Frailty indexes

Introduction: In operative patients, frailty results in increased rates of postoperative morbidity and mortality. The BGS guidelines for perioperative care stipulate that all patients over the age of 65 should have a clinical frailty score (CFS) documented within 72 hours of admission. One benefit of recognising frailty and increased risk of death is timely establishment of a ceiling of care (CoC) for patients undergoing emergency surgery, in line with the NICE guidelines for advanced care planning. In our orthogeriatric department preliminary data suggested that the CFS was almost never routinely calculated, and that clinicians were not always establishing ceilings of care for patients. Methods: Y/N data was recorded for CFS completion and CoC documentation, which included a pre-existing DNACPR and for full active treatment, pre- and post- intervention. Inclusion criteria were patients aged >65yrs on admission, presenting with a neck of femur fracture undergoing operative management. 2 plan-do-study-act (PDSA) cycles were completed, with the aim of improving completion rate of a CFS and establishment of CoC within 72 hours of admission. Intervention: Alteration of the clerking pro-forma to make CFS and consideration of CoC mandatory pre-op assessments, alongside communication to current and incoming resident doctors on the orthogeriatric ward. Results were shared at a clinical governance meeting, initiating discussion between anaesthetic, surgical, and geriatric departments regarding advanced care planning best practice. Results: Following intervention, completion of CFS for patients within 72hrs increased from 4.5% to 41% and documentation of a CoC within 72hrs increased from 68% to 82%. Conclusions: This QIP improved both completion of CFS and consideration of CoC for elderly patients with hip fractures. In discussion at the clinical governance meeting it was agreed that careful consideration and documentation of CoC is always warranted and is an important component of care for this patient cohort.

Objectives: Older adults hospitalized with a hip fracture are at risk for adverse health outcomes depending on their level of frailty. This study examined how frailty levels prior to admission impacted length of stay (LOS), requirement for alternative level of care (ALC), returning home post-discharge, and mortality.

Methods: A random sample was generated from all hip fracture patients aged 65 and older admitted to a Level One Trauma Centre in New Brunswick, Canada from 2015-2019. This sample had their frailty level determined retrospectively using the Pictorial Fit-Frail Scale and the patients’ hospital electronic health record.

Results: Our study included 189 patients (mean age: 83.2 ± 8.2, 73.0% female), representing 91 not frail to mildly frail (48.2%; NF-MF), 32 moderately frail (16.9%; ModF), and 66 severely frail (34.9%; SF) patients. The ModF patients had a longer LOS (median: 20.0 days, IQR=22.5) compared to NF-MF patients (median: 11.0 days, IQR=10.0, p=0.039, Kruskal-Wallis test) and SF patients (median: 8 days, IQR=5.5, p<0.0001, Kruskal-Wallis test). More ModF patients (56.3%) required an ALC stay in acute care compared to NF-MF (30.8%) and SF (28.8%) patients (p=0.016, Chi-square test). More SF patients (28.8%) died in hospital or within six months post-discharge compared to NF-MF (8.8%) patients (p=0.005, Chi-square test). Logistic regression revealed that both NF-MF (OR=8.11, 95% CI: [3.12-21.06], p<0.001) and ModF (OR=5.18, 95% CI: [0.85-0.95], p=0.007) patients had greater odds of returning home compared to SF patients when accounting for sex, age, and time to surgery.

Conclusions: A patient’s level of frailty prior to hospital admission impacts various health outcomes following a hip fracture and may provide helpful information for guiding treatment as well as discussions about health care.  

Introduction:

Clinical frailty scale (CFS) is used to generate a score ranging from 1 (very fit) to 9 (terminally ill) for people aged ≥65 years. A CFS of ≥7 correlates with a one-year mortality rate of ~50%, making it useful for identifying individuals potentially approaching last year of life. NICE recommend this patient group are offered Advance care planning (ACP). ACP is paramount to ensuring individuals receive high-quality, personalised end of life care. We aimed to investigate CFS documentation and frequency of ACP discussions following educational interventions.  

