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

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.

What do we know about nursing practice in relation to functional ability limitations, frailty and models of care among older people in home- and facility-based care: a scoping review

BACKGROUND

Nursing practice in long-term care, must support the delivery of safe and evidence-based care, especially for older people with functional ability limitations and frailty, with the competency, knowledge and structured working modes such practice requires. Understanding, detecting and preventing these conditions is important in a context where care is given to a significant number of older people with complex care needs. Our aim was to map published literature on how functional ability limitations and frailty among older people (65 and above) in home-and facility-based care (i.e. long-term care) were described by key stakeholders, and to identify models of care (MoCs) targeting these conditions.

METHODS

We followed Arksey and O'Malley's methodological steps and the PRISMA-ScR reporting guidelines. The PubMed, CINAHL and PsycInfo databases were used to identify papers published between June 2002 and June 2022. The search was updated in May 2024. A descriptive analysis was conducted where the identified patterns were organised and categorised with the support of the Pattern, Advances, Gaps, Evidence for practice and research Recommendations framework (PAGER).

RESULTS

A total of 18,875 unique records were identified. Of these, 26 papers were included. The findings implied a discrepancy between the older people's subjective- and the nurses' more objective, 'matter-of-fact' perspective. The older people described both conditions in terms of identity loss and an emotional struggle to remain independent. They also highlighted the importance of positive connotations in relation to their efforts to adapt and accommodate the situation to the conditions. Nursing practice targeting the conditions were predominantly described as being reactive, based on their experiences and guided by 'intuition'. The identified MoCs mainly targeted functional ability limitations while focusing on educating nurses.

CONCLUSION

A point of saturation seems to have been reached regarding research focusing on older people's descriptions of frailty in home-based care. The same cannot be said about older people's or nurses' descriptions concerning functional ability limitations or MoCs. Intervention studies focusing on nursing practice and the development of MoCs that target these conditions preferably in a home-based care context could substantially benefit the development of knowledge within nursing and nursing practice.

TRIAL REGISTRATION

OPEN SCIENCE FRAMEWORK: https://doi.org/10.17605/OSF.IO/FNHSA .

Predictive Value of Inflammation Markers for Frailty in Older Patients with CVD

Background

Chronic inflammation plays a pivotal role in the development of frailty in patients with cardiovascular diseases (CVD). Systemic inflammatory response index (SIRI) has been shown to reflect the overall inflammatory status. This study aimed to investigate the relationship between SIRI and frailty in older patients with CVD, and to develop a nomogram for predicting the risk of frailty in this population.

Methods

A total of 234 older patients with CVD were included. Inflammation markers were derived from routine blood tests, and frailty status was assessed using the FRAIL scale. Clinical and laboratory characteristics were compared between patients with or without frailty. Multivariate logistic regression was employed to identify significant variables for inclusion in the nomogram. The performance of the nomogram, including its discrimination and calibration, was rigorously evaluated.

Results

A total of 98 cases were assigned to the frailty group and 136 to the non-frailty group. Patients in the non-frailty group were generally younger, more likely to have normal kidney function, and better blood pressure control. Frail patients exhibited a higher degree of systemic inflammation compared to non-frail patients (P < 0.05). Age, LDL-C and SIRI were identified as three independent risk factors with significant potential for predicting frailty in CVD patients. Therefore, we constructed a clinical nomogram model for frailty based on age, LDL-C and SIRI. The nomogram for frailty had considerable discriminative and calibrating abilities.

Conclusion

In summary, our study demonstrated a significant association between elevated levels of inflammation markers, particularly SIRI, and an increased risk of frailty. Furthermore, by integrating age, LDL-C and SIRI, we established a nomogram to predict the risk of frailty in older patients with CVD.

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.

Sex Bias in Frailty Screening: A Cross-Sectional Analysis of PRISMA-7 and the Clinical Frailty Scale in Primary Care

Background/Objectives: Frailty screening is essential in primary care for the early identification of vulnerable older adults. PRISMA-7 is a widely used screening tool, but Item 2 ("Are you male?") introduces potential sex bias and overestimates frailty in men. PRISMA-6, a modified version that excludes Item 2, might provide a more equitable alternative. This study evaluates PRISMA-6's alignment with the Clinical Frailty Scale (CFS) and its impact on sex-specific frailty classification. Methods: A cross-sectional study was conducted in 142 general practices across South Tyrol, including 9190 general practice patients aged ≥75 years. Frailty was assessed using PRISMA-7, PRISMA-6, and the CFS. Correlations between tools were calculated using Kendall's Tau-b, whereas Fisher's z-test was used to compare differences in alignment. The frailty prevalence and odds ratios were stratified according to sex and age. Results: PRISMA-6 showed a stronger correlation with the CFS (τ = 0.492) than PRISMA-7 (τ = 0.308, z = -10.2, p < 0.001). This effect was pronounced in men (z = -9.8, p < 0.001), whereas no difference was observed in women (z = 0.00, p = 1.000). PRISMA-6 reduced the frailty detection rate in men and was more closely aligned with the CFS. Conclusions: PRISMA-6 demonstrated improved alignment with the CFS and reduced sex bias compared to PRISMA-7. However, its use as a screening tool for men requires prospective validation in diverse settings. PRISMA-6 shows promise as a reliable and equitable frailty screening tool and should be considered for use in future studies, particularly in primary care settings, while awaiting further prospective validation.

Prevalence and risk factors of frailty in people experiencing homelessness: A systematic review and meta-analysis

BACKGROUND

The experience of homelessness has been associated with premature ageing and an earlier onset of geriatric syndromes. Identification of frailty and appropriate intervention, may help improve health outcomes for people experiencing homelessness (PEH). This review aimed to identify prevalence, use of screening tools and risk factors for frailty in PEH.

METHOD

A systematic review, conducted and reported following the PRISMA checklist, was undertaken investigating the prevalence and risk factors of frailty among PEH. Searches were conducted in Ovid MEDLINE, PsycInfo, Web of Science and CINAHL from inception to July 2024. A meta-analysis examining prevalence of frailty and pre-frailty was completed with a narrative synthesis of related risk factors.

RESULTS

A total of 1672 articles were screened for eligibility and 11 studies were included, containing 1017 participants from seven countries. Six different screening tools were employed to detect frailty in the included studies. The range of frailty prevalence was 16-70 % and pre-frailty prevalence was 18-60 %. The pooled frailty prevalence from studies employing the Fried Criteria was 39 % (95 % CI 15-66); the Clinical Frailty Scale: 37 % (95 % CI 24-51); the Edmonton Frailty Scale: 53 % (95 % CI 44-63); and the Tilburg Fraily Indicator: 31 % (95 % CI 8-60). High heterogeneity was observed between the studies. Identified risk factors for developing frailty in PEH included being female, increased years spent homeless, and drug addiction.

CONCLUSION

This study highlights a high prevalence of frailty and pre-frailty in PEH. The identified risk factors illustrate potential areas to target interventions to reverse frailty. Future research should focus on the role of screening for frailty in PEH and developing appropriate frailty detection tools in this group.

A systematic review of assessment tools for cognitive frailty: Use, psychometric properties, and clinical utility

BACKGROUND

The concept of 'cognitive frailty' (CF) was first developed by an international consensus group in 2013 and defined as evidence of both physical frailty and cognitive impairment without a clinical diagnosis of AD or another dementia. CF has been associated with adverse health outcomes and early identification is vital. Difficulty in the assessment of CF however is the lack of a diagnostic gold standard.

OBJECTIVES

This review aimed to identify assessment tools used to diagnose cognitive impairment in the diagnosis of cognitive frailty, their psychometric qualities and clinical utility.

RESEARCH DESIGN AND METHODS

Six databases were searched between 2013-2024. Studies were eligible if they reported a method of defining cognitive frailty, named the assessment tools, and stated cutoff values used to define cognitive impairment.

RESULTS

In the 116 included studies, large heterogeneity was found in the tools utilised, and cutoff scores applied, to diagnose cognitive impairment in the diagnosis of cognitive frailty. This review has demonstrated that diagnosis of CF relies predominantly on the use of three cognitive assessment tools (Mini Mental State Examination, Montreal Cognitive Assessment, Clinical Dementia Rating) from a total of 22 different tools identified in the literature. For assessment of physical frailty, 11 different tools were identified, with the Fried Frailty Index and FRAIL Scale predominantly utilised.

DISCUSSION AND IMPLICATIONS

The variation in the tools used to identify the diagnosis of CF means there is inconsistency in reporting, potentially impacting both the understanding of the prevalence, and the appropriate direction of intervention strategies.

Establishing Clinically Operational Domains of Multidimensional Frailty: A Consensus Approach to Improve Multidimensional Frailty Diagnosis at Point of Care

BACKGROUND AND OBJECTIVES

Frailty is common among older patients; however, there is a lack of agreement on methods to diagnose and monitor frailty at point of care. The purpose of this study was to establish consensus on important, feasible, and usable domains for point-of-care frailty assessment within all conceptual models of frailty.

