Frailty in Hospitalized Older Adults: Comparing Different Frailty Measures in Predicting Short- and Long-term Patient Outcomes

Advance care planning procedure in older patients at a high risk of death after discharge from the acute geriatric unit: A study protocol

The SAPHARI ("Home-based Nurse Intervention in the Care of High-Risk-of-Death Patients after Discharge from a Geriatric Department") prospective, multicenter, randomized, controlled, open-label study has been designed to evaluate the effectiveness of implementing advance care planning (ACP) in older patients at a high risk of death. Patients aged 75 or over, at a high risk of death (according to the DAMAGE prognostic score) and discharged alive to home or to a nursing home from an acute geriatric unit will be included and followed up for 12 months. We plan to randomize 104 patients into a control group or an intervention group. The patients in the intervention group will receive an in-home intervention by an expert advanced practice nurse trained in the implementation of ACP. The primary outcome will focus on the intervention's feasibility: the proportion of patients included and randomized, the proportion completing in the study, and the proportion having engaged in ACP within a month of discharge. A secondary efficacy outcome will be compliance with advance directives (drafted at the time of ACP) at 12 months in each of the two study groups. Symptom's of anxiety and depression, the intervention's acceptability, and changes in quality of life will be documented in patients, family carers, and professional caregivers. The patients' and caregivers' experience of the intervention will be explored in qualitative analyses. Lastly, the intervention's implementation will be analyzed, with a view to understanding the results and identifying factors that will foster generalization of the conclusions. Through this project, we hope to lay the foundations for better care of very frail older patients at the end of life. The results of our study will provide robust, scientific evidence to fuel the long-standing but evolving social and political debate over the right to a dignified end of life.

Comparison of the long-term prognostic value of different frailty instruments in older inpatients: a 5-year prospective cohort study

BACKGROUND

Frailty is associated with increased mortality in older adults, but limited studies compare frailty instruments among inpatients with long-term follow-up.

AIMS

To evaluate five frailty scales for predicting 5-year all-cause mortality in older inpatients.

METHODS

This prospective cohort study enrolled 917 inpatients aged ≥ 65 years. We used five commonly used scales [Clinical Frailty Scale (CFS), FRAIL, Fried, Edmonton, and the comprehensive geriatric assessment-frailty index (CGA-FI)] to screen or assess frailty and then conducted a 5-year telephone follow-up. The primary endpoint was 5-year all-cause mortality. The predictive value of different frailty scales was compared using Kaplan-Meier (K-M) survival analysis, COX regression models, and the receiver operating characteristic (ROC) curves.

RESULTS

The prevalence of frailty ranged from 19.5 to 36.5%. Both K-M survival curves and Cox regression confirmed that frailty patients had higher mortality risk across all scales. After multivariate adjustment, the hazard ratios from highest to lowest, were: CGA-FI, FRAIL, Fried, CFS, and Edmonton (all p < 0.05). Frailty demonstrated moderate performance, with area under the curves (AUCs) ranging from 0.70 to 0.75 (all p < 0.001). CGA-FI had the largest AUC of 0.724, revealing the best predictive value, while FRAIL had the smallest AUC of 0.666. The AUCs of Fried, Edmonton, and CFS gradually decreased, with no statistical differences. Furthermore, CFS has the highest sensitivity (77.5%).

CONCLUSIONS

Frailty identified by all scales is associated with an increased risk of long-term mortality. CFS is the preferred frailty screening scale, while CGA-FI is the most accurate assessment scale. Trial registration ChiCTR1800017204 (07/18/2018).

The impact of frailty on chemotherapy intolerance in patients with cervical cancer: A longitudinal study

PURPOSE

To explore the potential effects of frailty on chemotherapy intolerance in patients with cervical cancer.

METHODS

A longitudinal study of patients with cervical cancer undergoing postoperative Adjuvant Chemotherapy (ACT) was conducted at a hospital in Northwest China from July 2020 to December 2021. Baseline frailty was assessed using the Tilburg Frailty Indicator. Chemotherapy intolerance was obtained from electronic medical records during the intervals between each postoperative chemotherapy session. We used Generalized Estimating Equations (GEE) to determine the predictors and cox regression analysis to analyze the impact of frailty on chemotherapy intolerance.

RESULTS

A total of 259 patients with postoperative cervical cancer with a mean age of 52.5 years (SD = 10.3) participated in this study. The incidence of chemotherapy intolerance in the frail group at T1, T2, T3 and T4 was 51.6%, 38.9%, 55.6% and 73.7%, respectively. The patients with frailty were more likely to have chemotherapy intolerance (OR = 1.495, 95% CI: 1.074-2.080, P < 0.05), prolonged hospitalizations (OR = 1.577, 95% CI: 1.086-2.291, P < 0.05) and unplanned readmissions (OR = 2.304, 95% CI: 1.387-3.829, P < 0.05) compared to the patients without frailty. Cox regression analysis showed that frailty increased the risk of chemotherapy intolerance by 1.681-fold (HR = 1.681, 95%CI 1.041-2.713; P < 0.05) and unplanned readmissions by 2.812-fold (HR = 2.812, 95%CI 1.521-5.200; P < 0.05).

CONCLUSIONS

Frailty can lead to an increased risk of chemotherapy intolerance in patients with cervical cancer undergoing postoperative ACT, and patients with frailty are more likely to experience prolonged hospitalizations and unplanned readmissions.

Associations of Frailty, Defined Using Three Different Instruments, with All-Cause Mortality in a Tertiary Outpatient Clinic in Turkiye

Purpose

To our knowledge, there have been no comparative studies evaluating the associations of frailty defined using the Tilburg Frailty Indicator (TFI), frailty phenotype by Fried et al, and FRAIL scale with all-cause mortality in Turkiye. In this study, we aimed to evaluate the ability of these instruments in predicting all-cause mortality in outpatients admitted to the outpatient geriatrics clinic of a university hospital.

Patients and Methods

This historical prospective study was performed in the geriatrics outpatient clinic of a university hospital in Istanbul, Turkiye. Consecutive older adults (aged ≥ 70 years) who provided written informed consent were enrolled in the study. The survival status of participants was checked electronically using the official death registry system. Univariate analyses and multivariate Cox regression analyses were performed to determine the independent predictors of mortality.

Results

A total of 198 participants with a median age of 77 years were enrolled. During the median follow-up period of 2236 days, 54 (27.3%) patients died. In univariate analyses, male sex, history of falls in the previous year, dependency in instrumental activities of daily living, malnutrition, and frailty with respect to the phenotype by Fried et al, FRAIL scale, and TFI were associated with mortality. In multivariate Cox regression analyses, frailty according to each of the three frailty instruments, male sex, older age, history of falls, and malnutrition or malnutrition risk were independently associated with mortality. The Fried scale was the best frailty tool among the three frailty instruments used to predict all-cause mortality.

Conclusion

The findings of this study suggest that frailty, determined using each of the three instruments used in the present study, is independently associated with all-cause mortality in patients admitted to the outpatient geriatrics clinic of a university hospital in Turkiye. The Fried scale appears to be the best for predicting all-cause mortality.

(Re)conceptualising Good Care in Hospital Settings From the Perspectives of Older Persons: A Concept Analysis Using Pragmatic Utility

PURPOSE

To understand good care from the perspective of hospitalised older persons.

BACKGROUND

Older persons are the largest group of hospital users, and numbers will increase in the next decades. Hospital organisations are attempting to transform traditional care models to meet the specialised needs of hospitalised older persons. To achieve this, healthcare providers including nurses and administrators need to understand the perspectives of hospitalised older persons on what constitutes good care. This knowledge is critical to nursing to ensure that care aligns with the perceived needs of hospitalised older persons. However, good care from the viewpoints of hospitalised older persons remains ambiguous and poorly delineated in the literature.

METHODS

We conducted a concept analysis using the pragmatic utility method. To identify peer-reviewed articles, we searched CINAHL, MedLine, PsycINFO, Scopus and Embase databases for related literature using the keywords and related terms to 'good care', 'hospital or acute care' and 'older persons'.

RESULTS

Twenty-two peer-reviewed articles out of 2144 search results were included. The heterogeneity of older persons' perspectives and limitations in the literature on good care led to a tentative understanding. Good care, a partially mature concept, is the provision of person-centred, culturally sensitive, holistic and integrated care that fosters autonomy, control and participation, resulting in a sense of belonging, smooth transitions, optimal management of clinical conditions, satisfaction in care and informed older persons and family caregivers.

CONCLUSION

Older persons are a heterogeneous group with diverse perceptions of good care. Instead of seeking a common understanding of good care, efforts should be focused on identifying individual preferences, values and goals of hospitalised older persons.

IMPLICATIONS FOR PRACTICE

The components of good care are important for many hospitalised older persons and can serve as a starting point for improvements in practice settings. However, this understanding is tentative and may overlook critical aspects of care at an individual level. Hospital organisations, healthcare providers and nurses should be cognizant of this limitation and cultivate adaptability for an individualised approach to care.

