Prevalence of frailty in a tertiary hospital: A point prevalence observational study

Blowing the whistle on mixed gender hospital rooms in Australia and New Zealand: a human rights issue

The practice of placing men and women in the same hospital room (mixed gender rooms) has been prohibited in the UK National Health Service for over a decade. However, recent research demonstrates that the practice is common and increasing in a major New Zealand public hospital. Reports and complaints show that the practice also occurs in Australia. We argue that mixed gender rooms violate the fundamental human rights of personal security and dignity. The high rates of cognitive impairment, sensory impairment and frailty in hospital wards exacerbates the risk for these violations and subsequent harm. We argue for the adoption of specific national policies prohibiting mixed gender rooms and public reporting of breaches. Importantly, these guidelines can be adopted without compromising the rights of gender minorities. In the long term, hospitals should be built with single occupancy rooms.

Hospital-Based Health Professionals' Perceptions of Frailty in Older People

BACKGROUND AND OBJECTIVES

There is a high prevalence of frailty amongst older patients in hospital settings. Frailty guidelines exist but implementation to date has been challenging. Understanding health professional attitudes, knowledge, and beliefs about frailty is critical in understanding barriers and enablers to guideline implementation, and the aim of this study was to understand these in rehabilitation multidisciplinary teams in hospital settings.

RESEARCH DESIGN AND METHODS

Twenty-three semistructured interviews were conducted with health professionals working in multidisciplinary teams on geriatric and rehabilitation wards in Adelaide and Sydney, Australia. Interviews were audio recorded, transcribed, and coded by 2 researchers. A codebook was created and interviews were recoded and applied to the Framework Method of thematic analysis.

RESULTS

Three domains were developed: diagnosing frailty, communicating about frailty, and managing frailty. Within these domains, 8 themes were identified: (1) diagnosing frailty has questionable benefits, (2) clinicians don't use frailty screening tools, (3) frailty can be diagnosed on appearance and history, (4) frailty has a stigma, (5) clinicians don't use the word "frail" with patients, (6) frailty isn't always reversible, (7) there is a lack of continuity of care after acute admission, and (8) the community setting lacks resources.

DISCUSSION AND IMPLICATIONS

Implementation of frailty guidelines will remain challenging while staff avoid using the term "frail," don't perceive benefit of using screening tools, and focus on the individual aspects of frailty rather than the syndrome holistically. Clinical champions and education about frailty identification, reversibility, management, and communication techniques may improve the implementation of frailty guidelines in hospitals.

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

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

Prevalence and Factors Associated With Frailty Among Older Adults Living With HIV Compared to Their Uninfected Peers From the Kenyan Coast

Objectives: a) To document the prevalence and correlates of frailty among older adults living with HIV (OALWH) and their uninfected peers, and b) Investigate HIV status as an independent predictor of frailty. Methods: This cross-sectional study was conducted between 2020 and 2021 at the Kenyan coast among 440 older adults aged ≥50 years (257 OALWH). Frailty was assessed using the Reported Edmonton Frail Scale. Logistic regression was used to examine the correlates of frailty. Results: The prevalence of frailty was significantly higher among OALWH (24%) than their uninfected peers (13%). HIV seropositivity was not independently associated with frailty. Sleeping difficulties, ageism, higher waist/hip ratio, visiting traditional healers, HIV treatment change/interruption, prolonged illness following HIV diagnosis, and self-reported diabetes were significantly associated with higher odds of frailty. Residing in larger households, having higher income, having friends, being male and light physical activities were significantly associated with reduced odds of frailty. Conclusion: The prevalence of frailty is elevated among OALWH; however, factors other than HIV are predominant, particularly psychosocial factors. Multicomponent interventions are needed to prevent/delay and manage frailty in this setting.

Frailty as a predictor of mortality and readmission rate in secondary mitral regurgitation

INTRODUCTION

Selection in patients with functional mitral regurgitation (MR) to identify responders to interventions is challenging. In these patients, frailty might be used as a multidimensional parameter to summarize the resilience to stressors. Our objective was to evaluate frailty as a predictor of outcome in patients with moderate to severe secondary MR.

METHODS

We conducted a single-center retrospective observational cohort study and included 239 patients with moderate to severe secondary MR aged 65 years or older between 2014 and 2020. Echocardiography was performed at baseline; frailty was evaluated using the clinical frailty scale (CFS). The combined primary endpoint was hospitalization for heart failure and all-cause mortality.

RESULTS

A total of 53% (127) of all patients were classified as CFS 4 (living with mild frailty) or higher. Frail patients had a higher risk for the combined endpoint (hazard ratio, HR 3.70, 95% confidence interval, CI 2.12-6.47; p < 0.001), 1‑year mortality (HR 5.94, 95% CI 1.76-20.08; p < 0.001) even after adjustment for EuroSCORE2. The CFS was predictive for the combined endpoint (AUC 0.69, 95% CI 0.62-0.75) and outperformed EuroSCORE2 (AUC 0.54, 95% CI 0.46-0.62; p = 0.01). In sensitivity analyses, we found that frailty was associated with adverse outcomes at least in trend in all subgroups.

CONCLUSION

For older, medically treated patients with moderate to severe secondary mitral regurgitation, frailty is an independent predictor for the occurrence of death and heart failure-related readmission within 1 year and outperformed the EuroSCORE2. Frailty should be assessed routinely in patients with heart failure to guide clinical decision making for mitral valve interventions or conservative treatment.

How does hospitalization affect the frailty status of geriatric patients? Prospective study from internal medicine wards of a university hospital

OBJECTIVES

Frailty is a dynamic process. Frailty in the baseline, discharge, and post-discharge are important in the management of patients. We aimed to see how hospitalization affects frailty and to evaluate its effects on health outcomes.

METHODS

It was conducted with patients aged 65 and over who were hospitalized in the internal medicine wards of a university hospital. Frailty was evaluated by Clinical Frailty Scale within the first 24 h of hospitalization, within 24 h before discharge, and at third months after discharge.

RESULTS

Ninety-six (57.8%) of patients at baseline, 79 (50.6%) at discharge, and 68 (47.9%) at 3 months were frail. According to baseline, 12 (7.7%) patients changed from frail to non-frail at discharge, while 4 (2.6%) patients became frail (p = 0.08). According to the baseline, 18 (12.5%) patients went from frail to non-frail at 3 months, while 7 (4.9%) patients turned frail (p = 0.04). In regression analysis, living with frailty at discharge and low education level increased re-hospitalization. Five or more are considered living with frailty.

DISCUSSION

Hospitalization may have positive effects on frailty in older adult patients hospitalized in internal medicine wards, the main effect is seen to be more significant in the post-discharge follow-up.

Controlling Nutritional Status (CONUT) Score as a Predictive Marker in Hospitalized Frail Elderly Patients

The Controlling Nutritional Status (CONUT) score is a simple screening tool able to detect altered nutritional status as well as to predict clinical adverse outcomes in specific populations. No data are available in frail patients. This study aims to investigate the predictive role of the CONUT score on mortality and length of stay (LOS) in frail patients admitted to an Internal Medicine Department. We consecutively enrolled 246 patients aged 65 years or older, divided into two groups based on frailty status. The two groups were further divided according to low (<5) or high (≥5) CONUT score. Length of stay (LOS) was higher in frail patients than not-frail patients, as well as in the frail group with high CONUT scores compared to the frail group with low CONUT scores. Multiple linear regression showed an increase of 2.1 days for each additional point to the CONUT score. In-hospital mortality was higher in frail compared to not-frail patients, but it did not differ between frail patients with high CONUT scores and frail patients with low CONUT scores. An analysis of the survival curve for 30-day mortality showed a higher mortality rate for frail/high-CONUT-score patients as compared to the not-frail/low-CONUT-score group. The CONUT score shows high prognostic value for higher LOS-but not mortality-in the clinical setting of internal medicine departments for old frail patients.

