (43.3%, confidence interval 95% 35.2% a 51.6) as frail and proved a prognostic value of mortality at 9 month from pre-frail state (p = 0.020). The mean number of DCs for FES nursing diagnosis was 6.35 (SD = 3.14). Validated tools for measuring frailty were associated with all DCs, excepting nutritional imbalance: below body needs. The hospital readmission during the following 9 months was only statistically related to memory impairment (p = 0.07).

CONCLUSION

Clinical frailty scale showed good results as a predictor of mortality. The study suggests exploring including it, in clinical manifestations of elderly frail syndrome. This study found that only memory impairment defining characteristic was predictive of hospital readmission. Further research should identify other relevant and prognostic clinical manifestations.

IMPLICATION FOR NURSING PRACTICE

These findings highlight the importance of being vigilant on cognitive decline during hospital admissions. The most prevalent and determinant DCs identified in this study indicate that clinical should focus on preserving functional and mental abilities as well as mobility.

Frequency of use and characterization of frailty assessments in observational studies on older women with breast cancer: a systematic review

BACKGROUND

Breast cancer and frailty frequently co-occur in older women, and frailty status has been shown to predict negative health outcomes. However, the extent to which frailty assessments are utilized in observational research for the older breast cancer population is uncertain. Therefore, the aim of this review was to determine the frequency of use of frailty assessments in studies investigating survival or mortality, and characterize them, concentrating on literature from the past 5 years (2017-2022).

METHODS

MEDLINE, EMBASE and Cochrane Library were systematically queried to identify observational studies (case-control, cohort, cross-sectional) published from 2017-2022 that focus on older females (≥ 65 years) diagnosed with breast cancer, and which evaluate survival or mortality outcomes. Independent reviewers assessed the studies for eligibility using Covidence software. Extracted data included characteristics of each study as well as information on study design, study population, frailty assessments, and related health status assessments. Risk of bias was evaluated using the appropriate JBI tool. Information was cleaned, classified, and tabulated into review level summaries.

RESULTS

In total, 9823 studies were screened for inclusion. One-hundred and thirty studies were included in the final synthesis. Only 11 (8.5%) of these studies made use of a frailty assessment, of which 4 (3.1%) quantified frailty levels in their study population, at baseline. Characterization of frailty assessments demonstrated that there is a large variation in terms of frailty definitions and resulting patient classification (i.e., fit, pre-frail, frail). In the four studies that quantified frailty, the percentage of individuals classified as pre-frail and frail ranged from 18% to 29% and 0.7% to 21%, respectively. Identified frailty assessments included the Balducci score, the Geriatric 8 tool, the Adapted Searle Deficits Accumulation Frailty index, the Faurot Frailty index, and the Mian Deficits of Accumulation Frailty Index, among others. The Charlson Comorbidity Index was the most used alternative health status assessment, employed in 56.9% of all 130 studies. Surprisingly, 31.5% of all studies did not make use of any health status assessments.

CONCLUSION

Few observational studies examining mortality or survival outcomes in older women with breast cancer incorporate frailty assessments. Additionally, there is significant variation in definitions of frailty and classification of patients. While comorbidity assessments were more frequently included, the pivotal role of frailty for patient-centered decision-making in clinical practice, especially regarding treatment effectiveness and tolerance, necessitates more deliberate attention. Addressing this oversight more explicitly could enhance our ability to interpret observational research in older cancer patients.

Biomarkers of frailty

Several biomarkers have been proposed to identify frailty, a multisystemic age-related syndrome. However, the complex pathophysiology and the absence of a consensus on a comprehensive and universal definition make it challenging to pinpoint a singular biomarker or set of biomarkers that conclusively characterize frailty. This review delves into the main laboratory biomarkers, placing special emphasis on those associated with various pathways closely tied to the frailty condition, such as inflammation, oxidative stress, mitochondrial dysfunction, metabolic and endocrine alterations and microRNA. Additionally, we provide a summary of different clinical biomarkers encompassing different tools that have been proposed to assess frailty. We further address various imaging biomarkers such as Dual Energy X-ray Absorptiometry, Bioelectrical Impedance analysis, Computed Tomography and Magnetic Resonance Imaging, Ultrasound and D3 Creatine dilution. Intervention to treat frailty, including non-pharmacological ones, especially those involving physical exercise and nutrition, and pharmacological interventions, that include those targeting specific mechanisms such as myostatin inhibitors, insulin sensitizer metformin and with special relevance for hormonal treatments are mentioned. We further address the levels of different biomarkers in monitoring the potential positive effects of some of these interventions. Despite the availability of numerous biomarkers, their performance and usefulness in the clinical arena are far from being satisfactory. Considering the multicausality of frailty, there is an increasing need to assess the role of sets of biomarkers and the combination between laboratory, clinical and image biomarkers, in terms of sensitivity, specificity and predictive values for the diagnosis and prognosis of the different outcomes of frailty to improve detection and monitoring of older people with frailty or at risk of developing it, being this a need in the everyday clinical practice.

Relationship of endogenous plasma concentrations of β-hydroxy β-methyl butyrate (HMB) with frailty in community dwelling older adults with type-2 diabetes mellitus

BACKGROUND

Supplementation with β-hydroxy β-methyl butyrate (HMB) appears to be effective in preserving muscle in older adults. However, the association between endogenously produced HMB with frailty has not been studied in people with chronic disease.

OBJECTIVES

The purpose of this study is to explore whether an association exists between endogenous HMB levels and frailty status in older adults with type-2 diabetes mellitus (T2DM).

METHODS

Data were taken from the Toledo Study of Healthy Ageing, a community-dwelling aged (65 years+) cohort. Frailty was assessed at baseline and at 2.99 median years according to the Frailty Phenotype (FP) standardized to our population and the Frailty Trait Scale 12 (FTS12). The associations between HMB levels and frailty were assessed using three nested multivariate logistic regressions and segmented by sex. Glucose, HMB and glucose interaction, age and body composition were used as covariables.