Frailty assessment and outcomes in primary care for patients with diabetes during Ramadan: implications for risk evaluation and care plans

Background

Frailty is a critical concern for older adults, impacting their susceptibility to adverse events and overall quality of life. This study aimed to determine the frailty status of patients 60 years or older in Abu Dhabi Ambulatory Healthcare Services (AHS) and assess its relation to the stress exerted by Ramadan fasting and the occurrence of any adverse outcomes.

Methods

In this prospective observational study, participants were included if the attending physicians used the IDF-DAR risk stratification assessment tool. A tele-interview was conducted to complete the FRAIL score within 6 weeks before Ramadan 1,444 (CE 2022). The outcome was assessed through another tele-interview and an electronic medical record review after Ramadan.

Results

According to the FRAIL assessment tool, among the 204 patients aged 60 years or older included in the study, 109 (53.4%) were classified as either frail or pre-frail. In total, 20 (9.8%) patients were frail, that is, 1 out of 10, and 89 (43.6%) were pre-frail. The remaining 95 (46.6%) patients were robust. Using logistic regression to assess the occurrence of adverse outcomes after Ramadan fasting, a higher frailty score was identified as the third independent risk factor [B = 0.4, OR = 1.5 (1-2.02-1.86), and p = 0.039] for experiencing an adverse event. The identified factors associated with frailty were age, increased albumin-to-creatinine ratio (ACR), chronic kidney diseases (CKDs), and ischemic heart diseases (beta = 0.27, p = 0.003; beta = 0.24, p = 0.004; beta = 0.2, p = 0.039; and beta = 0.18, p = 0.041, respectively). One-third of the frail patients had an event, while the incidence in pre-frail patients was 11.2%, and among the robust patients, the incidence was 6.3%. Physicians' global assessment of frailty did not align well with the structured FRAIL scoring. Only five (25%) out of the 20 patients identified as frail by the FRAIL assessment tool were also judged as frail or having cognitive function impairment by the physicians' global assessment tool.

Conclusion

Frailty is prevalent among elderly patients with diabetes. Disparity exists between subjective and objective frailty assessments, emphasizing the need for standardized evaluation methods. Using the FRAIL tool is recommended for patients aged 60 or older with diabetes in Abu Dhabi.

Development and validation of frailty risk prediction model for elderly patients with coronary heart disease

OBJECTIVE

To analyze the influential factors of frailty in elderly patients with coronary heart disease (CHD), develop a nomogram-based risk prediction model for this population, and validate its predictive performance.

METHODS

A total of 592 elderly patients with CHD were conveniently selected and enrolled from 3 tertiary hospitals, 5 secondary hospitals, and 3 community health service centers in China between October 2022 and January 2023. Data collection involved the use of the general information questionnaire, the Frail scale, and the instrumental ability of daily living assessment scale. And the patients were categorized into two groups based on frailty, and χ2 test as well as logistic regression analysis were used to identify and determine the influencing factors of frailty. The nomograph prediction model for elderly patients with CHD was developed using R software (version 4.2.2). The Hosmer-Lemeshow test and the area under the receiver operating characteristic (ROC) curve were employed to assess the predictive performance of the model. Additionally, the Bootstrap resampling method was utilized to validate the model and generate the calibration curve of the prediction model.

RESULTS

The prevalence of frailty in elderly patients with CHD was 30.07%. The multiple factor analysis revealed that poor health status (OR = 28.169)/general health status (OR = 18.120), age (OR = 1.046), social activities (OR = 0.673), impaired instrumental ability of daily living (OR = 2.384) were independent risk factors for frailty (all P < 0.05). The area under the ROC curve of the nomograph prediction model was 0.847 (95% CI: 0.809 ~ 0.878, P < 0.001), with a sensitivity of 0.801, and specificity of 0.793; the Hosmer- Lemeshow χ2 value was 12.646 (P = 0.125). The model validation results indicated that the C value of 0.839(95% CI: 0.802 ~ 0.879) and Brier score of 0.139, demonstrating good consistency between predicted and actual values.

CONCLUSION

The prevalence of frailty is high among elderly patients with CHD, and it is influenced by various factors such as health status, age, lack of social participation, and impaired ability of daily life. These factors have certain predictive value for identifying frailty early and intervention in elderly patients with CHD.

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.

Reweighting and validation of the hospital frailty risk score using electronic health records in Germany: a retrospective observational study

BACKGROUND

In the hospital setting, frailty is a significant risk factor, but difficult to measure in clinical practice. We propose a reweighting of an existing diagnoses-based frailty score using routine data from a tertiary care teaching hospital in southern Germany.

METHODS

The dataset includes patient characteristics such as sex, age, primary and secondary diagnoses and in-hospital mortality. Based on this information, we recalculate the existing Hospital Frailty Risk Score. The cohort includes patients aged ≥ 75 and was divided into a development cohort (admission year 2011 to 2013, N = 30,525) and a validation cohort (2014, N = 11,202). A limited external validation is also conducted in a second validation cohort containing inpatient cases aged ≥ 75 in 2022 throughout Germany (N = 491,251). In the development cohort, LASSO regression analysis was used to select the most relevant variables and to generate a reweighted Frailty Score for the German setting. Discrimination is assessed using the area under the receiver operating characteristic curve (AUC). Visualization of calibration curves and decision curve analysis were carried out. Applicability of the reweighted Frailty Score in a non-elderly population was assessed using logistic regression models.

RESULTS

Reweighting of the Frailty Score included only 53 out of the 109 frailty-related diagnoses and resulted in substantially better discrimination than the initial weighting of the score (AUC = 0.89 vs. AUC = 0.80, p < 0.001 in the validation cohort). Calibration curves show a good agreement between score-based predictions and actual observed mortality. Additional external validation using inpatient cases aged ≥ 75 in 2022 throughout Germany (N = 491,251) confirms the results regarding discrimination and calibration and underlines the geographic and temporal validity of the reweighted Frailty Score. Decision curve analysis indicates that the clinical usefulness of the reweighted score as a general decision support tool is superior to the initial version of the score. Assessment of the applicability of the reweighted Frailty Score in a non-elderly population (N = 198,819) shows that discrimination is superior to the initial version of the score (AUC = 0.92 vs. AUC = 0.87, p < 0.001). In addition, we observe a fairly age-stable influence of the reweighted Frailty Score on in-hospital mortality, which does not differ substantially for women and men.

CONCLUSIONS

Our data indicate that the reweighted Frailty Score is superior to the original Frailty Score for identification of older, frail patients at risk for in-hospital mortality. Hence, we recommend using the reweighted Frailty Score in the German in-hospital setting.

Evaluation and Application of Frailty Index in Colorectal Cancer: A Comprehensive Review

Colorectal cancer (CRC) is a common malignant tumor that primarily affects the elderly population. Surgery is one of the main treatment modalities for CRC. Frailty is a prevalent characteristic among the elderly and a leading cause of mortality. The frailty index (FI) is a comprehensive tool for assessing patients' frailty status, quantifying indicators such as weight loss, fatigue, and nutritional status, to reflect the degree of frailty. In recent years, the FI has undergone modifications to more accurately evaluate the risk of surgical complications and prognosis in CRC patients. This review summarizes the methods for frailty assessment, the development and modifications of the FI, and compiles the research findings and applications of the FI in predicting surgical complications, postoperative recovery, and survival rates in CRC patients. Furthermore, limitations in the current modified frailty index (mFI) and future research directions are discussed. This review provides essential references for further understanding the role of frailty in CRC patients and the clinical application of the mFI.

Invasive Treatment Strategy in Adults With Frailty and Non-ST-Segment Elevation Myocardial Infarction: A Secondary Analysis of a Randomized Clinical Trial

Importance

The MOSCA-FRAIL randomized clinical trial compared invasive and conservative treatment strategies in patients with frailty with non-ST-segment elevation myocardial infarction (NSTEMI). It showed no differences in the number of days alive and out of the hospital at 1 year.

Objective

To assess the outcomes of the MOSCA-FRAIL trial during extended follow-up.

Design, Setting, and Participants

The MOSCA-FRAIL randomized clinical trial was conducted at 13 hospitals in Spain between July 7, 2017, and January 9, 2021, and included 167 adults (aged ≥70 years) with frailty (Clinical Frailty Scale score ≥4) and NSTEMI. In this preplanned secondary analysis, follow-up was extended to January 31, 2023. Data analysis was performed from April 5 to 29, 2023, using the intention-to-treat principle.

Interventions

Patients were randomized to a routine invasive (coronary angiography and revascularization if feasible [n = 84]) or a conservative (medical treatment with coronary angiography only if recurrent ischemia [n = 83]) strategy.

Main outcomes and measures

The primary end point was the difference in restricted mean survival time (RMST). Secondary end points included readmissions for any cause, considering recurrent readmissions.