RESEARCH DESIGN AND METHODS

We reviewed instruments that assess frailty and extracted the domains measured by each tool. We developed 3 use cases for frailty assessment, which provided context for voters: (1) longitudinal tracking of frailty in the aging patient (>50 years), (2) preoperative evaluation of frailty before surgery in adults (>50 years), and (3) discharge disposition after hospital admission in adults (>50 years). We conducted a modified RAND Corporation/University of California Los Angeles Delphi with a panel of 11 experts. Panelists rated each domain for each use case on a scale from 1 to 9, where 1 is definitely not important/feasible/usable and 9 is definitely important/feasible/usable.

RESULTS

Panelists achieved agreement on the following domains for the respective clinical use cases: Physical Strength 1, 2, and 3; Balance 1 and 3; Cognition 1, 2, and 3; Nutrition 1; Physical Activity 1, 2, and 3; Depression 1; Disease 1, 2, and 3; and Social Environment 1 and 3. The remaining items were indeterminate.

DISCUSSION AND IMPLICATIONS

We established consensus on 8 domains of frailty across 3 use cases. These results can inform the measurement of domains to diagnose, monitor, and inform the management of frailty within the defined use cases.

Frailty in Geriatrics: A Critical Review with Content Analysis of Instruments, Overlapping Constructs, and Challenges in Diagnosis and Prognostic Precision

Frailty is a key concept in geriatric care; yet its definition and assessment remain debated. Since the early 2000s, two main models have emerged: the Fried frailty phenotype, focusing on physical deficits, and the Mitnitski frailty index, which incorporates broader health factors. These divergent approaches have led to over 50 frailty instruments, reflecting the absence of a unified framework. This review explores the content, weighting, and scoring methods of frailty instruments, identifying potential concerns derived from this. This review exposes the overlap of frailty with other constructs including function, disability, morbidity, and sarcopenia. Many instruments lack content validity, and detect highly heterogeneous samples within and between scales, all labeled under the "frail" tag. This poses challenges to interpreting instrument responsiveness. In addition, frailty should not be considered a clinical entity with a unique etiology. This review discusses how the broad nature of frailty conflicts with modern paradigms of individualization and precision. They may be useful in primary care, but lack the specificity for secondary care evaluations. This article also discusses how the predictive validity of frailty should be interpreted with caution. Finally, we summarize our findings and propose a new definition of frailty, highlighting the strengths and weaknesses of the construct. The identified inconsistencies should serve as a guide for refining the concept of frailty, both in research and in its application to geriatric care.

Impact of Frailty on Antihypertensive Treatment in Older Adults

BACKGROUND

The association between systolic blood pressure and all-cause mortality differs between frail and nonfrail individuals, highlighting uncertainties about the effectiveness of antihypertensive treatments in frail populations.

METHODS

Using data from the SHEP trial (Systolic Hypertension in the Elderly Program), a baseline frailty index (FI), including 55 variables, was constructed. Fine-Gray subdistribution hazard models and Cox proportional hazards regression models were used to explore the association between baseline FI and the risks of stroke, cardiovascular disease, and all-cause death, as well as to examine whether the impact of antihypertensive treatment on these outcomes was modified by baseline FI.

RESULTS

A total of 4692 participants (mean age, 72.1 years; 56.7% women) were included, with a mean (SD) FI of 0.134 (0.061). During a median follow-up period of 4.4 years, FI was associated with a higher risk of stroke (subdistribution hazard ratio, 1.24 [95% CI, 1.10-1.39]; per SD higher FI), cardiovascular disease (subdistribution hazard ratio, 1.18 [95% CI, 1.09-1.26]), and all-cause death (hazard ratio, 1.37 [95% CI, 1.26-1.50]), after adjustment for age, sex, race, education and treatment group. Although those with higher levels of frailty were at higher risk for all outcomes, there was no evidence of an interaction between baseline FI and antihypertensive treatment (P for interaction >0.05 for all outcomes).

CONCLUSIONS

In individuals with isolated systolic hypertension, antihypertensive treatment improved associated outcomes even among those with a higher degree of frailty. These findings from the SHEP trial reinforce evidence from other seminal antihypertensive trials, which collectively inform the appropriate treatment of frail individuals with hypertension.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique identifier: NCT00000514.

Comparative clinical frailty scale and hospital frailty risk score in identifying frailty and predicting mid-term outcomes in older patients with acute coronary syndrome: a multicenter cohort study in Vietnam

BACKGROUND

We aimed to compare the agreement between two common frailty assessment tools, Clinical Frailty Scale (CFS) and Hospital Frailty Risk Score (HFRS), and their ability to predict mid-term adverse outcomes in older patients admitted with acute coronary syndrome (ACS).

METHODS

We conducted a prospective analysis of patients aged ≥ 60 admitted with ACS at multiple centers in Vietnam between July 2022 and June 2023. A cross-tabulation method was used to describe the correlation between CFS and HFRS. To test the predictive accuracy of HFRS for identifying patients with frailty according to CFS, we evaluated the area under the curves of receiver operating characteristic (ROC) analysis. Youden J index was used to identify a new optimal probability threshold for HFRS. We employed Cox regression models to investigate the association between frailty assessed by CFS, HFRS (using both old and new cut-offs), and 9-month mortality.

RESULTS

We included 504 older patients admitted with ACS (median age 72.7 years; male: 59.9%). The correlation between CFS and HFRS was fair (AUC = 0.787, p < 0.010). HFRS had a sensitivity of 39.7% and a specificity of 79.2% to detect frailty based on CFS classification. The new optimal probability threshold of HFRS (≥ 1.15 points) improved the instrument's performance with a significantly higher sensitivity of 90.2%. While frailty categorized by HFRS with the original cut-off did not impact mid-term all-cause and cardiovascular mortality, frailty according to CFS and HFRS with the new threshold was shown to be a predictor of mid-term all-cause and cardiovascular mortality (HR = 4.48, p < 0.001 vs. HR = 2.29, p = 0.001; HR = 5.19, p < 0.001 vs. HR = 1.99, p = 0.020).

CONCLUSIONS

Although a fair correlation existed between the CFS and the HFRS in older patients with ACS, HFRS demonstrated limited predictive validity for mid-term mortality. We advocate for a revised cutoff (HFRS ≥ 1.15 points) to enhance its sensitivity and predictive accuracy. Future research should prioritize the integration of additional clinical biomarkers and conducting longitudinal studies to assess the efficacy of targeted interventions informed by frailty scores, ultimately striving to improve outcomes in this vulnerable population.

Comparison of rectus femoris muscle shear wave elastography and thickness on evaluation of frailty

PURPOSE

The objective of this study is to evaluate the potential of rectus femoris shear wave elastography (RF-SWE) in assessing its impact on frailty and physical performance parameters, using a comparative analysis with rectus femoris muscle thickness (RF-MT).

METHODS

A total of 149 participants aged 60 and above were included in this research. All participants underwent a comprehensive geriatric assessment, frailty status assessment (using the frailty phenotype [FFP]), and evaluation of physical performance parameters (utilizing the short physical performance battery score [SPPB] and handgrip strength measurement). RF-MT and RF-SWE were measured by a radiologist with participants in a prone and relaxed position.

RESULTS

The mean age of participants was 73.8 ± 6.5, with 61.7% (n = 92) being female. Participants were divided into 2 groups based on their frailty status, with 40 (26.8%) identified as frail and 109 (73.2%) as non-frail. RF-MT exhibited a significant correlation with frailty and the SPPB, while RF-SWE did not exhibit significant associations except for handgrip strength. In regression analyses, RF-MT was found to be significantly and independently associated with physical frailty. The optimal cutoff value for RF-MT was determined to be ≤ 17.74 (area under the ROC curve [AUC], 0.752; 95% CI 0.675-0.819; p < 0.001). In contrast, RF-SWE did not show a significant relationship.

CONCLUSION

RF-MT is more strongly associated with physical performance and physical frailty than the muscle quality assessed by RF-SWE. Measuring RF-MT, rather than RF-SWE, proves to be an effective tool for predicting frailty in the geriatric population.

Feasibility of EMDR in Older Adults with PTSD to Reduce Frailty and Improve Quality of Life

OBJECTIVES

Posttraumatic stress disorder (PTSD) after exposure to multiple (childhood) trauma's is strongly associated with accelerated aging and high psychiatric and somatic comorbidity, influencing frailty and Quality of Life (QoL) in older adults. Eye Movement Desensitization therapy (EMDR) addresses psychological and physiologic symptoms stemming from adverse life events and therefore could influence frailty and QoL in older adults.

