FRAIL scale: Predictive validity and diagnostic test accuracy

Prehabilitation Consultation on Self-Care and Physical Exercise in Patients Diagnosed with Abdominopelvic Cancer: Protocol of the Study

BACKGROUND

Introduction: Prehabilitation in the field of oncology has been defined as "the process in the continuum of care that occurs between diagnosis and the start of treatment involving physical and psychological measures that determine the patient's baseline functional status."

AIM

To determine the effectiveness of a Prehabilitation consultation on self-care and targeted physical exercise for patients diagnosed with abdominopelvic cancer.

DESIGN

An observational study that will evaluate the pre-post efficacy of an ad-hoc designed Prehabilitation intervention. The study population consists of patients diagnosed with colon or gynecological cancer with a surgical indication as part of their therapeutic plan from the General Surgery Services. It is configured around four key interventions: (a) health education and self-care, (b) specific nutritional counseling, (c) initial psychological assessment, and (d) directed physical exercise intervention. Health education, self-care interventions, and physical exercise will be carried out weekly from diagnosis to the scheduled surgery day.

RESULTS

Aspects such as self-care capacity or agency, perioperative anxiety, aerobic capacity, strength and flexibility, postoperative complications, and recovery time to adjuvant treatment will be measured using tools such as Appraisal of self-care agency scale (ASA), State Trait Anxiety Inventory (STAI), walking test, sit and Reach, Hand Grip or Squad Jump.

CONCLUSION

Utilizing validated tools for analyzing selected variables will contribute to refining and expanding care guidelines, ultimately enhancing support for both patients and their caregivers.

Psychometric Properties of the FRAIL Scale for Frailty Screening: A Scoping Review

OBJECTIVES

The aim of this study was to identify and map the available psychometric evidence of the FRAIL scale to screen frailty among older adults.

DESIGN

Scoping review of published articles on 9 databases (PubMed, Scopus, Web of Science, CINAHL, Cochrane, Embase, PsycINFO, VHL Regional Portal, and Epistemonikos) and 8 gray literature sources.

SETTING AND PARTICIPANTS

Studies in adults or older adults, in both inpatient and outpatient settings (without context restrictions).

METHODS

Cross-cultural adaptations, validity and reliability evidence studies, whose main objective was to develop and/or validate and/or culturally adapt the FRAIL Scale to assess frailty in adults or older adults, published since 2007 were included in this scoping review. The databases were searched between February and March 2023.The JBI methodology for scoping reviews was used to guide the process. The protocol of this study was registered on the Open Science Framework platform.

RESULTS

Of the 1031 records found during the search, 40 articles that met the established criteria for analysis were included. Nearly 1 in 10 countries worldwide (11.9%) have psychometric evidence regarding this scale. Ten studies were identified with the goal of cross-cultural adaptation and/or validation in a different cultural context for the first time. Twenty-one of 40 studies used Morley 2012 operationalization of FRAIL Scale criteria. Thirty-nine studies provided evidence of associations with other variables. The rest of the evidence for content, internal structure, response processes, and reliability was only evaluated in cross-cultural adaptation studies, with limitations.

CONCLUSIONS AND IMPLICATIONS

In conclusion, there is some evidence of validity for FRAIL Scale; nevertheless, studies are needed to adapt the scale to new cultures, using rigorous Cross-Cultural Adaptation processes, and to provide new evidence of validity and reliability, to strengthen and consolidate the body of knowledge for its application to various patient groups and context.

The effect of the nutritional status and dietary inflammatory index on frailty and activities of daily living in geriatric outpatients

BACKGROUND

It has been reported that the inflammatory process plays a role in the pathophysiology of frailty in elderly individuals and that diet is effective in regulating chronic inflammation.

OBJECTIVE

This study aims to evaluate the effects of nutritional status and dietary inflammatory index on frailty and activities of daily living in the elderly.

METHOD

A cross-sectional study in a hospital in Turkey has been carried out with 187 over the age of 65 who presented to the geriatric outpatient clinic participants. Anthropometric measurements of the patients were recorded, and the dietary inflammatory index (DII) was calculated using the 24-h dietary recall method. Mini Nutritional Assessment (MNA) was used to determine the malnutrition risk, the FRAIL scale was used for frailty assessment, and Katz and Lawton & Brody scales were used for daily living activities.

RESULTS

The mean age of the elderly is 70.83 ± 4.98 years. The frailty rate was determined to be 28.3%. The DII score was determined as 4.41 ± 5.16 in frail patients and 1.62 ± 4.39 in non-frail patients (p < 0.05). While DII showed a negative correlation with the Lawton & Brody scale score (r =  - 0.353), MNA was positively correlated to the Katz score (r = 0.386, p = 0.000) and the Lawton & Brody score (r = 0.475). In addition, one-unit increase in the MNA score was associated with a 29% decrease in the risk of frailty.

CONCLUSIONS

The dietary inflammatory index was found to be high in frail and malnourished individuals. It was determined that the quality of life of individuals with malnutrition decreased.

The feasibility, acceptability and appropriateness of screening for frailty in Australians aged 75 years and over attending Australian general practice

Background Globally, frailty is associated with a high prevalence of avoidable hospital admissions and emergency department visits, with substantial associated healthcare and personal costs. International guidelines recommend incorporation of frailty identification and care planning into routine primary care workflow to support patients who may be identified as pre-frail/frail. Our study aimed to: (1) determine the feasibility, acceptability, appropriateness and determinants of implementing a validated FRAIL Scale screening Tool into general practices in two disparate Australian regions (Sydney North and Brisbane South); and (2) map the resources and referral options required to support frailty management and potential reversal. Methods Using the FRAIL Scale Tool, practices screened eligible patients (aged ≥75years) for risk of frailty and referred to associated management options. The percentage of patients identified as frail/pre-frail, and management options and referrals made by practice staff for those identified as frail/pre-frail were recorded. Semi-structured qualitative interviews were conducted with practice staff to understand the feasibility, acceptability, appropriateness and determinants of implementing the Tool. Results The Tool was implemented by 19 general practices in two Primary Health Networks and 1071 consenting patients were assessed. Overall, 80% of patients (n =860) met the criterion for frailty: 33% of patients (n =352) were frail, and 47% were pre-frail (n =508). They were predominantly then referred for exercise prescription, medication reviews and geriatric assessment. The Tool was acceptable to staff and patients and compatible with practice workflows. Conclusions This study demonstrates that frailty is identified frequently in Australians aged ≥75years who visit their general practice. It's identification, linked with management support to reverse or reduce frailty risk, can be readily incorporated into the Medicare-funded annual 75+ Health Assessment.