Implementation of a frailty intervention in the transition from hospital to home: a realist process evaluation protocol for the FORTRESS trial

INTRODUCTION

Frailty in Older people: Rehabilitation, Treatment, Research Examining Separate Settings (the FORTRESS study) is a multisite, hybrid type II, stepped wedge, cluster, randomised trial examining the uptake and outcomes of a frailty intervention. The intervention is based on the 2017 Asia Pacific Clinical Practice Guidelines for the Management of Frailty and begins in the acute hospital setting and transitions to the community. The success of the intervention will require individual and organisational behaviour change within a dynamic health system. This process evaluation will examine the multiple variables at play in the context and mechanism of the frailty intervention to enhance understanding of the outcomes of the FORTRESS study and how the outcomes can be translated from the trial into broader practice.

METHODS AND ANALYSIS

The FORTRESS intervention will recruit participants from six wards in New South Wales and South Australia, Australia. Participants of the process evaluation will include trial investigators, ward-based clinicians, FORTRESS implementation clinicians, general practitioners and FORTRESS participants. The process evaluation has been designed using realist methodology and will occur in parallel to the FORTRESS trial. A mixed-method approach will be used with qualitative and quantitative data collected from interviews, questionnaires, checklists and outcome assessments. Qualitative and quantitative data will be examined for CMOCs (Context, Mechanism, Outcome Configurations) and programme theories will be developed, tested and refined. This will facilitate development of more generalisable theories to inform translation of frailty intervention within complex healthcare systems.

ETHICS AND DISSEMINATION

Ethical approval for the FORTRESS trial, inclusive of the process evaluation, has been obtained from the Northern Sydney Local Health District Human Research Ethics Committees reference number 2020/ETH01057. Recruitment for the FORTRESS trial uses opt-out consent. Dissemination will be via publications, conferences and social media.

TRIAL REGISTRATION NUMBER

ACTRN12620000760976p (FORTRESS trial).

Frail2Fit study protocol: a feasibility and acceptability study of a virtual multimodal intervention delivered by volunteers to improve functional outcomes in older adults with frailty after discharge from hospital

INTRODUCTION

Physical activity (PA) and replete nutritional status are key to maintaining independence and improving frailty status among frail older adults. In response to the COVID-19 pandemic, healthcare has increasingly turned to virtual modes of delivery and there is interest in the use of trained volunteers to deliver PA and nutrition interventions. We aim to evaluate the feasibility and acceptability of training hospital volunteers to deliver an online intervention, comprising exercise, behaviour change and nutrition support, to older people with frailty after discharge from hospital.

METHODS

We will use a quasi-experimental mixed methods approach. Hospital volunteers (n=6) will be trained to deliver an online, 3-month, multimodal intervention to frail (Clinical Frailty Scale ≥5) adults ≥65 years (n=30) after discharge from hospital. Feasibility will be assessed by determining the number of volunteers recruited, trained and retained at the end of the study; the proportion of intervention sessions delivered; participant recruitment, retention and adherence to the intervention. To determine the acceptability of the intervention, interviews will be conducted among a purposive sample of older adults, and volunteers. Secondary outcomes will include physical function, appetite, well-being, quality of life, anxiety and depression, self-efficacy for managing chronic disease and PA. Outcomes will be measured at baseline, 3 months and 6 months.

ANALYSIS

Descriptive statistics will be used to describe feasibility and adherence to the intervention. Secondary outcomes at baseline will be compared at 3 and 6 months. Interviews will be transcribed verbatim and analysed using thematic analysis.

ETHICS AND DISSEMINATION

Health Research Authority ethical approval was obtained on 30 May 2022 (reference: 22/WA/0155). Results will be disseminated through peer-reviewed journal articles, volunteer organisations, National Health Service communication systems and social media platforms. A toolkit will be developed to facilitate roll out of volunteer training.

TRIAL REGISTRATION NUMBER

NCT05384730.

Using EHR Data to Identify Patient Frailty and Risk for ICU Transfer

The predictive properties of four definitions of a frailty risk score (FRS) constructed using combinations of nursing flowsheet data, laboratory tests, and ICD-10 codes were examined for time to first intensive care unit (ICU) transfer in medical-surgical inpatients ≥50 years of age. Cox regression modeled time to first ICU transfer and Schemper-Henderson explained variance summarized predictive accuracy of FRS combinations. Modeling by age group and controlling for sex, all FRS measures significantly predicted time to first ICU transfer. Further multivariable modeling controlling for clinical characteristics substantially improved predictive accuracy. The effect of frailty on time to first ICU transfer depended on age, with highest risk in 50 to <60 years and ≥80 years age groups. Frailty prevalence ranged from 25.1% to 56.4%. Findings indicate that FRS-based frailty is a risk factor for time to first ICU transfer and should be considered in assessment and care-planning to address frailty in high-risk patients.Frailty prevalence was highest med-surg pts 60 to <70 years (56%); highest risk for time to first ICU transfer was in younger (50 to <60 years) and older (≥80 years) groups.

Frailty and pain in an acute private hospital: an observational point prevalence study

Frailty and pain in hospitalised patients are associated with adverse clinical outcomes. However, there is limited data on the associations between frailty and pain in this group of patients. Understanding the prevalence, distribution and interaction of frailty and pain in hospitals will help to determine the magnitude of this association and assist health care professionals to target interventions and develop resources to improve patient outcomes. This study reports the point prevalence concurrence of frailty and pain in adult patients in an acute hospital. A point prevalence, observational study of frailty and pain was conducted. All adult inpatients (excluding high dependency units) at an acute, private, 860-bed metropolitan hospital were eligible to participate. Frailty was assessed using the self-report modified Reported Edmonton Frail Scale. Current pain and worst pain in the last 24 h were self-reported using the standard 0-10 numeric rating scale. Pain scores were categorised by severity (none, mild, moderate, severe). Demographic and clinical information including admitting services (medical, mental health, rehabilitation, surgical) were collected. The STROBE checklist was followed. Data were collected from 251 participants (54.9% of eligible). The prevalence of frailty was 26.7%, prevalence of current pain was 68.1% and prevalence of pain in the last 24 h was 81.3%. After adjusting for age, sex, admitting service and pain severity, admitting services medical (AOR: 13.5 95% CI 5.7-32.8), mental health (AOR: 6.3, 95% CI 1. 9-20.9) and rehabilitation (AOR: 8.1, 95% CI 2.4-37.1) and moderate pain (AOR: 3.9, 95% CI 1. 6-9.8) were associated with increased frailty. The number of older patients identified in this study who were frail has implications for managing this group in a hospital setting. This indicates a need to focus on developing strategies including frailty assessment on admission, and the development of interventions to meet the care needs of these patients. The findings also highlight the need for increased pain assessment, particularly in those who are frail, for more effective pain management.Trial registration: The study was prospectively registered (ACTRN12620000904976; 14th September 2020).

In Situ Simulation Training for Frailty

BACKGROUND

People living with frailty account for a significant proportion of hospital inpatients and are at increased risk of adverse events during admission. The understanding of frailty remains variable among hospital staff, and there is a need for effective frailty training across multidisciplinary teams. Simulation is known to be advantageous for improving human factor skills in multidisciplinary teams. In situ simulation can increase accessibility and promote ward team learning, but its effectiveness with respect to frailty has not been explored.

METHOD

A single-centre, multi-fidelity, inter-professional in situ frailty simulation programme was developed. One-hour sessions were delivered weekly using frailty-based clinical scenarios. Mixed-method evaluation was used, with data collected pre- and post-session for comparison.

RESULTS

In total, 86 multidisciplinary participants attended 19 sessions. There were significant improvements in self-efficacy rating across 10 of 12 human factor domains and in all frailty domains (p < 0.05). The common learning themes were situational awareness, communication and teamwork. Participants commented on the value of learning within ward teams and having the opportunity to debrief.

CONCLUSION

In situ simulation can improve the self-efficacy of clinical and human factor skills related to frailty. The results are limited by the nature of self-reporting methods, and further studies assessing behavioural change and clinical outcomes are warranted.

Exploring the perspectives of clinicians on solutions to tackling physical inactivity and sedentary behaviour in older hospital patients

OBJECTIVE

Despite growing research on sedentary behaviour and physical activity among hospitalised older people, there is little evidence of effective intervention strategies. This study sought input from clinical staff from various health professions on strategies to increase physical activity and reduce sedentariness for hospitalised older people.