METHODS

We conducted a multi-center feasibility study (two psychiatric hospitals) in Dutch older outpatients (N = 24; ≥60 years) with PTSD. Participants received weekly EMDR-treatment during the course of the trial (3 months to a maximum of 9 months). Frailty (Groninger Frailty Indicator) and QoL (EuroQol 5D-3L), were assessed pre- and posttreatment.

RESULTS

A linear mixed-model approach showed significant reduction of frailty (F(1,23) = 9.019, p = .006) and improvement of QoL (F(1,23) = 13.787, p = .001). For both frailty and QoL, there was no significant influence of Clinician-Administered PTSD Scale (CAPS-5) pre-treatment score, therapy duration, and neither an interaction effect of therapy duration x CAPS-5 pre-treatment score.

CONCLUSIONS

EMDR with older adults with PTSD showed a significant reduction of frailty and improvement of QoL. Randomized controlled studies are needed to more precisely study the impact of trauma-focused treatment in older adults on frailty and QoL and the implications this might have for lessening disease burden.

CLINICAL IMPLICATIONS

Screening for PTSD in older frail adults is important to treat PTSD as a possible way to reduce frailty and improve QoL.

Scale-based screening and assessment of age-related frailty

As the population ages, the prevalence of age-related frailty increases sharply, which increases the risk of poor health status of older adults, such as disability, falls, hospitalization, and death. Across the globe, frailty is moving toward the forefront of health and medical research. Currently, frailty is believed to be preventable and reversible, so the early identification of frailty is critical. However, there are neither precise biomarkers of frailty nor definitive laboratory tests and corresponding clinical testing techniques and equipment in clinical practice. As a result, the clinical identification of frailty is mainly achieved through the widely used frailty scale, which is an objective, simple, time-saving, effective, economical, and feasible measurement tool. In this narrative review, we summarized and analyzed the various existing frailty scales from different perspectives of screening and evaluation, aiming to provide a reference for clinical researchers and practitioners to judge and manage frail older people accurately.

The implications of frailty in older adults with epilepsy

Older adults constitute a large proportion of people with epilepsy (PWE) due to the changing demographics worldwide and epilepsy's natural history. Aging-related pathophysiological changes lower the tolerance and increase our vulnerability to stressors, which manifests as frailty. Frailty is closely associated with adverse health outcomes. This narrative review examines the interplay between frailty and epilepsy, especially in older adults, emphasizing its clinical implications, including its role in managing PWE. Mechanistically, frailty develops through complex interactions among molecular and cellular damage, including genomic instability, mitochondrial dysfunction, and hormonal changes. These contribute to systemic muscle mass, bone density, and organ function decline. The concept of frailty has evolved from a primarily physical syndrome to include social, psychological, and cognitive dimensions. The "phenotypic frailty" model, which focuses on physical performance, and the "deficit accumulation" model, which quantifies health deficits, provide frameworks for understanding and assessing frailty. PWE are potentially more prone to developing frailty due to a higher prevalence of risk factors predisposing to frailty. These include, but are not limited to, polypharmacy, higher comorbidity, low exercise level, social isolation, low vitamin D, and osteoporosis. We lack commercial biomarkers to measure frailty but can diagnose it using self- or healthcare provider-administered frailty scales. Recent attempts to develop a PWE-specific frailty scale are promising. Unlike chronological age, frailty is reversible, so its management using multidisciplinary care teams should be strongly considered. Frailty can affect antiseizure medication (ASM) tolerance secondary to its impact on pharmacokinetics and pharmacodynamics. While frailty's effect on seizure control efficacy of ASM is poorly understood, its undoubted association with overall poor outcomes, including epilepsy surgery, behooves us to consider its presence and implication while treating older PWE. Incorporation of frailty measures in future research is essential to improve our understanding of frailty's role in PWE health. PLAIN LANGUAGE SUMMARY: Frailty is the declining state of the human body. People with epilepsy are more prone to it. It should be factored into their management.

Comparison of different frailty instruments for prediction of functional decline in older hypertensive outpatients (HYPER-FRAIL pilot study 2)

BACKGROUND AND AIMS

Few studies have evaluated frailty in older hypertensive individuals and the most appropriate tools to identify frailty in this population have yet to be identified. This study compared the performance of six frailty instruments in the prediction of 1-year functional decline in older hypertensive outpatients.

METHODS

The HYPERtension and FRAILty in Older Adults (HYPER-FRAIL) longitudinal pilot study involved hypertensive participants ≥75 years from two geriatric outpatient clinics at Careggi Hospital, Florence, Italy, undergoing identification of frailty with four frailty scales (Fried Frailty Phenotype, Frailty Index [FI], Clinical Frailty Scale [CFS], Frailty Postal Score) and two physical performance tests (Short Physical Performance Battery [SPPB] and gait speed). Prediction of 1-year functional decline (i.e. a ≥ 10-point Barthel Index decrease between baseline and follow-up) was examined based on ROC curve analysis and multivariable logistic regression.

RESULTS

Among 116 participants, 24 % reported functional decline. In the ROC curve analyses, FI (AUC=0.76), CFS (AUC=0.77), gait speed (AUC=0.73) and the SPPB (AUC=0.77) achieved the best predictive performance, with FI ≥0.21 and CFS ≥4 showing the highest sensitivity (82 %) and negative predictive value (91 %). Frailty identified with FI, CFS or physical performance tests was associated with an increased risk of 1-year functional decline, independently of baseline functional status and comorbidity burden.

CONCLUSIONS

FI, CFS and physical performance tests showed similar predictive ability for functional decline in hypertensive outpatients. The CFS and gait speed might be more suitable for clinical use and may be useful to identify non-frail individuals at lower risk of functional decline.

Systematic review of guideline recommendations for older and frail adults with type 2 diabetes mellitus

BACKGROUND

The application of clinical practice guidelines (CPGs) across the spectrum of individuals living with diabetes can be challenging, particularly in older adults, where factors such as frailty and multimorbidity exacerbate the complexity of management.

OBJECTIVE

This systematic review aimed to explore the guidance provided within diabetes CPGs for management of individuals who are older and/or frail, including recommendations for haemoglobin A1C (HbA1c) target and pharmacotherapeutic management.

METHODS

A systematic search was completed in Medline and Embase to identify national or international type 2 diabetes CPGs published in the last 10 years. Data extracted included recommendations for HbA1c targets and pharmacotherapy in older and frail adults, frailty screening and deprescribing. Quality of included CPGs was appraised with the AGREE II tool.

RESULTS

Twenty-three CPGs were included, within which older adults and frailty were discussed in 21 and 14 CPGs, respectively. Specific HbA1c targets for older and/or frail adults were provided by 15 CPGs, the majority of which suggested a strict target (<7.0%-7.5%) in healthier older adults and a more relaxed target (<8.0%-8.5%) in those who are frail or medically complex. Ten CPGs provided recommendations for insulin therapy and 16 provided recommendations for non-insulin antihyperglycaemic agents that were specific to older and/or frail populations, which primarily focused on minimising risk of hypoglycaemia.

CONCLUSION

Most diabetes CPGs recommend strict HbA1c targets in healthier older adults, with more relaxed targets in those living with frailty or medical complexity. However, significant variability exists in pharmacotherapy recommendations and there were proportionately less recommendations for individuals who are frail.

Quantitative biomechanical analysis in validating a video-based model to remotely assess physical frailty: a potential solution to telehealth and globalized remote-patient monitoring

Assessing physical frailty (PF) is vital for early risk detection, tailored interventions, preventive care, and efficient healthcare planning. However, traditional PF assessments are often impractical, requiring clinic visits and significant resources. We introduce a video-based frailty meter (vFM) that utilizes machine learning (ML) to assess PF indicators from a 20 s exercise, facilitating remote and efficient healthcare planning. This study validates the vFM against a sensor-based frailty meter (sFM) through elbow flexion and extension exercises recorded via webcam and video conferencing app. We developed the vFM using Google's MediaPipe ML model to track elbow motion during a 20 s elbow flexion and extension exercise, recorded via a standard webcam. To validate vFM, 65 participants aged 20-85 performed the exercise under single-task and dual-task conditions, the latter including counting backward from a random two-digit number. We analyzed elbow angular velocity to extract frailty indicators-slowness, weakness, rigidity, exhaustion, and unsteadiness-and compared these with sFM results using intraclass correlation coefficient analysis and Bland-Altman plots. The vFM results demonstrated high precision (0.00-7.14%) and low bias (0.00-0.09%), showing excellent agreement with sFM outcomes (ICC(2,1): 0.973-0.999), unaffected by clothing color or environmental factors. The vFM offers a quick, accurate method for remote PF assessment, surpassing previous video-based frailty assessments in accuracy and environmental robustness, particularly in estimating elbow motion as a surrogate for the 'rigidity' phenotype. This innovation simplifies PF assessments for telehealth applications, promising advancements in preventive care and healthcare planning without the need for sensors or specialized infrastructure.

