Ethnic differences in the prevalence of frailty in the United Kingdom assessed using the electronic Frailty Index

Aging and putative frailty biomarkers are altered by spaceflight

Human space exploration poses inherent risks to astronauts' health, leading to molecular changes that can significantly impact their well-being. These alterations encompass genomic instability, mitochondrial dysfunction, increased inflammation, homeostatic dysregulation, and various epigenomic changes. Remarkably, these changes bear similarities to those observed during the aging process on Earth. However, our understanding of the connection between these molecular shifts and disease development in space remains limited. Frailty syndrome, a clinical syndrome associated with biological aging, has not been comprehensively investigated during spaceflight. To bridge this knowledge gap, we leveraged murine data obtained from NASA's GeneLab, along with astronaut data gathered from the JAXA and Inspiration4 missions. Our objective was to assess the presence of biological markers and pathways related to frailty, aging, and sarcopenia within the spaceflight context. Through our analysis, we identified notable changes in gene expression patterns that may be indicative of the development of a frailty-like condition during space missions. These findings suggest that the parallels between spaceflight and the aging process may extend to encompass frailty as well. Consequently, further investigations exploring the utility of a frailty index in monitoring astronaut health appear to be warranted.

'Hearing silences': Exploring culturally safe transitional care: A qualitative study among Turkish-speaking migrant frail older adults

AIMS

This study aimed to investigate the experiences and transitional care needs of Turkish frail older adults living in the UK and determine how this information can be utilized to improve the provision of culturally sensitive care during the transitional period.

DESIGN

Qualitative descriptive research with semi-structured individual interviews.

METHODS

"The 'Silences' Framework guided the research design, from conceptualizing the research question to structuring the report of final outputs. For this study, semi-structured, in-depth interviews were conducted with sixteen older adults living with frailty and five family caregivers between January and May of 2023 in the United Kingdom.

RESULTS

Major themes that were identified included: (i) information and communication, (ii) care and support, (iii) the role of culture and (iv) trust and satisfaction. Further analysis, through discussion and immersion in the data, revealed that care transition periods were presented alongside three phases of transitional care: pre-transition (during hospitalization), early-transition (the period between discharge and the 7th day after discharge) and late transition (the period between the 8th day and 12th month after discharge).

CONCLUSIONS

Our study revealed that the communication and informational needs of frail older individuals change during the transition period. While Turkish older adults and family caregivers expressed satisfaction with healthcare services in the UK, many struggled due to a lack of knowledge on how to access them.

IMPACT

The support of family caregivers is a crucial component in facilitating transitional care for frail older patients, as they help in accessing healthcare services and using technological devices or platforms. It should be noted that family caregivers often hold the same level of authority as their elderly Turkish counterparts.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

The prevalence of frailty and its relationship with sociodemographic factors, regional healthcare disparities, and healthcare utilization in the aging population across India

Objective

To estimate frailty prevalence and its relationship with the socio-economic and regional factors and health care outcomes.

Methods

In this study, participants from the harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) were included. The frailty index (FI) was calculated using a 32-variable deficit model, with a value of ≥ 25% considered as frail. Data on demographic (including caste and religion) and socioeconomic profiles and health care utilization were obtained. The state-wise health index maintained by the government based on various health-related parameters was used to group the participants' residential states into high-, intermediate-, and low-performing states. Multivariable and zero-inflated negative binomial regression was used to assess the relationship of frailty index with sociodemographic characteristics, health index, and health care expenditure or hospitalization.

Results

Among the 3953 eligible participants, the prevalence of frailty was 42.34% (men = 34.99% and women = 49.35%). Compared to high-performing states, intermediate- and low-performing states had a higher proportion of frail individuals (49.7% vs. 46.8% vs. 34.5%, P < 0.001). In the adjusted analysis, frailty was positively associated with age, female sex, rural locality, lower education level, and caste (scheduled caste and other backward classes). After adjusting for the socio-economic profile, FI was inversely associated with the composite health index of a state (P < 0.001). FI was also significantly correlated with total 1-year health care expenditure and hospitalization (P < 0.001 and 0.020, respectively).

Conclusion

There is a high prevalence of frailty among older Indian adults that is associated with sociodemographic factors and regional health care performance. Furthermore, frailty is associated with increased health care utilization and expenditure.