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.

Screening for Frailty Using the FRAIL Scale in Older Cancer Survivors: A Cross-sectional Comparison With the Fried Phenotype

OBJECTIVES

To examine the diagnostic performance of the FRAIL Scale for frailty screening with reference to the Fried phenotype and investigate its association with health outcomes in older cancer survivors.

DATA SOURCE

In this cross-sectional quantitative study, participants were post-treatment cancer survivors aged 65 or above. Measurements included the FRAIL Scale, Fried phenotype, Geriatric Depression Scale-15 item, Modified Barthel Inventory, and EORTC Core Quality of Life Questionnaire. Receiver operating characteristic curve analysis was performed to evaluate the diagnostic performance of the FRAIL Scale with reference to the Fried phenotype. Health outcomes associated with being frail as estimated by the FRAIL Scale and Fried phenotype were also examined using regressions.

RESULTS

Based on 293 older cancer survivors, the area under curve (AUC) of the FRAIL Scale was 0.79, and the optimal cut-off of 1 yielded a sensitivity of 92% and specificity of 41%. According to regression results, the FRAIL Scale was modified by adding an item on time since cancer treatment completion (AUC = 0.81), and using a cut-off of 2 for older cancer survivors, which yielded a sensitivity of 74% and specificity of 67%. The modified FRAIL Scale was associated with depressive symptoms, functional independence, fatigue, dyspnea, physical functioning, and role functioning.

CONCLUSIONS

The modified FRAIL Scale is proposed for use in older cancer survivors, and a cut-off of 2 should be used.

IMPLICATIONS FOR NURSING PRACTICE

The modified FRAIL Scale can serve as a brief screening tool for identifying frailty among older cancer survivors in practice.

A new risk calculation model for complications of hepatectomy in adults over 75

BACKGROUND

Owing to poor organ function reserve, older adults have a high risk of postoperative complications. However, there is no well-established system for assessing the risk of complications after hepatectomy in older adults.

METHODS

This study aimed to design a risk assessment tool to predict the risk of complications after hepatectomy in adults older than 75 years. A total of 326 patients were identified. A logistic regression equation was used to create the Risk Assessment System of Hepatectomy in Adults (RASHA) for the prediction of complications (Clavien‒Dindo classification ≥ II).

RESULTS

Multivariate correlation analysis revealed that comorbidity (≥ 5 kinds of disease or < 5 kinds of disease, odds ratio [OR] = 5.552, P < 0.001), fatigue (yes or no, OR = 4.630, P = 0.009), Child‒Pugh (B or A, OR = 4.211, P = 0.004), number of liver segments to be removed (≥ 3 or ≤ 2, OR = 4.101, P = 0.001), and adjacent organ resection (yes or no, OR = 1.523, P = 0.010) were independent risk factors for postoperative complications after hepatectomy in older persons (aged ≥ 75 years). A binomial logistic regression model was established to evaluate the RASHA score (including the RASHA scale and RASHA formula). The area under the curve (AUC) for the RASHA scale was 0.916, and the cut-off value was 12.5. The AUC for the RASHA formula was 0.801, and the cut-off value was 0.2106.

CONCLUSION

RASHA can be used to effectively predict the postoperative complications of hepatectomy through perioperative variables in adults older than 75 years.

TRIAL REGISTRATION

The Research Registry: researchregistry8531. https://www.researchregistry.com/browse-the-registry#home/registrationdetails/63901824ae49230021a5a0cf/ .

Prevalence and associated factors of frailty in patients with chronic kidney disease: a cross-sectional analysis of PEAKING study

AIM

 Frailty is common and is reported to be associated with adverse outcomes in patients with chronic diseases in Western countries. However, the prevalence of frailty remains unclear in individuals with chronic kidney disease (CKD) in China. We examined the prevalence of frailty and factors associated with frailty in patients with CKD.

METHODS

 This was a cross-sectional analysis of 177 adult patients (mean age 54 ± 15 years, 52% men) with CKD from the open cohort entitled Physical Evaluation and Adverse outcomes for patients with chronic Kidney disease IN Guangdong (PEAKING). Frailty at baseline were assessed by FRAIL scale which included five items: fatigue, resistance, ambulation, illnesses, and loss of weight. Potential risk factors of frailty including age, sex, body mass index, and daily step counts recorded by ActiGraph GT3X + accelerometer were analyzed by multivariate logistic regression analysis.

RESULTS

The prevalence of prefrailty and frailty was 50.0% and 11.9% in patients with stages 4-5 CKD, 29.6% and 9.3% in stage 3, and 32.1% and 0 in stages 1-2. In the multivariate logistic regression analysis, an increase of 100 steps per day (OR = 0.95, 95% CI 0.91-0.99, P = 0.01) and an increase of 5 units eGFR (OR = 0.82, 95% CI 0.68-0.99, P = 0.045) were inversely associated with being frail; higher BMI was associated with a higher likelihood of being frail (OR = 1.52, 95% CI 1.11-2.06, P = 0.008) and prefrail (OR = 1.25, 95% CI 1.10-1.42, P = 0.001).

CONCLUSION

 Frailty and prefrailty were common in patients with advanced CKD. A lower number of steps per day, lower eGFR, and a higher BMI were associated with frailty in this population.

Sleep quality, frailty and overall health among community-dwelling older people: A longitudinal study

AIMS

The aims of the study were to describe sleep quality among community-dwelling older people; determine the association between sleep quality (total and multidimensional), frailty and overall health; study frailty as a mediator in the association between sleep quality and overall health.

DESIGN

This longitudinal, correlative study used data from 2020 to 2022.

METHODS

A total of 181 community-dwelling older people in a city in Southeast China were assessed twice. Sleep quality was measured using the Pittsburgh Sleep Quality Index at Time 1 (year 2020); frailty was measured using the FRAIL scale, and overall health was measured using the EuroQol visual analogue scale at Time 1 and 2 (1 year later). Associations and indirect effects were examined using linear regression analyses using the PROCESS Macro (Model 4).