The impact of frailty on the use of social services, medication and mortality risk: a cross-sectional study

BACKGROUND

Frailty is a common condition in older people, and its prevalence increases with age. With an ageing population, the adverse consequences of frailty cause an increasing appeal to the health care system. The impact of frailty on population level is often assessed using adverse health outcomes, such as mortality and medication use. Use of community nursing services and services offered through the Social Support Act are hardly used in assessing the impact of frailty. However, these services are important types of care use, especially in relation to ageing in place. In this cross-sectional study, we aimed to assess the impact of frailty on use of Social Support Act services, use of community nursing services, medication use, and mortality.

METHODS

We used a frailty index, the FI-HM37, that was based on data from the Dutch Public Health Monitor 2016, for which respondents ≥ 65 years of age were included (n = 233,498). The association between frailty, the use of Social Support Act services, community nursing services and medication use was assessed using the Zero Inflated Poisson (ZIP) regression method. Survival analysis using Cox proportional hazards regression was conducted to estimate the hazard ratios for the association between frailty and mortality.

RESULTS

The ZIP regression with a final sample size of 181,350 showed that frailty affected care use even after correcting for several covariates mentioned in the literature. For each unit increase in frailty index (FI) score, the relative probability of using zero Social Support services decreased with 7.7 (p < 0.001). The relative chance of zero community nursing services decreased with 4.0 (p < 0.001) for each unit increase in FI score. Furthermore, for each unit increase in FI score, the likelihood of zero medication use decreased with 2.9 (p < 0.001). Finally, for each unit increase in FI score, the mortality risk was 3.8 times higher (CI = 3.4-4.3; p < 0.001).

CONCLUSIONS

We demonstrated that frailty negatively affects the use of Social Support Act services, the use of community nursing services, medication use, and mortality risk. This study is the first to demonstrate the impact of frailty on Social Support Act services and community nursing services in the Netherlands. Findings emphasize the importance of frailty prevention for older people and public health policy.

Identifying the palliative care needs of frail, older, housebound patients in the community: A cross-sectional study

BACKGROUND

The early introduction of palliative care can have a positive impact on the quality of life of patients suffering from life-limiting diseases. However, the palliative care needs of older, frail, housebound patients are still mostly unknown, as is the impact of frailty on the importance of these needs.

OBJECTIVES

To identify the palliative care needs of frail, older, housebound patients in the community.

METHODS

We conducted a cross-sectional observational study. This study took place in a single primary care center and included patients who were ≥65 years old, housebound, followed by the Geriatric Community Unit of the Geneva University Hospitals.

RESULTS

Seventy-one patients completed the study. Most patients were female (56.9%), and mean age (SD) was 81.1 (±7.9). The Edmonton Symptom Assessment Scale mean (SD) score was higher in frail patients as opposed to vulnerable patients for tiredness (p = 0.016), drowsiness (p = 0.0196), loss of appetite (p = 0.0124), and impaired feeling of well-being (p = 0.0132). There was no difference in spiritual well-being, measured by the spiritual scale subgroup of the Functional Assessment of the Chronic Illness Therapy-Spiritual Well-Being scale (FACIT-sp) between frail and vulnerable participants, although scores in both groups were low. Caregivers were mainly spouses (45%) and daughters (27.5%) with a mean (SD) age of 70.7 (±13.6). The overall carer-burden measured by the Mini-Zarit was low.

SIGNIFICANCE OF RESULTS

Older, frail, housebound patients have specific needs that differ from non-frail patients and should guide future palliative care provision. How and when palliative care should be provided to this population remains to be determined.

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.

Frailty Detection in Older Adults with Diabetes: A Scoping Review of Assessment Tools and Their Link to Key Clinical Outcomes

Objectives: With the increasing prevalence of diabetes and frailty among older adults, there is an urgent need for precision medicine that incorporates comprehensive geriatric assessments, including frailty detection. This scoping review aims to map and synthesize the available evidence on validated tools for detecting pre-frailty and frailty in community-dwelling elderly individuals with diabetes and outpatient diabetes patients. Specifically, it addresses: (1) What validated tools are available for detecting pre-frailty and frailty in this population? (2) How are these tools associated with outcomes such as glycemic control, hypoglycemia, and metabolic phenotypes? (3) What gaps exist in the literature regarding these tools? Methods: The review followed PRISMA-ScR guidelines, conducting a systematic search across PubMed, Cochrane Library, and Web of Science. The inclusion criteria focused on studies involving individuals aged 70 years and older with diabetes, emphasizing tools with predictive capacity for disability and mortality. Results: Eight instruments met the inclusion criteria, including the Frailty Index, Physical Frailty Phenotype, and Clinical Frailty Scale. These tools varied in domains such as physical, psychological, and social aspects of frailty and their association with glycemic control, hypoglycemia, and metabolic phenotypes. The review identified significant gaps in predicting diabetes-related complications and their clinical application. Conclusions: Routine management of older adults with diabetes should incorporate frailty detection, as it is crucial for their overall health. Although widely used, the reviewed tools require refinement to address the unique characteristics of this population. Developing tailored instruments will enhance precision medicine, leading to more effective, individualized interventions for elderly individuals with diabetes.

Definition and assessment of psychological frailty in older adults: A scoping review

OBJECTIVES

The confusion surrounding psychological frailty and its components prompts the need for a standardized conceptual definition. To address this, we aimed to (1) identify the psychological variables included in multicomponent frailty assessment instruments used with older adults and examine their operationalization; and (2) formulate a thorough conceptualization of psychological frailty based on the variables identified.

METHODS

This study followed the most recent recommendations for conducting scoping reviews and is reported in accordance with PRISMA-ScR guidelines. We systematically searched the CINAHL, MEDLINE, PsycInfo, Scopus, and Web of Science databases, with additional searches in Google Scholar and reference lists.

RESULTS

Sixteen instruments were identified. The results suggested that: (1) In multicomponent frailty assessment instruments, psychological variables are poorly represented; (2) A wide variety of psychological variables are included in the instruments, the most frequent being cognitive functioning and affective functioning (e.g., depressive symptoms, emotional loneliness, anxiety symptoms, poor coping, and suicidal ideation); and (3) The way in which variables are referred to and operationalized varies across instruments.

CONCLUSIONS

Including both cognitive and affective variables in psychological frailty assessments may lead to inaccuracies. We suggest distinguishing between two separate dimensions within psychological frailty: cognitive frailty and affective frailty. A conceptual definition for each dimension is provided. This proposal aims to advance the debate regarding the conceptualization and assessment of psychological frailty, with further research and discussion needed to ensure its practical applicability.

Relationship between frailty and locomotive syndrome in older patients with degenerative cervical myelopathy: A retrospective longitudinal study

BACKGROUND

The management of degenerative cervical myelopathy (DCM), which often impairs lower extremity function and increases the risk of falls, is gaining recognition for its importance in an aging society. Despite the significant overlap between frailty and locomotive syndrome (LS) in older adults, their interaction in older DCM patients remains unclear. We aimed to determine the characteristics of older DCM patients with frailty, focusing on the association between frailty and LS.

METHODS

We retrospectively examined the clinical records and imaging data of consecutive patients aged 65 years and above who underwent surgery for DCM at a single facility. Frailty and LS stage were diagnosed using the modified frailty index-11 and the 25-question Geriatric Locomotive Function Scale (GLFS-25), respectively.

RESULTS

A total of 114 subjects were analyzed, among whom approximately 30% were diagnosed with frailty. DCM patients with frailty had significantly worse Japanese Orthopaedic Association Cervical Myelopathy Assessment Questionnaire (JOACMEQ) and GLFS-25 scores at baseline than did those without frailty. Moreover, DCM patients with frailty had significantly more advanced LS stage at baseline than did those without frailty. Meanwhile, no significant difference in the improvement in JOACMEQ and GLFS-25 scores were observed between those with and without frailty after surgery. More precisely, DCM patients with frailty experienced better improvement in lower extremity function based on the JOACMEQ than did those without frailty.

CONCLUSIONS

Our results demonstrated that older DCM patients had favorable outcomes following surgery regardless of frailty. Despite the significant association between frailty and LS in DCM patients, frailty did not negatively impact the improvement in LS in older DCM patients. These findings provide valuable information for both older DCM patients and their attending physicians that would help guide decisions about cervical spine surgery for DCM.

Health-related quality of life measures provide information on the contributors, components, and consequences of frailty in HIV: a systematic mapping review

PURPOSE

Frailty in HIV is extensively explored in epidemiological and clinical studies; it is infrequently assessed as an outcome in routine care. The focus on health-related quality of life (HRQL) measures in HIV presents a unique opportunity to understand frailty at a larger scale. The objective was to identify the extent to which generic and HIV-related HRQL measures capture information relevant to frailty.