'Frailty as an adjective rather than a diagnosis'-identification of frailty in primary care: a qualitative interview study

INTRODUCTION

In 2017, NHS England introduced proactive identification of frailty into the General Practitioners (GP) contract. There is currently little information as to how this policy has been operationalised by front-line clinicians, their working understanding of frailty and impact of recognition on patient care. We aimed to explore the conceptualisation and identification of frailty by multidisciplinary primary care clinicians in England.

METHODS

Qualitative semi-structured interviews were conducted with primary care staff across England including GPs, physician associates, nurse practitioners, paramedics and pharmacists. Thematic analysis was facilitated through NVivo (Version 12).

RESULTS

Totally, 31 clinicians participated. Frailty was seen as difficult to define, with uncertainty about its value as a medical diagnosis. Clinicians conceptualised frailty differently, dependant on job-role, experience and training. Identification of frailty was most commonly informal and opportunistic, through pattern recognition of a frailty phenotype. Some practices had embedded population screening and structured reviews. Visual assessment and continuity of care were important factors in recognition. Most clinicians were familiar with the electronic frailty index, but described poor accuracy and uncertainty as to how to interpret and use this tool. There were different perspectives amongst professional groups as to whether frailty should be more routinely identified, with concerns of capacity and feasibility in the current climate of primary care workload.

CONCLUSIONS

Concepts of frailty in primary care differ. Identification is predominantly ad hoc and opportunistic. A more cohesive approach to frailty, relevant to primary care, together with better diagnostic tools and resource allocation, may encourage wider recognition.

Frailty transitions and prevalence in an ageing population: longitudinal analysis of primary care data from an open cohort of adults aged 50 and over in England, 2006-2017

INTRODUCTION

frailty is common in older adults and is associated with increased health and social care use. Longitudinal information is needed on population-level incidence, prevalence and frailty progression to plan services to meet future population needs.

METHODS

retrospective open cohort study using electronic health records of adults aged ≥50 from primary care in England, 2006-2017. Frailty was calculated annually using the electronic Frailty Index (eFI). Multistate models estimated transition rates between each frailty category, adjusting for sociodemographic characteristics. Prevalence overall for each eFI category (fit, mild, moderate and severe) was calculated.

RESULTS

the cohort included 2,171,497 patients and 15,514,734 person-years. Frailty prevalence increased from 26.5 (2006) to 38.9% (2017). The average age of frailty onset was 69; however, 10.8% of people aged 50-64 were already frail in 2006. Estimated transitions from fit to any level of frailty were 48/1,000 person-years aged 50-64, 130/1,000 person-years aged 65-74, 214/1,000 person-years aged 75-84 and 380/1,000 person-years aged ≥ 85. Transitions were independently associated with older age, higher deprivation, female sex, Asian ethnicity and urban dwelling. Mean time spent in each frailty category decreased with age, with the longest period spent in severe frailty at all ages.

CONCLUSIONS

frailty is prevalent in adults aged ≥50 and time spent in successive frailty states is longer as frailty progresses, resulting in extended healthcare burden. Larger population numbers and fewer transitions in adults aged 50-64 present an opportunity for earlier identification and intervention. A large increase in frailty over 12 years highlights the urgency of informed service planning in ageing populations.

Integrating the clinical frailty scale with emergency department triage systems for elder patients: A prospective study

BACKGROUND

This prospective study investigated whether integrating the Clinical Frailty Scale (CFS) with a triage system would improve triage for older adult emergency department (ED) patients.

METHODS

We enrolled ED patients aged 65 years or older at 5 study sites in Taiwan between December 2020 and April 2021. All eligible patients were assigned a triage level by using the Taiwan Triage and Acuity Scale (TTAS) in accordance with usual practice. A CFS score was collected from them. The primary outcome was critical events, defined as ICU admission or in-hospital mortality. The secondary outcomes were ED medical expenditures, number of orders in the ED, and length of hospital stay (LOS). We applied a reclassification concept and integrated the CFS and TTAS to create the Triage Frailty Acuity Scale (TFAS). We compared the outcomes achieved between the TTAS and TFAS.