RESULTS

Poor sleep quality (higher scores) was associated with increased frailty over time (total scale), as well as subjective sleep quality, sleep duration, sleep efficiency and daytime dysfunction. Mediation analyses indicated that frailty change had an indirect effect on the association between sleep quality total score Time (T) 1 and overall health T2 and between the dimensions subjective sleep quality, sleep duration, sleep efficiency and daytime dysfunction and overall health. All analyses were adjusted for age, multimorbidity and overall health T1.

CONCLUSIONS

Poor sleep quality is a common problem associated with poor overall health after 1 year, and the progression of frailty mediates this association.

IMPACT

The findings provide a better understanding of the association between sleep quality and overall health and elucidate the mediating effect of frailty. Regular screening and effective treatment by healthcare providers for sleep problems and frailty in older people are necessary to improve their overall health and enhance healthy ageing.

PATIENT OR PUBLIC CONTRIBUTION

Participants in the study provided the data used for all data analysis in the manuscript. Patient or public were not involved in data analysis, interpretation or manuscript preparation. Staff in the community health centre helped with data collection.

Efficacy of a modified FRAIL scale in predicting the peri-operative outcome of hepatectomy in older adults (aged ≥ 75 years): a model development study

BACKGROUND

The FRAIL scale for evaluating frailty consists of five items: fatigue, resistance, aerobic, illness, and loss of weight. However, it is difficult to obtain a specific weight loss value. Since the Timed Up and Go Test (TUGT) is simple, accurate, and easy to perform, we replaced weight loss with the TUGT in the FRAIL scale, with the remaining four items unchanged, and named it the FRAIT scale. The aim of this study was to determine the value of the FRAIT scale in predicting the peri-operative outcome of hepatectomy.

METHODS

This model development study was conducted between January 2017 and December 2021. The reliability, validity and area under the curve (AUC) of the FRAIL/FRAIT scales were calculated. The frailty status of patients aged ≥ 75 years who underwent hepatectomy was measured using the FRAIL/FRAIT scales. Logistic regression was used to compare the relationship between FRAIL/FRAIT scores/grades and perioperative outcomes.

RESULTS

The AUCs for predicting operation duration, intraoperative bleeding, complications, and death based on the FRAIL score were 0.692, 0.740, 0.709, and 0.733, respectively, and those based on the FRAIT score were 0.700, 0.745, 0.708, and 0.724, respectively. The AUCs for predicting operation duration, intraoperative bleeding, complications, and death based on the FRAIL grade were 0.693, 0.735, 0.695, and 0.755, respectively, and those based on the FRAIT grades were 0.700, 0.758, 0.699, and 0.750, respectively. The FRAIL score has three effective predictors (intraoperative bleeding, complications, and death), while the FRAIT score has four effective predictors (operation duration, intraoperative bleeding, complications, and death). The FRAIL grade has two effective predictors (intraoperative bleeding and death), while the FRAIT grade has three effective predictors (operation duration, intraoperative bleeding, and death).

CONCLUSIONS

This study describes a new and more effective tool for the assessment of preoperative frailty in older adults undergoing hepatectomy. The items of the FRAIT scale are easier to obtain than those of the FRAIL scale, and the predictive effect of the FRAIT scale is stronger than that of the FRAIL scale.

Cognitive frailty in older adults with diabetes: prevalence and risk factors

In older adults living with diabetes, there is a higher prevalence of frailty and a greater risk of cognitive impairment. Cognitive frailty is defined by the presence of both and is associated with an increased risk of mortality. A systematic review was undertaken to estimate the prevalence of cognitive frailty in community-dwelling older adults living with diabetes and associated risk factors. This commentary critically appraises the review and explores the implications of the findings for community practice.

Analysis of the incidence of falls and related factors in elderly patients based on comprehensive geriatric assessment

Objective

To investigate the incidence of falls in elderly aged 65 years and above among outpatients and inpatients, and to analyze its related factors and identify prevention strategies.

Methods

A retrospective analysis was conducted on 451 patients aged 65 years and above who received comprehensive geriatric assessment in outpatients and inpatients from the Department of Geriatrics in the Second Xiangya Hospital from March 2021 to March 2022. According to whether there had been at least one fall in the past year, the patients were divided into a fall group and a non-fall group. Data were collected from the We-Chat applet of comprehensive geriatric assessment. A t test and chi-square test were performed to compare the difference between the two groups. Logistic regression analysis was then conducted to identify factors associated with falls.

Results

(1) The incidence of falls among the outpatient and inpatient was 28.8%. (2) The rate of light, moderate, and heavy dependence on daily living ability and decreased mobile balance ability were higher in the fall group than those in the non-fall group. The average calf circumference in the fall group was significantly lower than that in the non-fall group. (3) The prevalence of diabetes and eye diseases in the fall group was significantly higher than that in the non-fall group. (4) The percentage of insomnia and suspicious insomnia cases in the fall group was higher than that in the non-fall group. The mean scores for dysphagia, frailty, and incontinence were higher and the mean malnutrition score was lower in the fall group than in the non-fall group. (5) Multiple logistic regression analysis showed that frailty, insomnia, and malnutrition were independent influencing factors of fall (OR = 1.955, 1.652, 10.719, P = 0.044, 0.041, 0.025, respectively).

Conclusions

The incidence of falls among outpatients and inpatients aged 65 years and above is high. Frailty, insomnia, and malnutrition are the main factors influencing falls in these patients.

Diagnostic accuracy of the FRAIL scale for frailty screening in community-dwelling older adults with diabetes: A cross-sectional study

There is limited evidence on the diagnostic accuracy of the FRAIL scale in community-dwelling older adults with diabetes. This study aimed to validate the diagnostic accuracy and determine the optimal cutoff point of the FRAIL scale in community-dwelling older adults with diabetes using the Fried Frailty Phenotype as the reference standard. A total of 489 community-dwelling older adults with diabetes aged 60 or above were recruited in this cross-sectional study. The FRAIL scale showed good diagnostic accuracy for frailty screening. The optimal cutoff point for frailty screening in older adults with diabetes was 2. The agreement between the FRAIL scale and the Fried Frailty Phenotype was substantial. The FRAIL scale classified more participants as frail (29.24%) than the Fried Frailty Phenotype (22.09%). These findings provide evidence that the FRAIL scale is a valid tool that can be applied to community-dwelling older adults with diabetes.