Results

Among the 167 patients included in the analysis, the mean (SD) age was 86 (5) years; 79 (47.3%) were men and 88 (52.7%) were women. A total of 93 deaths and 367 readmissions accrued. The RMST for all-cause death over the entire follow-up was 3.13 (95% CI, 2.72-3.60) years in the invasive and 3.06 (95% CI, 2.84-3.32) years in the conservative treatment groups. The RMST analysis showed inconclusive differences in survival time (invasive minus conservative difference, 28 [95% CI, -188 to 230] days). Patients under invasive treatment tended to have shorter survival in the first year (-28 [95% CI, -63 to 7] days), which improved after the first year (192 [95% CI, 90-230] days). Kaplan-Meier mortality curves intersected, displaying higher mortality to 1 year in the invasive group that shifted to a late benefit (landmark analysis hazard ratio, 0.58 [95% CI, 0.33-0.99]; P = .045). Early harm was more evident in the subgroup with a Clinical Frailty Scale score greater than 4. No differences were found for the secondary end points.

Conclusions and Relevance

In this extended follow-up of a randomized clinical trial of patients with frailty and NSTEMI, an invasive treatment strategy did not improve outcomes at a median follow-up of 1113 (IQR, 443-1441) days. However, a differential distribution of deaths was observed, with early harm followed by later benefit. The phenomenon of depletion of susceptible patients may be responsible for this behavior.

Trial registration

ClinicalTrials.gov Identifier: NCT03208153.

Association between the frailty index and readmission risk in hospitalised elderly Chinese patients: a retrospective cohort study

OBJECTIVES

Frailty is a common and important concern of the ageing population. This study examined the association between the frailty index and negative outcomes of hospitalised elderly Chinese patients.

DESIGN

Retrospective cohort study.

SETTING

Geriatrics Department of Peking University First Hospital.

PARTICIPANTS

470 hospitalised elderly patients.

MAIN OUTCOMES AND MEASURES

Frailty was measured using a 30-item deficit-accumulation frailty index. The outcomes were the hospitalisation duration and readmission.

RESULTS

The frailty index was available for 470 patients: 72 (15.32%) were categorised as robust, 272 (57.87%) as prefrail and 126 (26.81%) as frail. The frail group had a longer hospital stay than the robust and prefrail groups. After adjustment for age, sex and cause of hospitalisation at baseline, frailty remained a strong independent risk factor for all-cause readmission and cardiocerebrovascular disease readmission (HR 2.41, 95% CI 1.49 to 3.91, p<0.001; HR 4.92, 95% CI 1.47 to 6.31, p<0.001, respectively).

CONCLUSIONS

The frailty index predicted a longer length of stay and higher all-cause and cardiocerebrovascular disease readmission risk in hospitalised elderly patients.

Preoperative Frailty Scores Predict the Early Postoperative Complications of Holmium Laser Enucleation of Prostate

Background: Frailty is a recent multidimensional concept of a contemporary growing interest for understanding the complex health status of elderly population. We aimed to assess the impact of frailty scores on the outcome and complication rate of holmium laser enucleation of prostate (HoLEP). Methods: A 7-year data of HoLEP patients in a single tertiary referral center were reviewed. The preoperative, operative, early, and late postoperative outcome data were collected and compared according to the preoperative frailty scores. Frailty was assessed preoperatively using the Modified Hopkins frailty score. Results: The study included 837 patients categorized into two groups: group I included 533 nonfrail patients (frailty score = 0), whereas group II included 304 frail patients (frailty score ≥1). The median (interquartile range) age was 70 (11) and 75 (11) years for groups I and II, respectively (<0.001). The 30-day perioperative complication rate (p = 0.005), blood transfusion (p = 0.013), failed voiding trial (p = 0.0015), and 30-day postoperative readmission (p = 0.0363) rates were significantly higher in frail patients of group II. The two groups were statistically comparable regarding postoperative international prostate symptom score (p = 0.6886, 0.6308, 0.9781), incontinence rate (p = 0.475, 0.592, 0.1546), postvoid residual (p = 0.5801, 0.1819, 0.593) at 6 weeks and 3 months, and 1-year follow-up intervals, respectively. Conclusion: In elderly patients undergoing HoLEP, the preoperative frailty scores strongly correlate with the risk of perioperative complications. Frail patients should be counseled regarding their relative higher risk of early perioperative complications although they gain the same functional profit of HoLEP as nonfrail patients.

C-Reactive Protein and Albumin Levels as Useful Tools for Predicting In-Hospital Outcomes in Polish Nonagenarians

Purpose

The admissions of nonagenarians to internal medicine wards are rising. The aim of this study was to analyse the causes of ward admission and blood and renal parameters as potential mortality predictors in this age group.

Patients and Methods

Out of 1140 patients, 111 nonagenarians aged 90+ admitted to the Internal Medicine Ward in one general hospital in Poznan in 2019 were studied. Medical records of these patients were analysed to find factors attributable to the hospitalisation.

Results

The leading causes of admission were infections and cardiovascular diseases, and the main causes of death were cardiovascular diseases. Elevated C-reactive protein (CRP) level was a statistically significant death predictor. Equally, decreased albumin level was found to be a mortality predictor. No such relationships were obtained for haematological or renal parameters.

Conclusion

Our study uniquely analysed a relatively large group of hospitalised nonagenarians and identified those who need particular attention in the ward by identifying those with the highest risk of death. CRP and albumin levels may serve as useful indicators of in-hospital mortality in this age group.

Rehabilitation Prognostic Factors following Hip Fractures Associated with Patient's Pre-Fracture Mobility and Functional Ability: A Prospective Observation Study

Low physical function is associated with poor outcomes in the elderly population suffering from hip fractures. The present study aims to evaluate the prognostic tools for predicting patient recovery after hip fractures and investigate the correlation between the pre-fracture motor and functional statuses. A prospective study was performed, including 80 patients suffering from hip fractures. Patient history, previous falls, the type of fracture and overall survival were evaluated. Patient-reported outcome measures (SF-36, EQ-5D/VAS, Charlson Comorbidity Index (CCI), Short Physical Performance Battery (SPPB), Timed Up and Go (TUG) and Harris Hip Score (HHS)) were monitored before hospital discharge at 6 weeks, and 3, 6 and 12 months postoperatively. Overall, 55% of patients experienced at least one fall, and 46% of them used crutches before the fracture. The average CCI score was 6.9. The SPPB score improved from 1.4 ± 1.3 (1 week) to 4.4 ± 2.1 (48 weeks). A one-year age increase, female sex, and prior history of falls lead to 0.1-, 0.92-, 0.56-fold lower SPPB scores, respectively, at 12 months. The HHS recorded the greatest improvement between 6 and 12 weeks (52.1 ± 14.6), whereas the TUG score continued to improve significantly from 139.1 ± 52.6 s (6 weeks) to 66.4 ± 54 s (48 weeks). The SPPB and performance test can be routinely used as a prognostic tool.

Use of the Tilburg frailty indicator in longitudinal studies with older adults: A scoping review

AIM

To understand how researchers applied the Tilburg Frailty Indicator (TFI) to older adults. The use of the TFI was examined based on the Integral Conceptual Model of Frailty (ICMF).

DESIGN

A scoping review.

DATA SOURCES

A database search was conducted without a time limit in PubMed, CINAHL, Embase and the Cochrane library. A hand search was also conducted.

REVIEW METHODS

Research questions were developed based on the population-concept-context framework suggested by the Joanna Briggs Institute (2017). Studies were included if topics were related to the use of the TFI or ICMF and designs were longitudinal studies.

RESULTS

A total of 37 studies met the inclusion criteria. Studies were reviewed according to the tested pathways of the ICMF: determinants of frailty or adverse outcomes, adverse outcomes of frailty and comparison of predictive power between frailty measures.

CONCLUSION

The TFI is a useful tool to screen for frailty and predict health outcomes in older adults. Among the pathways of the ICMF, relationships between social factors and frailty were reported in several studies. Despite this relationship, social factors were considered as items to assess the social domain of frailty rather than determinants of frailty. The predictive power of the TFI was not superior to other frailty measures, but it had a high sensitivity.

IMPACT

This study demonstrates the usability of the TFI in older adults living in various conditions. Further studies are required to identify more effective ways to screen frailty using the TFI.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public involvement in this study.

Prevalence and clinical impact of frailty in COPD: a systematic review and meta-analysis

BACKGROUND

Frailty has been increasingly identified as a risk factor of adverse outcomes in chronic obstructive pulmonary disease (COPD). The prevalence and impact of frailty on health outcomes in people with COPD require clarification.

METHODS

PubMed, Embase, The Cochrane Library and Web of Science (January 1, 2002, to July 1, 2022) were comprehensively searched to identify studies related to frailty and COPD. Comparisons were made between people who did and did not have frailty for pulmonary function, dyspnea severity, 6-minute walking distance, activities of daily life, and mortality.