METHODS

A systematic mapping review using directed and summative content analyses was conducted. An online search in PubMed/Medline identified publications on frailty indices and generic and HIV-related HRQL measures. Directed content analysis involved identifying contributors, components, and consequences of frailty from the frailty indices based on the International Classification of Functioning, Disability, and Health framework. Summative content analysis summarized the results numerically.

RESULTS

Electronic and hand search identified 447 review publications for frailty indices; nine reviews that included a total of 135 unique frailty indices. The search for generic and HIV-related HRQL measures identified 2008 records; five reviews that identified 35 HRQL measures (HIV-specific: 17; generic: 18). Of the 135 frailty indices, 88 cover more than one frailty dimension and 47 cover only physical frailty. Contributors to frailty, like sensory symptoms and nutrition, are extensively covered. Components of frailty such as physical capacity, cognitive ability, and mood are also extensively covered. Consequences of frailty namely self-rated health, falls, hospitalization, and health services utilization are incomprehensively covered. HRQL measures are informative for contributing factors, components of frailty, and a consequence of frailty.

CONCLUSION

HRQL items and measures show a strong potential to operationalize multidimensional frailty and physical frailty. The study suggests that these measures, connected to evidence-based interventions, could be pivotal in directing resources toward vulnerable populations to mitigate the onset of frailty.

Multidisciplinary, multicomponent interventions to reduce frailty among older persons in residents of residential care facilities: a scoping review

BACKGROUND

Frailty reduction and reversal have been addressed successfully among older populations within community settings. However, these findings may not be applicable to residential care settings, largely due to the complex and multidimensional nature of the condition. Relatively, few attempts at frailty prevention exist in residential settings. This review aims to identify and describe best practice models of care for addressing frailty among older populations in residential care settings. This research also sets out to explore the impact of multidisciplinary health service delivery models on health outcomes such as mortality, hospitalisations, quality of life, falls and frailty.

METHODS

A scoping review of the literature was conducted to address the project objectives. Reference lists of included studies, bibliographic databases and the grey literature were systematically searched for literature reporting multidisciplinary, multidimensional models of care for frailty.

RESULTS

The scoping review found no interventions that met the inclusion criteria. Of the 704 articles screened, 664 were excluded as not relevant. Forty articles were fully assessed, and while no eligible studies were found, relevant data were extracted from 10 near-eligible studies that reported single disciplines or single dimensions rather than a model of care. The physical, nutritional, medicinal, social and cognitive aspects of the near eligible studies have been discussed as playing a key role in frailty reduction or prevention care models.

CONCLUSION

This review has identified a paucity of interventions for addressing and reducing frailty in residential care settings. High-quality studies investigating novel models of care for addressing frailty in residential care facilities are required to address this knowledge gap. Similarly, there is a need to develop and validate appropriate screening and assessment tools for frailty in residential care populations. Health service providers and policy-makers should also increase their awareness of frailty as a dynamic and reversible condition. While age is a non-modifiable predictor of frailty, addressing modifiable factors through comprehensive care models may help manage and prevent the physical, social and financial impacts of frailty in the ageing population.

Validation of the Health Assessment Tool (HAT) based on four aging cohorts from the Swedish National study on Aging and Care

BACKGROUND

As global aging accelerates, routinely assessing the functional status and morbidity burden of older patients becomes paramount. The aim of this study is to assess the validity of the comprehensive clinical and functional Health Assessment Tool (HAT) based on four cohorts of older adults (60 + years) from the Swedish National study on Aging and Care (SNAC) spanning urban, suburban, and rural areas.

METHODS

The HAT integrates five health indicators (gait speed, global cognition, number of chronic diseases, and basic and instrumental activities of daily living), providing an individual-level score between 0 and 10. The tool was constructed using nominal response models, first separately for each cohort and then in a harmonized dataset. Outcomes included all-cause mortality over a maximum follow-up of 16 years and unplanned hospital admissions over a maximum of 3 years of follow-up. The predictive capacity was assessed through the area under the curve (AUC) using logistic regressions. For time to death, Cox regressions were performed, and Harrell's C-indices were reported. Results from the four cohorts were pooled using individual participant data meta-analysis and compared with those from the harmonized dataset.

RESULTS

The HAT demonstrated high predictive capacity across all cohorts as well as in the harmonized dataset. In the harmonized dataset, the AUC was 0.84 (95% CI 0.81-0.87) for 1-year mortality, 0.81 (95% CI 0.80-0.83) for 3-year mortality, 0.80 (95% CI 0.79-0.82) for 5-year mortality, 0.69 (95% CI 0.67-0.70) for 1-year unplanned admissions, and 0.69 (95% CI 0.68-0.70) for 3-year unplanned admissions. The Harrell's C for time-to-death throughout 16 years of follow-up was 0.75 (95% CI 0.74-0.75).

CONCLUSIONS

The HAT is a highly predictive, clinically intuitive, and externally valid instrument with potential for better addressing older adults' health needs and optimizing risk stratification at the population level.

The association between frailty and body composition among the elderly: Birjand Longitudinal Aging Study (BLAS)

Background

This study aims to assess the possible relationship between frailty and anthropometric indices in older adults using data from the first phase of the Birjand Longitudinal Aging Study (BLAS).

Methods

In this cross-sectional study, we assessed the association between frailty (Frailty index (FI) and Fried frailty phenotype) and body composition indices in 1364 participants aged ≥ 60 years (September 2018 to April 2019). Analysis was conducted using one-way ANOVA and ordinal logistic regression.

Results

Participants were categorized as frail (n = 164), non-frail (n = 415), and pre-frail (n = 785) based on FI. A significant positive association was observed between the frailty and body mass index (BMI) (OR: 1.04, 95% CI:1.01- 1.07), waist circumference (WC) (OR: 1.02, 95% CI: 1.01- 1.03), waist-to-hip ratio (WHR) (OR: 2.36, 95% CI 1.05- 5.27) and waist-to-height ratio (WHtR) (OR: 1.27, 95%CI: 1.09- 1.47). Body shape index, body roundness index, and body adiposity index showed no significant association with frailty. Moreover, a BMI greater than 29 kg/m2 increased the odds of frailty and prefrailty by 79% (OR = 1.79, 95%CI = 1.30- 2.46, P < 0.001).

Conclusion

Results of this study showed that the risk of frailty increases as BMI and abdominal obesity indices increase. Therefore, BMI and abdominal obesity indices (WC, WHR, and WHtR) could serve as suitable tools for evaluating frailty in the elderly. However, additional studies are needed to evaluate the utility of the newly developed anthropometric indices in older adults.

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.

Exploring the metabolomics profile of frailty- a systematic review

Background

Frailty is a multifaceted geriatric syndrome characterized by an increased vulnerability to stressful events. metabolomics studies are valuable tool for better understanding the underlying mechanisms of pathologic conditions. This review aimed to elucidate the metabolomics profile of frailty.

Method

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) 2020 statement. A comprehensive search was conducted across multiple databases. Initially, 5027 results were retrieved, and after removing duplicates, 1838 unique studies were subjected to screening. Subsequently, 248 studies underwent full-text screening, with 21 studies ultimately included in the analysis. Data extraction was performed meticulously by two authors, and the quality of the selected studies was assessed using the Critical Appraisal Skills Program (CASP) checklist.

Results

The findings revealed that certain Branched-chain amino acids (BCAAs) levels were lower in frail subjects compared to robust subjects, while levels of glutamate and glutamine were higher in frail individuals. Moreover, sphingomyelins and phosphatidylcholines (PC) displayed a decreasing trend as frailty advanced. Additionally, other metabolic derivatives, such as carnitine, exhibited significant associations with frailty. These metabolites were primarily interconnected through biochemical pathways related to the tricarboxylic acid and urea cycles. Notably, frailty was associated with a decrease in metabolic derivatives, including carnitine.

Conclusion

This study underscores the intricate relationship between essential metabolites, including amino acids and lipids, and their varying levels in frail individuals compared to their robust counterparts. It provides a comprehensive panel of metabolites, shedding light on their potential associations with frailty and expanding our understanding of this complex syndrome.

Frailty and spatialization of older adults in the city of Uberlândia with IVCF-20

OBJECTIVE

To describe the functional clinical profile of elderly people linked to primary health care, using the Functional Clinical Vulnerability Index (IVCF-20) and to spatialize those with the greatest functional decline by primary health care units in the municipality of Uberlândia, in the state of Minas Gerais (MG), in the year 2022.

METHODS

A cross-sectional study with secondary data from the Municipal Health Department of Uberlândia-MG. The variables were compared using Student's t-test, Mann Whitney test, Pearson's chi-square, and multinomial logistic regression to obtain the independent effect of each variable. The significance level adopted was 5% (p < 0.05). The georeferenced database in ArcGIS® was used.