METHODS

A 60-minute focus group discussion involving two physiotherapists, two occupational therapists, one doctor, one nurse and one social worker was conducted. Participants were recruited from a subacute geriatric ward and an acute orthopaedic ward with an orthogeriatric service at a general hospital. Data were thematically analysed.

RESULTS

Six strategies to reduce sedentary behaviour and increase physical activity were identified: clear and positive communication for patients and family/carers; educating patients and family/carers; involving family/carers and volunteers; setting physical activity goals; utilising group activities and activities of daily living (ADL); and making the hospital environment activity-friendly.

CONCLUSIONS

This research has revealed novel strategies to increase physical activity and reduce sedentary behaviour in hospital. The next step is to design interventions for testing.

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.

DIGItal Health Literacy after COVID-19 Outbreak among Frail and Non-Frail Cardiology Patients: The DIGI-COVID Study

BACKGROUND

Telemedicine requires either the use of digital tools or a minimum technological knowledge of the patients. Digital health literacy may influence the use of telemedicine in most patients, particularly those with frailty. We aimed to explore the association between frailty, the use of digital tools, and patients' digital health literacy.

METHODS

We prospectively enrolled patients referred to arrhythmia outpatient clinics of our cardiology department from March to September 2022. Patients were divided according to frailty status as defined by the Edmonton Frail Scale (EFS) into robust, pre-frail, and frail. The degree of digital health literacy was assessed through the Digital Health Literacy Instrument (DHLI), which explores seven digital skill categories measured by 21 self-report questions.

RESULTS

A total of 300 patients were enrolled (36.3% females, median age 75 (66-84)) and stratified according to frailty status as robust (EFS ≤ 5; 70.7%), pre-frail (EFS 6-7; 15.7%), and frail (EFS ≥ 8; 13.7%). Frail and pre-frail patients used digital tools less frequently and accessed the Internet less frequently compared to robust patients. In the logistic regression analysis, frail patients were significantly associated with the non-use of the Internet (adjusted odds ratio 2.58, 95% CI 1.92-5.61) compared to robust and pre-frail patients. Digital health literacy decreased as the level of frailty increased in all the digital domains examined.

CONCLUSIONS

Frail patients are characterized by lower use of digital tools compared to robust patients, even though these patients would benefit the most from telemedicine. Digital skills were strongly influenced by frailty.

Frailty in older Turkish cancer patients undergoing post-surgical adjuvant chemotherapy

Background:

Understanding the frailty levels of older patients undergoing surgery and chemotherapy will contribute to timely and reliable care practices and improve care outcomes.

Aims:

To determine the frailty of cancer patients who received chemotherapy treatment after surgery.

Methods:

This descriptive study included 192 Turkish patients aged over 60 years who received chemotherapy after surgery for cancer. Data were collected using a patient survey and the Edmonton Frailty Scale.

Results:

The average age of the participants was 66.3±5.3 years. Around 40% (40.6%) of the sample were diagnosed with breast cancer. The Edmonton Frailty Scale score of the group was 6.6 (SD±3.7). A quarter of the sample (22.9%) were at risk of frailty. Frailty levels were higher in older individuals with gastrointestinal cancers and other cancer groups compared with patients with breast cancer (p<0.001); patients with additional chronic diseases other than cancer (p=0.004); and in those with a history of falling and hospitalisation in the past year (p<0.001).

Conclusions:

Older patients with gastrointestinal cancer, additional chronic disease and a history of falling and hospitalisation within the past year should be evaluated closely for frailty before and during chemotherapy. It is crucial to consider the patient's vulnerability when making care and treatment decisions for older patients with cancer. Understanding the frailty levels of older patients who undergo surgery and receive chemotherapy can help health professionals to decide on timely and reliable care practices and improve care outcomes.

Transitions between degrees of multidimensional frailty among older people admitted to intermediate care: a multicentre prospective study

Background

Frailty is a dynamic condition that is clinically expected to change in older individuals during and around admission to an intermediate care (IC) facility. We aimed to characterize transitions between degrees of frailty before, during, and after admission to IC and assess the impact of these transitions on health outcomes.

Methods

Multicentre observational prospective study in IC facilities in Catalonia (North-east Spain). The analysis included all individuals aged ≥ 75 years (or younger with chronic complex or advanced diseases) admitted to an IC facility. The primary outcome was frailty, measured by the Frail-VIG index and categorized into four degrees: no frailty, and mild, moderate, and advanced frailty. The Frail-VIG index was measured at baseline (i.e., 30 days before IC admission) (Frail-VIG₀), on IC admission (Frail-VIG₁), at discharge (Frail-VIG₂), and 30 days post-discharge (Frail-VIG₃).

Results

The study included 483 patients with a mean (SD) age of 81.3 (10.2) years. At the time of admission, 27 (5.6%) had no frailty, and 116 (24%), 161 (33.3%), and 179 (37.1%) mild, moderate, and severe frailty, respectively. Most frailty transitions occurred within the 30 days following admission to IC, particularly among patients with moderate frailty on admission. Most patients maintained their frailty status after discharge. Overall, 135 (28%) patients died during IC stay. Frailty, measured either at baseline or admission, was significantly associated with mortality, although it showed a stronger contribution when measured on admission (HR 1.16; 95%CI 1.10–1.22; p < 0.001) compared to baseline (HR 1.10; 1.05–1.15; p < 0.001). When including frailty measurements at the two time points (i.e., baseline and IC admission) in a multivariate model, frailty measured on IC admission but not at baseline significantly contributed to explaining mortality during IC stay.

Conclusions

Frailty status varied before and during admission to IC. Of the serial frailty measures we collected, frailty on IC admission was the strongest predictor of mortality. Results from this observational study suggest that routine frailty measurement on IC admission could aid clinical management decisions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03378-9.

Validity of the Malnutrition Universal Screening Tool for Evaluation of Frailty Status in Older Hospitalised Patients

The malnutrition-universal-screening-tool (MUST) is commonly used for screening malnutrition in hospitalised patients but its utility in the detection of frailty is unknown. This study determined the utility of MUST in detection of frailty in older hospitalised patients. This prospective-study enrolled 243 patients ⩾65 years in a tertiary-teaching hospital in Australia. Patients with a MUST score of ⩾1 were classified as at-risk of malnutrition. Frailty status was determined by the Edmonton-Frail-Scale (EFS) and patients with an EFS score of >8 were classified as frail. We validated the MUST against the EFS by plotting a receiver-operating-characteristic-curve (ROC) curve and area-under-the-curve (AUC) was determined. The mean (SD) age was 83.9 (6.5) years and 126 (51.8%) were females. The EFS determined 149 (61.3%) patients as frail, while 107 (44.1%) patients were at-risk of malnutrition according to the MUST. There was a positive linear but weak association between the MUST and the EFS scores (Pearson's correlation coefficient= .22, 95% CI .12- .36, p < .001). The sensitivity, specificity, positive and negative predictive value of MUST in the detection of frailty was 51%, 67%, 78.5% and 37%, respectively and the AUC was .59 (95% CI .53-.65, p < .001). The MUST is moderately sensitive in detection of frailty in older-hospitalised patients.

Frailty in older people: Rehabilitation Treatment Research Examining Separate Settings (FORTRESS): protocol for a hybrid type II stepped wedge, cluster, randomised trial

Background

Frailty in older people is associated with increased risk of falls, longer length of stay in hospital, increased risk of institutionalisation and death. Frailty can be measured using validated tools. Multi-component frailty interventions are recommended in clinical practice guidelines but are not routinely implemented in clinical practice.

Methods

The Frailty in Older people: Rehabilitation, Treatment, Research Examining Separate Settings (FORTRESS) trial is a multisite, hybrid type II, stepped wedge, cluster, randomised trial with blinded assessment and intention-to-treat analysis being conducted in Australia. The study aims to determine the effectiveness and cost-effectiveness of an embedded individualised multicomponent frailty intervention (commencing in hospital and continuing in the community) on readmissions, frailty and quality of life when compared with usual care. Frail older people admitted to study wards with no significant cognitive impairment, who are expected to return home after discharge, will be eligible to participate. Participants will receive extra sessions of physiotherapy, pharmacy, and dietetics during their admission. A Community Implementation Facilitator will coordinate implementation of the frailty management strategies and primary network liaison. The primary outcome is number of days of non-elective hospital readmissions during 12 month follow-up period. Secondary outcomes include frailty status measured using the FRAIL scale; quality of life measured using the EQ-5D-5L; and time-to-event for readmission and readmission rates. The total cost of delivering the intervention will be assessed, and cost-effectiveness analyses will be conducted. Economic evaluation will include analyses for health outcomes measured in terms of the main clinical outcomes. Implementation outcomes will be collected as part of a process evaluation. Recruitment commenced in 2020 and we are aiming to recruit 732 participants over the three-year duration of the study.