RESULTS

Of 1023 screened ED patients, 890 were enrolled. The majority were assigned to TTAS level 3 (73.26%) and had CFS scores of 4 to 9 (55.96%). The primary outcomes were better predicted by the TFAS than the TTAS (area under the curve [AUC] 0.82 vs. 064). Using multivariable approach, TTAS level 1 (odds ratio [OR], 4.8; 95% confidence interval [CI], 1.7-13.4) and CFS score (OR, 5.8; 95% CI, 1.9-17.2) were significantly associated with the primary outcomes. For older adults at the highest triage level, the TFAS was not associated with an increase in the primary outcomes compared with the TTAS; however, the TFAS was associated with a significant decrease in the number of older ED patients assigned to triage levels 3 to 5. In addition, TFAS had a longer average LOS but did not have a higher average number of orders or ED medical expenditures compared to TTAS.

CONCLUSIONS

The TFAS identified more older ED patients who had been triaged as less emergent but proceeded to need ICU admission or in-hospital death. Incorporating the CFS into triage may reduce the under-triage of older adults in the ED.

The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records

Purpose

Frailty is a prevalent condition in older adults. Identification of frailty using an electronic Frailty Index (eFI) has been successfully implemented across general practices in the United Kingdom. However, in Australia, the eFI remains understudied. Therefore, we aimed to (i) examine the feasibility of deriving an eFI from Australian general practice records and (ii) describe the prevalence of frailty as measured by the eFI and the prevalence with socioeconomic status and geographic remoteness.

Participants and Methods

This retrospective analysis included patients (≥70 years) attending any one of >700 general practices utilizing the Australian MedicineInsight data platform, 2017–2018. A 36-item eFI was derived using standard methodology, with frailty classified as mild (scores 0.13–0.24); moderate (0.25–0.36) or severe (≥0.37). Socioeconomic status (Socio-Economic Indexes for Areas (SEIFA) index)) and geographic remoteness (Australian Statistical Geography Standard (ASGC) remoteness areas) were also examined.

Results

In total, 79,251 patients (56% female) were included, mean age 80.0 years (SD 6.5); 37.4% (95% CI 37.0–37.7) were mildly frail, 16.7% (95% CI 16.4–16.9) moderately frail, 4.8% (95% CI 4.7–5.0) severely frail. Median eFI score was 0.14 (IQR 0.08 to 0.22); maximum eFI score was 0.69. Across all age groups, moderate and severe frailty was significantly more prevalent in females (P < 0.001). Frailty severity increased with increasing age (P < 0.001) and was strongly associated with socioeconomic disadvantage (P < 0.001) but not with geographic remoteness.

Conclusion

Frailty was identifiable from routinely collected general practice data. Frailty was more prevalent in socioeconomically disadvantaged groups, women and older patients and existed in all levels of remoteness. Routine implementation of an eFI could inform interventions to prevent or reduce frailty in all older adults, regardless of location.

Identifying Frail Patients by Using Electronic Health Records in Primary Care: Current Status and Future Directions

With the rapidly aging population, frailty, characterized by an increased risk of adverse outcomes, has become a major public health problem globally. Several frailty guidelines or consensuses recommend screening for frailty, especially in primary care settings. However, most of the frailty assessment tools are based on questionnaires or physical examinations, adding to the clinical workload, which is the major obstacle to converting frailty research into clinical practice. Medical data naturally generated by routine clinical work containing frailty indicators are stored in electronic health records (EHRs) (also called electronic health record (EHR) data), which provide resources and possibilities for frailty assessment. We reviewed several frailty assessment tools based on primary care EHRs and summarized the features and novel usage of these tools, as well as challenges and trends. Further research is needed to develop and validate frailty assessment tools based on EHRs in primary care in other parts of the world.

Comparison of the clinical frailty score (CFS) to the National Emergency Laparotomy Audit (NELA) risk calculator in all patients undergoing emergency laparotomy

AIM

There is evolving evidence that preoperative frailty predicts outcomes of older adults undergoing emergency laparotomy (EmLap). We assessed frailty scoring in an emergency surgical population that included patients of all ages and then compared this to an established perioperative prognostic score.

METHOD

Data from the prospective Emergency Laparoscopic and Laparotomy Scottish Audit (ELLSA; November 2017-October 2018) was used. All adults over 18 were included. Frailty was measured using 7-point clinical frailty score (CFS).