RESULTS

Twenty studies (9 cross-sectional, 10 cohort studies,1 clinical trial) from Europe (9), Asia (6), and North and South America (4), Oceania (1) involving 11, 620 participants were included. The prevalence of frailty was 32.07% (95% confidence interval (CI) 26.64-37.49) with a range of 6.43-71.70% based on the frailty tool used. People with frailty had lower predicted forced expiratory volume in the first second (mean difference - 5.06%; 95%CI -6.70 to -3.42%), shorter 6-minute walking distance (mean difference - 90.23 m; 95%CI -124.70 to -55.76), poorer activities of daily life (standardized mean difference - 0.99; 95%CI -1.35 to -0.62), higher CAT(COPD Assessment Test) score(mean difference 6.2; 95%CI 4.43 to 7.96) and mMRC (modified Medical Research Council) grade (mean difference 0.93; 95%CI 0.85 to 1.02) compared with those who did not (P < 0.001 for all). Meta-analysis showed that frailty was associated with an increased risk of long-term all-cause mortality (HR 1.68; 95% CI 1.37-2.05; I² = 0%, P < 0.001).

CONCLUSION

Frailty is prevalent in people with COPD and linked with negative clinical outcomes including pulmonary function, dyspnea severity, exercise capacity, quality of life and mortality.

Frailty and risk of adverse outcomes among community-dwelling older adults in China: a comparison of four different frailty scales

Background

Data on which frailty scales are most suitable for estimating risk in Chinese community populations remain limited. Herein we examined and compared four commonly used frailty scales in predicting adverse outcomes in a large population-based cohort of Chinese older adults.

Methods

A total of 5402 subjects (mean age 66.3 ± 9.6 years, 46.6% male) from the WHO Study on global AGEing and adult health (SAGE) in Shanghai were studied. Frailty was measured using a 35-item frailty index (FI), the frailty phenotype (FP), FRAIL, and Tilburg Frailty Indicator (TFI). Multivariate logistic regression models were performed to evaluate the independent association between frailty and outcomes including 4-year disability, hospitalization, and 4- and 7-year all-cause mortality. The accuracy for predicting these outcomes was determined by evaluating the area under the curve (AUC). The prevalence of frailty, sensitivity, and specificity were calculated using our proposed cut-off points and other different values.

Results

Prevalence of frailty ranged from 4.2% (FRAIL) to 16.9% (FI). FI, FRAIL and TFI were comparably associated with 4-year hospitalization, and 4- and 7-year mortality (adjusted odds ratios [aORs] 1.44-1.69, 1.91-2.22 and 1.85-2.88, respectively). FRAIL conferred the greatest risk of 4-year disability, followed by FI and TFI (aOR 5.55, 3.50, and 1.91, respectively). FP only independently predicted 4- and 7-year mortality (aOR 1.57 and 2.21, respectively). AUC comparisons showed that FI, followed by TFI and FRAIL, exhibited acceptable predictive accuracy for 4-year disability, 4- and 7-year mortality (AUCs 0.76-0.78, 0.71-0.71, 0.65-0.72, respectively), whereas all scales poorly predicted 4-year hospitalization (AUCs 0.53-0.57). For each scale, while specificity estimates (85.3-97.3%) were high and similar across all outcomes, their sensitivity estimates (6.3-56.8%) were not sufficient yet. Prevalence of frailty, sensitivity, and specificity varied considerably when different cut-off points were used.

Conclusion

Frailty defined using any of the four scales was associated with an increased risk of adverse outcomes. Although FI, FRAIL and TFI exhibited fair-to-moderate predictive accuracy and high specificity estimates, their sensitivity estimates were not sufficient yet. Overall, FI performed best in estimating risk, while TFI and FRAIL were additionally useful, the latter perhaps being more applicable to Chinese community-dwelling older adults.

Impact of frailty on long-term mortality in older patients receiving intensive care via the emergency department

The aim of this study was to evaluate whether frailty was associated with 6-month mortality in older adults who were admitted to the intensive care unit (ICU) with an illness requiring emergency care. The investigation was a prospective, multi-center, observational study conducted among the ICUs of 17 participating hospitals. Patients ≥ 65 years of age who were admitted to the ICU directly from an emergency department visit were assessed to determine their baseline Clinical Frailty Scale (CFS) scores before the illness and were surveyed 6 months after admission. Among 650 patients included in the study, the median age was 79 years old, and overall mortality at 6 months was as low as 21%, ranging from 6.2% in patients with CFS 1 to 42.9% in patients with CFS ≥ 7. When adjusted for potential confounders, CFS score was an independent prognostic factor for mortality (one-point increase in CFS, adjusted risk ratio with 95% confidence interval 1.19 [1.09-1.30]). Quality of life 6 months after admission worsened as baseline CFS score increased. However, there was no association between total hospitalization cost and baseline CFS. CFS is an important predictor of long-term outcomes among critically ill older patients requiring emergent admission.

Feasibility of a 12-Month Follow-Up in Swiss Older Adults after Post-Acute Care in Nursing Homes-A Pilot Study

(1) Background: Post-acute care (PAC) aims to support functional recovery in older adults after acute hospitalization in order to regain a sufficient level of self-care facilitating their return home. However, the long-term outcomes of PAC are understudied due to challenges in recording a follow-up. We aimed to investigate the feasibility of a 12-month follow-up after PAC in Swiss nursing homes, examining practicability and potential factors influencing participation rate. (2) Methods: Collection of one-year follow-up data among 140 eligible patients after PAC in nursing homes was attempted. Patients were recruited using letters and phone calls between August and December 2017. We compared baseline data of all initial PAC patients with those who declined participation in the follow-up to identify factors potentially influencing participation. (3) Results: Overall mortality at 12 months was 25% (n = 35 of 140). Of the 105 survivors, 53 (50%) refused participation, 26 (25%) were interviewed, and 26 (25%) were lost to follow-up. Comparison of baseline characteristics between participants and objectors indicated significant statistical differences in Mini-Mental State Examination (MMSE) scores (participants mean of 26.0 [SD 3.92] vs. objectors mean of 23.5 points [SD 4.40], p = 0.015). Further, logistic regression showed statistically significantly greater odds of participation (OR 1.25 [95% CI 1.06-1.48]) for each point increase in MMSE scores. (4) Conclusions: Long-term follow-up studies in older adults after PAC are challenging due to high mortality and dropout rates. Of note, intact cognitive function at baseline was associated with a higher willingness to participate in a follow-up phone interview. The assessment of cognitive function should be considered when estimating the participation rate in older patients.

Validating biologic age in selecting elderly patients with pancreatic cancer for surgical resection

BACKGROUND AND OBJECTIVES

Selecting frail elderly patients with pancreatic cancer (PC) for pancreas resection using biologic age has not been elucidated. This study determined the feasibility of the deficit accumulation frailty index (DAFI) in identifying such patients and its association with surgical outcomes.

METHODS

The DAFI, which assesses frailty based on biologic age, was used to identify frail patients using clinical and health-related quality-of-life data. The characteristics of frail and nonfrail patients were compared.

RESULTS

Of 242 patients (median age, 75.5 years), 61.2% were frail and 32.6% had undergone pancreas resection (surgery group). Median overall survival (mOS) decreased in frail patients (7.13 months, 95% confidence interval [CI]: 5.65-10.1) compared with nonfrail patients (16.1 months, 95% CI: 11.47-34.40, p = 0.001). In the surgery group, mOS improved in the nonfrail patients (49.4%; 49.2 months, 95% CI: 29.3-79.9) compared with frail patients (50.6%, 22.1 months, 95% CI: 18.3-52.4, p = 0.10). In the no-surgery group, mOS was better in nonfrail patients (54%; 10.81 months, CI 7.85-16.03) compared with frail patients (66%; 5.45 months, 95% CI: 4.34-7.03, p = 0.02).

CONCLUSIONS

The DAFI identified elderly patients with PC at risk of poor outcomes and can identify patients who can tolerate more aggressive treatments.

A web-based calculator combining Geriatric Nutritional Risk Index (GNRI) and Tilburg Frailty Indicator (TFI) predicts postoperative complications among young elderly patients with gastric cancer

AIM

Nutritional status and frailty are significant indicators reflecting physiological reserve. We sought to establish and validate a web-based calculator containing the Geriatric Nutritional Risk Index (GNRI) and the Tilburg Frailty Indicator (TFI) together with general clinical information to predict total complications among elderly patients with gastric cancer.

METHODS

This was a prospective cohort study of 582 elderly patients with gastric cancer in a tertiary hospital in China. Nutritional status and frailty were assessed by the GNRI and the TFI, respectively. The nomogram was built and further converted into a web-based calculator. The receiver operating characteristic analysis was performed to evaluate the discrimination of the nomogram. Calibration was assessed using the calibration curve and Hosmer-Lemeshow test via the bootstrap resampling procedure. The decision curve analyses (DCAs) were employed to quantify the net benefits of a certain threshold probability for assessing the clinical values.