RESULTS

255 participants (mean age 75.3 years, 52.94% men) were included. HMB levels showed an inverse cross-sectional association with frailty, which was modified when the interaction term HMB*glucose was included, remaining significant only for FTS12 [OR (95% CI): 0.436 (0.253, 0.751), p-value 0.003]. The association between HMB endogenous levels and FTS12 appears to be independent of sex, in which the association was maintained after adjusting for the covariates. However, there appears to be threshold points for glucose levels, above which the protective effect of HMB is lost: 145.4 mg/dl adjusted by gender for the whole sample and 149.6 mg/dl and 138.9 mg/dl for men and women, respectively. Endogenous HMB levels were not found to be associated with incident frailty.

CONCLUSIONS

Cross-sectional analysis revealed that endogenous HMB levels were inversely associated with frailty as assessed by the FTS12 in older people with T2DM. This association was found to be dependent on circulating fasted glucose levels.

Impact of Frailty on Heart Failure Prognosis: Is Sex Relevant?

PURPOSE OF REVIEW

Heart failure (HF) is one of the most frequent causes of hospital admission in elderly patients, especially in women, who present a high prevalence of geriatric syndromes like frailty. Studies have suggested that frailty and its impact may also differ between males and females. Understanding how frailty may differently affect HF patients depending on sex is therefore imperative for providing personalized care. The aim of this review is to summarize the role of sex in the prognostic impact of frailty in HF patients.

RECENT FINDINGS

Numerous studies have identified frailty as a significant predictor of all-cause mortality and hospital readmissions. A recent study of elderly HF out-patients demonstrated that while women had a higher prevalence of frailty, it was an independent predictor of mortality and readmission only in men. Moreover, another study revealed that physical frailty was associated with time to first clinical event among men but not among women. These results raise the question about why frailty affects differently HF prognosis in men and women. Women with HF present a higher prevalence of frailty, especially when it is considered as physical decline. Nevertheless, frailty affects differently HF prognosis in men and women. Women with HF present lower mortality than men and frailty is related with prognosis only in men. The different severity of HF between men and women and other hormonal, psychosocial, and clinical factors might be involved in this fact.

Development of Continuous Assessment of Muscle Quality and Frailty in Older Patients Using Multiparametric Combinations of Ultrasound and Blood Biomarkers: Protocol for the ECOFRAIL Study

BACKGROUND

Frailty resulting from the loss of muscle quality can potentially be delayed through early detection and physical exercise interventions. There is a demand for cost-effective tools for the objective evaluation of muscle quality, in both cross-sectional and longitudinal assessments. Literature suggests that quantitative analysis of ultrasound data captures morphometric, compositional, and microstructural muscle properties, while biological assays derived from blood samples are associated with functional information.

OBJECTIVE

This study aims to assess multiparametric combinations of ultrasound and blood-based biomarkers to offer a cross-sectional evaluation of the patient frailty phenotype and to track changes in muscle quality associated with supervised exercise programs.

METHODS

This prospective observational multicenter study will include patients aged 70 years and older who are capable of providing informed consent. We aim to recruit 100 patients from hospital environments and 100 from primary care facilities. Each patient will undergo at least two examinations (baseline and follow-up), totaling a minimum of 400 examinations. In hospital environments, 50 patients will be measured before/after a 16-week individualized and supervised exercise program, while another 50 patients will be followed up after the same period without intervention. Primary care patients will undergo a 1-year follow-up evaluation. The primary objective is to compare cross-sectional evaluations of physical performance, functional capacity, body composition, and derived scales of sarcopenia and frailty with biomarker combinations obtained from muscle ultrasound and blood-based assays. We will analyze ultrasound raw data obtained with a point-of-care device, along with a set of biomarkers previously associated with frailty, using quantitative real-time polymerase chain reaction and enzyme-linked immunosorbent assay. Additionally, we will examine the sensitivity of these biomarkers to detect short-term muscle quality changes and functional improvement after a supervised exercise intervention compared with usual care.

RESULTS

At the time of manuscript submission, the enrollment of volunteers is ongoing. Recruitment started on March 1, 2022, and ends on June 30, 2024.

CONCLUSIONS

The outlined study protocol will integrate portable technologies, using quantitative muscle ultrasound and blood biomarkers, to facilitate an objective cross-sectional assessment of muscle quality in both hospital and primary care settings. The primary objective is to generate data that can be used to explore associations between biomarker combinations and the cross-sectional clinical assessment of frailty and sarcopenia. Additionally, the study aims to investigate musculoskeletal changes following multicomponent physical exercise programs.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05294757; https://clinicaltrials.gov/ct2/show/NCT05294757.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/50325.

Frailty assessment tools in the emergency department: A geriatric emergency department guidelines 2.0 scoping review

Objective

Given the aging population and growing burden of frailty, we conducted this scoping review to describe the available literature regarding the use and impact of frailty assessment tools in the assessment and care of emergency department (ED) patients older than 60 years.

Methods

A search was made of the available literature using the Covidence system using various search terms. Inclusion criteria comprised peer-reviewed literature focusing on frailty screening tools used for a geriatric population (60+ years of age) presenting to EDs. An additional search of PubMed, EBSCO, and CINAHL for articles published in the last 5 years was conducted toward the end of the review process (January 2023) to search specifically for literature describing interventions for frailty, yielding additional articles for review. Exclusion criteria comprised articles focusing on an age category other than geriatric and care environments outside the emergency care setting.

Results

A total of 135 articles were screened for inclusion and 48 duplicates were removed. Of the 87 remaining articles, 20 were deemed irrelevant, leaving 67 articles for full-text review. Twenty-eight were excluded for not meeting inclusion criteria, leaving 39 full-text studies. Use of frailty screening tools were reported in the triage, care, and discharge decision-making phases of the ED care trajectory, with varying reports of usefulness for clinical decision-making.

Conclusion

The literature reports tools, scales, and instruments for identifying frailty in older patients at ED triage; multiple frailty scores or tools exist with varying levels of utilization. Interventions for frailty directed at the ED environment were scant. Further research is needed to determine the usefulness of frailty identification in the context of emergency care, the effects of care delivery interventions or educational initiatives for front-line medical professionals on patient-oriented outcomes, and to ensure these initiatives are acceptable for patients.