Palliative Care Needs of Physically Frail Community-Dwelling Older Adults With Heart Failure

CONTEXT

Physical frailty is emerging as a potential "trigger" for palliative care (PC) consultation, but the PC needs of physically frail persons with heart failure (HF) in the outpatient setting have not been well described.

OBJECTIVES

This study describes the PC needs of community dwelling, physically frail persons with HF.

METHODS

We included persons with HF ≥50 years old who experienced ≥1 hospitalization in the prior year and excluded those with moderate/severe cognitive impairment, hospice patients, or non-English speaking persons. Measures included the FRAIL scale (0-5: 0 = robust, 1-2 = prefrail, 3-5 = frail) and the Integrated Palliative Outcome Scale (IPOS) (17 items, score 0-68; higher score = higher PC needs). Multiple linear regression tested the association between frailty group and palliative care needs.

RESULTS

Participants (N = 286) had a mean age of 68 (range 50-92) were majority male (63%) and White (68%) and averaged two hospitalizations annually. Most were physically frail (44%) or prefrail (41%). Mean PC needs (IPOS) score was 19.7 (range 0-58). On average, participants reported 5.86 (SD 4.28) PC needs affecting them moderately, severely, or overwhelmingly in the last week. Patient-perceived family/friend anxiety (58%) weakness/lack of energy (58%), and shortness of breath (47%) were the most prevalent needs. Frail participants had higher mean PC needs score (26) than prefrail (16, P < 0.001) or robust participants (11, P < 0.001). Frail participants experienced an average of 8.32 (SD 3.72) moderate/severe/overwhelming needs compared to prefrail (4.56, SD 3.77) and robust (2.39, SD 2.91) participants (P < 0.001). Frail participants reported higher prevalence of weakness/lack of energy (83%), shortness of breath (66%), and family/friend anxiety (69%) than prefrail (48%, 39%, 54%) or robust (13%, 14%, 35%) participants (P < 0.001).

CONCLUSION

Physically frail people with HF have higher unmet PC needs than those who are nonfrail. Implementing PC needs and frailty assessments may help identify vulnerable patients with unmet needs requiring further assessment and follow-up.

The Frail Scale - A Risk Stratification in Older Patients with Acute Coronary Syndrome

Purpose

The aim of this study was to explore the impact of frailty on in-hospital adverse outcomes and net adverse clinical events (NACE) in older patients with acute coronary syndrome.

Patients and Methods

This observational study included elderly patients (≥60 years old), diagnosed with acute coronary syndrome (ACS) at admission from February 2021 to August 2021. The primary outcome was net adverse clinical events (NACE) defined as a composite of all-cause mortality, stroke, and major bleeding. Secondary outcome was in-hospital adverse outcomes including arrhythmia, acquired pneumonia, stroke, major bleeding, and all-cause mortality. Frailty was assessed using the Frail scale (FS). Data about socio-demographics, comorbidities, body mass index, ACS type, coronary angiography, left ventricular ejection fraction, and length of hospital stay were also collected. Univariate and multivariate logistic regressions were employed to identify the potential association between frailty and outcomes.

Results

Of the 116 ACS patients, 38 patients were frail (32.76%). Frail subjects were more often female (50%) and older (p < 0.01) and had higher rates of in-hospital adverse outcomes (OR = 2.37, p = 0.05) and NACE (OR = 7.12; p < 0.01). In univariate analysis, the increased frail score was significantly associated with increased odds of NACE (unadjusted OR = 1.98, 95% CI 1.17-3.35 for each score increase in Frail Score). In multivariable logistic regression, models controlling for age, gender, PCI, LVEF, and coronary angiography (adjusted OR 2.19, 95% CI 1.12-4.29 for each score increase in Frail Score).

Conclusion

This study revealed the reference data of frailty assessment in older patients with ACS in Vietnam. Our result indicated that over 30% of ACS older patients presented with frailty which was associated with an increased risk of in-hospital adverse outcomes and NACE. This study also provided promising information about the simple FRAIL scale's potential role in the risk stratification of older patients with ACS.

Relationship between food insecurity and geriatric syndromes in older adults: A multicenter study in Turkey

AIMS

In this study, the aim was to determine the prevalence of geriatric syndromes such as frailty, sarcopenia risk and malnutrition in older adults and to investigate the relationship between food insecurity, and frailty, risk of sarcopenia and malnutrition.

METHODS

The study was cross-sectional. It was conducted between February 2022 and June 2022 with 707 older adults. The data were collected through the face-to-face interview method with a questionnaire including the Descriptive Information Form, Household Food Insecurity Access Scale (HFIAS), Frail Scale, Sarcopenia Risk Screening Scale (SARC-F) and Mini Nutritional Assessment-Short Form (MNA-SF). Numbers, percentages, mean, standard deviation, Pearson chi-square test and binary logistic regression analysis were used in data analysis.

RESULTS

In the present sample, 30% of the participants experienced some degree of food insecurity. The prevalence of frailty, sarcopenia risk, and malnutrition in the participants was 15.3%, 19.5%, and 1.3%, respectively. We determined that food insecurity was not associated with pre-frailty/frailty and sarcopenia risk. After adjusment for potential counfounders moderate and severe food insecurity was associated with higher odds of malnutrition risk and malnutrition (AOR: 2.06, 95% CI: 1.21-3.51, p:0.007).

CONCLUSION

While food insecurity is not associated with pre-frailty/frailty and sarcopenia risk, moderate and severe food insecurity is a modifiable risk factor for malnutrition risk and malnutrition. Thus, economic and social policies to eliminate food insecurity should be implemented, and efforts to prevent food insecurity should be planned through inter-sectoral cooperation.

Association Between the FRAIL Scale and Postoperative Complications in Older Surgical Patients: A Systematic Review and Meta-Analysis

BACKGROUND

Several frailty screening tools have been shown to predict mortality and complications after surgery. However, these tools were developed for in-person evaluation and cannot be used during virtual assessments before surgery. The FRAIL (fatigue, resistance, ambulation, illness, and loss of weight) scale is a brief assessment that can potentially be conducted virtually or self-administered, but its association with postoperative outcomes in older surgical patients is unknown. The objective of this systematic review and meta-analysis (SRMA) was to determine whether the FRAIL scale is associated with mortality and postoperative outcomes in older surgical patients.