OUTCOME MEASURES

30-day mortality, hospital length of stay (LOS), 30-day readmission. Areas under the receiver-operating characteristic (ROC) curves were calculated for CFS (1-7) and compared to the National Emergency Laparotomy Audit (NELA) score with Forest plots used to compare 30-day mortality across CFS and NELA categories.

RESULTS

A total of 2246 patients (median age 65 years [IQR 51-75]; female 51%) underwent EmLap (60% for colorectal pathology). A total of 10.6% were frail preoperatively (≥CFS 5). As CFS increased so did 30-day mortality (2.1% CFS1 to 25.3% CFS6 and 7; ꭓ² 78.2, p < 0.001) and median LOS (10 days CFS1 to 20 days CFS6 and 7; p < 0.001). Readmission rates did not differ significantly across CFS. ROC (95% CI) for mortality was 0.71 (0.65-0.77) for CFS and 0.84 (0.78-0.89) for NELA. Addition of CFS to NELA did not increase ROC value.

CONCLUSION

This study supports the prognostic role of frailty in the emergency surgical setting, finding increasing frailty to be associated with increased mortality and longer LOS in adults of all ages. Although NELA performed better, CFS remained predictive and has the advantage of being calculated preoperatively to aid decision-making and treatment planning.

Correlations, agreement and utility of frailty instruments in prevalent haemodialysis patients: baseline cohort data from the FITNESS study

Background

Frailty is associated with poor outcomes for haemodialysis patients, but its prevalence is uncertain due to heterogeneous definitions. The aim of this study was to compare and contrast prevalence and features of commonly used frailty instruments in a British haemodialysis cohort.

Methods

The FITNESS (Frailty Intervention Trial iN End-Stage patientS on haemodialysis) study recruited adults aged ≥18 years after informed consent, with ≥3 months haemodialysis exposure and no hospital admission within 4 weeks unless for dialysis access. Study participants were clinically phenotyped with frailty instruments including the Frailty Index (FI), Frailty Phenotype (FP), Edmonton Frailty Scale (EFS) and Clinical Frailty Scale (CFS), alongside comprehensive baseline data collection of biochemical, clinical and social characteristics.

Results

Between 12 January 2018 and 18 April 2019, 485 haemodialysis patients were recruited. Baseline demographics were median age 63 years, male sex 58.6% and non-White ethnicity 42.1%. Prevalence of frailty was high; 41.9% of participants were frail by FP, 63.3% by FI, 50.2% by EFS and 53.8% by CFS. Female gender was associated with increased frailty, with no independent association observed with age or ethnicity. While correlation between frailty instruments was strong, intraclass correlation coefficient for frailty agreement was 0.628 (95% confidence interval 0.585-0.669) and only weak agreement between instrument pairs.

Conclusion

Frailty is highly prevalent among haemodialysis patients regardless of criteria used. However, our data suggest caution when interpreting heterogenous definitions of frailty for haemodialysis patients as they are not interchangeable. Consensus agreement on the optimal frailty definition for haemodialysis patients must balance ease of use with predictive ability for adverse outcomes before determining clinical application.

The conceptual and practical definitions of frailty in older adults: a systematic review

Purpose

This study aimed to review and extract all publications containing concepts related to definitions of frailty and categorize them.

Methods

A total of six electronic databases (PubMed, Ovid web, Web of Science, Scopus, Embase, Cochrane Library, and ProQuest) were searched to identify studies that introduced a definition of frailty up to October 2018. No language restrictions were imposed.

Results

Totally, 104,370 papers were found in the initial search and finally 68 papers were included. Of these, 21 studies provided a conceptual definition and 50 original articles also 9 review articles provided a practical definition. Moreover, 12 papers had both definitions of frailty. Of them, 62 were published in English, 2 in Portuguese, 1 in Japanese, 2 in Korean, and 1 in German languages.

Conclusion

Many screening tools have been developed but neither of them can cover a wide range of parameters at the same time, nor do they have simplicity in the execution. It is important to note that although a more or less general consensus on one single definition might be expected, we believe that the elderly population is too heterogeneous to allow a tool to address it as a whole, and such a definition may even be impossible. Therefore, in the absence of a "Gold Standard" definition, it is suggested to seek accurate knowledge of the strengths and weaknesses of each definition and choose the most appropriate definition and the most effective evaluation tool according to the purpose of the research and the characteristics of the older population.