Effectiveness of a randomized intervention by a geriatric team in frail hospital inpatients in non-geriatric settings: FRAILCLINIC project

BACKGROUND

Little research has been undertaken on the benefits of frailty management within different hospital settings. The objective of this study is to provide evidence on the viability and effectiveness of frailty management in non-geriatric hospital settings on mortality and functional decline after discharge.

METHODS

Data from the FRAILCLINIC (NCT02643069) study were used. FRAILCLINIC is a randomized controlled trial developed in non-geriatric hospital inpatient settings (emergency room, cardiology and surgery) from Spain (2), Italy (2) and the United Kingdom (1). Inpatients must met frailty criteria (according to the Frailty Phenotype and/or FRAIL scale), ≥75 years old. The control group (CG) received usual care. The intervention group (IG) received comprehensive geriatric assessment (CGA) and a coordinated intervention consisting in recommendations to the treating physician about polypharmacy, delirium, falls, nutrition and physical exercise plus a discharge plan. The main outcomes included functional decline (worsening ≥5 points in Barthel Index) and mortality at 3 months. We used multivariate logistic regression models adjusted by age, gender and the Charlson index. Intention-to-treat (ITT) and per-protocol (PP) analyses were used.

RESULTS

Eight hundred twenty one participants (IG: 416; mean age 83.00 ± 4.91; 51.44% women; CG: 405; mean age 82.46 ± 6.03; 52.35% women) were included. In the IG, 77.16% of the participants followed the geriatric team's recommendations as implemented by the treating physicians. The intervention showed a benefit on functional decline and mortality [OR: 0.67(0.47-0.96), P-value 0.027 and 0.29(0.14-0.57), P-value < 0.001, respectively) when fully followed by the treating physician. A trend to benefit (close to statistical significance) in functional decline and mortality were also observed when any of the recommendations were not followed [OR (95% CI): 0.72 (0.51-1.01), P-value: 0.055; and 0.64 (0.37-1.10), P-value: 0.105, respectively].

CONCLUSIONS

An individualized intervention in frail in-patients reduces the risk of functional deterioration and mortality at 3 months of follow-up when a care management plan is designed and followed.

Frailty detection in older adults via fractal analysis of acceleration signals from wrist-worn sensors

Purpose

Frailty is a reversible multidimensional syndrome that puts older people at a high risk of adverse health outcomes. It has been proposed to emerge from the dysregulation of the complex system dynamics of physiologic control systems. We propose the analysis of the fractal complexity of hand movements as a new method to detect frailty in older adults.

Methods

FRAIL scale and Fried's phenotype scores were calculated for 1209 subjects-72.4 (5.2) y.o. 569 women-and 1279 subjects-72.6 (5.3) y.o. 604 women-in the pubicly available NHANES 2011-2014 data set, respectively. The fractal complexity of their hand movements was assessed with a detrended fluctuation analysis (DFA) of their accelerometry records and a logistic regression model for frailty detection was fit.

Results

Goodness-of-fit to a power law was excellent (R2 > 0.98 ). The association between complexity loss and frailty level was significant, Kruskal-Wallis test (df = 2, Chisq = 27.545, p-value < 0.001 ). The AUC of the logistic classifier was moderate (AUC with complexity = 0.69 vs. AUC without complexity = 0.67).

Conclusion

Frailty can be characterized in this data set with the Fried phenotype. Non-dominant hand movements in free-living conditions are fractal processes regardless of age or frailty level and its complexity can be quantified with the exponent of a power law. Higher levels of complexity loss are associated with higher levels of frailty. This association is not strong enough to justify the use of complexity loss after adjusting for sex, age, and multimorbidity.

The association between patients' frailty status, multimorbidity, and demographic characteristics and changes in primary care for chronic conditions during the COVID-19 pandemic: a pre-post study

BACKGROUND

The purpose of this study was to assess the impact of SARS-COV-2 (Severe acute respiratory syndrome coronavirus 2) pandemic on primary care management (frequency of monitoring activities, regular prescriptions, and test results) of older adults with common chronic conditions (diabetes, hypertension, and chronic kidney disease) and to examine whether any changes were associated with age, sex, neighbourhood income, multimorbidity, and frailty.

METHODS

A research database from a sub-set of McMaster University Sentinel and Information Collaboration family practices was used to identify patients ≥65 years of age with a frailty assessment and 1 or more of the conditions. Patient demographics, chronic conditions, and chronic disease management information were retrieved. Changes from 14 months pre to 14 months since the pandemic were described and associations between patient characteristics and changes in monitoring, prescriptions, and test results were analysed using regression models.

RESULTS

The mean age of the 658 patients was 75 years. While the frequency of monitoring activities and prescriptions related to chronic conditions decreased overall, there were no clear trends across sub-groups of age, sex, frailty level, neighbourhood income, or number of conditions. The mean values of disease monitoring parameters (e.g. blood pressure) did not considerably change. The only significant regression model demonstrated that when controlling for all other variables, patients with 2 chronic conditions and those with 4 or more conditions were twice as likely to have reduced numbers of eGFR (Estimated glomerular filtration rate) measures compared to those with only 1 condition ((OR (odds ratio) = 2.40, 95% CI [1.19, 4.87]); (OR = 2.19, 95% CI [1.12, 4.25]), respectively).

CONCLUSION

In the first 14 months of the pandemic, the frequency of common elements of chronic condition care did not notably change overall or among higher-risk patients.

Fecal microbiota transplantation for recurrent Clostridioides difficile infection in frail and very old patients

BACKGROUND

Older age is a well-known risk factor for recurrent and severe Clostridioides difficile infection (CDI). Fecal microbiota transplantation (FMT) is widely recognized as an effective and safe therapeutic option for the treatment of recurrent CDI (rCDI). However, the efficacy and safety of FMT for rCDI in very old patients are uncertain. This study evaluated the efficacy and safety of FMT in a group of very old subjects with rCDI, and the reliability of overall comorbidity and frailty assessment for identifying patients at higher risk of worse clinical outcomes.

METHODS

This is a retrospective single-center study including patients ≥85 years undergoing FMT for rCDI between 2014 and 2022. Primary outcomes included efficacy of FMT, defined as cure of CDI at 8 week-follow-up, and safety evaluation. At baseline, comorbidity was measured with the Charlson Comorbidity Index (CCI). Frailty was measured with the Clinical Frailty Scale (CFS).