METHODS

Systematic searches were conducted of multiple literature databases from January 1, 2008, to December 17, 2022, to identify English language studies using the FRAIL scale in surgical patients and reporting mortality and postoperative outcomes, including postoperative complications, postoperative delirium, length of stay, and functional recovery. These databases included Medline, Medline ePubs/In-process citations, Embase, APA (American Psychological Association) PsycInfo, Ovid Emcare Nursing, (all via the Ovid platform), Cumulative Index to Nursing and Allied Health Literature (CINAHL) EbscoHost, the Web of Science (Clarivate Analytics), and Scopus (Elsevier). The risk of bias was assessed using the quality in prognosis studies tool.

RESULTS

A total of 18 studies with 4479 patients were included. Eleven studies reported mortality at varying time points. Eight studies were included in the meta-analysis of mortality. The pooled odds ratio (OR) of 30-day, 6-month, and 1-year mortality for frail patients was 6.62 (95% confidence interval [CI], 2.80-15.61; P < .01), 2.97 (95% CI, 1.54-5.72; P < .01), and 1.54 (95% CI, 0.91-2.58; P = .11), respectively. Frailty was associated with postoperative complications and postoperative delirium, with an OR of 3.11 (95% CI, 2.06-4.68; P < .01) and 2.65 (95% CI, 1.85-3.80; P < .01), respectively. The risk of bias was low in 16 of 18 studies.

CONCLUSIONS

As measured by the FRAIL scale, frailty was associated with 30-day mortality, 6-month mortality, postoperative complications, and postoperative delirium.

Recognizing the Needs of High-Need High-Risk Veterans

Introduction

Understanding the needs of higher-risk older adult patients can support the delivery of high quality and patient-centered healthcare. We sought to characterize the physical, functional, social and psychological needs of High-Need High-Risk (HNHR) Veterans. We hypothesized that the concept of frailty could be useful in identifying the highest-risk HNHR patients and characterizing their needs.

Methods

We conducted a cross-sectional study of Veterans in the Miami Veterans Affairs Healthcare System who were identified as High-Need High-Risk by the Department of Veterans Affairs (VA) using data analytic techniques. We analyzed data of 634 Veterans who completed questionnaires by mail, telephone or in person. We assessed the Veterans' frailty status and needs in the physical, functional, psychological and social domains. Beyond descriptive statistics, we used Chi-square (χ 2) test, one-way ANOVA and Kruskal-Wallis to analyze whether there were differences in Veterans' needs in relation to frailty status.

Results

The HNHR Veterans who participated in the questionnaire had complex needs that spanned the physical, functional, psychological, and social domains. We observed a potential mismatch between functional needs and social support; over two-thirds of respondents endorsed having dependence in at least one ADL but only about a third of respondents reported having a caregiver. Patients with frailty had higher levels of functional dependence and were more likely than the other HNHR respondents to report recent falls, recent hospitalizations, depression, and transportation issues.

Conclusion

High-Need High-Risk Veterans have complex needs related to the physical, functional, psychological and social domains. Within the HNHR population, HNHR Veterans with frailty appear to have particularly high levels of risk and multidomain needs. Increased attention to identifying members of these groups and aligning them with biopsychosocial interventions that are targeted to their specific needs may support development of appropriate strategies and care-models to support HNHR Veterans.

Comparison of three frailty screening instruments for prediction of adverse outcomes among older adults in the emergency department

AIM

To compare the predictive abilities of the FRAIL scale (FS), frailty screening questionnaire (FSQ) and clinical frailty scale (CFS) for adverse outcomes in older adults in the emergency department.

METHODS

In total, 317 older adults aged ≥65 years attending emergency department was screened for frailty using the FS, FSQ and CFS. Outcome measures included all-cause 28-day mortality and intensive care unit readmission. Cox proportional hazards model was used for survival comparison. Logistic regression was used to analyze risk factors for readmissions. In addition, we calculated the C-statistic, net reclassification improvement and integrated discrimination improvement to evaluate the predictive value of three scales.

RESULTS

The prevalence of frailty was 55.2% (FS), 47.0% (FSQ) and 69.4% (CFS). Cox regression and logistic regression analysis revealed that frailty screening by FS, FSQ and CFS was an independent risk factor for all-cause 28-day mortality and 30- and 90-day readmission after adjustment. Incorporation of FS, FSQ and CFS into a basic model with other risk factors significantly improved C-statistic. For all-cause 28-day mortality, the model including FS had the highest C-statistic from 0.786 (95% confidence interval: 0.706-0.865) to 0.854 (95% confidence interval: 0.802-0.907) and the improvements in risk prediction were also confirmed by category-free net reclassification improvement and integrated discrimination improvement, suggesting FS was significantly better than CFS and FSQ. The three tools had a low predictive ability for readmission (all C-statistics <0.7).

CONCLUSIONS

All three frailty scales showed a predictive ability for 28-day mortality and readmission but FS may be the most valid tool in the emergency department. Geriatr Gerontol Int ••; ••: ••-•• Geriatr Gerontol Int 2022; 22: 851-856.

Comparing health outcomes between coronary interventions in frail patients aged 75 years or older with acute coronary syndrome: a systematic review

Aim

To assess the current evidence comparing the health outcomes of coronary interventions in frail patients aged 75 years or older with acute coronary syndrome.

Findings

Available studies are observational and limited by incomplete statistical adjustment required for robust causal analysis. There may be a signal for improved outcomes in acute coronary syndrome patients treated invasively vs conservatively.

Message

Robust studies are needed to inform the optimal selection of coronary interventions in frail older patients with acute coronary syndrome.

Purpose

To assess current evidence comparing the impact of available coronary interventions in frail patients aged 75 years or older with different subtypes of acute coronary syndrome (ACS) on health outcomes.

Methods

Scopus, Embase and PubMed were systematically searched in May 2022 for studies comparing outcomes between coronary interventions in frail older patients with ACS. Studies were excluded if they provided no objective assessment of frailty during the index admission, under-represented patients aged 75 years or older, or included patients with non-ACS coronary disease without presenting results for the ACS subgroup. Following data extraction from the included studies, a qualitative synthesis of results was undertaken.