End-stage kidney disease patients from ethnic minorities and mortality in coronavirus disease 2019

INTRODUCTION

Coronavirus disease 2019 (COVID-19) adversely affects patients who are older, multimorbid, and from Black, Asian or minority ethnicities (BAME). We assessed whether being from BAME is independently associated with mortality in end-stage kidney disease (ESKD) patients with COVID-19.

METHODS

Prospective observational study in a single UK renal center. A study was conducted between March 10, 2020 and April 30, 2020. Demographics, socioeconomic deprivation (index of multiple deprivation), co-morbidities (Charlson comorbidity index [CCI]), and frailty data (clinical frailty score) were collected. The primary outcome was all-cause mortality. Data were censored on the 1st June 2020.

FINDINGS

Overall, 191 of our 3379 ESKD patients contracted COVID-19 in the 8-week observation period; 84% hemodialysis, 5% peritoneal dialysis, and 11% kidney transplant recipients (KTR). Of these, 57% were male and 67% were from BAME groups (43% Asian, 17% Black, 2% mixed race, and 5% other). Mean CCI was 7.45 (SD 2.11) and 3.90 (SD 2.10) for dialysis patients and KTR, respectively. In our cohort, 60% of patients lived in areas classified as being in the most deprived 20% in the United Kingdom, and of these, 77% of patients were from BAME groups. The case fatality rate was 29%. Multivariable cox regression demonstrated that BAME (hazard ratio [HR]: 2.37, 95% CI: 1.22-4.61) was associated with all-cause mortality after adjustment for age, deprivation, co-morbidities, and frailty. Associations with all-cause mortality persisted in sensitivity analyses in patients from South Asian (HR: 2.52, 95% CI: 1.24-5.12) and Black (HR: 2.43, 95% CI: 1.04-5.67) ethnic backgrounds.

DISCUSSION

BAME ESKD patients with COVID-19 are just over twice as likely to die compared to White patients, despite adjustment for age, deprivation, comorbidity, and frailty. This study highlights the need to develop strategies to improve BAME patient outcomes in future outbreaks of COVID-19.

The degree of frailty as a translational measure of health in aging

Frailty is a multiply determined, age-related state of increased risk for adverse health outcomes. We review how the degree of frailty conditions the development of late-life diseases and modifies their expression. The risks for frailty range from subcellular damage to social determinants. These risks are often synergistic-circumstances that favor damage also make repair less likely. We explore how age-related damage and decline in repair result in cellular and molecular deficits that scale up to tissue, organ and system levels, where they are jointly expressed as frailty. The degree of frailty can help to explain the distinction between carrying damage and expressing its usual clinical manifestations. Studying people-and animals-who live with frailty, including them in clinical trials and measuring the impact of the degree of frailty are ways to better understand the diseases of old age and to establish best practices for the care of older adults.

Moderating effect of age on the relationships between pre-frailty and body measures

This study aims to investigate the relationship between body measures and the presence of two frailty-related phenotypes, and the moderating effect of age on this relationship. This is a secondary data analysis of the baseline data of an interventional study. The participants were residents of seven districts in Hong Kong, aged 55 or older, able to ambulate independently and to function well cognitively. Pre-frailty refers to the presence of two frailty-related phenotypes: low physical activity or poor handgrip strength or both. Included in the study were 199 individuals with a mean age of 73.43 (SD 7.54). Regression models showed that body weight (OR = 0.95, 95% CI 0.92-0.99, p < .05) was significantly associated with pre-frailty, as was body height (OR = 0.88, 95% CI 0.83-0.94, p < .001). Age is a significant moderator of the relationship between pre-frailty and body weight and body height. The effect of body weight (beta = -0.044, p < .05) and height (beta = -0.16, p < .001) on pre-frailty was significant and negative in the younger age groups. The findings indicate that raw body measures (i.e. body weight, body height) are more predictive of pre-frailty than BMI in older Chinese people. However, in the old-old group, these measures are not significant predictors of pre-frailty in Chinese community-dwelling adults. Practitioners should consider adopting body measures as predictors of pre-frailty in the younger-old population.