Methods:

We performed a retrospective analysis of all inpatients admitted to an Elderly Medicine department on a given day. Data for demographics, documented CFS score, and ACP discussions was collected. CFS scores were recalculated to assess accuracy. Following formal education sessions on CFS documentation and ACP delivered to the MDT, data was recollected. Subsequently, CFS scores were recorded within electronic “flowsheets” to ensure scores could automatically populate future clinical notes and be extracted for research purposes. 

Results: 

The initial sample included 61 patients with 52 in the repeat sample. 36% of patients had CFS recorded in the initial sample compared to 77% in the repeat. In the initial sample, there was an 18.1% difference in documented and recalculated CFS for patients with a CFS≥7 compared to 7.7% in the repeat, showing improved identification of advanced frailty. In the initial cohort, 18% had pre-existing ACP and 16.4% had inpatient ACP discussion, compared to 21.2% in the repeat with pre-existing ACP and 15.4% having inpatient ACP discussion; demonstrating minimal difference. 

Conclusions: 

CFS documentation improved highlighting effectiveness of education involving the whole MDT to better identify frailty within the inpatient setting. Despite this, ACP discussion rates remained low. Potential barriers include time-pressure and lack of confidence approaching ACP demonstrating a need for further awareness and training.  

Background

The Comprehensive Geriatric Assessment (CGA) is a multidimensional interdisciplinary tool, designed to promote holistic care of elderly patients and provide a framework for intervention. There is evidence that the CGA reduces mortality and slows progression of frailty. Performing such interventions in the acute setting can be complex and time-consuming.

Introduction

The Older Person’s Assessment Unit (OPAU) at Weston General Hospital allows early identification of frailty and prompt intervention. We aimed to promote elements of the CGA by providing a tool for utilisation throughout the patient’s admission to coordinate patient care.

Methods

This was a prospective pre-post intervention study on OPAU. We reviewed medical records in a 5-day period analysing documentation of elements of the CGA. The primary intervention was introduction of a ward-round proforma prompting delirium screening. Following analysis and re-evaluation, a an updated proforma with an additional bone-health prompt was circulated. The completion of proformas was re-assessed.

Results

Baseline data of 20 patients showed that common presenting complaints were falls and confusion. Only 14% of those who presented with a fall had a documented bone-health screen. 0% of patients with confusion had a delirium screen. After cycle 1, 0% had bone-health screening and 20% had delirium screening. Following cycle 2, 89% of patients who had a fall had completed bone-health screening.

Conclusion

Implementation of a CGA-orientated ward-round proforma encourages consistent documentation. It demonstrated successful increased uptake of delirium and bone-health screening. The future aim is to introduce a full CGA proforma that encourages opportunistic assessment by all members of the multi-disciplinary team.

Introduction

Older people living with frailty are core users of health and social care. Services attuned to the needs of people with frailty afford better outcomes, help avoid harm and improve the experience for people and those who care for them. Such services can also help with flow and capacity. The Glasgow Royal Infirmary (GRI) Team aimed to advance services in order to enhance the quality and provision of care for older people with frailty.

Methods

As part of the Health Improvement Scotland Focus on Frailty Programme, the GRI Team developed processes for early identification of people living with frailty, using an electronic Frailty Assessment Tool. Processes were designed to streamline patients with frailty to specialist areas of care in order to initiate early Comprehensive Geriatric Assessment (CGA). A Frailty Assessment Proforma was created to swiftly identify the priorities, concerns and goals of patients and carers and to gather key collateral information promptly. Daily CGA Huddles were commenced which include participants from various different health and social care services. Work is now being done towards the development of a dedicated Frailty Assessment Area and a trial of Rapid Access appointments at the Assessment and Rehabilitation Centres is being undertaken.

Results

There has been an improvement in frailty identification. 79% patients over the age of 75 years, who are admitted through the Acute Medical Receiving Unit, are being screened for frailty. There has been improvement noted in terms of access and time to a specialty bed. Further, there has been a reduction in length of stay for people with frailty, coupled with a reduction in readmissions at 7 and 30 days.

Conclusion

Frailty attuned acute services help patients receive timely, specialist care. They help reduce time spent in hospital and readmissions which, in turn, can contribute to improved flow and capacity.