RESULTS

The GNRI (odds ratio [OR], 0.921; 95% confidence interval [CI], 0.895-0.949; P < 0.001), the TFI (OR, 1.243; 95% CI, 1.113-1.386; P < 0.001), surgical approach (OR, 1.913; 95% CI, 1.073-3.408; P = 0.028) and comorbidity (OR = 1.599, 95%CI = 1.028-2.486, P = 0.037) were independently associated with total complications. The nomogram demonstrated good discrimination (area under the receiver operating characteristic curve: training cohort, 0.735; validation cohort, 0.777) and calibration (P = 0.135). The DCA curves of the nomogram also showed good positive net benefits.

CONCLUSIONS

The web-based calculator incorporating the GNRI, the TFI, surgical approach, and comorbidity could successfully predict total complications among elderly patients with gastric cancer with good accuracy in a convenient manner. Geriatr Gerontol Int 2023; 23: 205-212.

The Association Between the Clinical Frailty Scale and Adverse Health Outcomes in Older Adults in Acute Clinical Settings - A Systematic Review of the Literature

Background

Frail older adults experience higher rates of adverse health outcomes. Therefore, assessing pre-hospital frailty early in the course of care is essential to identify the most vulnerable patients and determine their risk of deterioration. The Clinical Frailty Scale (CFS) is a frailty assessment tool that evaluates pre-hospital mobility, energy, physical activity, and function to generate a score that ranges from very fit to terminally ill.

Purpose

To synthesize the evidence of the association between the CFS degree and all-cause mortality, all-cause readmission, length of hospital stay, adverse discharge destination, and functional decline in patients >65 years in acute clinical settings.

Design

Systematic review with narrative synthesis.

Methods

Electronic databases (PubMed, EMBASE, CINAHL, Scopus) were searched for prospective or retrospective studies reporting a relationship between pre-hospital frailty according to the CFS and the outcomes of interest from database inception to April 2020.

Results

Our search yielded 756 articles, of which 29 studies were included in this review (15 were at moderate risk and 14 at low risk of bias). The included studies represented 26 cohorts from 25 countries (N = 44166) published between 2011 and 2020. All included studies showed that pre-hospital frailty according to the CFS is an independent predictor of all adverse health outcomes included in the review.

Conclusion

A primary purpose of the CFS is to grade clinically increased risk (i.e. risk stratification). Our results report the accumulated knowledge on the risk-predictive performance of the CFS and highlight the importance of routinely including frailty assessments, such as the CFS, to estimate biological age, improve risk assessments, and assist clinical decision-making in older adults in acute care. Further research into the potential of the CFS and whether implementing the CFS in routine practice will improve care and patients' quality of life is warranted.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Prevalence and factors associated with frailty in older hospitalized patients

OBJECTIVES

This study aimed to determine the prevalence and factors associated with frailty in older hospitalized patients.

METHODS

The point-prevalence study was completed on 263 patients aged 65 and over hospitalized in internal medicine and surgical clinics at a tertiary hospital in Türkiye. Data were collected between July 19th and July 22nd, 2021. A comprehensive geriatric assessment was performed on the participants. The Edmonton Frailty Scale (EFS) and FRAIL scale were used for frailty assessment.

RESULTS

The mean age of the individuals was 72.40 ± 6.42, 51.7% were female, and 63.9% were hospitalized in internal medicine and surgical units. The prevalence of frailty was 57.4% according to the FRAIL scale and 46.8% according to EFS. Factors affecting frailty were gender (OR 3.36, 95% CI 1.48-7.64), comorbidity (OR 1.29, 95% CI 1.01-1.64), polypharmacy (OR 0.33, 95% CI 0.13-0.80), history of falling in the last year (OR 3.54, 95% CI 1.34-9.35), incontinence (OR 5.93, 95% CI 2.47-14.27), and functional dependency (ADL, OR 0.65, 95% CI 0.46-0.92; IADL, OR 0.59, 95% CI 0.46-0.76). This model correctly predicted the participants' frailty at 70.5%.

CONCLUSIONS

The importance of frailty, which affects one out of every two hospitalized older persons, to the health care system should not be overlooked. Considering the increasing trend of the aging person population, national and global plans should be made to prevent and manage frailty.

Risk factors associated with bacteremia with drug-resistant organisms: Review of blood culture results in emergency department of a regional hospital

Background:

Early antibiotic administration in sepsis improves patient survival. Treatment with antibiotics should cover potential pathogens and should avoid overusing broad-spectrum antibiotics. We have to identify patients who have high risks of infection with drug-resistant organisms.

Objectives:

A retrospective cohort study was conducted to identify potential risk factors associated with bloodstream infections with drug-resistant organisms to help the choice of empirical antibiotics in the emergency department.

Methods:

Adult patients with bloodstream infection diagnosed by blood culture in the emergency department in the period of 1 January 2020 to 31 December 2020 were included. Clinical features including chronic medical illnesses, clinical presentation and severity, and patients’ outcomes were identified in the electronic medical records. Bloodstream infection with drug-resistant organisms is defined as positive blood culture with bacteria resistant to either (1) amoxicillin/ clavulanic acid AND ceftriaxone or (2) amoxicillin/ clavulanic acid or ceftriaxone PLUS amikacin or levofloxacin. Univariate and multivariate analyses were conducted to identify risk factors associated with the study outcome.

Results:

Among 105 patients with bloodstream infection, 17% were caused by drug-resistant organisms. Multivariate analysis showed that age is a risk factor associated with bloodstream infection with drug-resistant organisms (odds ratio: 1.04, 95% confidence interval: 1.0–1.08, p = 0.03).

Conclusion:

In conclusion, age is a significant risk factor for drug-resistant bloodstream infection in emergency department patients. Further research may be needed to find out the relationship between frailty and infection with drug-resistant organisms.

Association between a Frailty Index from Common Laboratory Values and Vital Signs (FI-LAB) and Hospital and Post-Hospital Outcomes in Veterans with COVID-19 Infection

OBJECTIVES

Determine the association of higher FI-LAB scores, derived from common laboratory values and vital signs, with hospital and post-hospital outcomes in Veterans hospitalized with COVID-19 infection.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective, multicenter, cohort study of 7 Veterans Health Administration (VHA) medical centers in Florida and Puerto Rico. Patients aged 18 years and older hospitalized with COVID-19 and followed for up to 1 year post discharge or until death. Clinical Frailty Measure: FI-LAB.

MAIN OUTCOMES AND MEASURES

Hospital and post-hospital outcomes.

RESULTS

Of the 671 eligible patients, 615 (91.5%) patients were included (mean [SD] age, 66.1 [14.8] years; 577 men [93.8%]; median stay, 8 days [IQR:3-15]. There were sixty-one in-hospital deaths. Veterans in the moderate and high FI-LAB groups had a higher proportion of inpatient mortality (13.3% and 20.6%, respectively) than the low group (4.1%), p <0.001. Moderate and high FI-LAB scores were associated with greater inpatient mortality when compared to the low group, OR:3.22 (95%CI:1.59-6.54), p=.001 and 6.05 (95%CI:2.48-14.74), p<0.001, respectively. Compared with low FI-LAB scores, moderate and high scores were also associated with prolonged length of stay, intensive care unit (ICU) admission, and transfer.

CONCLUSIONS AND RELEVANCE

In this study of patients admitted to 7 VHA Hospitals during the first surge of the pandemic, higher FI-LAB scores were associated with higher in-hospital mortality and other in-hospital outcomes; FI-LAB can serve as a validated, rapid, feasible, and objective frailty tool in hospitalized adults with COVID-19 that can aid clinical care.

Validating the Centre of Excellence on Longevity Self-AdMinistered (CESAM) Questionnaire: An Online Self-Reported Tool for Frailty Assessment of Older Adults

OBJECTIVES

Subjective health measures are often used to assess frailty, but the validity of self-reported online tools to identify frailty remains to be established. We aimed to assess concurrent, known-groups, convergent and predictive validity of the Centre of Excellence on Longevity Self-AdMinistered (CESAM) questionnaire for frailty assessment of older adults in an outpatient setting.

DESIGN

Cross-sectional analysis of 120 participants.

SETTING AND PARTICIPANTS

Participants of age ≥65 were recruited from an outpatient geriatric clinic. Individuals who had severe neurological, cognitive, or motor deficits were excluded.

METHODS

We assessed concurrent validity with area under receiver operating characteristic curve (AUC) against the Frailty Index (FI) and Clinical Frailty Scale (CFS). We analyzed known-groups validity between CESAM scores with frailty status (CFS and FI), Modified Barthel Index (MBI), and modified Chinese Mini-Mental State Examination (mCMMSE) using 1-way analysis of variance. We evaluated convergent validity using correlations with MBI, the Lawton index, mCMMSE, and Geriatric Depression Scale (GDS). Associations between CESAM-identified frailty for clinician-diagnosed geriatric syndromes, and health-related quality of life (HRQoL) was analyzed using regression analysis.