RESULTS

Overall, 43 patients with a median age of 88 years underwent FMT by colonoscopy in the study period. The rate of first FMT success was 77%. Five of the 10 patients who failed the first FMT infusion were cured after repeat FMT, with an overall efficacy of 88%. In patients with successful treatment, the CFS was significantly lower compared to those who failed the FMT or underwent repeat FMT (p < 0.01 for both). Mild adverse events occurred in 11 patients (25%). One death, not related to FMT or rCDI, occurred within 7 days from the first procedure.

CONCLUSIONS

FMT is effective and safe in very old patients. Frailty and high comorbidity do not limit use of FMT in these patients. Frailty assessment has potential to better identify patients at higher risk of worse outcomes or for repeat treatment with FMT.

Assessment of frailty in the person with type 2 diabetes mellitus: Expert analysis

INTRODUCTION

People with type 2 diabetes mellitus (DM2) have a higher prevalence of frailty compared to those without DM2. However, there is a lack of consensus on the diagnosis and clinical management of frail individuals with DM2.

OBJECTIVES

This study aims to identify limitations and current needs in the use of the frailty concept in PCDM2 (people with DM2), as well as define and evaluate the dimensions that should be included in its routine clinical assessment.

METHODS

A multidisciplinary team of eight health professionals from different hospitals in Spain participated in a process based on the nominal group technique.

RESULTS

The study identified eight limitations in the assessment of frailty in PCDM2, categorized by importance, and 10 unmet needs related to the diagnosis and follow-up of the disease. Additionally, seven dimensions were identified that should be included in the definition of frail individuals with DM2, prioritized by importance and novelty.

CONCLUSIONS

This article aims to increase knowledge and usage of the frailty concept in individuals with DM2 within the medical community. It also suggests the potential for future projects to develop a consensus definition of frailty tailored to this specific group.

Implementation and Core Components of a Multimodal Program including Exercise and Nutrition in Prevention and Treatment of Frailty in Community-Dwelling Older Adults: A Narrative Review

Increasing disability-free life expectancy is a crucial issue to optimize active ageing and to reduce the burden of evitable medical costs. One of the main challenges is to develop pragmatic and personalized prevention strategies in order to prevent frailty, counteract adverse outcomes such as falls and mobility disability, and to improve quality of life. Strong evidence reports the effectiveness of exercise interventions to improve various physical parameters and muscle function that are cornerstones of frailty. Other findings also suggest that the interactions between nutrition and physical exercise with or without health behavior promotion prevent the development of frailty. Multimodal programs, including structured exercise, adequate dietary intervention and health behavior promotion, appear increasingly consensual. However, in order for implementation in real-life settings, some pitfalls need to be addressed. In this perspective, structuring and tailoring feasible, acceptable and sustainable interventions to optimize exercise training responses are essential conditions to warrant short, medium and long-term individual benefits. The different components of exercise programs appear to be fairly consensual and effective. However, specific composition of the programs proposed (frequency, intensity, type, time, volume and progressiveness) have to be tailored to individual characteristics and objectives in order to improve exercise responses. The intervention approaches, behavioral strategies and indications for these programs also need to be refined and framed. The main objective of this work is to guide the actions of healthcare professionals and enable them to widely and effectively implement multimodal programs including exercise, nutrition and behavioral strategies in real-life settings.

Very Elderly Patients With Atrial Fibrillation Treated With Edoxaban: Impact of Frailty on Outcomes

Background

Age and frailty are associated with underuse of anticoagulation in elderly patients with atrial fibrillation (AF).

Objectives

This study aimed at assessing major clinical outcomes in very elderly patients with AF treated with recommended dose edoxaban and look for a possible relation with frailty measured by a validated score.

Methods

This prospective multicenter cohort study enrolled consecutive very elderly (age ≥80 years) anticoagulation-naïve patients starting recommended doses of edoxaban. Upon entry into the study, patients were categorized into nonfrail, prefrail and frail with the SHARE-FI (Survey of Health, Ageing, and Retirement in Europe-Frailty Index) score. The primary outcome was a composite incidence of stroke/systemic embolism, major bleeding, clinically relevant nonmajor bleeding, and death between frail and fitter patients over 2 years follow-up. Secondary outcomes were frailty-related incidence of the individual components part of the composite outcome.

Results

Of the 180 screened patients, 176 were enrolled in the study. Of these, 58 (32.9%) were frail, 35 (19.8%) prefrail, and 83 (47.2%) nonfrail. The composite outcome occurred in 49 patients (18.9% per patient-year). No difference in the primary endpoint between frail and fitter patients (incidence rate ratio: 1.2; 95% CI: 0.6-2.2) was observed. On multivariable analysis, anemia was significantly related to the primary outcome (HR: 3.6; 95% CI: 1.8-7.3; P < 0.001), while frailty was not (frail vs nonfrail HR: 0.9; 95% CI: 0.5-1.8). No difference across frailty categories of the individual components of composite events was observed, except for death.

Conclusions

Anticoagulation with recommended dose edoxaban is feasible in very elderly patients with AF even if frail. (ESCAPE [Edoxaban and Frailty in Senior Individuals]; NCT03524924).

Fear of Falling Score Is a Predictor of Falls in Community-Dwelling Pre-Frail and Frail Older People

Identifying frail older people at risk of falling is a priority in order to apply preventive strategies. This cross-sectional study included community-dwelling pre-frail and frail people (Fried's criteria) aged 70 years and older to assess the prevalence of falls and identify screening strategies based on comprehensive geriatric assessments to detect an increased risk of falling and recurrent falling in community-dwelling frail and pre-frail old people. Of the 229 participants, 121 (54.9%) had fallen in the previous 12 months, and 20 of these (16.5%) were recurrent fallers (≥2 falls). A score of 20 points or more on the Falls Efficacy Scale International was predictive of falling (area under the receiver-operating characteristics curve 0.67, 95% confidence interval: 0.61-0.74, p < 0.001) with a sensitivity of 51.7% and a specificity of 73.9%. Polypharmacy, Short Physical Performance Battery score of 8 points or less, and Falls Efficacy Scale International score of 20 points or more show an area under the curve of 0.78 (95% confidence interval: 0.67-0.89, p < 0.001) for recurrent falling.