Results

Nine studies met all eligibility criteria. All eligible studies were observational. Substantial heterogeneity was observed across study designs regarding ACS subtypes included, frailty assessments used, coronary interventions compared, and outcomes studied. All studies were assessed to be at high risk of bias. Notably, adjustment for confounders was limited or not adequately reported in all studies. The comparative assessment suggested a possible efficacy signal for invasive treatment relative to conservative treatment but possibly at the risk of increased bleeding events.

Conclusions

There is a paucity of evidence comparing health outcomes between different coronary interventions in frail patients aged 75 years or older with ACS. Available evidence is at high risk of bias. Given the growing importance of ACS in frail patients aged 75 years or older, new studies are needed to inform optimal ACS care for this population. Future studies should rigorously adjust for confounders.

Frailty in Community-Dwelling Adults Aged 40 Years and over with Type 2 Diabetes: Association with Self-Management Behaviors

Background: Evidence is lacking on risk factors for frailty and prefrailty and their relationship with self-management behaviors in patients ≥40 years of age with type 2 diabetes. Methods: Participants were selected as a cross-sectional cohort at five communities in Shanghai, China during January−March 2021. The modified FRAIL scale and the Summary of Diabetes Self-Care Activities (SDSCA) measure were used. Results: Of the 558 participants, 10.2% were classified as frailty and 34.1% as prefrailty. The prevalence of frailty was higher in males than in females (p = 0.009), whereas females were associated with higher odds of prefrailty (aOR 1.67, 95% CI [1.08−2.60]). Multimorbidity, ≥3 chronic diseases, and hospitalization in the past year were considered risk factors for both frailty and prefrailty. Each point earned on SDSCA and physical activity were associated with lower odds of frailty (aOR 0.95, 95% CI [0.92−0.98]) and prefrailty (aOR 0.52, 95% CI [0.31−0.85]), respectively. Frail participants performed significantly worse self-care practice than prefrail and non-frail ones, especially on diet, physical activity, and medication adherence (p < 0.001). Conclusions: Frail patients ≥40 years of age with type 2 diabetes reported poorer self-care performance. Further interventional studies are warranted to clarify their causal relationship.

The Association between Cardiometabolic Risk Factors and Frailty in Older Adults: A Systematic Review

Background and Objectives

Enhanced management and prevention of frailty depend on our understanding of the association between potentially modifiable risk factors and frailty. However, the associations between potentially modifiable cardiometabolic risk factors and frailty are not clear. The purpose of this review was to appraise and synthesize the current evidence examining the associations between the cardiometabolic risk factors and frailty.

Research Design and Methods

Multiple databases, including MEDLINE (via PubMed), Embase (via Elsevier), and Web of Science (via Clarivate), were searched extensively. Studies that examined cardiometabolic risk factors and frailty as main predictors and outcome of interest, respectively, among older adults (≥60 years) were included. The Joanna Briggs Institute critical appraisal tools were used to evaluate the quality of studies. PRISMA (2020) guided this review, and findings were synthesized without meta-analysis. This systematic review was registered in PROSPERO (CRD42021252565).

Results

Twelve studies met the eligibility criteria and were included in the review. Abdominal obesity, hyperglycemia, and multiple co-occurring cardiometabolic risk factors were associated with the increased likelihood of frailty in older adults. There was inconsistency across the studies regarding the associations between dyslipidemia, elevated blood pressure, and frailty.

Discussion and Implications

Understanding the association between cardiometabolic risk factors and frailty can have translational benefits in developing tailored interventions for the prevention and management of frailty. More studies are needed to validate predictive and clinically significant associations between single and specific combinations of co-occurring cardiometabolic risk factors and frailty.

Diagnostic accuracy of the frail scale plus functional measures for frailty screening

BACKGROUND

There is little knowledge of the diagnostic accuracy of screening programmes for frailty in primary care settings.

AIM

To assess a two-step strategy consisting of the administration of the FRAIL scale to those who are non-dependent, aged ≥75 years, followed-up by measurement of the Short Physical Performance Battery (SPPB) or gait speed in those who are positive.

DESIGN & SETTING

Cross-sectional and longitudinal cohort study. Analysis of primary care data from the FRAILTOOLS project at five European cities.

METHOD

All patients consecutively attending were enrolled. They received the index tests plus the Fried phenotype and the frailty index to assess their frailty status. Mortality and worsening of dependency in basic (BADL) and instrumental (IADL) activities of daily living over a year were ascertained.

RESULTS

Prevalence of frailty based on frailty phenotype was 14.9% in the 362 participants. A FRAIL scale score ≥1 had a sensitivity of 83.3% (95%CI:73.1-93.6) to detect frailty. A positive result and a SPPB score <11 had a sensitivity of 72.2% (95%CI: 59.9-84.6); when combined with a gait speed <1.1 m/s, the sensitivity was 80% (95%CI: 68.5-91.5). Two thirds of those screened as positive were not frail. In the best scenario, sensitivities of this last combination to detect IADL and BADL worsening were 69.4% (95%CI: 59.4-79.4) and 63.6% (95%CI: 53.4-73.9).

CONCLUSION

Combining the FRAIL scale with other functional measures offers an acceptable screening approach for frailty. Accurate prediction of worsening dependency and death need to be confirmed through the piloting of a frailty screening programme.

Prediction of Physical Frailty in Orthogeriatric Patients Using Sensor Insole-Based Gait Analysis and Machine Learning Algorithms: Cross-sectional Study

Background

Assessment of the physical frailty of older patients is of great importance in many medical disciplines to be able to implement individualized therapies. For physical tests, time is usually used as the only objective measure. To record other objective factors, modern wearables offer great potential for generating valid data and integrating the data into medical decision-making.

Objective

The aim of this study was to compare the predictive value of insole data, which were collected during the Timed-Up-and-Go (TUG) test, to the benchmark standard questionnaire for sarcopenia (SARC-F: strength, assistance with walking, rising from a chair, climbing stairs, and falls) and physical assessment (TUG test) for evaluating physical frailty, defined by the Short Physical Performance Battery (SPPB), using machine learning algorithms.

Methods

This cross-sectional study included patients aged >60 years with independent ambulation and no mental or neurological impairment. A comprehensive set of parameters associated with physical frailty were assessed, including body composition, questionnaires (European Quality of Life 5-dimension [EQ 5D 5L], SARC-F), and physical performance tests (SPPB, TUG), along with digital sensor insole gait parameters collected during the TUG test. Physical frailty was defined as an SPPB score≤8. Advanced statistics, including random forest (RF) feature selection and machine learning algorithms (K-nearest neighbor [KNN] and RF) were used to compare the diagnostic value of these parameters to identify patients with physical frailty.