RESULTS

47,182 older adults were evaluated with a mean age of 70.3 years (60 to 113 years), 27,138 of whom were women (57.52%), with a clear predominance of low-risk or robust older adults (69.40%). However, 11.09% are high-risk older adults and 19.52% are at risk of frailty. Older men had independently lower odds of moderate and high risk compared to older women (OR = 0.53; p < 0.001). A high prevalence of polypharmacy was observed, 21.40% of the older adult population, particularly in frail older adults, with a prevalence of 63.08%. There was a greater distribution of frail older adults around the central region of the municipality and in health units with a larger coverage area. The IVCF-20 made it possible to screen frailty in primary health care.

CONCLUSION

The instrument is capable of stratifying the risk of older adults in health care networks through primary health care, enabling the application of individualized preventive, promotional, palliative, or rehabilitative interventions, according to the clinical functional stratum of the older adult and the compromised functional domains. Risk stratification and spatial distribution of the frailest older adults can be a good strategy for qualifying health professionals with the aim of maximizing the autonomy and independence of the older adults.

Drug-Induced Liver Injury in the Elderly: Consensus Statements and Recommendations from the IQ-DILI Initiative

The elderly demographic is the fastest-growing segment of the world's population and is projected to exceed 1.5 billion people by 2050. With multimorbidity, polypharmacy, susceptibility to drug-drug interactions, and frailty as distinct risk factors, elderly patients are especially vulnerable to developing potentially life-threatening safety events such as serious forms of drug-induced liver injury (DILI). It has been a longstanding shortcoming that elderly individuals are often a vulnerable population underrepresented in clinical trials. As such, an improved understanding of DILI in the elderly is a high-priority, unmet need. This challenge is underscored by recent documents put forward by the U.S. Food and Drug Administration (FDA) and European Medicines Agency (EMA) that encourage data collection in the elderly and recommend improved practices that will facilitate a more inclusive approach. To establish what is already known about DILI in the elderly and pinpoint key gaps of knowledge in this arena, a working definition of "elderly" is required that accounts for both chronologic and biologic ages and varying states of frailty. In addition, it is critical to characterize the biological role of aging on liver function, as well as the different epidemiological factors such as polypharmacy and inappropriate prescribing that are common practices. While data may not show that elderly people are more susceptible to DILI, DILI due to specific drugs might be more common in this population. Improved characterization of DILI in the elderly may enhance diagnostic and prognostic capabilities and improve the way in which liver safety is monitored during clinical trials. This summary of the published literature provides a framework to understand and evaluate the risk of DILI in the elderly. Consensus statements and recommendations can help to optimize medical care and catalyze collaborations between academic clinicians, drug manufacturers, and regulatory scientists to enable the generation of high-quality research data relevant to the elderly population.

Factors Associated With PIM use in the Frail Elderly: A Cross-sectional Study

Background: The use of potentially inappropriate medications (PIM) by the elderly is commonly studied, but studies evaluating the use of PIM by frail elderly covered by prepaid health plans are still lacking. Objective: To identify the prevalence of use and the factors associated with the use of PIM by the elderly patients with high and moderate risk of clinical-functional vulnerability, according to the Beers criteria 2019. Methods: A cross-sectional study was developed with elderly people from a private health plan in Vitória-ES, Brazil. Socioeconomic, demographic and clinical data were collected through a digital platform and a structured questionnaire through an interview, from October 2018 to June 2019. The association between the use of PIM and independent variables was verified by univariate logistic regression with their respective confidence intervals (CI) 95%. The Multiple Model included the variables with P ≤ .20. Results: 332 elderly patients were interviewed (mean age 81.5 years, gender 237 female, 95 male). A 65% prevalence of PIM use was identified. In the multiple logistic regression model, the variables associated with the use of PIM were self-medication (P = .004), high risk of clinical-functional vulnerability (P = .022), use of psychotropic medications (P = .000001), musculoskeletal medications (P = .04) and alimentary tract medications (P = .03). Physical exercises were considered a protection factor (P = .02). Conclusion: The high prevalence of PIM use indicates the need for improvement in elderly private health care, to increase pharmacotherapy safety for this population.

The Impact of Frailty on Surgical Outcome of Patients with Lumbar Spinal Canal Stenosis

Introduction

Frailty is an important factor in surgical outcomes. The current study aimed to evaluate the effect of preoperative frailty on postoperative outcomes in older patients with lumbar spinal canal stenosis (LSCS).

Methods

We retrospectively examined 209 patients aged ≥65 years who underwent surgery for LSCS. Health-related quality-of-life (HRQOL) tools, including the Roland-Morris Disability Questionnaire (RDQ), Zurich Claudication Questionnaire (ZCQ), and Japanese Orthopaedic Association Back Pain Evaluation Questionnaire (JOABPEQ), were used in the assessment conducted before surgery and at 6 months and 1 year after surgery. Frailty was categorized based on the 11-item modified frailty index (mFI-11). Patients with mFI-11 of 0, <0.21, and >0.21 were classified under the robust (R), pre-frailty (P), and frailty (F) groups, respectively.

Results

According to the mFI-11, 24, 138, and 47 patients were included in the R, P, and F groups, respectively. Regarding preoperative radiographic parameters, there was a remarkable increase in the sagittal vertical axis and a significant decrease in the development of lumbar lordosis with frailty progression. The preoperative scores of RDQ and ZCQ, and lumbar function, walking ability, social life, and psychological disorder domain scores of JOABPEQ differed significantly among these groups. The frequency of revision surgery was not higher in the F group than in the other groups. After adjustment for factors have shown different distributions among the three groups, the frequency of effective surgical cases did not show a clear trend among the three groups in all domains of the JOABPEQ.

Conclusions

The preoperative HRQOL scores and the radiographic parameters of patients with LSCS worsened with frailty severity. However, frailty did not affect the rate of revision surgery and surgical efficacy in patients with LSCS. Although this study has limitations, our findings indicated that even LSCS patients with frailty can be considered for surgery if they have an indication for LSCS surgery.

The Association between Functional Health Patterns and Frailty in Hospitalized Geriatric Patients

This study investigates the association between the Functional Health Pattern Assessment Screening Tool (FHPAST) and frailty in hospitalized geriatric patients. One hundred and forty patients (mean age 78.2 years, age range 65-90) were screened for frailty using the Frail Scale during hospitalization in the geriatric unit. Among them, 57 patients were identified as prefrail (40.7%), and 83 were identified as frail (59.3%). A comparative analysis between groups in terms of the FHPAST components covering health risk, general well-being, and health promotion was performed. Correlations between FHAPST components, socio-demographic data, frailty criteria, as well as logistic regression to identify variables that better predict frailty were also sought. Frailty was mainly associated with difficulty urinating, limitations in performing activities of daily living and walking, physical discomfort, less positive feelings in controlling one's own life, lower compliance with recommendations from the healthcare provider, and engagement in seeking healthcare services. Patients with difficulty urinating and walking had a probability of 4.38 times (OR = 4.38, CI 95% [1.20-15.94]), p = 0.025) and 65.7 times (OR = 65.7, CI 95% [19.37-223.17], p < 0.001) higher of being frail rather than prefrail. The relationship between frailty and prefrailty in hospitalized geriatric patients and components of nursing Functional Health Patterns (FHP) has yet to be explored. This study provides evidence of the most prevalent needs of frail geriatric patients in hospital settings.

Characterization of social frailty domains and related adverse health outcomes in the Asia-Pacific: a systematic literature review

Background

Frailty is a significant healthcare challenge worldwide, increasing interest in developing more assessment tools covering for frailty. Recently, there has been a growing awareness of a correlation between social variables and frailty in older people. However, there is a lack of understanding of the social domains of frailty and the related adverse outcomes, particularly in the Asia-Pacific settings. This study aimed to characterize the social frailty domains and their health outcomes by overviewing the frailty screening tools in older people living in the Asia-Pacific region.

Methodology

A systematic review, using the PRISMA guideline, was conducted on articles published between 2002 and 2023 from three electronic databases: PubMed, Scopus, and ScienceDirect. A manual search was conducted for the references of the included articles using Google Scholar. Included articles must be in English and were based on empirical evidence published in peer-reviewed journals and focus on the assessment of domains of social frailty in older people aged 60 or over in the Asia-Pacific (East Asia, Southeast Asia, and Oceania).

Result

A total of 31 studies were included in the thematic analysis, from which 16 screening tools measuring six social domains were reviewed. The six domains were: social networks, followed by social activities, social support, financial difficulties, social roles, and socioeconomic, arranged in four categories: social resources, social needs, social behaviors (or social activities), and general resources. The six social domains predicted mortality, physical difficulties, and disability incidence. Other adverse health outcomes were also associated with these social domains, including cognitive disorders, mental illness, and nutritional disorders (n = 5 domains each), dementia (n = 4 domains), and oral frailty, hearing loss, obesity, and chronic pain (n = 3 domains each).