RESULTS

The CESAM questionnaire demonstrated excellent diagnostic performance for frailty using FI ≥0.25 (AUC = 0.88; 95% CI: 0.82-0.94; P < .001) and CFS ≥4 (AUC = 0.78; 95% CI: 0.68-0.88; P < .001). CESAM scores increased significantly with increasing frailty (both CFS and FI), lower MBI, and lower mCMMSE scores (all P < .001), indicating concurrent validity. The moderate-good correlation of CESAM scores with MBI (r = -0.61; P < 0.001), Lawton Index (r = -0.54; P < .001), mCMMSE (r = -0.53; P < .001) and GDS (r = 0.58; P < .001) supports convergent validity. Using a cutoff of ≥8 for frailty identification, CESAM-identified frailty was associated with cognitive impairment (OR = 3.7; 95% CI: 1.7-8.2; P = .001) depression (OR = 4.0; 95% CI: 1.7-9.6; P = .002), falls (OR = 3.1; 95% CI: 1.2-8.2; P = .021) and poorer HRQoL (β = -0.1; 95% CI: -0.2 to -0.02; P = .017).

CONCLUSION AND IMPLICATIONS

Our results support the validity of an online self-reported tool to identify frailty and geriatric syndromes in an outpatient setting, an approach that is potentially applicable for remote screening of frailty.

The Future of Assessing Frailty in the Patient With Advanced Heart Failure: A Review of Current Literature

Frailty is becoming an important component of health care outcomes in patients with a diagnosis of heart failure. A literature search was completed to determine whether a best practice guideline existed to assess frailty in patients who were considering ventricular assist device placement. The literature search revealed that best practice guidelines did not exist. A second comprehensive literature search was completed specifically for frailty including the definition, criteria, assessment, and outcomes. The studies revealed that there were challenges with defining frailty, the age of frailty, assessments tools, and study designs. Cardiologists are primarily interested in screening for frailty, but other physician specialty practices are interested in a frailty screening tool as well. This article discusses the inconsistent research studies and the need for a valid and reliable tool to assess for frailty. It is important that nurse leaders and those working with heart failure patients determine the best practice guidelines for assessing frailty.

The association of a frailty index from laboratory tests and vital signs with clinical outcomes in hospitalized older adults

BACKGROUND

Frailty, a state of vulnerability to stressors resulting from loss of physiological reserve due to multisystemic dysfunction, is common among hospitalized older adults. Hospital clinicians need objective and practical instruments that identify older adults with frailty. The FI-LAB is based on laboratory values and vital signs and may capture biological changes of frailty that predispose hospitalized older adults to complications. The study's aim was to assess the association of the FI-LAB versus VA-FI with hospital and post-hospital clinical outcomes in older adults.

METHODS

Retrospective cohort study was conducted on Veterans aged ≥60 admitted to a VA hospital. We identified acute hospitalizations January 2011-December-2014 with 1-year follow-up. A 31-item FI-LAB was created from blood laboratory tests and vital signs collected within the first 48 h of admission and scores were categorized as low (<0.25), moderate (0.25-0.40), and high (>0.40). For each FI-LAB group, we obtained odds ratio (OR) and confidence intervals (CI) for hospital and post-hospital outcomes using multivariate binomial logistic regression. Additionally, we calculated hazard ratios (HR) and CI for all-cause in-hospital mortality comparing the high and moderate FI-LAB group with the low group.

RESULTS

Patients were 1407 Veterans, mean age 72.7 (SD = 9.0), 67.8% Caucasian, 96.1% males, 47.0% (n = 661), 41.0% (n = 577), and 12.0% (n = 169) were in the low, moderate, and high FI-LAB groups, respectively. Moderate and high scores were associated with prolonged LOS, OR:1.62 (95% CI:1.29-2.03); and 3.36 (95% CI:2.27-4.99), ICU admission, OR:1.40 (95% CI:1.03-1.90); and OR:2.00 (95% CI:1.33-3.02), nursing home placement OR:2.36 (95% CI:1.26-4.44); and 5.99 (95% CI:2.83-12.70), 30-day readmissions OR:1.74 (95% CI:1.20-2.52); and 2.20 (95% CI:1.30-3.74), 30-day mortality OR: 2.51 (95% CI:1.01-6.23); and 8.97 (95% CI:3.42-23.53), 6-month mortality OR:3.00 (95% CI:1.90-4.74); and 6.16 (95% CI:3.55-10.71), and 1-year mortality OR: 2.66 (95% CI:1.87-3.79); and 4.76 (95% CI:3.00-7.54) respectively. The high FI-LAB group showed higher risk of in-hospital mortality, HR:18.17 (95% CI:4.01-80.52) with an area-under-the-curve of 0.843 (95% CI:0.75-0.93).

CONCLUSIONS

High and moderate FI-LAB scores were associated with worse in-hospital and post-hospital outcomes. The FI-LAB may identify hospitalized older patients with frailty at higher risk and assist clinicians in implementing strategies to improve outcomes.

Comparison of Creatinine and Cystatin C to Estimate Renal Function in Geriatric and Frail Patients

The aim of this study was to compare estimated glomerular filtration rate (eGFR) with creatinine (eGFRcrea) and cystatin C (eGFRcys) in geriatric and frail patients. A retrospective, cross-sectional study was performed at a geriatric clinic in Stockholm (n = 95). The revised Lund−Malmö equation was used to calculate eGFRcrea and the Caucasian-Asian-Pediatric-Adult (CAPA) equation was used for eGFRcys. The absolute mean percentage difference between eGFRcrea and eGFRcys was used as a surrogate measure for accuracy in eGFR. Other outcome measures were consistency expressed in Lin’s concordance correlation coefficient and the proportion of consistent staging of renal failure. Subgroup analyses were performed with regard to frailty (according to Clinical Frailty Scale) and age. eGFRcys estimated lower GFR than eGFRcrea across the entire study population as well as in all subgroups (p < 0.05). Difference between the estimates increased with increasing frailty (r2 = 0.15, p < 0.01), but was not significantly affected by age (r2 = 0.004, p = 0.55). In conclusion, eGFRcys was significantly lower compared to eGFRcrea in geriatric and frail patients. Moreover, frailty had greater impact than age on the accuracy of eGFR. However, this study cannot determine if any of the estimates are preferable over the other in this patient group.

Accuracy, feasibility and predictive ability of different frailty instruments in an acute geriatric setting

Aim

To investigate the feasibility and accuracy of four frailty instruments: FRAIL, Clinical Frailty Scale (CFS), hand grip strength (HGS) and the Spanish Frailty-VIG; and to evaluate their ability to predict adverse outcomes in an acute care setting (ACS).

Findings

The four instruments had high feasibility but provided variable prevalence of frailty. FRAIL and CFS predicted well for three-month mortality, and FRAIL also for length of stay. However, none of the instruments predicted for the other outcomes.

Message

The FRAIL and CFS may be of value in diagnostic and therapeutic decision-making in an acute geriatric setting, given their prognostic ability and feasibility. Further studies are needed to identify the best frailty instrument in an ACS.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-022-00645-1.

Purpose

To analyze the feasibility, accuracy and the ability of different frailty instruments to predict adverse outcomes.

Methods

A prospective cohort study was conducted in patients ≥ 70 years admitted to the acute care setting (ACS). Feasibility and prevalence of frailty were assessed by FRAIL, Clinical Frailty Scale (CFS), hand grip strength (HGS) and the Spanish Frailty-VIG. Receiver operator characteristic (ROC) curves and area under the curve (AUC) were performed to identify frailty according to each instrument, setting VIG as the reference. For each instrument, multiple logistic regressions were used to examine the effect of frailty on primary outcome (i.e., three-month mortality) and secondary outcomes (i.e., in-hospital mortality, length of stay, institutionalization, functional decline and 30-day readmission).

Results

A total of 185 patients were included, with a median age of 89 years. The feasibility of the instruments was 100%, except for HGS (67%). The prevalence of frailty varied from 65.2% (FRAIL) to 86.7% (VIG). AUCs against VIG ranged from 0.69 (95% confidence interval [CI] 0.57–0.81: FRAIL) to 0.77 (95% CI 63.5–90.2: CFS). Frail patients defined by FRAIL were 2.7times more likely to have a prolonged length of stay than non-frail patients (95% CI 1.385–5.416). Three-month mortality occurred more among frail patients, either defined by FRAIL (OR 2.5; 95% CI 1.072–5.881) or CFS (OR 3.7; 95% CI 1.255–10.812), than in non-frail patients.

Conclusion

The four instruments had high feasibility providing variable prevalence of frailty. FRAIL and CFS predicted well for three-month mortality, and FRAIL also for length of stay. However, none of the instruments predicted for the other secondary outcomes of the study.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-022-00645-1.