Results

Classified by the SPPB, 23 of the 57 eligible patients were defined as having physical frailty. Several gait parameters were significantly different between the two groups (with and without physical frailty). The area under the receiver operating characteristic curve (AUROC) of the TUG test was superior to that of the SARC-F (0.862 vs 0.639). The recursive feature elimination algorithm identified 9 parameters, 8 of which were digital insole gait parameters. Both the KNN and RF algorithms trained with these parameters resulted in excellent results (AUROC of 0.801 and 0.919, respectively).

Conclusions

A gait analysis based on machine learning algorithms using sensor soles is superior to the SARC-F and the TUG test to identify physical frailty in orthogeriatric patients.

Prevalence and Associates of Frailty Status in Different Stages of Chronic Kidney Disease: A Cross-Sectional Study

OBJECTIVES

Frailty is a state of homeostenosis associated with adverse outcomes. Chronic kidney disease (CKD) increases considerably by aging and shares the common risk factors with frailty. We aimed to examine the prevalence and independent associates of frailty status in CKD patients.

DESIGN

In this single-centre, cross-sectional study, we used the five-item Fatigue, Resistance, Ambulation, Illnesses and Loss of Weight (FRAIL) scale to evaluate frailty. A binary logistic regression analysis model including the parameters found to have relationship with frailty in univariate analyses was used to detect independent associates of frailty status. Odds ratio (OR) and 95% confidence interval (CI) were given.

PARTICIPANTS

Study included 148 patients aged 18-80. Sixty (60) patients were end stage renal disease (ESRD) patients on maintenance hemodialysis (HD) (at least for 3 months) and 88 were stage 3-4 CKD patients. Thirty-seven (37) patients (42%) were eGFR G3a, 31 patients (35.3%) were eGFR G3b and 20 patients (22.7%) were eGFR G4 in stage 3-4 CKD patients.

MEASUREMENTS

Demographics, etiology of CKD, comorbidities, regular drugs, dialysis-related and laboratory data were recorded. FRAIL scale was scored as follows; 0=robust, 1-2=prefrail, and ≥3= frail. The frailty status was compared between frail+prefrail group vs robust (non-frail) group.

RESULTS

The prevalences of prefrailty and frailty were 68.3% and 3.3% in HD group and 53.4% and zero in stage 3-4 CKD group, respectively (p = 0.025). In the multivariate logistic regression analysis, being in HD group (OR=3.87, 95% CI= 1.06-14.19, p=0.04), older age (OR=1.09, 95% CI= 1.04-1.13) and female sex (OR=9.13, 95%CI= 2.82-29.46) were independent risk factors for frailty (p<0.001, for both).

CONCLUSION

Prefrailty and frailty are quite common among HD and CKD stage 3-4 patients. Being an HD patient is an independent risk factor for non-robust (frail or prefrail) status. Our findings point out a remarkably high prevalence of frailty severity (prefrailty/frailty) phenotype among patients with advanced CKD stages.

Screening, Diagnosis and Management of Sarcopenia and Frailty in Hospitalized Older Adults: Recommendations from the Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR) Expert Working Group

Sarcopenia and frailty are highly prevalent conditions in older hospitalized patients, which are associated with a myriad of adverse clinical outcomes. This paper, prepared by a multidisciplinary expert working group from the Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR), provides an up-to-date overview of current evidence and recommendations based on a narrative review of the literature for the screening, diagnosis, and management of sarcopenia and frailty in older patients within the hospital setting. It also includes suggestions on potential pathways to implement change to encourage widespread adoption of these evidence-informed recommendations within hospital settings. The expert working group concluded there was insufficient evidence to support any specific screening tool for sarcopenia and recommends an assessment of probable sarcopenia/sarcopenia using established criteria for all older (≥65 years) hospitalized patients or in younger patients with conditions (e.g., comorbidities) that may increase their risk of sarcopenia. Diagnosis of probable sarcopenia should be based on an assessment of low muscle strength (grip strength or five times sit-to-stand) with sarcopenia diagnosis including low muscle mass quantified from dual energy X-ray absorptiometry, bioelectrical impedance analysis or in the absence of diagnostic devices, calf circumference as a proxy measure. Severe sarcopenia is represented by the addition of impaired physical performance (slow gait speed). All patients with probable sarcopenia or sarcopenia should be investigated for causes (e.g., chronic/acute disease or malnutrition), and treated accordingly. For frailty, it is recommended that all hospitalized patients aged 70 years and older be screened using a validated tool [Clinical Frailty Scale (CFS), Hospital Frailty Risk Score, the FRAIL scale or the Frailty Index]. Patients screened as positive for frailty should undergo further clinical assessment using the Frailty Phenotype, Frailty Index or information collected from a Comprehensive Geriatric Assessment (CGA). All patients identified as frail should receive follow up by a health practitioner(s) for an individualized care plan. To treat older hospitalized patients with probable sarcopenia, sarcopenia, or frailty, it is recommended that a structured and supervised multi-component exercise program incorporating elements of resistance (muscle strengthening), challenging balance, and functional mobility training be prescribed as early as possible combined with nutritional support to optimize energy and protein intake and correct any deficiencies. There is insufficient evidence to recommend pharmacological agents for the treatment of sarcopenia or frailty. Finally, to facilitate integration of these recommendations into hospital settings organization-wide approaches are needed, with the Spread and Sustain framework recommended to facilitate organizational culture change, with the help of 'champions' to drive these changes. A multidisciplinary team approach incorporating awareness and education initiatives for healthcare professionals is recommended to ensure that screening, diagnosis and management approaches for sarcopenia and frailty are embedded and sustained within hospital settings. Finally, patients and caregivers' education should be integrated into the care pathway to facilitate adherence to prescribed management approaches for sarcopenia and frailty.

Impact of social restrictions during the COVID-19 pandemic on the physical activity levels of adults aged 50-92 years: a baseline survey of the CHARIOT COVID-19 Rapid Response prospective cohort study

OBJECTIVES

Physical inactivity is more common in older adults, is associated with social isolation and loneliness and contributes to increased morbidity and mortality. We examined the effect of social restrictions to reduce COVID-19 transmission in the UK (lockdown), on physical activity (PA) levels of older adults and the social predictors of any change.

