Comparing Diagnostic Properties of the FRAIL-NH Scale and 4 Frailty Screening Instruments among Chinese Institutionalized Older Adults

Unveiling the multi-dimensional frailty network among older cancer survivors in China: A network analysis study

INTRODUCTION

Frailty has a significant impact on the overall quality of life of older cancer survivors, but the relationships among frailty symptoms are not well understood. This study aims to explore the specific associations among multidimensional symptoms of frailty among older cancer survivors by employing network analysis to provide supportive evidence for targeted interventions in the future.

MATERIALS AND METHODS

Data were obtained by cluster sampling from three large Grade-A tertiary hospitals in Shandong Province, China, and collected through face-to-face interviews by trained investigators. We included patients who were diagnosed with a solid malignant tumor at the age of 60 years or older. Frailty indicators were measured by the Groningen Frailty Indicator (GFI) and analyzed primarily through network analysis, including network estimation, centrality, and stability analysis. The relative importance of a node in a network was tested by centrality analyses, and Spearman correlations were applied to estimate the relationships between symptom pairs (symptom score) and symptom clusters (standardized symptom score) in the symptom network. In terms of centrality, the indexes of strength, closeness, and betweenness were adopted to measure the importance of nodes.

RESULTS

Five hundred and eight older cancer survivors were included, with an average age of 68.4 years (standard deviation [SD] = 5.4), and a higher proportion were male (n = 307[60.4%]). The prevalence of frailty among older cancer survivors was 58.9% (n = 299), with a mean GFI score of 4.46 (SD = 2.87). The strongest edge was between "dressing and undressing" and "going to the toilet" (r = 0.58). The nodes with the higher strength centrality were "going to the toilet" (rS=1.09), "walking around outside" (rS=0.97), and "part of social network" (rS=0.96); and the nodes with the higher closeness centrality were "mark physical fitness" (rC=0.005), "calm and relaxed" (rC=0.005), and "nervous or downhearted" (rC=0.005).

DISCUSSION

This study demonstrated that older cancer survivors in China have a high prevalence of frailty, with self-care and social participation-related symptoms playing a key role in the multidimensional network of frailty symptoms. Psychological symptoms can rapidly influence other symptoms within this network. Therefore, prioritizing psychological symptoms in the assessment of older adults with cancer is essential for effective frailty management.

Diagnostic Accuracy of the FRAIL Scale, Groningen Frailty Indicator, Tilburg Frailty Indicator, and PRISMA-7 for Frailty Screening Among Older Adults in Community Settings: A Systematic Review and Network Meta-Analysis

BACKGROUND AND OBJECTIVES

This study aimed to investigate the diagnostic accuracy of four questionnaire-based tools (i.e., the FRAIL scale, Groningen Frailty Indicator [GFI], Tilburg Frailty Indicator [TFI], and PRISMA-7) for screening frailty in older adults.

RESEARCH DESIGN AND METHODS

The 4 databases comprising the Cumulative Index to Nursing and Allied Health Literature, Embase, PubMed, and ProQuest were searched from inception to June 20, 2023. Study quality comprising risks of bias and applicability was assessed via a QUADAS-2 questionnaire. A bivariate network meta-analysis model and Youden's index were performed to identify the optimal tool and cutoff points.

RESULTS

In total, 20 studies comprising 13 for FRAIL, 7 for GFI, 6 for TFI, and 5 for PRISMA-7 were included. Regarding study quality appraisal, all studies had high risks of bias for study quality assessment domains. Values of the pooled sensitivity of the FRAIL scale, GFI, TFI, and PRISMA-7 were 0.58, 0.74, 0.66, and 0.73, respectively. Values of the pooled specificity of the FRAIL scale, GFI, TFI, and PRISMA-7 were 0.92, 0.77, 0.84, and 0.86, respectively. The Youden's index was obtained for the FRAIL scale with a cutoff of 2 points (Youden's index = 0.65), indicating that the FRAIL scale with a cutoff of 2 points was the optimal tool for frailty screening in older adults.

DISCUSSION AND IMPLICATIONS

The FRAIL scale comprising 5 self-assessed items is a suitable tool for interview older adults for early frailty detection in community settings; it has the advantages of being short, simple, and easy to respond to.

To validate the integral conceptual model of frailty among community-dwelling older adults in China: a cross-sectional study

PURPOSE

The integral conceptual model of frailty (ICFM) integrates physical, psychological, social aspects of individuals and stresses that frailty is a dynamic state evolving over time. This study aimed to validate the ICMF among community-dwelling older adults in China.

METHODS

The study recruited 341 older community-dwelling adults by convenient sampling method between June 1 and August 30, 2019 in Hubei province, China. The data was collected by questionnaire-based survey. Frailty was assessed by the Chinese version of the Tilburg Frailty Index. Participants were assessed for life-course determinants, disease and adverse health outcomes. Hierarchical regression analyses, Bootstrap method and the structural equation model were conducted in data analysis.