Interventions for Frailty Among Older Adults With Cardiovascular Disease: JACC State-of-the-Art Review

With the aging of the world's population, a large proportion of patients seen in cardiovascular practice are older adults, but many patients also exhibit signs of physical frailty. Cardiovascular disease and frailty are interdependent and have the same physiological underpinning that predisposes to the progression of both disease processes. Frailty can be defined as a phenomenon of increased vulnerability to stressors due to decreased physiological reserves in older patients and thus leads to poor clinical outcomes after cardiovascular insults. There are various pathophysiologic mechanisms for the development of frailty: cognitive decline, physical inactivity, poor nutrition, and lack of social supports; these risk factors provide opportunity for various types of interventions that aim to prevent, improve, or reverse the development of frailty syndrome in the context of cardiovascular disease. There is no compelling study demonstrating a successful intervention to improve a global measure of frailty. Emerging data from patients admitted with heart failure indicate that interventions associated with positive outcomes on frailty and physical function are multidimensional and include tailored cardiac rehabilitation. Contemporary cardiovascular practice should actively identify patients with physical frailty who could benefit from frailty interventions and aim to deliver these therapies in a patient-centered model to optimize quality of life, particularly after cardiovascular interventions.

Frailty-aware care: giving value to frailty assessment across different healthcare settings

Healthcare systems need to adapt to better serve an aging population with complex presentations. Frailty assessments are a potential means to address this heterogeneity in aging to identify individuals at increased risk for adverse health outcomes. Furthermore, frailty assessments offer an opportunity to optimize patient care in various healthcare settings. While the vast number of frailty assessment tools available can be a source of confusion for clinicians, each tool has features adaptable to the constraints and goals of different healthcare settings. This review discusses and compares barriers, facilitators, and the application of frailty assessments in primary care, the emergency department/intensive care unit and surgical care to cover a breadth of settings with different frailty assessment considerations. The implementation of frailty-aware care across healthcare settings potentiates better healthcare outcomes for older adults.

Frailty and In-Hospital Mortality Risk Using EHR Nursing Data

PurposeThe purpose of this study was to evaluate four definitions of a Frailty Risk Score (FRS) derived from EHR data that includes combinations of biopsychosocial risk factors using nursing flowsheet data or International Classification of Disease, 10th revision (ICD-10) codes and blood biomarkers and its predictive properties for in-hospital mortality in adults ≥50 years admitted to medical-surgical units. Methods In this retrospective observational study and secondary analysis of an EHR dataset, survival analysis and Cox regression models were performed with sociodemographic and clinical covariates. Integrated area under the ROC curve (iAUC) across follow-up time based on Cox modeling was estimated. Results The 46,645 patients averaged 1.5 hospitalizations (SD = 1.1) over the study period and 63.3% were emergent admissions. The average age was 70.4 years (SD = 11.4), 55.3% were female, 73.0% were non-Hispanic White (73.0%), mean comorbidity score was 3.9 (SD = 2.9), 80.5% were taking 1.5 high risk medications, and 42% recorded polypharmacy. The best performing FRS-NF-26-LABS included nursing flowsheet data and blood biomarkers (Adj. HR = 1.30, 95% CI [1.28, 1.33]), with good accuracy (iAUC = .794); the reduced model with age, sex, and FRS only demonstrated similar accuracy. The poorest performance was the ICD-10 code-based FRS. Conclusion The FRS captures information about the patient that increases risk for in-hospital mortality not accounted for by other factors. Identification of frailty enables providers to enhance various aspects of care, including increased monitoring, applying more intensive, individualized resources, and initiating more informed discussions about treatments and discharge planning.

How frail is frail? A systematic scoping review and synthesis of high impact studies

AIMS

While the frailty index (FI) is a continuous variable, an FI score of 0.25 has construct and predictive validity to categorise community-dwelling older adults as frail or non-frail. Our study aimed to explore which FI categories (FI scores and labels) were being used in high impact studies of adults across different care settings and why these categories were being chosen by study authors.

METHODS

For this systematic scoping review, Medline, Cochrane and EMBASE databases were searched for studies that measured and categorised an FI. Of 1314 articles screened, 303 met the eligibility criteria (community: N = 205; residential aged care: N = 24; acute care: N = 74). For each setting, the 10 studies with the highest field-weighted citation impact (FWCI) were identified and data, including FI scores and labels and justification provided, were extracted and analysed.

RESULTS

FI scores used to distinguish frail and non-frail participants varied from 0.12 to 0.45 with 0.21 and 0.25 used most frequently. Additional categories such as mildly, moderately and severely frail were defined inconsistently. The rationale for selecting particular FI scores and labels were reported in most studies, but were not always relevant.

CONCLUSIONS

High impact studies vary in the way they categorise the FI and while there is some evidence in the community-dweller literature, FI categories have not been well validated in acute and residential aged care. For the time being, in those settings, the FI should be reported as a continuous variable wherever possible. It is important to continue working towards defining frailty categories as variability in FI categorisation impacts the ability to synthesise results and to translate findings into clinical practice.

Accounting for frailty and multimorbidity when interpreting high-sensitivity troponin I tests in oldest old

Background

Older patients evaluated in Emergency Departments (ED) for suspect Myocardial Infarction (MI) frequently exhibit unspecific elevations of serum high‐sensitivity troponin I (hs‐TnI), making interpretation particularly challenging for emergency physicians. The aim of this longitudinal study was to identify the interaction of multimorbidity and frailty with hs‐TnI levels in older patients seeking emergency care.

Methods

A group of patients aged≥75 with suspected MI was enrolled in our acute geriatric ward immediately after ED visit. Multimorbidity and frailty were measured with Cumulative Illness Rating Scale (CIRS) and Clinical Frailty Scale (CFS), respectively. The association of hs‐TnI with MI (main endpoint) was assessed by calculation of the Area Under the Receiver‐Operating Characteristic Curve (AUROC), deriving population‐specific cut‐offs with Youden test. The factors associated with hs‐TnI categories, including MI, CFS and CIRS, were determined with stepwise multinomial logistic regression. The association of hs‐TnI with 3‐month mortality (secondary endpoint) was also investigated with stepwise logistic regression.

Results

Among 268 participants (147 F, median age 85, IQR 80–89), hs‐TnI elevation was found in 191 cases (71%, median 23 ng/L, IQR 11–65), but MI was present in only 12 cases (4.5%). hs‐TnI was significantly associated with MI (AUROC 0.751, 95% CI 0.580–0.922, p = 0.003), with an optimal cut‐off of 141 ng/L. hs‐TnI levels ≥141 ng/L were significantly associated with CFS (OR 1.58, 95% CI 1.15–2.18, p = 0.005), while levels <141 ng/L were associated with the cardiac subscore of CIRS (OR 1.36, 95% CI 1.07–1.71, p = 0.011). CFS, but not hs‐TnI levels, predicted 3‐month mortality.

Conclusions

In geriatric patients with suspected MI, frailty and cardiovascular multimorbidity should be carefully considered when interpreting emergency hs‐TnI testing.

Ability of 3 Frailty Measures to Predict Short-Term Outcomes in Older Patients Admitted for Post-Acute Inpatient Rehabilitation

OBJECTIVES

To evaluate the ability of 3 commonly used frailty measures to predict short-term clinical outcomes in older patients admitted for post-acute inpatient rehabilitation.

DESIGN

Observational cohort study.

SETTING AND PARTICIPANTS

Consecutive patients (n = 207) admitted to a geriatric inpatient rehabilitation facility.

METHODS

Frailty on admission was assessed using a frailty index, the physical frailty phenotype, and the Clinical Frailty Scale (CFS). Predictive capacity of the frailty instruments was analyzed for (1) nonhome discharge, (2) readmission to acute care, (3) functional decline, and (4) prolonged length of stay, using multivariate logistic regression models and receiver operating characteristic (ROC) curves.

RESULTS

The number of patients classified as frail was 91 (44.0%) with the frailty index, 134 (64.7%) using the frailty phenotype, and 151 (73.0%) with the CFS. The 3 frailty measures revealed acceptable discriminatory accuracy for nonhome discharge (area under the curve ≥ 0.7) but differed in their predictive ability: the adjusted odds ratio (OR) for nonhome discharge was highest for the CFS [6.2, 95% confidence interval (CI) 1.8-21.1], compared to the frailty index (4.1, 95% CI 2.0-8.4) and the frailty phenotype (OR 2.9, 95% CI 1.2-6.6). For the other outcomes, discriminatory accuracy based on ROC tended to be lower and predictive ability varied according to frailty measure. Readmission to acute care from inpatient rehabilitation was predicted by all instruments, most pronounced by the frailty phenotype (OR 5.4, 95% CI 1.6-18.8) and the frailty index (OR 2.5, 95% CI 1.1-5.6), and less so by the CFS (OR 1.4, 95% CI 0.5-3.8).