Discussion

This study will reveal whether intervening with frail older people to address factors contributing to frailty can reduce hospital readmissions and improve frailty status and quality of life. If the FORTRESS intervention provides a clinically significant and cost-effective result, it will demonstrate an improved approach to treating frail patients, both in hospital and when they return home.

Trial Registration

Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12620000760976p. ANZCTR registered 24 July 2020.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03178-1.

Outcomes of Care by Geriatricians and Non-geriatricians in an Academic Hospital

Introduction

While hospitalist and internist inpatient care models dominate the landscape in many countries, geriatricians and internists are at the frontlines managing hospitalized older adults in countries such as Singapore and the United Kingdom. The primary aim of this study was to determine outcomes for older patients cared for by geriatricians compared with non-geriatrician-led care teams.

Materials and Methods

A retrospective cohort study of 1,486 Internal Medicine patients aged ≥75 years admitted between April and September 2021 was conducted. They were either under geriatrician or non-geriatrician (internists or specialty physicians) care. Data on demographics, primary diagnosis, comorbidities, mortality, readmission rate, Hospital Frailty Risk Score (HFRS), Age-adjusted Charlson Comorbidity Index, Length of Stay (LOS), and cost of hospital stay were obtained from the hospital database and analyzed.

Results

The mean age of patients was 84.0 ± 6.3 years, 860 (57.9%) females, 1,183 (79.6%) of Chinese ethnicity, and 902 (60.7%) under the care of geriatricians. Patients under geriatrician were significantly older and had a higher prevalence of frailty, dementia, and stroke, whereas patients under non-geriatrician had a higher prevalence of diabetes and hypertension. Delirium as the primary diagnosis was significantly higher among patients under geriatrician care. Geriatrician-led care model was associated with shorter LOS, lower cost, similar inpatient mortality, and 30-day readmission rates. LOS and cost were lower for patients under geriatrician care regardless of frailty status but significant only for low and intermediate frailty groups. Geriatrician-led care was associated with significantly lower extended hospital stay (OR 0.73; 95% CI 0.56–0.95) and extended cost (OR 0.69; 95% CI 0.54–0.95).

Conclusion

Geriatrician-led care model showed shorter LOS, lower cost, and was associated with lower odds of extended LOS and cost.

Consistency in the prevalence and associated factors of frailty determined by two instruments among hospitalised older adults: A cross-sectional study

AIMS AND OBJECTIVES

To investigate the consistency in the prevalence and associated factors of frailty determined by the physical-originated Fatigue, Resistance, Ambulation, Illnesses and Loss of weight (FRAIL) scale and the multidimensional Tilburg Frailty Indicators (TFI) scale.

BACKGROUND

Accurate assessment of frailty and the identification of its associated factors could guide the development and implementation of holistic and individualised treatment plan. However, recommendations regarding the selection of frailty assessment tools are inconclusive.

DESIGN

This is a cross-sectional study, the reporting of which followed the STROBE guidelines.

METHODS

A total of 1220 older adults were recruited from a university affiliated tertiary hospital in Xi'an City, Northwest China, and administrated with a social-demographic and health-related information sheet, the FRAIL, the TFI, the Short-Form Mini-Nutritional Assessment, the Pittsburgh Sleep Quality Index and the 5-level EuroQol 5 dimensions questionnaire. Descriptive statistics and binary logistic regression analysis were used to investigate the prevalence of frailty and its associated factors.

RESULTS

The prevalence of physical-originated and multidimensional frailty was 55.2% and 77.6%, respectively. The consistency between the two scales was low. Taking the combined use of the two instruments as the reference, the TFI and FRAIL could identify 89.99% and 64.02% of the participants with frailty. Polypharmacy, health-related quality of life and sleep quality were found to be associated with both physical-originated and multidimensional frailty. Nutritional status and level of physical activity were additionally identified as the independent associated factors of multidimensional frailty.

CONCLUSIONS

The prevalence of frailty among hospitalised older adults is high. There is low consistency between the FRAIL and TFI in detecting frailty. The TFI exhibited higher sensitivity in detecting individuals with frailty and its associated factors.

RELEVANCE TO CLINICAL PRACTICE

The findings of this study supported a single use of the TFI for the assessment of frailty in the hospital setting.

Frailty and testosterone level in older adults: a systematic review and meta-analysis

PURPOSE

We conducted a systematic review to evaluate the relationship between total testosterone (TT), free testosterone (fT), or sex hormone-binding globulin (SHBG) and frailty in older adults.

METHODS

We systematically searched nine databases (e.g. MEDLINE, Embase, ACP Journal Club, and the Cochrane library et al.) for papers on frailty and androgen levels published up to October 10, 2021. We calculated the odds ratio (OR) for the relationship between testosterone level and frailty by performing meta-analysis.

RESULTS

The search strategy yielded 311 hits in all databases combined. Eleven (seven cross-sectional studies and four cohort studies) met the inclusion criteria for meta-analysis. Among cross-sectional studies, meta-analysis revealed a significant association between TT and frailty in men (OR = 1.37 [95% CI 1.09, 1.72]) not women (OR = 1.06 [0.84, 1.34]). The fT was also significantly association with frailty in men (OR = 1.55 [1.06, 2.25] not women (OR = 1.35 [0.91, 2.01]). Cohort studies showed the same result in TT (OR = 1.09 [1.02, 1.18]) and fT (OR = 1.15 [1.02, 1.30]) for men. We did not find a significant association between SHBG and frailty.

CONCLUSION

The findings of this systematic review and meta-analysis suggest that TT and fT were significantly associated with frailty in older men but not women.

Nurse staffing levels within acute care: results of a national day of care survey

Introduction

The relationship between nurse staffing levels and patient safety is well recognised. Inadequate provision of nursing staff is associated with increased medical error, as well as higher morbidity and mortality. Defining what constitutes safe nurse staffing levels is complex. A range of guidance and planning tools are available to inform staffing decisions. The Society for Acute Medicine (SAM) recommend a ‘nurse-to-bed‘ratio of greater than 1:6. Whether this standard accurately reflects the pattern and intensity of work on the Acute Medical Unit (AMU) is unclear.

Methods

Nurse staffing levels in AMUs were explored using the Society for Acute Medicine Benchmarking Audit 2019 (SAMBA19). Data from 122 acute hospitals were analysed. Nurse-to-bed ratios were calculated and compared. Estimates of the total nursing time available within the acute care system were compared to estimates of the time required to perform nursing activities.

Results

The total number of AMU beds across all 122 units was 4997. The mean daytime nurse-to-bed ratio was 1:4.3 and the mean night time nurse-to-bed ratio was 1:5.2. The SAM standard of a nurse to bed ratio of greater than 1:6 was achieved in 99 units (81.9%) during daytime hours and achieved by 74 units (60.6%) at night.

The estimated time required to deliver direct clinical care was 35,698 h. A deficit of 4128 h (11.5% of time required) was estimated, representing the time difference between the total number of nursing hours available with current staffing and the estimated time needed for direct clinical care across all participating units.

Conclusion

This UK-wide study suggests a significant proportion of AMUs do not meet the recommenced SAM staffing levels, particularly at night. A difference was observed between the total number of nursing hours within the acute care system and the estimated time required to perform direct nursing activities. This suggests a workforce shortage of nurses within acute care at the system level.