RESULTS

Both linear and logistic hierarchical regression models were statistically significant. Life-course determinants, disease, and three domains of frailty together explained 35.6% to 50.6% of the variance of disability and all domains of quality of life. The mediation effect of frailty between disease and all adverse outcomes was significant, excluding hospitalization. The structural equation model guided by the ICMF fits the data well.

CONCLUSIONS

The ICMF is valid among community-dwelling older adults in China. Therefore, the multidimensional concept of frailty should be widely used in Chinese communities.

Construct Validity of a New Health Assessment Questionnaire for the National Screening Program of Older Adults in Japan: The SONIC Study

The Japanese government has implemented a new screening program to promote measures to avoid worsening lifestyle-related diseases and frailty among the older population. In this effort, the government formulated a new health assessment questionnaire for the screening program of old-old adults aged ≥75 years. The questionnaire comprises 15 items, of which 12 address frailty, two address general health status, and one addresses smoking habits. This study examined the construct validity of this questionnaire, using the explanatory factor analysis (EFA) and confirmatory factor analysis (CFA). The data used in this study were drawn from a mail-in survey conducted in 2020 as part of the Septuagenarians, Octogenarians, Nonagenarians Investigation with Centenarians study. A total of 1576 respondents (range, 78-99 years of age) were included in the study. Although the EFA did not show an interpretable factor structure of the questionnaire with 15 items, the CFA using only 12 frailty-related items showed the goodness of fit for a higher-order factor "frailty", and the five frailty-related sub-factors model was acceptable. These results suggest that the total score of the 12 frailty-related items in the questionnaire can be used as an indicator of the degree of "frailty".

The Tilburg Frailty Indicator: A psychometric systematic review

BACKGROUND

The Tilburg Frailty Indicator (TFI) is one of the most prominent multidimensional frailty assessment instruments. This review aimed to critically appraise and summarise its measurement properties.

METHODS

Reports were eligible if they included results of studies aimed at developing the TFI or evaluating its measurement properties. We performed a literature search in MEDLINE, CINAHL, and PsycINFO databases from their inception until December 8, 2021. We also searched grey literature databases. We assessed the methodological quality of the included studies using the "COSMIN Risk of Bias". The measurement properties were evaluated using specific criteria. We graded the quality of the evidence using a GRADE approach.

RESULTS

Sixty-three studies were included. We found moderate sufficient evidence for TFI content validity, although it is still insufficient for the comprehensiveness of its items. TFI construct validity was based on sufficient evidence from two studies of its structural validity as well as multiple hypothesis-testing for construct validity studies with inconsistent results. We did not find any studies that assessed cross-cultural validity. Only one of TFI's three dimensions showed sufficient evidence for the internal consistency of its scores, and results in test-retest reliability were inconsistent. The TFI showed high sufficient concurrent validity with the comprehensive geriatric assessment. We identified several studies assessing its predictive validity for adverse frailty-related outcomes, although most of the evidence from these studies was insufficient. We did not find any studies that assessed the responsiveness of TFI scores.

CONCLUSIONS

The TFI had evidence gaps in several relevant measurement properties. Further research is needed to strengthen its usefulness as a clinical decision-making tool.

Relationship between frailty and drug use among nursing homes residents: results from the SHELTER study

BACKGROUND

1.5-8% of older adults live in nursing homes (NHs), presenting a high prevalence of frailty and polypharmacy.

AIMS

To investigate the association of frailty with polypharmacy and drug prescription patterns in a sample of European Nursing Home (NH) residents.

METHODS

Cross-sectional study based on the data from the Services and Health for Elderly in Long TERm care (SHELTER) study. 4121 NH residents in Europe and Israel. Residents' clinical, cognitive, social, and physical status were evaluated with the InterRAI LTCF tool, which allows comprehensive, standardized evaluation of persons living in NH. Polypharmacy and hyperpolypharmacy were defined as the concurrent use of ≥ 5 and ≥ 10 medications. Frailty was defined according to the FRAIL-NH scale.

RESULTS

Of 4121 participants, 46.6% were frail (mean age 84.6 ± 9.2 years; 76.4% female). Polypharmacy and hyperpolypharmacy were associated with a lower likelihood of frailty (Odds Ratio = 0.72; 95% CI = 0.59-0.87 and OR = 0.75; 95% CI = 0.60-0.94, respectively). Patterns of drug prescriptions were different between frail and non-frail residents. Symptomatic drugs (laxatives, paracetamol, and opioids) were more frequently prescribed among frail residents, while preventive drugs (bisphosphonates, vitamin D, and acetylsalicylic acid) were more frequently prescribed among non-frail residents.