Following COVID and an aging population waiting lists in Swansea Bay for elective procedures along with the rest of the UK had reached an all time high. Many patients have become frailer over time and may no longer be suitable or keen for surgery. There was not an efficient mechanism in place for screening these patients and many were being cancelled on the day or having pre-op assessments close to the time of surgery and found to be unsuitable. As part screening our elective surgical waiting lists for frailty we used a number of mechanisms including a electronically screening questionnaire. This was sent to 78 patients highlighted through power BI as meeting frailty criteria and on surgical waiting lists. The questionnaire consisted of a ‘self CFS’ reworded alongside K Rockwood and questions from the CRANE questionnaire. The patients were sent a link with a brief outline of the purpose of the questionnaire and the potential need to be called to clinic if they had any frailty needs. There was a contact number for a admin assistant if there were queries. If they couldn’t access the technology they could also contact them complete via telephone. Over 50% of patients completed the questionnaire online. Interestingly the majority of patients completing the questionnaire had a clinical frailty score over 4 (calculated via clinicians). A clinician also calculated a frailty score for the patients completing the questionnaire which showed good concordance between patients ‘self score’ and a clinicians score. This work showed that our frailer population are able to use technology to good effect and pending more research there may be a role for patients to ‘self score’ themselves in a clinical frailty score. This is invaluable in cutting down resources needed for screening for frailty in many areas

Introduction:

Incident frailty is common among older adults with diabetes mellitus. We have previously demonstrated that elevated serum levels of the soluble receptor for advanced glycation-end products (sRAGE) predict mortality in frail older adults. However, the evidence that sRAGE is associated with higher mortality in older adults with diabetes mellitus is rather inconsistent. Therefore, the aim of this study was to investigate whether frailty status influences the relationship between sRAGE and mortality in older adults with this diabetes mellitus.

Methods:

Three hundred and ninety-one participants with diabetes mellitus (median age, 76 years) from four European cohorts, who enrolled in the FRAILOMIC project were analysed. Frailty was evaluated at baseline using Fried’s frailty phenotype. Serum sRAGE was quantified by ELISA. Participants were stratified by frailty status (n = 280 non-frail and 111 frail). Multivariate Cox proportional hazards regression and Kaplan-Meier survival analysis were used to assess the relationship between sRAGE and mortality.

Results:

During 6 years of follow-up, 98 participants died (46 non-frail and 52 frail). Non-survivors had significantly higher baseline levels of sRAGE than survivors (median [IQR]: 1,392 [962–2,043] pg/mL vs. 1,212 [963–1,514], P = 0.008). High serum sRAGE (>1,617 pg/mL) was associated with increased mortality even after adjustment for relevant confounders (HR 2.06, 95% CI: 1.36–3.11, p < 0.001), and there was an interaction between sRAGE and frailty (P = 0.006). Furthermore, the association between sRAGE and mortality was stronger in the frail group compared to the non-frail group ((HR 2.52, 95% CI: 1.30–4.90, P = 0.006) vs. (HR 1.71, 95% CI: 0.91–3.23, P = 0.099, respectively)).

Conclusions:

Frailty status influences the relationship between sRAGE and mortality in older adults with diabetes mellitus. This has significant clinical potential in the risk stratification of diabetic patients.

Introduction:  Preoperative frailty is a key determinant of post-surgical outcomes and often co-exists with sarcopenia and malnutrition. Older patients account for a significant proportion of patients undergoing surgery for colorectal cancer and are therefore more likely to be affected by these risk factors.      

Methods:  Patients aged 65 and over undergoing planned surgery for colorectal cancer were recruited across five sites. Participants were screened preoperatively using the Clinical Frailty Scale (CFS) and Groningen Frailty Indicator (GFI). Nutritional status was assessed using the short form mini nutritional assessment (MNA-SF) and participant collection of spot urine samples to objectively measure habitual dietary intake. Sarcopenia was assessed through grip strength, gait speed and psoas muscle measurement using preoperative CT imaging. The non-radiological screening measures were repeated eight-weeks postoperatively, with additional urine samples collected in the first and fourth weeks.      

Results:  Forty-three participants (mean age 76 years, 60 % male) were recruited, of which 32% were frail. Using the mini-nutritional assessment 42 % of participants were identified as at risk of malnutrition and 9 % as malnourished. Urine assessment of habitual dietary intake is ongoing. There was a high prevalence of sarcopenia - 67 % determined by hand grip strength and 42% by CT analysis. Mean length of stay following surgery was 6.9 days. 28 % of participants were unable to complete the in-person post-operative follow up due to ill health, poor appetite and exhaustion.      