Diagnostic Accuracy of Frailty Screening Instruments Validated for Use among Older Adults Attending Emergency Departments: A Systematic Review and Meta-Analysis

Early identification of frailty can prevent functional decline. Although multiple frailty screens exist for use in Emergency Departments (EDs), few are validated against diagnostic standards such as comprehensive geriatric assessment. To examine the diagnostic accuracy of ED screens for frailty, scientific databases were searched for prospective diagnostic accuracy test studies from January 2000 to September 2022. Studies were assessed for risk of bias using QUADAS-C. Psychometric properties were extracted and analysed using R. Six studies involving 1,663 participants describing seven frailty screening instruments (PRISMA-7, CFS, VIP, FRESH, BPQ, TRST, and ISAR), representing 13 unique data points, were included. The mean age of participants ranged from 76 to 86 years. The proportion that was female ranged from 45 to 60%. The pooled prevalence rate of frailty was high at 59%. The pooled estimate for sensitivity was 0.85 (95% CI: 0.76-0.91) versus 0.77 (95% CI: 0.62-0.88) for specificity. Pooled accuracy based on area under the ROC curve was 0.89 (95% CI: 0.86-0.90). Although few studies were found, limiting the ability to conduct a meta-analysis of individual instruments, available frailty screens can accurately diagnose frailty in older adults attending the ED. As specificity was comparatively low, additional assessment may be required to identify those requiring inpatient management or onward community referral. Further study is therefore required.

Translation of the Pictorial Fit-Frail Scale Into the Greek Language and Examination of Its Validity and Reliability

BACKGROUND

For the evaluation of frailty, a great variety of research tools are used internationally; however, only two have been translated and validated in Greek. The aim of the study was to translate the Pictorial Fit-Frail Scale (PFFS) into the Greek language and examine its validity and reliability.

METHODS

Initially, the PFFS scale was translated into the Greek language through a six-step process. Subsequently, in a sample of 157 elderly patients (47.1% women), construct validity was examined with the known-groups method using the one-way ANOVA test and criterion concurrent validity by comparison with the Clinical Frailty Scale (CFS) using Pearson's correlation coefficient. Finally, inter-rater reliability and test-retest reliability were checked using the intraclass correlation coefficient.

RESULTS

A comparison of known groups showed that older patients with greater dependence on activities of daily living, greater impairment of cognitive function, reduced mobility, balance, and swallowing disorders, as well as those who were socially withdrawn, scored higher on the PFFS scale, supporting the construct validity. The positive correlation between PFFS and CFS (r = 0.625, p ≤ 0.001) demonstrated the concurrent criterion validity of the PFFS scale. Intraclass correlation was excellent for both inter-rater reliability (0.951 (95% CI: 0.934-0.964)) and test-retest reliability (0.948 (95% CI: 0.930-0.962)).

CONCLUSION

The translated PFFS scale in Greek is a valid and reliable tool.

Association Between Pulse Wave Velocity and Frailty, Disability, and Mortality in Community-Dwelling Older Adults

Background

Arterial stiffness leads to several adverse events in the older population, but there is a lack of data on its association with frailty, disability, and mortality in the same population.

Objectives

The purpose of this study was to evaluate the role of arterial stiffness in the loss of functional ability (frailty and disability) and mortality.

Methods

Data were taken from community-dwelling aged 65 years participants without diabetes in the Toledo Study of Healthy Ageing cohort. Pulse wave velocity (PWV), assessed through SphygmoCor, was recorded at baseline. Median follow-up time were 2.99 years for frailty (frailty phenotype [FP] and Frailty Trait Scale-5 [FTS5]) and disability (Katz Index) and 6.2 for mortality. Logistic regressions models were built for disability and frailty and Cox proportional hazards model for death, adjusted by age and sex, comorbidity, cardiovascular risk factors, asymmetric dimethylarginine levels, and polypharmacy.

Results

Overall, 978 (mean age 74.5 ± 5.6 years, 56.7% female) participants were included. Different cut-off points were shown for each outcome. PWV >11.5 m/s was cross-sectionally associated with frailty (FP: OR fully-adjusted model: 1.69, 95% CI: 1.45-1.97; FTS5: OR: 1.51, 95% CI: 1.22-1.87) and disability (OR: 1.51, 95% CI: 1.26-1.79); PWV >10 m/s with incident frailty by FP (OR: 1.36, 95% CI: 1.10-1.68) and FTS5 (OR: 1.40, 95% CI: 1.12-1.75), and PWV >11 m/s with death (HR: 1.28, 95% CI: 1.09-1.50). For incident (OR: 1.28, 95% CI: 1.06-1.55) and worsening disability (OR: 1.21, 95% CI: 1.02-1.45) the threshold was 12.5 m/s. Below these cut-off points, age was the best predictor of adverse outcomes.

Conclusions

Arterial stiffness predicts frailty, disability, and mortality in older people, with different cut-off points, ie,severity degrees, for each of the assessed outcomes.

Facilitators and Barriers to Nurses Screening for Frailty in Acute Care in a Provincial Health-Care System: a Survey Study Guided by the Theoretical Domains Framework

Background

Older adults living with frailty represent the largest population of hospitalized patients in Canada, but they do not always receive the quality of care needed. Nurses are well-positioned to screen for frailty, but current frailty screening practices are poorly understood.

Methods

A cross-sectional survey study was conducted over a six-week period with nurses from Alberta, Canada working in acute care with older adults. Demographics were descriptively reported. Frailty screening methods were quantified on 5-point frequency scales, reported descriptively and compared by practice area using linear regression. The top-five mean scores from a 43-item, 6-point Likert-type questionnaire based on the Theoretical Domains Framework were compared by practice area.

Results

Frailty screening by clinical impression was "usually" used (median = 4, IQR = 4-5), while tools were "rarely" used (median = 2, IQR = 1-3). Medical and/or surgical nursing had higher general frailty screening tool use (β = 0.81, r = .31, p < .001), but no significant (p > .05) differences for using clinical impression, or preference of screening method. The top facilitator was the disbelief that frailty screening negatively impacts relationships with older adults. The top barrier was belief that conducting frailty screening was routine. Nursing practice area influenced frailty screening beliefs.