CONCLUSIONS

Frailty is associated with less polypharmacy and with higher prevalence of symptomatic drugs use among NH residents. Further studies are needed to define appropriateness of drug prescription in frail individuals.

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis

BACKGROUND

Little is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents.

METHODS

Minimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs).

RESULTS

In older nursing home residents at admission, three physical frailty subgroups were identified: "mild physical frailty" (prevalence: 7.6%), "moderate physical frailty" (44.5%) and "severe physical frailty" (47.9%). Those in "moderate physical frailty" or "severe physical frailty" had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in "severe physical frailty" also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to "moderate physical frailty" [aOR (95%CI)moderate cognitive impairment: 1.01 (0.99-1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01-1.05)] and much higher odds to the "severe physical frailty" subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35-2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58-5.90)].

CONCLUSIONS

Findings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.

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.

Association between Frailty and 90-Day Outcomes amongst the Chinese Population: A Hospital-Based Multicentre Cohort Study

INTRODUCTION

Frailty has gained increasing attention as it is by far the most prevalent geriatric condition amongst older patients which heavily impacts chronic health status. However, the relationship between frailty and adverse health outcomes in China is far from clear. This study explored the relation between frailty and a panel of adverse health outcomes.

METHODS

We performed a multicentre cohort study of older inpatients at 6 large hospitals in China, with two-stage cluster sampling, from October 2018 to April 2019. Frailty was measured according to the FRAIL scale and categorized into robust, pre-frail, and frail. A multivariable logistic regression model and multilevel multivariable negative binomial regression model were used to analyse the relationship between frailty and adverse outcomes. Outcomes were length of hospitalization, as well as falls, readmission, and mortality at 30 and 90 days after enrolment. All regression models were adjusted for age, sex, BMI, surgery, and hospital ward.

RESULTS

We included 9,996 inpatients (median age 72 years and 57.8% male). The overall mortality at 30 and 90 days was 1.23 and 1.88%, respectively. At 30 days, frailty was an independent predictor of falls (odds ratio [OR] 3.19; 95% CI 1.59-6.38), readmission (OR 1.45; 95% CI 1.25-1.67), and mortality (OR 3.54; 95% confidence interval [CI] 2.10-5.96), adjusted for age, sex, BMI, surgery, and hospital ward clustering effect. At 90 days, frailty had a strong predictive effect on falls (OR 2.10; 95% CI 1.09-4.01), readmission (OR 1.38; 95% CI 1.21-1.57), and mortality (OR 6.50; 95% CI 4.00-7.97), adjusted for age, sex, BMI, surgery, and hospital ward clustering effect. There seemed to be a dose-response association between frailty categories and fall or mortality, except for readmission.

CONCLUSIONS

Frailty is closely related to falls, readmission, and mortality at 30 or 90 days. Early identification and intervention for frailty amongst older inpatients should be conducted to prevent adverse outcomes.

Association of fear of falling with frailty in community-dwelling older adults: A cross-sectional study

This study aimed to describe frailty and fear of falling and examine the cross-sectional association between frailty and fear of falling in community-dwelling older adults in China. We recruited 165 older adults from five selected communities in the five districts of Changchun, Jilin Province. Participants were asked to complete a demographic questionnaire, the Short Falls Efficacy Scale-International, and the Tilburg Frailty Indicator. We found that 60% of our participants were frail and that 81% reported a fear of falling. Using binary logistic regression, we found that the participants with fear of falling were 7.2 times more likely to be frail. These findings suggest that fear of falling should be regularly screened in clinical practice to help identify older adults with greater risks of frailty. Future longitudinal studies of larger sample size are needed to confirm the association. Moreover, frailty prevention programs that include strategies to reduce the fear of falling should be tested among community-dwelling older adults.

The FRAIL-NH Scale: Systematic Review of the Use, Validity and Adaptations for Frailty Screening in Nursing Homes

OBJECTIVES

To investigate frailty prevalence, cross-sectional associations, predictive validity, concurrent validity, and cross-cultural adaptations of the FRAIL-NH scale.

DESIGN

Systematic review.

SETTING AND PARTICIPANTS

Frail residents living in nursing homes.

METHODS

MEDLINE, EMBASE, CINAHL, and Cochrane Library were searched from January 2015 to June 2021 for primary studies that used the FRAIL-NH scale, irrespective of study designs and publication language.