Conclusion

Overall, social frailty is a complex construct with multiple dimensions, including the frailty of social and general resources, social behaviors, and social needs, leading to several health disorders. The findings contribute to understanding the conceptual framework of social frailty in older people and its related health outcomes. Therefore, it could facilitate professionals and researchers to monitor and reduce the risks of adverse health outcomes related to each domain of social frailty, contributing to a better aging process.

Frailty assessment of older patients in the emergency department

An ageing population is leading to an increase in patients attending emergency departments (EDs) with comorbidities and age-related syndromes such as frailty. Frailty is a clinical syndrome defined as an increased vulnerability to age-related or disease-related insults in older adults due to diminishing physiological reserves. It also places increased demands on staff and hospital services. Screening for frailty early in the care pathway ensures goal-directed and timely care. This article provides an overview of frailty and its assessment in older people presenting to the ED. It discusses the most commonly used frailty assessment tool in the ED, the Clinical Frailty Scale, and identifies that the results of frailty assessment should be used to initiate appropriate individualised care in older patients.

The measurement properties and feasibility of FRAIL scale in older adults: A systematic review and meta-analysis

Frailty is a prevalent condition amongst older adults, significantly affecting their quality of life. The FRAIL tool has been purposefully designed for clinical application by assisting healthcare professionals in identifying and managing frailty-related issues in older adults, making it a preferred choice for assessing frailty across diverse older populations. This review aimed to synthesize the measurement properties and feasibility of FRAIL. Guided by COSMIN guidelines, seven databases were searched from inception to 31 Mar 2023. The measurement properties were extracted for quality appraisal of the populations in the studied samples. Where possible, random-effects meta-analysis and meta-regression were used for quantitative synthesis. Eighteen articles containing 273 tests were drawn from 14 different populations. We found that populations testing for criterion validity had high-quality ratings, while construct validity ratings varied based on health status and geographical region. Test-retest reliability had sufficient quality ratings, while scale agreement had sufficient ratings in only four out of 14 populations tested. Responsiveness ratings were insufficient in seven out of eight populations, with inconsistent ratings in one population. Our analysis of missing data across three articles showed a 16.3% rate, indicating good feasibility of the FRAIL. FRAIL is a feasible tool for assessing frailty of older adults in community settings, with good criterion validity and test-retest reliability. However, more research is needed on construct validity and responsiveness.

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.

To Be Frail or Not to Be Frail: This Is the Question-A Critical Narrative Review of Frailty

Many factors have contributed to rendering frailty an emerging, relevant, and very popular concept. First, many pandemics that have affected humanity in history, including COVID-19, most recently, have had more severe effects on frail people compared to non-frail ones. Second, the increase in human life expectancy observed in many developed countries, including Italy has led to a rise in the percentage of the older population that is more likely to be frail, which is why frailty is much a more common concern among geriatricians compared to other the various health-care professionals. Third, the stratification of people according to the occurrence and the degree of frailty allows healthcare decision makers to adequately plan for the allocation of available human professional and economic resources. Since frailty is considered to be fully preventable, there are relevant consequences in terms of potential benefits both in terms of the clinical outcome and healthcare costs. Frailty is becoming a popular, pervasive, and almost omnipresent concept in many different contexts, including clinical medicine, physical health, lifestyle behavior, mental health, health policy, and socio-economic planning sciences. The emergence of the new "science of frailty" has been recently acknowledged. However, there is still debate on the exact definition of frailty, the pathogenic mechanisms involved, the most appropriate method to assess frailty, and consequently, who should be considered frail. This narrative review aims to analyze frailty from many different aspects and points of view, with a special focus on the proposed pathogenic mechanisms, the various factors that have been considered in the assessment of frailty, and the emerging role of biomarkers in the early recognition of frailty, particularly on the role of mitochondria. According to the extensive literature on this topic, it is clear that frailty is a very complex syndrome, involving many different domains and affecting multiple physiological systems. Therefore, its management should be directed towards a comprehensive and multifaceted holistic approach and a personalized intervention strategy to slow down its progression or even to completely reverse the course of this condition.

Perspectives on the representation of frailty in the electronic frailty index

BACKGROUND

Frailty is a state of increased vulnerability from physical, social, and cognitive factors resulting in greater risk of negative health-related outcomes and increased healthcare expenditure. A 36-factor electronic frailty index (eFI) developed in the United Kingdom calculates frailty scores using electronic medical record data. There is currently no standardization of frailty screening in Canadian primary care. In order to implement the eFI in a Canadian context, adaptation of the tool is necessary because frailty is represented by different clinical terminologies in the UK and Canada. In considering the promise of implementing an eFI in British Columbia, Canada, we first looked at the content validation of the 36-factor eFI. Our research question was: Does the eFI represent frailty from the perspectives of primary care clinicians and older adults in British Columbia?

METHODS

A modified Delphi using three rounds of questionnaires with a panel of 23 experts (five family physicians, five nurse practitioners, five nurses, four allied health professionals, four older adults) reviewed and provided feedback on the 36-factor eFI. These professional groups were chosen because they closely work as interprofessional teams within primary care settings with older adults. Older adults provide real life context and experiences. Questionnaires involved rating the importance of each frailty factor on a 0-10 scale and providing rationale for ratings. Panelists were also given the opportunity to suggest additional factors that ought to be included in the screening tool. Suggested factors were similarly rated in two Delphi rounds.

RESULTS

Thirty-three of the 36 eFI factors achieved consensus (> 80% of panelists provided a rating of ≥ 8). Factors that did not achieve consensus were hypertension, thyroid disorder and peptic ulcer. These factors were perceived as easily treatable or manageable and/or not considered reflective of frailty on their own. Additional factors suggested by panelists that achieved consensus included: cancer, challenges to healthcare access, chronic pain, communication challenges, fecal incontinence, food insecurity, liver failure/cirrhosis, mental health challenges, medication noncompliance, poverty/financial difficulties, race/ethnic disparity, sedentary/low activity levels, and substance use/misuse. There was a 100% retention rate in each of the three Delphi rounds.

CONCLUSIONS AND NEXT STEPS

Three key findings emerged from this study: the conceptualization of frailty varied across participants, identification of frailty in community/primary care remains challenging, and social determinants of health affect clinicians' assessments and perceptions of frailty status. This study will inform the next phase of a broader mixed-method sequential study to build a frailty screening tool that could ultimately become a standard of practice for frailty screening in Canadian primary care. Early detection of frailty can help tailor decision making, frame discussions about goals of care, prevent advancement on the frailty trajectory, and ultimately decrease health expenditures, leading to improved patient and system level outcomes.

Association between frailty and locomotive syndrome in elderly patients with lumbar spinal stenosis: A retrospective longitudinal analysis

AIMS

With the aging society worldwide, lumbar spinal stenosis (LSS) has become common, and its incidence has been increasing worldwide. Frailty and locomotive syndrome significantly overlap as disorders in older people. The current study aimed to validate the association between frailty and locomotive syndrome in patients with LSS. In particular, the involvement of frailty in locomotive syndrome following surgery was examined.

METHODS

We retrospectively reviewed the time-course data of consecutive patients aged ≥65 years who underwent lumbar spinal surgery for LSS. The locomotive syndrome stages were determined using the 25-Question Geriatric Locomotive Function Scale: stage 0, score ≤6; stage 1, score ≥7; stage 2, score ≥16; and Stage 3, score ≥24. Robust, pre-frailty, and frailty were defined as a modified frailty index-11 score of 0, <0.21, and >0.21, respectively.

RESULTS

This study included 234 patients. All patients except one were diagnosed with locomotive syndrome preoperatively. Approximately 24.8% of participants were diagnosed with frailty. LSS surgery improved locomotive syndrome regardless of frailty severity. Meanwhile, multivariable analysis indicated that frailty could significantly inhibit improvement in locomotive syndrome after surgery in old patients with LSS (estimated relative risk: 0.6; 95% confidence interval: 0.4-0.9).

CONCLUSIONS

This study first assessed the association between locomotive syndrome and frailty in patients with LSS. Locomotive syndrome could be managed effectively with surgery regardless of frailty severity in old patients with LSS. However, our findings emphasize the need to screen for frailty preoperatively in this patient group. Geriatr Gerontol Int 2024; 24: 116-122.

Prevalence and correlates of frailty in older hypertensive outpatients according to different tools: the HYPER-FRAIL pilot study

OBJECTIVES

To date, few studies have investigated frailty in hypertensive individuals. This study aimed at identifying the prevalence of frailty in a sample of hypertensive older outpatients using six different identification tools. Clinical correlates of frailty and agreement between different frailty definitions were also investigated.