Conclusions

There is an opportunity to implement frailty screening tools into the nursing practice of Alberta' nurses working in acute care. Frailty screening tools that become routine have greater likelihood for utilization. Nursing practice areas may have unique situations that require tailored approached to tool implementation.

Differential utility of various frailty diagnostic tools in non-geriatric hospital departments of several countries: A longitudinal study

BACKGROUND

There is limited knowledge on the performance of different frailty scales in clinical settings. We sought to evaluate in non-geriatric hospital departments the feasibility, agreement and predictive ability for adverse events after 1 year follow-up of several frailty assessment tools.

METHODS

Longitudinal study with 667 older adults recruited from five hospitals in three different countries (Spain, Italy and United Kingdom). Participants were older than 75 years attending the emergency room, cardiology and surgery departments. Frailty scales used were Frailty Phenotype (FP), FRAIL scale, Tilburg and Groningen Frailty Indicators, and Clinical Frailty Scale (CFS). Analyses included the prevalence of frailty, degree of agreement between tools, feasibility and prognostic value for hospital readmission, worsening of disability and mortality, by tool and setting.

RESULTS

Emergency Room and cardiology were the settings with the highest frailty prevalence, varying by tool between 40.4% and 67.2%; elective surgery was the one with the lowest prevalence (between 13.2% and 38.2%). The tools showed a fair to moderate agreement. FP showed the lowest feasibility, especially in urgent surgery (35.6%). FRAIL, CFS and FP predicted mortality and readmissions in several settings, but disability worsening only in cardiology.

CONCLUSIONS

Frailty is a highly frequent condition in older people attending non-geriatric hospital departments. We recommend that based upon their current feasibility and predictive ability, the FRAIL scale, CFS and FP should be preferentially used in these settings. The low concordance among the tools and differences in prevalence reported and predictive ability suggest the existence of different subtypes of frailty.

Association between frailty, chronic conditions and socioeconomic status in community-dwelling older adults attending primary care: a cross-sectional study using practice-based research network data

OBJECTIVES

Frailty is a multidimensional syndrome of loss of reserves in energy, physical ability, cognition and general health. Primary care is key in preventing and managing frailty, mindful of the social dimensions that contribute to its risk, prognosis and appropriate patient support. We studied associations between frailty levels and both chronic conditions and socioeconomic status (SES).

DESIGN

Cross-sectional cohort study SETTING: A practice-based research network (PBRN) in Ontario, Canada, providing primary care to 38 000 patients. The PBRN hosts a regularly updated database containing deidentified, longitudinal, primary care practice data.

PARTICIPANTS

Patients aged 65 years or older, with a recent encounter, rostered to family physicians at the PBRN.

INTERVENTION

Physicians assigned a frailty score to patients using the 9-point Clinical Frailty Scale. We linked frailty scores to chronic conditions and neighbourhood-level SES to examine associations between these three domains.

RESULTS

Among 2043 patients assessed, the prevalence of low (scoring 1-3), medium (scoring 4-6) and high (scoring 7-9) frailty was 55.8%, 40.3%, and 3.8%, respectively. The prevalence of five or more chronic diseases was 11% among low-frailty, 26% among medium-frailty and 44% among high-frailty groups (χ²=137.92, df 2, p<0.001). More disabling conditions appeared in the top 50% of conditions in the highest-frailty group compared with the low and medium groups. Increasing frailty was significantly associated with lower neighbourhood income (χ²=61.42, df 8, p<0.001) and higher neighbourhood material deprivation (χ²=55.24, df 8, p<0.001).

CONCLUSION

This study demonstrates the triple disadvantage of frailty, disease burden and socioeconomic disadvantage. Frailty care needs a health equity approach: we demonstrate the utility and feasibility of collecting patient-level data within primary care. Such data can relate social risk factors, frailty and chronic disease towards flagging patients with the greatest need and creating targeted interventions.

Comparison of the association between six different frailty scales and clinical events in patients on hemodialysis

BACKGROUND

Frailty is associated with adverse outcomes in patients undergoing hemodialysis (HD). However, no study has used various frailty assessments in patients on HD to examine their association with clinical events. In this study, we investigated the association between clinical events and six frailty scales.

METHODS

Outpatients who underwent HD between 2018 and 2020 were retrospectively enrolled. Frailty was defined using the Fried Frailty Phenotype, Study of Osteoporotic Fractures (SOF) Index, Short Physical Performance Battery (SPPB), Frail Screening Index, FRAIL scale and Clinical Frailty Scale. Outcomes were clinical events, including a composite of multiple (i.e. recurrent) all-cause hospitalizations, fractures and/or all-cause mortality. The association of clinical events and the frailty scales were investigated using negative binomial regression analysis.

RESULTS

Fried Frailty Phenotype [incident rate ratio (IRR), 1.62; 95% confidence interval (CI), 1.49-1.76], SOF Index (IRR, 1.42; 95% CI, 1.10-1.83), SPPB (IRR, 1.79; 95% CI, 1.11-2.88) and Clinical Frailty Scale (IRR, 1.65; 95% CI, 1.04-2.61) were significantly associated with clinical events. However, Frail Screening Index (IRR, 1.38; 95% CI, 0.60-3.18) and FRAIL scale (IRR, 1.30; 95% CI, 0.88-1.92) showed no significant association with clinical events.

CONCLUSIONS

Objective frailty assessments (SPPB) and medical staff impression-based frailty (Clinical Frailty Scale) may be useful prognostic predictors for patients on HD. Questionnaire-based frailty assessment should be carefully considered when used as a measurement of frailty.

External validation of the hospital frailty risk score among hospitalised home care clients in Canada: a retrospective cohort study

BACKGROUND

The Hospital Frailty Risk Score (HFRS) is scored using ICD-10 diagnostic codes in administrative hospital records. Home care clients in Canada are routinely assessed with Resident Assessment Instrument-Home Care (RAI-HC) which can calculate the Clinical Frailty Scale (CFS) and the Frailty Index (FI).

OBJECTIVE

Measure the correlation between the HFRS, CFS and FI and compare prognostic utility for frailty-related outcomes.