RESULTS

Overall, 40 studies conducted across 20 countries utilized the FRAIL-NH scale; majority in Australia (n=14), followed by China (n=6), United States (n=3), and Spain (n=3). The scale has been translated and back-translated into Brazilian Portuguese, Chinese, and Japanese. Various cut-offs have been used, with ≥2 and ≥6 being the most common cut-offs for frail and most frail, respectively. When defined using these cut-offs, frailty prevalence varied from 15.1-79.5% (frail) to 28.5-75.0% (most frail). FRAIL-NH predicted falls (n=2), hospitalization or length of stay (n=4), functional or cognitive decline (n=4), and mortality (n=9) over a median follow-up of 12 months. FRAIL-NH has been compared to 16 other scales, and was correlated with Fried's phenotype (FP), Frailty Index (FI), and FI-Lab. Four studies reported fair-to-moderate agreements between FRAIL-NH and FI, FP, and the Comprehensive Geriatric Assessment. Ten studies assessed the sensitivity and specificity of different FRAIL-NH cut-offs, with ≥8 having the highest sensitivity (94.1%) and specificity (82.8%) for classifying residents as frail based on FI, while two studies reported an optimal cut-off of ≥2 based on FI and FP, respectively.

CONCLUSION

In seven years, the FRAIL-NH scale has been applied in 20 countries and adapted into three languages. Despite being applied with a range of cut-offs, FRAIL-NH was associated with higher care needs and demonstrated good agreement with other well-established but more complex scales. FRAIL-NH was predictive of adverse outcomes across different settings, highlighting its value in guiding care for frail residents in nursing homes.

Comparing the Performance of Different Instruments for Diagnosing Frailty and Predicting Adverse Outcomes among Elderly Patients with Gastric Cancer

OBJECTIVES

To examine the diagnostic performance of the Tilburg Frailty Indicator (TFI), 11-factor modified frailty index (mFI-11), and 5-factor modified frailty index (mFI-5) for frailty defined by Frailty Phenotype (FP), as well as to compare the predictive ability of TFI, mFI-11, and mFI-5 for adverse outcomes in hospital among elderly patients undergoing gastric cancer surgery.

DESIGN

A prospective cohort study.

SETTING

Hospitalization setting, Nanjing, China.

PARTICIPANTS

We recruited 259 elderly patients undergoing gastric cancer surgery from a tertiary hospital.

MEASUREMENTS

Frailty was assessed by the FP, TFI, mFI-11, and mFI-5 before surgery, respectively. The receiver operating characteristic (ROC) curves were plotted to compared the diagnostic performance of TFI, mFI-11, and mFI-5 using FP as the reference. ROC curves were used to examine the performance of TFI, mFI-11, and mFI-5 in predicting adverse outcomes. The area under the curve (AUC)>0.70 was regarded as an indicator of good performance.

RESULTS

The prevalence of frailty ranged from 8.5% (mFI-11) to 45.9% (TFI). The AUCs of TFI (AUC: 0.764, p<0.001) was significantly greater than that of mFI-11 (AUC: 0.600, p=0.033) and mFI-5 (AUC: 0.600, p=0.0311) in the detection of frailty defined by FP, with quite different sensitivity and specificity at their original cutoffs. TFI and mFI-11 both had statistically significant but similarly inadequate predictive accuracy for adverse outcomes in hospital, including total complications (AUCs: 0.618; 0.621), PLOS (AUCs: 0.593; 0.639), increased hospital costs (AUCs: 0.594; 0.624), and hypoproteinemia (AUCs: 0.573; 0.600). For the mFI-5, only the predictive ability for hypoproteinemia was statistically significant, with poor accuracy (AUC: 0.592, p<0.0055).

CONCLUSION

The TFI performed slightly better than mFI-11 and mFI-5 in our study. Moreover, future studies are needed to further determine an optimal frailty instrument with great diagnostic and predictive accuracy.

Comparison of 6 frailty screening tools in diagnostic properties among Chinese community-dwelling older people

We aimed to compare the diagnostic test accuracy (DTA) of six frailty screening tools against comprehensive geriatric assessment (CGA) in the community. A total of 1177 community-dwelling older people were recruited. Frailty was assessed by purely physical tools including Physical Frailty Phenotype (PFP), FRAIL (fatigue, resistance, ambulation, illness and loss of weight), Study of Osteoporotic Fracture (SOF), and multidimensional tools including Tilburg Frailty Indicator (TFI), Groningen Frailty Indicator (GFI) and Comprehensive Frailty Assessment Instrument (CFAI). The receiver operating characteristic curve analyses were performed. The GFI, TFI and CFAI [areas under the curve (AUCs): 0.78-0.80] had better diagnostic accuracy than SOF, PFP and FRAIL (AUCs: 0.69-0.72) (χ²: 6.37-26.76, P<.05). The optimal cut-offs for the PFP, FRAIL and SOF were identical to their original prefrail cut-offs. These results implicate that the multidimensional tools are more effective to identify frailty in the whole community setting, while the self-report FRAIL may be used to identify the prefrail and facilitate early interventions particularly in the community setting with adequate healthcare resources.