METHODS

The HYPER-FRAIL pilot study recruited hypertensive patients aged at least 75 years from two geriatric outpatient clinics of Careggi Hospital, Florence, Italy. Four frailty scales [Fried Frailty Phenotype, Frailty Index, Clinical Frailty Scale (CFS), Frailty Postal Score] and two physical performance tests [Short Physical Performance Battery (SPPB) and usual gait speed] were applied. The Cohen's kappa coefficient was calculated to assess agreement between measures. Multiple logistic regression was used to identify clinical features independently associated with frailty.

RESULTS

Among 121 participants (mean age 81, 60% women), frailty prevalence varied between 33 and 50% according to the tool used. Moderate agreement was observed between Fried Frailty Phenotype, Frailty Index and SPPB, and between Frailty Index and CFS. Agreement was minimal or weak between the remaining measures (K < 0.60). Use of walking aids and depressive symptoms were independently associated with frailty, regardless of the definition used. Frailty correlates also included dementia, disability and comorbidity burden, but not office and 24-h blood pressure values.

CONCLUSION

Frailty is highly prevalent among older hypertensive outpatients, but agreement between different frailty tools was moderate-to-weak. Longitudinal studies are needed to assess the prognostic role of different frailty tools and their clinical utility in the choice of antihypertensive treatment.

Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol

INTRODUCTION

Rapid population ageing and associated health issues such as frailty are a growing public health concern. While early identification and management of frailty may limit adverse health outcomes, the complex presentations of frailty pose challenges for clinicians. Artificial intelligence (AI) has emerged as a potential solution to support the early identification and management of frailty. In order to provide a comprehensive overview of current evidence regarding the development and use of AI technologies including machine learning and deep learning for the identification and management of frailty, this protocol outlines a scoping review aiming to identify and present available information in this area. Specifically, this protocol describes a review that will focus on the clinical tools and frameworks used to assess frailty, the outcomes that have been evaluated and the involvement of knowledge users in the development, implementation and evaluation of AI methods and tools for frailty care in clinical settings.

METHODS AND ANALYSIS

This scoping review protocol details a systematic search of eight major academic databases, including Medline, Embase, PsycInfo, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Ageline, Web of Science, Scopus and Institute of Electrical and Electronics Engineers (IEEE) Xplore using the framework developed by Arksey and O'Malley and enhanced by Levac et al and the Joanna Briggs Institute. The search strategy has been designed in consultation with a librarian. Two independent reviewers will screen titles and abstracts, followed by full texts, for eligibility and then chart the data using a piloted data charting form. Results will be collated and presented through a narrative summary, tables and figures.

ETHICS AND DISSEMINATION

Since this study is based on publicly available information, ethics approval is not required. Findings will be communicated with healthcare providers, caregivers, patients and research and health programme funders through peer-reviewed publications, presentations and an infographic.

REGISTRATION DETAILS

OSF Registries (https://doi.org/10.17605/OSF.IO/T54G8).

Cellular senescence and frailty: a comprehensive insight into the causal links

Senescent cells may have a prominent role in driving inflammation and frailty. The impact of cellular senescence on frailty varies depending on the assessment tool used, as it is influenced by the criteria or items predominantly affected by senescent cells and the varying weights assigned to these items across different health domains. To address this challenge, we undertook a thorough review of all available studies involving gain- or loss-of-function experiments as well as interventions targeting senescent cells, focusing our attention on those studies that examined outcomes based on the individual frailty phenotype criteria or specific items used to calculate two humans (35 and 70 items) and one mouse (31 items) frailty indexes. Based on the calculation of a simple "evidence score," we found that the burden of senescent cells related to musculoskeletal and cerebral health has the strongest causal link to frailty. We deem that insight into these mechanisms may not only contribute to clarifying the role of cellular senescence in frailty but could additionally provide multiple therapeutic opportunities to help the future development of a desirable personalized therapy in these extremely heterogeneous patients.

A systematic review of frailty assessment tools used in vascular surgery research

OBJECTIVE

Frailty is common in vascular patients and is recognized for its prognostic value. In the absence of consensus, a multitude of frailty assessment tools exist. This systematic review aimed to quantify the variety in these tools and describe their content and application to inform future research and clinical practice.

METHODS

Multiple cross-disciplinary electronic literature databases were searched from inception to August 2022. Studies describing frailty assessment in a vascular surgical population were eligible. Data extraction to a validated template included patient demographics, tool content, and analysis methods. A secondary systematic search for papers describing the psychometric properties of commonly used frailty tools was then performed.

RESULTS

Screening 5358 records identified 111 eligible studies, with an aggregate population of 5,418,236 patients. Forty-three differing frailty assessment tools were identified. One-third of these failed to assess frailty as a multidomain deficit and there was a reliance on assessing function and presence of comorbidity. Substantial methodological variability in data analysis and lack of methodological description was also identified. Published psychometric assessment was available for only 4 of the 10 most commonly used frailty tools. The Clinical Frailty Scale was the most studied and demonstrates good psychometric properties within a surgical population.

CONCLUSIONS

Substantial heterogeneity in frailty assessment is demonstrated, precluding meaningful comparisons of services and data pooling. A uniform approach to assessment is required to guide future frailty research. Based on the literature, we make the following recommendations: frailty should be considered a continuous construct and the reporting of frailty tools' application needs standardized. In the absence of consensus, the Clinical Frailty Scale is a validated tool with good psychometric properties that demonstrates usefulness in vascular surgery.

Validated frailty measures using electronic primary care records: a review of diagnostic test accuracy

INTRODUCTION

Identification of people who have or are at risk of frailty enables targeted interventions, and the use of tools that screen for frailty using electronic records (which we term as validated electronic frailty measures (VEFMs)) within primary care is incentivised by NHS England. We carried out a systematic review to establish the sensitivity and specificity of available primary care VEFMs when compared to a reference standard in-person assessment.

METHODS

Medline, Pubmed, CENTRAL, CINHAL and Embase searches identified studies comparing a primary care VEFM with in-person assessment. Studies were quality assessed using Quality Assessment of Diagnostic Accuracy Studies revised tool. Sensitivity and specificity values were extracted or were calculated and pooled using StatsDirect.

RESULTS

There were 2,245 titles screened, with 10 studies included. These described three different index tests: electronic frailty index (eFI), claims-based frailty index (cFI) and polypharmacy. Frailty Phenotype was the reference standard in each study. One study of 60 patients examined the eFI, reporting a sensitivity of 0.84 (95% CI = 0.55, 0.98) and a specificity of 0.78 (0.64, 0.89). Two studies of 7,679 patients examined cFI, with a pooled sensitivity of 0.48 (95% CI = 0.23, 0.74) and a specificity of 0.80 (0.53, 0.98). Seven studies of 34,328 patients examined a polypharmacy as a screening tool (defined as more than or equal to five medications) with a pooled sensitivity of 0.61 (95% CI = 0.50, 0.72) and a specificity of 0.66 (0.58, 0.73).

CONCLUSIONS

eFI is the best-performing VEFM; however, based on our analysis of an average UK GP practice, it would return a high number of false-positive results. In conclusion, existing electronic frailty tools may not be appropriate for primary care-based population screening.

Impact of Frailty on Emergency Department Encounters for Cardiovascular Disease: A Retrospective Cohort Study

Data are limited on whether the causes of emergency department (ED) encounters for cardiovascular diseases (CVDs) and associated clinical outcomes vary by frailty status. Using the United States Nationwide ED Sample, selected CVD encounters (acute myocardial infarction [AMI], ischemic stroke, atrial fibrillation [AF], heart failure [HF], pulmonary embolism, cardiac arrest, and hemorrhagic stroke) were stratified by hospital frailty risk score (HFRS). Logistic regression was used to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of ED mortality among the different frailty groups. A total of 8,577,028 selected CVD ED encounters were included. A total of 5,120,843 (59.7%) had a low HFRS (<5), 3,041,699 (35.5%) had an intermediate HFRS (5 to 15), and 414,485 (4.8%) had a high HFRS (>15). Ischemic stroke was the most common reason for the encounter in the high HFRS group (66.9%), followed by hemorrhagic stroke (11.7%) and AMI (7.2%). For the low HFRS group, AF was the most common reason for the encounter (30.2%), followed by AMI (23.6%) and HF (16.8%). Compared with the low-risk group, high-risk patients had a decreased ED mortality and an increased overall mortality across most CVD encounters (p <0.001). The strongest association with overall mortality was observed among patients with a high HFRS admitted for AF (aOR 27.14, 95% CI 25.03 to 29.43) and HF (aOR 13.71, 95% CI 12.95 to 14.51) compared with their low-risk counterparts. In conclusion, patients presenting to the ED with acute CVD have a significant frailty burden, with different patterns of CVD according to frailty status. Frailty is associated with an increased all-cause mortality in patients for most CVD encounters.