DESIGN

Retrospective cohort study.

SETTING

Alberta, British Columbia and Ontario, Canada.

SUBJECTS

Home care clients aged 65+ admitted to hospital within 180 days (median 65 days) of a RAI-HC assessment (n = 167,316).

METHODS

Correlation between the HFRS, CFS and FI was measured using the Spearman correlation coefficient. Prognostic utility of each measure was assessed by comparing measures of association, discrimination and calibration for mortality (30 days), prolonged hospital stay (10+ days), unplanned hospital readmission (30 days) and long-term care admission (1 year).

RESULTS

The HFRS was weakly correlated with the FI (ρ 0.21) and CFS (ρ 0.28). Unlike the FI and CFS, the HFRS was unable to discriminate for 30-day mortality (area under the receiver operator characteristic curve (AUC) 0.506; confidence interval (CI) 0.502-0.511). It was the only measure that could discriminate for prolonged hospital stay (AUC 0.666; CI 0.661-0.673). The HFRS operated like the FI and CFI when predicting unplanned readmission (AUC 0.530 CI 0.526-0.536) and long-term care admission (AUC 0.600; CI 0.593-0.606).

CONCLUSIONS

The HFRS identifies a different subset of older adult home care clients as frail than the CFS and FI. It has prognostic utility for several frailty-related outcomes in this population, except short-term mortality.

Understanding social care need through primary care big data: a rapid scoping review

BACKGROUND

A more comprehensive understanding and measurement of adult social care need could contribute to efforts to develop more effective, holistic personalised care, particularly for those with multiple long-term conditions (MLTC). Progress in this area faces the challenge of a lack of clarity in the literature relating to how social care need is assessed and coded within variables included in primary care databases.

AIM

To explore how social care need is assessed and coded within variables included in primary care databases.

DESIGN & SETTING

An exploratory rapid scoping review of peer-reviewed articles and grey literature.

METHOD

Articles were screened and extracted onto a charting sheet and findings were summarised descriptively. Articles were included if published in English and related to primary and social care using data from national primary care databases.

RESULTS

The search yielded 4010 articles. Twenty-seven were included. Six articles used the term 'social care need', although related terminology was identified including 'need factors', 'social support', and 'social care support'. Articles mainly focused on specific components of social care need, including levels of social care usage or service utilisation and costs incurred to social care, primary care, and other providers in addressing needs. A limited range of database variables were found measuring social care need.

CONCLUSION

Further research is needed on how social care need has been defined in a UK context and captured in primary care big databases. There is potential scope to broaden the definition of social care need, which captures social service needs and wider social needs.

Clinical Perspectives on Cardiac Rehabilitation After Heart Failure in Elderly Patients with Frailty: A Narrative Review

The purpose of this narrative review is to examine rehabilitation modalities for patients with heart failure and Frailty who require comprehensive intervention. Ischemic heart disease is the leading cause of death worldwide, accounting for 16% of global mortality. Due to population growing and aging, the total number of heart failure patients continues to rise, a condition known as the heart failure pandemic. Furthermore, frailty has been associated with an increased risk for heart failure and increased morbidity and mortality. The 2021 update of the 2017 ACC expert consensus decision pathway for optimization of HF treatment has become more concerning, citing frailty as one of the 10 most important issues associated with heart failure with reduced ejection fraction (HFrEF). Frailty and heart failure share common pathological mechanisms and are associated with poor clinical outcomes. Most studies of frailty in patients with heart failure primarily focus on physical frailty, and associations between psycho-psychological and social factors such as cognitive dysfunction and social isolation have also been reported. These results suggest that a more comprehensive assessment of frailty is important to determine the risk in patients with heart failure. Therefore, mechanisms of the three domains, including not only physical frailty but also cognitive, psychological, spiritual, and social aspects, should be understood. In addition to interventions in these three domains, nutritional and pharmacological interventions are also important and require tailor-made interventions for the widely varied conditions associated with heart failure and frailty. Although several studies have shown a relationship between frailty and prognosis in patients with heart failure, interventions to improve the prognosis have not yet been established. Further information is needed on frailty intervention by a multidisciplinary team to improve the prognosis.

[PAPPS update on older people 2022]

This article examines the latest available evidence on preventive activities in the elderly, including sleep disorders, physical exercise, deprescription, cognitive disorders and dementias, nutrition, social isolation and frailty.

Healthcare cost expenditures associated to frailty and sarcopenia

Objectives

Frailty and sarcopenia have been related with adverse events, including hospitalization. However, its combined effect with hospitalization-related outcomes, including costs, has not been previously investigated. Our purpose was to explore how frailty, sarcopenia and its interaction could impact on healthcare expenditures.

Methods

1358 community-dwelling older adults from the Toledo Study of Healthy Ageing (TSHA) were included. Sarcopenia was measured using the Foundation for the National Institutes of Health criteria fitted to our cohort. Frailty was defined according to Frailty Trait Scale 5 (FTS5) and the Frailty Index fitted to the cut-off points of TSHA population. Hospitalization costs were taken from hospital records and costs were attributed according to Diagnostic-Related Groups, using as the cost base year 2015. Two-part regression models were used to analyze the relationship between frailty and sarcopenia and hospital admission, number of hospitalizations, length of stay and hospitalization costs.

Results

Sarcopenia was associated only with the probability of being admitted to hospital. Frailty was also associated with higher hospital use, regardless of the frailty tool used, but in addition increased hospital admission costs at follow-up by 23.72% per year and by 19.73% in the full model compared with non-frail individuals. The presence of sarcopenia did not increase the costs of frailty but, by opposite, frailty significantly increased the costs in people with sarcopenia, reaching by 46–56%/patient/year at follow-up. Older adults with frailty and sarcopenia had a higher risk of hospitalization, disregarding the tool used to assess frailty, and higher hospitalization costs (FTS5) in the full model, at the cross-sectional and at the follow-up level.

Conclusions

Frailty is associated with increased hospitalization costs and accounts for the potential effects of sarcopenia.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03439-z.