DESIGN

Baseline analysis of a survey-based prospective cohort study.

SETTING

Adults enrolled in the Cognitive Health in Ageing Register for Investigational and Observational Trials cohort from general practitioner practices in North West London were invited to participate from April to July 2020.

PARTICIPANTS

6219 cognitively healthy adults aged 50-92 years completed the survey.

MAIN OUTCOME MEASURES

Self-reported PA before and after the introduction of lockdown, as measured by metabolic equivalent of task (MET) minutes. Associations of PA with demographic, lifestyle and social factors, mood and frailty.

RESULTS

Mean PA was significantly lower following the introduction of lockdown from 3519 to 3185 MET min/week (p<0.001). After adjustment for confounders and prelockdown PA, lower levels of PA after the introduction of lockdown were found in those who were over 85 years old (640 (95% CI 246 to 1034) MET min/week less); were divorced or single (240 (95% CI 120 to 360) MET min/week less); living alone (277 (95% CI 152 to 402) MET min/week less); reported feeling lonely often (306 (95% CI 60 to 552) MET min/week less); and showed symptoms of depression (1007 (95% CI 612 to 1401) MET min/week less) compared with those aged 50-64 years, married, cohabiting and not reporting loneliness or depression, respectively.

CONCLUSIONS AND IMPLICATIONS

Markers of social isolation, loneliness and depression were associated with lower PA following the introduction of lockdown in the UK. Targeted interventions to increase PA in these groups should be considered.

Identifying and Managing Malnutrition, Frailty and Sarcopenia in the Community: A Narrative Review

Malnutrition, frailty and sarcopenia are becoming increasingly prevalent among community-dwelling older adults; yet are often unidentified and untreated in community settings. There is an urgent need for community-based healthcare professionals (HCPs) from all disciplines, including medicine, nursing and allied health, to be aware of, and to be able to recognise and appropriately manage these conditions. This paper provides a comprehensive overview of malnutrition, frailty and sarcopenia in the community, including their definitions, prevalence, impacts and causes/risk factors; and guidance on how these conditions may be identified and managed by HCPs in the community. A detailed description of the care process, including screening and referral, assessment and diagnosis, intervention, and monitoring and evaluation, relevant to the community context, is also provided. Further research exploring the barriers/enablers to delivering high-quality nutrition care to older community-dwelling adults who are malnourished, frail or sarcopenic is recommended, to inform the development of specific guidance for HCPs in identifying and managing these conditions in the community.

Association of the FRAIL Scale with Geriatric Syndromes and Health-Related Outcomes in Korean Older Adults

Background

Owing to the growing older population, appropriate tools are needed for frailty screening in community-dwelling older people. We investigated the association between geriatric conditions and health-related outcomes using the five-item Fatigue, Resistance, Ambulation, Illnesses, & Loss of Weight (FRAIL) scale in a Korean rural community setting.

Methods

We performed comprehensive geriatric assessments, including the FRAIL scale, in 1,292 community-dwelling people (mean age, 74.6 years) in the Aging Study of Pyeongchang Rural Area. These populations were prospectively followed up for 3 years to analyze the outcomes of death, institutionalization, disability, and quality of life. We investigated the association between frailty status and outcomes using the FRAIL scale.

Results

According to the FRAIL scale, 524 (36.5%) participants were prefrail and 297 (23.0%) were frail. According to the adjusted model, the degree of frailty status was significantly associated with concurrent geriatric syndromes and 3-year incidences of mortality, institutionalization, and disability; Kaplan–Meier analysis showed significant differences in 3-year survival based on frailty status (92.6% for robust, 85.7% for prefrail, and 74.2% for frail; log-rank p<0.001).

Conclusion

The five-item FRAIL scale can be used to screen for accompanying geriatric syndromes and is associated with the 3-year health-related outcomes in community-dwelling Korean older adults. From the public health perspective, this simple screening tool for frailty assessment might be applicable to older populations in Korea.

Concurrent and Predictive Validity of FRAIL-NH in Hospitalized Older Persons: An Exploratory Study

OBJECTIVES

The FRAIL-NH was originally developed for frailty assessment of nursing home (NH) residents. We aimed to compare concurrent, predictive, and known-groups validity between FRAIL-NH and FRAIL, using the Frailty Index (FI) as gold standard reference. We also examined for ceiling effect of both measures in the detection of severe frailty.

DESIGN

A secondary analysis of a prospective cohort study.

SETTING & PARTICIPANTS

Older adults (mean age 89.4 years) hospitalized for an acute medical illness in a 1300-bed tertiary hospital.

MEASUREMENTS

Baseline data on demographics, comorbidities, severity of illness, functional status, and cognitive status were gathered. We also captured outcomes of mortality, length of stay (LOS), institutionalization, and functional decline. For concurrent validity, we compared areas under the operating characteristic curves (AUCs) for both measures against the FI. For predictive validity, univariate analyses and multiple logistic regression were used to compare both measures against the adverse outcomes of interest. For known-groups validity, we compared both measures against comorbidities and functional status via 1-way analysis of variance, and dementia diagnosis via independent t test. Box plots were also derived to investigate for possible ceiling effect.

RESULTS

Both measures had good concurrent validity (both AUC > 0.8 and P < .001), with FRAIL-NH detecting more frailty cases (79.5% vs 50.0%). Although FRAIL-frail was superior for in-hospital mortality [6.7% vs 1.0%, P = .031, odds ratio (OR) 9.29, 95% confidence interval (CI) 1.09-79.20, P < .042] and LOS (10 vs 8 days, P = .043), FRAIL-NH-frail better predicted mortality (OR 6.62, 95% CI 1.91-22.94, P = .003) and institutionalization (OR 6.03, 95% CI 2.01-18.09, P = .001) up to 12 months postenrollment. Known-groups validity was good for both measures with FRAIL-NH yielding greater F values for functional status and dementia. Lastly, box plots revealed a ceiling effect for FRAIL in the severely frail group.

CONCLUSIONS AND IMPLICATIONS

This exploratory study highlights the potential for expanding the role of FRAIL-NH beyond NH to acute care settings. Contrasted to FRAIL, FRAIL-NH had better overall validity with less ceiling effect in discrimination of severe frailty.