Prevalence of Frailty and Associated Factors Among Hospitalized Older Adults: A Cross-Sectional Study

This study aimed to estimate the prevalence of frailty and associated factors among hospitalized older adults. It consisted of 184 hospitalized older adults recruited between October 2019 to January 2020. We used the FRAIL scale, Geriatric Depression Scale-15, and the Pittsburg Sleep Quality Index to collect data. Descriptive statistics, independent group t-test, Chi-square (χ²) tests, and logistic regression were applied to statistical analysis. It found that the prevalence of frailty among hospitalized older adults was 39.7%. Depression (Mild: OR = 5.312, 95% CI [2.384-11.833]; Moderate: OR = 6.630, 95% CI [2.077-21.160]) and low activities of daily living (ADL) (Slight dependence: OR = 5.667, 95% CI [1.308-24.557]; Moderate dependence: OR = 15.188, 95% CI [3.342-69.016]; Severe dependence: OR = 5.872, 95% CI [2.645-13.038]) were independent predictors of frailty. Future studies on the interventions to reduce depression, improve ADL and delay the progression of frailty are encouraged. We should focus more on ADL, emotional and psychological state of hospitalized older adults to prevent frailty.

The Impact of the Otago Exercise Program on Frailty and Empowerment in Older Nursing Home Residents: A Randomized Controlled Trial

Background

This study assessed the impact of Otago exercises on frailty and empowerment in older nursing home residents.

Methods

This randomized controlled trial included 72 individuals aged over 65 years residing in a single nursing home in Izmir, Turkey. The participants were randomly assigned to the Otago exercise group (OEG) or control group (CG). The OEG performed Otago exercises for 45 minutes, 3 days per week for 12 weeks plus a walking program the 3 other days of the week. In addition to Otago exercise training, the OEG received training based on empowerment consisting of 10 sessions lasting 30 minutes each. The CG received no intervention except routine care in the nursing home. The data collected were sociodemographic characteristics, Edmonton Frail Scale (EFS) scores, and Elderly Empowerment Scale (EES) scores before and 3 months after the intervention.

Results

We observed significant differences between the mean EFS (p=0.0001) and mean EES (p=0.0001) before and 3 months after the intervention in the OEG compared to the CG. We also observed a significant difference between the OEG and CG in mean EFS (p=0.018) and EES (p=0.0001) 3 months after the intervention.

Conclusion

The results of the present study demonstrated the positive impact of the Otago exercise program on preventing/delaying frailty and enhancing empowerment in older people.

Frailty Is Associated with Impaired Diabetic Foot Ulcer Healing and All-Cause Re-Hospitalization

BACKGROUND

Diabetic Foot Ulcers (DFUs) are a common and feared complication of type 1 and type 2 diabetes. People with DFUs often present a significant clinical complexity due to multimorbidity, frailty, polypharmacy, and disabling conditions. Frailty, defined using the accumulation of health deficits model, has shown to predict worsening health status, hospitalizations, and death in older persons. There are no clinical studies, to date, that have examined the prevalence and effect of frailty on DFUs outcomes. The aim of our study was to explore the impact of frailty on DFUs healing and re-hospitalization in a cohort of patients hospitalized with DFUs.

DESIGN

prospective cohort study.

SETTING AND PARTICIPANTS

The frailty status of 76 consecutive hospitalized patients with DFUs was assessed by using the Frailty Index (FI).

MEASUREMENTS

The primary outcome was the non-healing of the DFU. Secondary outcome was re-hospitalization events (for any cause) within 6 months from hospital discharge. Frailty was defined as FI>0.25.

RESULTS

Out of 76 patients (median age 65 years, range 31-84), 56 (74%) were frail. At six months, 81.5% of frail patients had non-healing of the DFU compared to 55% in non-frail patients (p=0.02). The rate of of re-hospitalization was also higher in frail compared to non-frail (90.3% vs 54%, respectively; p=0.01) patients. In multivariable analyses, frailty was significantly associated with a more than fivefold increased risk of DFU non-healing [odds ratio 5.54 (95% confidence interval 1.28-23.91), p=0.02]. Similarly, re-hospitalization was also significantly higher in frail patients compared to the non-frail ones.

CONCLUSIONS

In hospitalized patients with DFUs, frailty was highly prevalent. Frailty emerged as an independent risk factor for DFU non-healing and re-hospitalization events. Patients with DFUs require a comprehensive assessment of their frailty status which would enable personalization of their management and interventions.

Frailty in Indigenous Populations: A Scoping Review

Background: Indigenous populations experience high rates of age-related illness when compared to their non-Indigenous counterparts. Frailty is a challenging expression of aging and an important public health priority. The purpose of this review was to map what the existing literature reports around frailty in Indigenous populations and to highlight the current gaps in frailty research within the Indigenous landscape.

Method: Scoping review of English language original research articles focusing on frailty within Indigenous adult populations in settler colonial countries (Australia, Canada, New Zealand and USA). Ten electronic databases and eight relevant institutional websites were searched from inception to October 2020.

Results: Nine articles met our inclusion criteria, finding this population having a higher prevalence of frailty and frailty occurring at younger ages when compared to their non-Indigenous counterparts, but two did not use a formal frailty tool. Females presented with higher levels of frailty. No culturally specific frailty tool was identified, and the included articles did not assess strategies or interventions to manage or prevent frailty in Indigenous peoples.

Conclusions: There was little definitive evidence of the true frailty prevalence, approaches to frailty screening and of potential points of intervention to manage or prevent the onset of frailty. Improvements in the quality of evidence are urgently needed, along with further research to determine the factors contributing to higher rates of frailty within Indigenous populations. Incorporation of Indigenous views of frailty, and instruments and programs that are led and designed by Indigenous communities, are crucial to address this public health priority.

The Association Between Preoperative Frailty and Postoperative Delirium: A Systematic Review and Meta-analysis

PURPOSE

Identifying factors that place patients at high risk for developing postoperative delirium is an important first step to reduce incidence. Frailty is associated with poor postoperative outcomes. This meta-analysis aims to determine the association between preoperative frailty and postoperative delirium.

DESIGN

This is a systematic review and meta-analysis.

METHODS

We used PubMed, Scopus, Embase, CINAHL, Cochrane, and Web of Science as databases for the search up to April 23, 2020. We included cohort studies that assessed postoperative delirium as the outcome and described the prevalence of delirium among participants during the postoperative period. Odds ratio and 95% confidence interval were calculated to examine the association.

FINDINGS

Twenty cohort studies met our inclusion criteria, which included a total of 4,568 patients. We found that preoperative frailty was significantly associated with an increased risk of postoperative delirium (crude odds ratio: 3.28; 95% confidence interval: 2.51 to 4.28; I² = 46.7%) (adjusted odds ratio: 2.45; 95% confidence interval: 1.58 to 3.81; I² = 88.6%).

CONCLUSIONS

This meta-analysis showed that preoperative frailty is an independent risk factor for postoperative delirium. In patients undergoing cardiovascular surgery, there is a lower association between frailty and postoperative delirium. In patients with other types of surgery, preoperative frailty is closely related to postoperative delirium.

A Systematic Review and Meta-Analysis of Inpatient Mortality Associated With Nosocomial and Community COVID-19 Exposes the Vulnerability of Immunosuppressed Adults

Background

Little is known about the mortality of hospital-acquired (nosocomial) COVID-19 infection globally. We investigated the risk of mortality and critical care admission in hospitalised adults with nosocomial COVID-19, relative to adults requiring hospitalisation due to community-acquired infection.

Methods

We systematically reviewed the peer-reviewed and pre-print literature from 1/1/2020 to 9/2/2021 without language restriction for studies reporting outcomes of nosocomial and community-acquired COVID-19. We performed a random effects meta-analysis (MA) to estimate the 1) relative risk of death and 2) critical care admission, stratifying studies by patient cohort characteristics and nosocomial case definition.

Results

21 studies were included in the primary MA, describing 8,251 admissions across 8 countries during the first wave, comprising 1513 probable or definite nosocomial COVID-19, and 6738 community-acquired cases. Across all studies, the risk of mortality was 1.3 times greater in patients with nosocomial infection, compared to community-acquired (95% CI: 1.005 to 1.683). Rates of critical care admission were similar between groups (Relative Risk, RR=0.74, 95% CI: 0.50 to 1.08). Immunosuppressed patients diagnosed with nosocomial COVID-19 were twice as likely to die in hospital as those admitted with community-acquired infection (RR=2.14, 95% CI: 1.76 to 2.61).