Conclusions:  This ongoing study has demonstrated the feasibility of incorporating frailty, nutritional status and sarcopenia screening alongside routine clinical care, in older adults undergoing surgery. However, retaining participants in observational studies during postoperative periods of convalescence, or whilst undergoing adjuvant treatment, is challenging. This study has also highlighted the potential of home urine sampling as a viable method of dietary assessment within community settings to aid malnutrition screening.     

INTRODUCTION: Frailty is common in hospitalised older patients and hospitalisation can lead to negative outcomes. Our study aimed to provide insights into current decision-making processes on treatment, care and discharge by clinical teams. 

METHODS: We conducted a prospective cohort study in frail older patients ≥ 65 years old admitted to acute medical and surgical wards. Clinical Frailty Scale ≥ 5 was used to identify frail patients and process mapping was undertaken to identify common themes, trajectories and potentially modifiable factors. We followed patient journeys from admission to discharge and examined factors contributing to longer hospitalisation. We documented existing processes, environmental, system and clinical factors influencing patient care. Comprehensive geriatric assessments identified underlying geriatric syndromes and where gaps in management were identified, we recommended frailty interventions. 

RESULTS: Fifteen patients provided informed consent, of whom 73% were female and average age 80 years, ranging 69-95 years. 67% were frail (CFS 5-6) and 33% were severely frail (CFS 7-9). Most patients were sarcopenic with a SARC-F score of ≥4 and had functional and gait impairment. 60% were underweight (BMI <22). Process mapping revealed gaps in frailty-focused care and included delayed transfer to acute wards, delayed investigations, and multiple unidentified geriatric syndromes which were prevalent in this cohort.Patients fell into three broad groups, short (1-6 days), intermediate (7-14 days), or long (>14 days) length of stay and delays in discharge-planning were common, mean of 4.17 days, as were delays in identification of a caregiver. Recommendations for community support services were provided to >50% patients. 

CONCLUSION: Our study shows that mapping the frail patient's journey can identify gaps in existing processes and opportunities for improvement and collaboration. Integrating geriatric care into general wards could improve patient outcomes. We aim to use this work to guide frailty-attuned care for hospitalised older patients.

Introduction

The frailty index (FI) is a frailty assessment tool calculated as the proportion of the number of deficits, or “things that individuals have wrong with them”, to the total number of variables in the index. Routine health and administrative databases are valuable sources of deficits to automatically calculate FIs. There is large heterogeneity in the deficits used in FIs. This sub-analysis of a scoping review on routine data-based FIs aimed to describe and map the deficits used in multi-dimensional FIs.

Methods

Seven databases were searched to find literature published between 2013 and 2023. The main inclusion criterion was multi-dimensional FIs constructed from routinely collected data. Multi-dimensional FIs should have deficits in at least two of the following categories: “symptoms/signs”, “laboratory values”, “diseases”, “disabilities”, and “others”.

Results

Of the 7,526 publications screened, 61 distinct FIs were identified from 60 included studies. Most FIs were developed in hospital settings (n=19). The most dominant data source of deficits to calculate the FIs was hospital records (n=23). The median number of deficits used in the FIs was 36 (range = 5–72). We identified 611 unique deficits that comprised the FIs. Most deficits were either “diseases” (34.4%; n=205) or “symptoms/signs” (32.1%; n=196), followed by “disabilities” (17.0%; n=101), “others” (10.1%; n=60), and “laboratory values” (8.3%; n=49). Forty-seven deficits were present in ≥20% of the FIs (≥12 FIs). The most common “disease” was diabetes, “symptom/sign” was depression, “disability” was hearing loss, and “laboratory value” was anaemia & haematinic deficiency.

Conclusion

These findings highlight the reactive approach to frailty assessment, as most of these FIs were calculated from hospital data and used symptoms/signs and diseases as deficits. Given the heterogenous manifestations and long-term impacts of frailty, using a more proactive approach that leverages non-clinical routine data is warranted to prevent frailty development and progression.