Comparison of Multidimensional Frailty Instruments for Estimation of Long-term Patient-Centered Outcomes After Cardiac Surgery

Importance

Little is known about the performance of available frailty instruments in estimating patient-relevant outcomes after cardiac surgery.

Objective

To examine how well the Johns Hopkins Adjusted Clinical Groups (ACG) frailty indicator, the Hospital Frailty Risk Score (HFRS), and the Preoperative Frailty Index (PFI) estimate long-term patient-centered outcomes after cardiac surgery.

Design, Setting, and Participants

This retrospective cohort study was conducted in Ontario, Canada, among residents 18 years and older who underwent coronary artery bypass grafting or aortic, mitral or tricuspid valve, or thoracic aorta surgery between October 2008 and March 2017. Long-term care residents, those with discordant surgical encounters, and those receiving dialysis or dependent on a ventilator within 90 days were excluded. Statistical analysis was conducted from July 2021 to January 2022.

Main Outcomes and Measures

The primary outcome was patient-defined adverse cardiovascular and noncardiovascular events (PACE), defined as the composite of severe stroke, heart failure, long-term care admission, new-onset dialysis, and ventilator dependence. Secondary outcomes included mortality and individual PACE events. The association between frailty and PACE was examined using cause-specific hazard models with death as a competing risk, and the association between frailty and death was examined using Cox models. Areas under the receiver operating characteristic curve (AUROC) were determined over 10 years of follow-up for each frailty instrument.

Results

Of 88 456 patients (22 924 [25.9%] female; mean [SD] age, 66.3 [11.1] years), 14 935 (16.9%) were frail according to ACG criteria, 63 095 (71.3%) according to HFRS, and 76 754 (86.8%) according to PFI. Patients with frailty were more likely to be older, female, and rural residents; to have lower income and multimorbidity; and to undergo urgent surgery. Patients meeting ACG criteria (hazard ratio [HR], 1.66; 95% CI, 1.60-1.71) and those with higher HFRS scores (HR per 1.0-point increment, 1.10; 95% CI, 1.09-1.10) and PFI scores (HR per 0.1-point increment, 1.75; 95% CI, 1.73-1.78) had higher rates of PACE. Similar magnitudes of association were observed for each frailty instrument with death and individual PACE components. The HFRS had the highest AUROC for estimating PACE during the first 2 years and death during the first 4 years, after which the PFI had the highest AUROC.

Conclusions and Relevance

These findings could help to tailor the use of frailty instruments by outcome and follow-up duration, thus optimizing preoperative risk stratification, patient-centered decision-making, candidate selection for prehabilitation, and personalized monitoring and health resource planning in patients undergoing cardiac surgery.

The association between metabolic syndrome and presence of frailty: a systematic review and meta-analysis

BACKGROUND

Frailty represents a progressive deterioration in multi-system of the body and could increase vulnerability to stressors. Recently, several studies found that metabolic syndrome was significantly associated with frailty and emphasized its role in assessing and preventing frailty. However, these conclusions are controversial. We conducted this systematic review and meta-analysis to evaluate the association between metabolic syndrome and frailty.

METHODS

Databases including Pubmed, Embase, Web of Science, CINAHL Complete, China National Knowledge Infrastructure (CNKI) and Wanfang Data Knowledge Service Platform were searched for studies on the association between metabolic syndrome and frailty, from inception to 17th June 2022. Two researchers independently screened the literature, extracted the data and evaluated the quality. Stata/SE 15.0 software was used to perform the statistical analysis.

RESULTS

Eleven studies were included in this review and eight studies were included in the meta-analysis, involving one prospective cohort studies and ten cross-sectional studies with 12,640 participants. The pooled results indicated that metabolic syndrome was significantly associated with frailty (OR = 1.82, 95% CI = 1.46-2.27) with a low heterogeneity (I² = 32.1%), and there were significant associations between MetS and weakness (OR = 1.35, 95% CI = 1.15-1.58, I² = 0.0%), slow gait speed (OR = 1.80, 95% CI = 1.51-2.14, I² = 93.4%), weight loss (OR = 1.77, 95% CI = 1.36-2.29, I² = 0.0%) and decreased physical activity (OR = 1.87, 95% CI = 1.49-2.35, I² = 39.7%).

CONCLUSIONS

The findings of this systematic review and meta-analysis suggested that metabolic syndrome could be significantly associated with the presence of frailly. Future studies need to further consider the effects of measurement tools, age and specific disease status in this association. Furthermore, the casual relationship between them is to be determined.

Machine Learning Approaches for the Frailty Screening: A Narrative Review

Frailty characterizes a state of impairments that increases the risk of adverse health outcomes such as physical limitation, lower quality of life, and premature death. Frailty prevention, early screening, and management of potential existing conditions are essential and impact the elderly population positively and on society. Advanced machine learning (ML) processing methods are one of healthcare’s fastest developing scientific and technical areas. Although research studies are being conducted in a controlled environment, their translation into the real world (clinical setting, which is often dynamic) is challenging. This paper presents a narrative review of the procedures for the frailty screening applied to the innovative tools, focusing on indicators and ML approaches. It results in six selected studies. Support vector machine was the most often used ML method. These methods apparently can identify several risk factors to predict pre-frail or frailty. Even so, there are some limitations (e.g., quality data), but they have enormous potential to detect frailty early.

[Frailty in primary care: Diagnosis and multidisciplinary management]

El envejecimiento poblacional se asocia a un mayor uso de recursos sociales sanitarios, asociados a la mayor morbimortalidad y discapacidad de este grupo etario. La fragilidad es un síndrome geriátrico previo a la aparición de la dependencia funcional, que permite la identificación de individuos de mayor riesgo de dependencia, institucionalización, efectos adversos de fármacos, mortalidad y otros eventos negativos de salud. Este síndrome es potencialmente reversible con una intervención multicomponente. La atención primaria de salud es el lugar preferente para el diagnóstico y seguimiento de la fragilidad, a través de escalas como la FRAIL scale, el fenotipo de Fried o modelos de acumulación de déficits. Para el seguimiento se precisa la intervención multidimensional y coordinada de diferentes profesionales sanitarios y sociales, con la implicación del paciente y su familia. Se debe fomentar la investigación para determinar las intervenciones más eficaces y los cursos clínicos más frecuentes.