Conclusions

Adults who acquire SARS-CoV-2 whilst already hospitalised are at greater risk of mortality compared to patients admitted following community-acquired infection; this finding is largely driven by a substantially increased risk of death in individuals with malignancy or who had undergone transplantation. These findings inform public health and infection control policy and argue for individualised clinical interventions to combat the threat of nosocomial COVID-19, particularly for immunosuppressed groups.

Systematic Review Registration

PROSPERO CRD42021249023.

Frailty and Adverse Outcomes Among Older Patients Undergoing Gastroenterological Surgery in Vietnam

Purpose

With the ageing population, more older adults undergo surgery, and frailty increases the risk of postoperative complications in older patients. This study aimed to determine the association between frailty and 30-day adverse outcomes in older patients undergoing gastroenterological surgery in Vietnam.

Patients and Methods

A prospective cohort study was conducted in the Gastroenterology Department of the University Medical Center in Ho Chi Minh City. Frailty was determined using Fried's criteria. Adverse outcomes within 30 days of gastroenterological surgery were recorded, including postoperative infections, acute respiratory failure, acute kidney injury, and death. Univariate and multivariate logistic analyses were performed to determine the association between frailty and 30-day postoperative adverse outcomes using Stata 14.0.

Results

Data of 302 elective surgical participants were collected (mean age: 69.8± 8.1 years, 53.3% female), and the prevalence of frailty was 18.5%. Frailty was an independent risk factor for 30-day adverse outcomes (odds ratio=6.56, 95% confidence interval, 2.77-15.53, p<0.001), which included postoperative infections, acute respiratory failure, acute kidney injury, and death. Frail participants had a significantly higher risk of postoperative infections (odds ratio=8.21, 95% confidence interval, 3.28-20.54, p<0.001), and exhaustion was strongly associated with postoperative adverse outcomes.

Conclusion

Frailty was a predictor of 30-day adverse outcomes in older patients undergoing gastroenterological surgery. Therefore, preoperative frailty should be screened in older patients, and frailty-associated risks should be considered during the decision-making process by physicians, patients, and their families.

Evaluating the impact of frailty on periprocedural adverse events and mortality among patients with GI bleeding

BACKGROUND AND AIMS

Frailty is a known predictor of mortality and adverse events in the inpatient setting; however, it has not been studied as a modality to assess risk among patients undergoing endoscopy for GI bleeding (GIB). We aimed to determine the association between frailty status and risk of adverse events in hospitalized patients with GIB who underwent endoscopy.

METHODS

We performed a cohort study using the 2016 and 2017 National Inpatient Sample database, using International Classification of Diseases diagnostic codes to identify adult patients with GIB who underwent endoscopic procedures within 2 days of admission and the Hospital Frailty Risk Score to classify patients as frail or nonfrail. Univariable and multivariable logistic regression models were constructed to assess the predictors of periprocedural adverse events, and marginal standardization analysis was performed to assess for possible interaction between age and frailty.

RESULTS

A total of 757,920 patients met inclusion criteria, of which 44.4% (336,895) were identified as frail and 55.6% (421,025) as nonfrail; 49.2% of frail patients had composite periprocedural adverse events compared with 25.5% of nonfrail patients (P < .001). Frail patients notably had more cardiovascular (32.1% vs 17.1%, P < .001), pulmonary (18.5% vs 4.3%, P < .001), GI (10.1% vs 6.1%, P < .001), and infectious (9.9% vs .7%, P < .001) adverse events compared with nonfrail patients. Frail patients also had higher all-cause inpatient mortality rates (4.8% vs .5%, P < .001). On multivariable analysis, positive frailty status was associated with a 2.13 times increased likelihood of having composite periprocedural adverse events.

CONCLUSIONS

In hospitalized patients undergoing endoscopy for GIB, frailty status is associated with increased periprocedural adverse events including all-cause mortality. The use of frailty assessments can thus further guide clinical decision-making when considering endoscopy and risk of adverse events in adult patients with GI hemorrhage.

Outcomes after hip fractures sustained in hospital: A propensity-score matched cohort study

AIMS

The aim of this study was to compare outcomes following hip fracture for patients who sustained their fracture whilst in hospital (inpatients) with those who sustained their fracture in the community (outpatients).

PATIENTS AND METHODS

Data on all hip fracture admissions aged 65 years or over between 1^st May 2007 and 31^st March 2018 was analysed from a prospectively collected hip fracture database. Patient demographics, co-morbidities, and discharge information were analysed. Outcome measures included mortality (inpatient, 30-day and one year), surgical site infection (SSI) rate and mean length of stay (LOS). Baseline characteristics were used to generate propensity-match scores for each patient, with inpatients matched to outpatients in a 1:1 ratio. Outcomes were compared after matching.

RESULTS

7,592 patients were included in the study. 338 were identified as having an inpatient hip fracture. There was a significantly greater level of comorbidity in the inpatient group at baseline. After propensity-score matching, there were 229 patients in the inpatient group and 222 in the outpatient group, with no significant difference in baseline co-morbidities. In this propensity score matched cohort, 30-day mortality was significantly higher in the inpatient group (16%) compared to the outpatient group (10%), P = 0.049. 1-year mortality was also significantly higher in the inpatient group (44%) compared to the outpatient group (34%), P = 0.03. There was no significant difference in inpatient mortality, mean LOS and SSI rates between the two groups.

CONCLUSION

Patients who suffer a hip fracture whilst in hospital have significantly poorer outcomes than those who suffer a hip fracture whilst an outpatient, even after adjusting for co-morbidities. Dedicated guidelines are needed for this particularly vulnerable group.

Association Between Geriatric Nutritional Risk Index and Frailty in Older Hospitalized Patients

Objective

Previous studies have explored the association between malnutrition and frailty, but no study has investigated whether the Geriatric Nutritional Risk Index (GNRI), a simple and objective nutritional risk screening tool, is associated with the frailty of older adults. The study aimed to examine the relationship between nutrition-related risk, as assessed by the GNRI, and frailty among older hospitalized patients.

Methods

A cross-sectional study was conducted in the West China Hospital of Sichuan University with 740 patients aged ≥70 years between March 2016 and Jan 2017. Nutritional and frailty status was evaluated with the GNRI and FRAIL scale, respectively. The adjusted and unadjusted ordinal logistic regression analyses were used to examine the relationship between nutritional risk and frailty. The ability of GNRI in detecting frailty was assessed by receiver operating characteristic (ROC) curve analysis.

Results

The prevalence of low, moderate, and severe nutritional risk among frail patients were 30.1%, 27.6%, and 12.5%, respectively. Ordinal logistic regression analysis showed that malnutrition assessed by the GNRI had a significant association with frailty after adjustment of age, sex, polypharmacy, comorbidity, vision impairment, hearing impairment, cognitive impairment, and depression. In the ROC analysis, the area under the curve for GNRI identifying frailty was 0.698 (95% CI: 0.66-0.74; P<0.001), and the optimal cut-point value was 97.16 (sensitivity: 64.3%; specificity: 66.9%).

Conclusion

Nutrition-related risk screened by the GNRI was independently associated with frailty. The GNRI could be used as a simple tool in detecting nutritional risk and frailty status of older patients.

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.

Prevalence of frailty and pain in hospitalised adult patients in an acute hospital: a protocol for a point prevalence observational study

INTRODUCTION

Frailty and pain are associated with adverse patient clinical outcomes and healthcare system costs. Frailty and pain can interact, such that symptoms of frailty can make pain assessment difficult and pain can exacerbate the progression of frailty. The prevalence of frailty and pain and their concurrence in hospital settings are not well understood, and patients with cognitive impairment are often excluded from pain prevalence studies due to difficulties assessing their pain. The aim of this study is to determine the prevalence of frailty and pain in adult inpatients, including those with cognitive impairment, in an acute care private metropolitan hospital in Western Australia.

METHODS AND ANALYSIS

A prospective, observational, single-day point prevalence, cross-sectional study of frailty and pain intensity of all inpatients (excluding day surgery and critical care units) will be undertaken. Frailty will be assessed using the modified Reported Edmonton Frail Scale. Current pain intensity will be assessed using the PainChek smart-device application enabling pain assessment in people unable to report pain due to cognitive impairment. Participants will also provide a numerical rating of the intensity of current pain and the worst pain experienced in the previous 24 hours. Demographic and clinical information will be collected from patient files. The overall response rate of the survey will be reported, as well as the percentage prevalence of frailty and of pain in the sample (separately for PainChek scores and numerical ratings). Additional statistical modelling will be conducted comparing frailty scores with pain scores, adjusting for covariates including age, gender, ward type and reason for admission.