CONCLUSIONS AND IMPLICATIONS

Frailty measures may contribute to improved prediction of outcomes in geriatric inpatient rehabilitation. The choice of the instrument may depend on the individual outcome of interest and the corresponding discriminatory ability of the frailty measure.

Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score

We evaluated mortality in a cohort of hip fracture patients and implemented a risk prediction score named ASAgeCoGeCC with excellent discrimination. It allowed to separate patients in 3 different risk groups with distinct mortality rates. Recognition of the heterogeneity of patients with femoral fractures may have relevant implications for their management.

INTRODUCTION

Usage of risk prediction models to estimate postoperative mortality risk for hip fracture patients represents a useful tool to give insight in the prognosis and assist in clinical decision-making. The aim of this study was to identify a predictive model able to determine the possible presence of distinct subgroups of hip fracture patients by risk classes in the mid-term.

METHODS

Three hundred twenty-three hip fracture patients were evaluated, and mortality rates at 30 days, 1, 2, and 4 years were calculated. A multivariate logistic regression analysis using mortality 4 years after fracture as a dependent variable found ASA score, age, cognitive status, gender, and Charlson Comorbidities Index (CCI) as significant risk factors. Using these items, a score named ASAgeCoGeCC was implemented and compared with CCI and Nottingham Hip Fracture Score (NHFS) by a receiver operating characteristic (ROC) curve.

RESULTS

The area under the ROC curve for ASAgeCoGeCC was always greater than that of CCI and NHFS and ranged between 0.804 and 0.820 suggesting an excellent discrimination. The ASAgeCoGeCC logistic model showed also a good calibration. Patients were divided in 3 groups: a low risk group, an intermediate risk group with an odds ratio for 4-year mortality of 5.6 (95% CI 2.9-10.6), and a high risk group with an odds ratio 21.6 (95% CI 10.6-44).

CONCLUSION

The ASAgeCoGeCC Score is a predictive tool for mortality after hip fracture with good calibration and excellent discrimination properties. It is the first scoring system stratifying hip fracture patients' mortality at 4 years from fracture.

Predictive value of intrinsic capacity on adverse outcomes among community-dwelling older adults

OBJECTIVE

To examine the predictive value of intrinsic capacity on one-year incident adverse outcomes among community-dwelling older adults.

METHODS

A total of 756 community-dwelling older adults aged ≥ 60 years were followed up after 1 year. Intrinsic capacity was assessed using the revised integrated care for older people screening tool. Adverse outcomes included incident disability, recurrent falls, hospitalization, emergency department visits, and poor quality of life. Multivariate logistic regression models were performed to evaluate the predictive value of intrinsic capacity domains on adverse outcomes.

RESULTS

Cognitive decline, limited mobility, visual impairment and depressive symptoms predicted incident disability. Visual impairment predicted recurrent falls. Cognitive decline and limited mobility predicted emergency department visits. Limited mobility predicted poor quality of life.

DISCUSSION

Intrinsic capacity could predict incident adverse outcomes among community-dwelling older adults. Assessing intrinsic capacity would facilitate early identification of older adults at high risk of adverse outcomes and prompt targeted interventions.

Combined Impact of Positive Screen for Sarcopenia and Frailty on Physical Function, Cognition and Nutrition in the Community Dwelling Older Adult

Background

While sarcopenia and frailty independently contribute to functional impairment and disability, the combined impact resulting from their interplay is unclear. We investigated if functional, physical, cognitive, and nutritional measures were more adversely affected in community-dwelling older adults who were screened positive for both frailty and sarcopenia.

Methods

Using the FRAIL (≥1) and SARC-F (Strength, Assistance with walking, Rising from a chair, Climbing stairs, and Falls) (≥1) scales for screening, we categorized 200 participants (age, 67.9±7.9 years) as combined (both positive, 12.5%), intermediate (either positive, 25.5%), or robust (both negative, 62%).

Results

Comparisons of the three groups showed that the combined group had significantly worse functional ability (Frenchay Activities Index and Modified Barthel Index), physical performance (knee extension, gait speed, and Short Physical Performance Battery score), cognition/mood (Chinese Mini-Mental State Examination [CMMSE] score and Geriatric Depression Scale), and nutrition (Mini Nutritional Assessment [MNA] score) (p<0.05, one-way analysis of variance). Post-hoc comparisons revealed similar findings between the combined and robust groups, except for knee extension and CMMSE scores. Only MNA scores were significantly lower between the intermediate and robust groups.

Conclusion

Functional ability, physical performance, and nutrition were more adversely affected in our study population of community-dwelling older adults who screened positive for both frailty and sarcopenia than in those who screened positive for either or neither, supporting the use of community screening for early detection and intervention for both frailty and sarcopenia as opposed to either alone.

Clinical Frailty Scale, K-FRAIL questionnaire, and clinical outcomes in an acute hospitalist unit in Korea

BACKGROUND/AIMS

Frailty increases the risks of in-hospital adverse events such as delirium, falls, and functional decline in older adults. We assessed the feasibility and clinical relevance of frailty status in Korean older inpatients using the Clinical Frailty Scale (CFS) and Korean version of the Fatigue, Resistance, Ambulation, Illnesses, & Loss of Weight scale (K-FRAIL) questionnaires.

METHODS

Frailty status was measured using the Korean-translated version of the CFS and K-FRAIL questionnaire within 3 days from admission in 144 consecutive patients aged 60 years or older. The correlation between CFS and K-FRAIL score was assessed. The criterion validity of CFS was assessed using receiver operating characteristic analysis. As outcomes, delirium, bedsore, length of stay (LOS), in-hospital mortality, and unplanned 30-day readmission were measured by reviewing medical records.

RESULTS

The mean age of the study population was 70.1 years (range, 60 to 91), and 75 (52.1%) were men. By linear regression analysis, CFS and K-FRAIL were positively correlated (B = 0.72, p < 0.001). A CFS cutoff of ≥ 5 maximized sensitivity + specificity to classify frailty using K-FRAIL as a reference (C-index = 0.893). Higher frailty burden by both CFS and K-FRAIL was associated with higher LOS and bedsores. Unplanned readmission and in-hospital mortality were associated with higher CFS score but not with K-FRAIL score, after adjusting for age, gender, polypharmacy, and multimorbidity.

CONCLUSION

Frailty status by CFS was associated with LOS, bedsores, unplanned readmission, and in-hospital mortality. CFS can be used to screen high-risk patients who may benefit from geriatric interventions and discharge planning in acutely hospitalized older adults.

Validity of the Clinical Frailty Scale in Korean older patients at a geriatric clinic

BACKGROUND/AIMS

We aimed to assess the validity of the Korean translated version of the Clinical Frailty Scale (CFS) in determining the frailty status in geriatric outpatients.

METHODS

The records of 123 ambulatory outpatients who had undergone CFS and comprehensive geriatric assessments (CGAs) including measurements for the Cardiovascular Health Study (CHS) frailty scale and the frailty index (CGA-FI) were analyzed. Correlations between CFS, CHS frailty scale, and CGA-FI were assessed. The ability of CFS to classify frailty status was calculated using the CHS frailty scale and CGA-FI as references.

RESULTS

The mean CFS score was 3.2 in the study population, with a mean age of 77.49 years (45.5% men). Individuals with higher CFS scores were older, had a greater burden of chronic diseases, and worse daily functions and cognitive performance. CFS scores positively correlated with CGA-FI (B = 0.78, p < 0.001) and CHS frailty scale (B = 0.67, p < 0.001) scores. For CFS, C-statistics to classify frailty by CGA-FI and CHS scale were 0.905 and 0.826, respectively. The cut-off value of CFS ≥ 4 maximized Youden's J to classify frailty by both the CHS scale and CGAFI.

CONCLUSION

The CFS is a valid screening tool to assess the frailty status in outpatients of a geriatric clinic in Korea. As a simple and quick measure, the CFS may facilitate frailty assessments in real-world clinical practice.

"Falling off the wagon": older adults' experiences of living with frailty in rural arctic communities

Most populations around the world are ageing. The proportion of older adults in the population is larger and is growing more rapidly in rural communities than in urban areas. Longevity increases the risk of frailty. Our aim was to explore how single-living frail older adults experience living with frailty in everyday life in rural Arctic areas. Over eight months, we conducted a series of three interviews with eight older adults identified as frail by home care services in two rural municipalities in northern Norway. We conducted a thematic analysis. We generated three themes. Frailty as a dynamic phenomenon indicated that the participants’ experiences of frailty varied over time. Frailty as part of old age referred to the findings that many participants tried to adapt to the changing circumstances, while others found it more challenging to accept the experienced limitations. Frailty in a rural Arctic context concerned the findings that the rural Arctic environment affected the participants’ experiences of frailty due to its long, snowy winters; long distances between communities and municipal centres; and out-migration. Our results demonstrate that frailty is a consequence of the interplay between ageing persons and their physical and social environments.

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.