ETHICS AND DISSEMINATION

Ethical approval has been granted by Ramsay Health Care Human Research Ethics Committee WA/SA (reference: 2038) and Edith Cowan University Human Research Ethics Committee (reference: 2020-02008-SAUNDERS). Findings will be widely disseminated through conference presentations, peer-reviewed publications and social media.

TRIAL REGISTRATION NUMBER

ACTRN12620000904976.

Frailty Phenotype and Cause-Specific Mortality in the United States

BACKGROUND

Frailty is a common condition among older adults increasing risk of adverse outcomes including mortality; however, little is known about the incidence or risk of specific causes of death among frail individuals.

METHODS

Data came from the Health and Retirement Study (HRS; 2004-2012), linked to underlying cause-of-death information from the National Death Index (NDI). Community-dwelling HRS participants aged 65 and older who completed a general health interview and physical measurements (n = 10,490) were included in analysis. Frailty was measured using phenotypic model criteria-exhaustion, low weight, low energy expenditure, slow gait, and weakness. Underlying causes of death were determined using International Classification of Diseases, Version 10 codes. We used Cox proportional hazards and competing risks regression models to calculate and compare incidence of cause-specific mortality by frailty status.

RESULTS

During follow-up, prefrail and frail older adults had significantly greater hazard of all-cause mortality compared to individuals without symptoms (adjusted hazard ratio [HR] prefrail: 1.85, 95% CI: 1.51, 2.25; HR frail: 2.75, 95% CI: 2.14, 3.53). Frailty was associated with 2.96 (95% CI: 2.17, 4.03), 2.82 (95% CI: 2.02, 3.94), 3.48 (95% CI: 2.17, 5.59), and 2.87 (95% CI: 1.47, 5.59) times greater hazard of death from heart disease, cancer, respiratory illness, and dementia, respectively.

CONCLUSIONS

Significantly greater risk of mortality from several different causes should be considered alongside the potential costs of screening and intervention for frailty in subspecialty and general geriatric clinical practice. Findings may help investigators estimate the potential impact of frailty reduction approaches on mortality.

Frailty and hospitalization-associated disability after pneumonia: A prospective cohort study

BACKGROUND

Pneumonia is a major cause of morbidity and mortality in older adults. The role of frailty assessment in older adults with pneumonia is not well defined. Our purpose of the study was to investigate 30-day clinical course and functional outcomes of pneumonia in older adults with different levels of frailty.

METHODS

A prospective cohort was conducted at a university hospital in Seoul, Korea with 176 patients who were 65 years or older and hospitalized with pneumonia. A 50-item deficit-accumulation frailty index (FI) (range: 0-1; robust < 0.15, pre-frail 0.15-0.24, mild-to-moderately frail 0.25-0.44, and severely frail ≥ 0.45) and the pneumonia severity CURB-65 score (range: 0-5) were measured. Primary outcome was death or functional decline, defined as worsening dependencies in 21 daily activities and physical tasks in 30 days. Secondary outcomes were intensive care unit admission, psychoactive drug use, nasogastric tube feeding, prolonged hospitalization (length of stay > 15 days), and discharge to a long-term care institution.

RESULTS

The population had a median age 79 (interquartile range, 75-84) years, 68 (38.6 %) female, and 45 (25.5 %) robust, 36 (47.4 %) pre-frail, 37 (21.0 %) mild-to-moderately frail, and 58 (33.0 %) severely frail patients. After adjusting for age, sex, and CURB-65, the risk of primary outcome for increasing frailty categories was 46.7 %, 61.1 %, 83.8 %, and 86.2 %, respectively (p = 0.014). The risk was higher in patients with frailty (FI ≥ 0.25) than without (FI < 0.25) among those with CURB-65 0-2 points (75 % vs. 52 %; p = 0.022) and among those with CURB-65 3-5 points (93 % vs. 65 %; p = 0.007). In addition, patients with greater frailty were more likely to require nasogastric tube feeding (robust vs. severe frailty: 13.9 % vs. 60.3 %) and prolonged hospitalization (18.2 % vs. 50.9 %) and discharge to a long-term care institution (4.4 % vs. 59.3 %) (p < 0.05 for all). Rates of intensive care unit admission and psychoactive drug use were similar.

CONCLUSIONS

Older adults with frailty experience high rates of death or functional decline in 30 days of pneumonia hospitalization, regardless of the pneumonia severity. These results underscore the importance of frailty assessment in the acute care setting.

Frailty and hospitalization-associated disability after pneumonia: A prospective cohort study

Background

Pneumonia is a major cause of morbidity and mortality in older adults. The role of frailty assessment in older adults with pneumonia is not well defined. Our purpose of the study was to investigate 30-day clinical course and functional outcomes of pneumonia in older adults with different levels of frailty.

Methods

A prospective cohort was conducted at a university hospital in Seoul, Korea with 176 patients who were 65 years or older and hospitalized with pneumonia. A 50-item deficit-accumulation frailty index (FI) (range: 0–1; robust < 0.15, pre-frail 0.15–0.24, mild-to-moderately frail 0.25–0.44, and severely frail ≥ 0.45) and the pneumonia severity CURB-65 score (range: 0–5) were measured. Primary outcome was death or functional decline, defined as worsening dependencies in 21 daily activities and physical tasks in 30 days. Secondary outcomes were intensive care unit admission, psychoactive drug use, nasogastric tube feeding, prolonged hospitalization (length of stay > 15 days), and discharge to a long-term care institution.

Results

The population had a median age 79 (interquartile range, 75–84) years, 68 (38.6 %) female, and 45 (25.5 %) robust, 36 (47.4 %) pre-frail, 37 (21.0 %) mild-to-moderately frail, and 58 (33.0 %) severely frail patients. After adjusting for age, sex, and CURB-65, the risk of primary outcome for increasing frailty categories was 46.7 %, 61.1 %, 83.8 %, and 86.2 %, respectively (p = 0.014). The risk was higher in patients with frailty (FI ≥ 0.25) than without (FI < 0.25) among those with CURB-65 0–2 points (75 % vs. 52 %; p = 0.022) and among those with CURB-65 3–5 points (93 % vs. 65 %; p = 0.007). In addition, patients with greater frailty were more likely to require nasogastric tube feeding (robust vs. severe frailty: 13.9 % vs. 60.3 %) and prolonged hospitalization (18.2 % vs. 50.9 %) and discharge to a long-term care institution (4.4 % vs. 59.3 %) (p < 0.05 for all). Rates of intensive care unit admission and psychoactive drug use were similar.

Conclusions

Older adults with frailty experience high rates of death or functional decline in 30 days of pneumonia hospitalization, regardless of the pneumonia severity. These results underscore the importance of frailty assessment in the acute care setting.

Clinical Frailty Scale and Biomarkers for Assessing Frailty in Elder Inpatients in China

OBJECTIVE

This study aimed to assess the feasibility of the Clinical Frailty Scale (CFS) and clinical biomarkers in assessing the frailty in elder inpatients in China.

DESIGN

The study was a cross-sectional study.

SETTING AND PARTICIPANTS

The study included 642 elder inpatients (295 females and 347 males) aged ≥65 years, from the Department of Geriatrics of Zhejiang Hospital between January 2018 and December 2019.

MEASUREMENTS

All participants underwent a comprehensive geriatric assessment and blood tests. Univariate and multivariate logistic regression was used to analyze the association between risk factors and frailty.

RESULTS

The average age of the participants was 82.72±8.06 years (range: 65-95 years) and the prevalence of frailty was 39.1% according to the CFS. Frail participants showed significantly lower short physical performance battery (SPPB), basic activities of daily living (ADL) and instrumental activities of daily living (IADL) scores (all p<0.001), and lower hemoglobin, total protein and albumin levels (all P<0.05) than nonfrail participants. Frail participants had higher CRP, D-dimer and fibrinogen levels than nonfrail participants (all p<0.05). Univariate logistic regression analysis showed a significant association between frailty and age, comorbidity, polypharmacy, fall history, SPPB, ADL, and IADL scores, D-dimer, fibrinogen, hemoglobin, total protein and albumin levels (all P<0.05). Multivariate logistic regression analysis indicated that age (odds ratio (OR), 95% confidence interval (CI)= 1.151(1.042-1.272), P=0.006), SPPB scores (OR, 95% CI=0.901(0.601-1.350), P<0.001), and D-dimer (OR, 95% CI=4.857(2.182-6.983), P<0.001), fibrinogen (OR, 95% CI=2.665(0.977-4.254), P<0.001), hemoglobin (OR, 95% CI=0.837(0.725-0.963), P= 0.044), and albumin (OR, 95% CI=0.860 (0.776-1.188), P<0.001) levels were independently associated with frailty in all participants.

CONCLUSION

Frailty in elder inpatients in China is characterized by older age, a lower SPPB scores, higher D-dimer and fibrinogen levels and lower hemoglobin and albumin levels. Functional decline and malnutrition may be the targets of frailty interventions.

Use of the Patient-Generated Subjective Global Assessment to Identify Pre-Frailty and Frailty in Hospitalized Older Adults

OBJECTIVES

The Scored Patient-Generated Subjective Global Assessment (PG-SGA) and Edmonton Frail Scale (EFS) are widely used in acute care settings to assess nutritional and frailty status, respectively. We aimed to determine whether the scored PG-SGA can identify pre-frailty and frailty status, to simultaneously evaluate malnutrition and frailty in clinical practice.

DESIGN

Cross-sectional study.

SETTINGS AND PARTICIPANTS

A convenience sample of 329 consecutive patients admitted to an acute medical unit in South Australia.

MEASUREMENTS

Nutritional and frailty status were ascertained with scored PG-SGA and EFS, respectively. Optimal cut-off scores to identify pre-frailty and frailty were determined by calculating the Scored PG-SGA's sensitivity, specificity, positive and negative predictive values, Youden Index (YI), Liu index, Receiver Operator Curves (ROC) and Area Under Curve (AUC). Nutritional status and patient characteristics were analysed according to frailty categories.

RESULTS

The optimal cut-off PG-SGA score as determined by the highest YI, to identify both pre-frailty and frailty was >3, with a sensitivity of 0.711 and specificity of 0.746. The AUC was 0.782 (95% CI 0.731-0.833). In this cohort, 64% of the patients were well-nourished, 26% were moderately malnourished and 10% were severely malnourished. Forty-three percent, 24% and 33% of the patients were classified as robust, pre-frail and frail, respectively. Bivariate analysis showed that those robust were significantly younger than those who were pre-frail (-2.8, 95% CI -5.5 to -0.1, p=0.036) or frail (-3.4, 95% CI -5.9 to -1.0, p=0.002). Robust patients had significantly lower Scored PG-SGA than those who were pre-frail (-2.5, 95%CI -3.8 to -1.1, p<0.001) or frail (-4.9, 95% CI -6.1 to -3.7, p<0.001).

CONCLUSION

The Scored PG-SGA is moderately sensitive in identifying pre-frailty/frailty in older hospitalized adults and can be useful in identifying both conditions concurrently.

The impact of interventions on management of frailty in hospitalized frail older adults: a systematic review and meta-analysis

BACKGROUND

One of the most challenging issues for the elderly population is the clinical state of frailty. Frailty is defined as a cumulative decline across psychological, physical, and social functioning. Hospitalization is one of the most stressful events for older people who are becoming frail. The aim of the present study was to determine the effectiveness of interventions focused on management of frailty in hospitalized frail older adults.

METHODS

A systematic review and meta-analysis of research was conducted using the Medline, Embase, Cochrane, ProQuest, CINAHL, SCOPUS and Web of Science electronic databases for papers published between 2000 and 2019. Randomized controlled studies were included that were aimed at the management of frailty in hospitalized older adults. The outcomes which were examined included frailty; physical, psychological, and social domains; length of stay in hospital; re-hospitalization; mortality; patient satisfaction; and the need for post discharge placement.

RESULTS

After screening 7976 records and 243 full-text articles, seven studies (3 interventions) were included, involving 1009 hospitalized older patients. The quality of these studies was fair to poor and the risk of publication bias in the studies was low. Meta-analysis of the studies showed statistically significant differences between the intervention and control groups for the management of frailty in hospitalized older adults (ES = 0.35; 95% CI: 0. 067-0.632; z = 2.43; P < 0.015). However, none of the included studies evaluated social status, only a few of the studies evaluated other secondary outcomes. The analysis also showed that a Comprehensive Geriatric Assessment unit intervention was effective in addressing physical and psychological frailty, re-hospitalization, mortality, and patient satisfaction.

CONCLUSIONS

Interventions for hospitalized frail older adults are effective in management of frailty. Multidimensional interventions conducted by a multidisciplinary specialist team in geriatric settings are likely to be effective in the care of hospitalized frail elderly. Due to the low number of RCTs carried out in a hospital setting and the low quality of existing studies, there is a need for new RCTs to be carried out to generate a protocol appropriate for frail older people.

Frailty Assessment in Clinical Practice: Opportunity in the Midst of a Pandemic

Emerging evidence from studies of older adults hospitalised with COVID-19 suggests that there is a high prevalence of frailty in this patient group. We reflect on the measurement of frailty in older patients hospitalized as an emergency and the translation of frailty from a research to a clinical concept. We consider whether, despite the contemporary challenges in the care of older adults as a result of COVID-19, there are opportunities for care quality improvement during a pandemic.

An interRAI-derived frailty index is associated with prior hospitalisations in older adults residing in retirement villages

OBJECTIVES

To develop and validate a frailty index (FI) from interRAI-Community Health Assessments (CHA) on older adults in retirement villages (RVs).

METHODS

This is a cross-sectional analysis of a current RV research study. A FI was generated using the cumulative deficit model. Health-care utilisation measures were acute, and all, hospitalisations 12 months before baseline assessment. Associations between FI and hospitalisations were explored using multivariable logistic regression to estimate odds ratio (OR).

RESULTS

Of 577 included residents, mean (SD) age was 81 (7) and 419 (73%) were female. Mean (SD) FI was 0.16 (0.09); 260 (45%) were mildly frail, and 108 (19%) moderate-severely frail. In multivariate-adjusted analysis, odds of acute hospitalisation for mild (OR = 3.3, P < .001) and moderate-severely frail (OR = 6.4, P < .001) were significantly higher than fit residents. Higher odds were also observed for all hospitalisations.

CONCLUSION

A considerable proportion of RV residents were moderately-severely frail. FI was associated with acute and all hospitalisations.

Advance care plans and hospitalized frail older adults: a systematic review

Introduction

Frail older people are known to have low rates of advance care planning (ACP). Many frail patients prefer less aggressive treatment, but these preferences are often not known or respected. Frail patients often have multiple hospital admissions, potentially providing opportunities for ACP.

Objective

To systematically review the literature concerning ACP with frail older people in the acute hospital, with particular reference to: (1) Does ACP improve outcomes? (2) What are the views of patients, relatives and healthcare professionals regarding ACP? (3) Does ACP currently occur? (4) What are the facilitators and barriers to ACP?

Design

Systematic literature review and narrative synthesis. Electronic search of MEDLINE, CINAHL, ASSIA, PsycINFO and Embase databases from January 1990 to May 2019 inclusive. Studies in the acute setting of populations with a mean age >75 years, not focused on a disease-specific terminal condition were included.

Results

16 133 articles were retrieved, 14 met inclusion criteria. No studies used an objective measure of frailty. One randomised controlled trial (RCT) found that ACP improves outcomes for older patients. Although 74%–84% of capacitous older inpatients are receptive to ACP, rates of ACP are 0%–5%; the reasons for this discrepancy have been little studied. The nature of ACP in clinical practice is unknown thus the extent to which it reflects the RCT intervention cannot be assessed. The outcomes that are important to patients are poorly understood and family and physician experiences have not been explored.

Conclusions

A better understanding of this area could help to improve end-of-life care for frail older people.

PROSPERO registration number

CRD42017080246.