The frail older person does not exist: development of frailty profiles with latent class analysis

Latent profile analysis of biopsychosocial measures in older patients with (un)explained persistent somatic symptoms

Patients with persistent somatic symptoms (PSS) often receive either somatic or psychiatric care, depending on whether symptoms are respectively medically explained (MES) or unexplained (MUS). This separation may not be as clinically relevant as previously assumed; however, research on data-driven subgroups within cohorts of older patients with PSS is not available. Our goal is to identify more clinically relevant homogeneous subgroups beyond the distinction of MUS and MES among older patients with PSS by using a data-driven approach. We performed two Latent Profile Analyses (LPAs), one focused on 6 somatic health measures, the other on 6 psychosocial measures, using data from a case-control study with participants (>60 years) with MUS (N = 118) or MES (N = 154), recruited from the general public, general practices and secondary healthcare. We identified two somatic-health based (strong, vulnerable) and four mental-health based (strong, vulnerable, lonely, non-acceptance) profiles. We found no statistically significant overlap between the somatic - and mental health profiles (κ = 0.019). Health related quality of life negatively associated with the mentally - and somatically vulnerable profiles. We conclude that singular focus on MUS/MES distinction in the care for older PSS patients may lead to undertreatment of the most vulnerable patients. Integrated care is recommended when treating persistent somatic symptoms in later life, regardless of the (un)explained origin of the symptoms.

Cellular senescence and frailty: a comprehensive insight into the causal links

Senescent cells may have a prominent role in driving inflammation and frailty. The impact of cellular senescence on frailty varies depending on the assessment tool used, as it is influenced by the criteria or items predominantly affected by senescent cells and the varying weights assigned to these items across different health domains. To address this challenge, we undertook a thorough review of all available studies involving gain- or loss-of-function experiments as well as interventions targeting senescent cells, focusing our attention on those studies that examined outcomes based on the individual frailty phenotype criteria or specific items used to calculate two humans (35 and 70 items) and one mouse (31 items) frailty indexes. Based on the calculation of a simple "evidence score," we found that the burden of senescent cells related to musculoskeletal and cerebral health has the strongest causal link to frailty. We deem that insight into these mechanisms may not only contribute to clarifying the role of cellular senescence in frailty but could additionally provide multiple therapeutic opportunities to help the future development of a desirable personalized therapy in these extremely heterogeneous patients.

Multidimensional health heterogeneity of Chinese older adults and its determinants

Background

Nowadays, the "Healthy China" and "Actively Addressing Population Aging" are two important national strategies in China. Promoting high-quality development of demand-driven older adults health services is an important way to achieve these strategies. From the perspective of active ageing, assessing the health status of older adults from multiple dimensions becomes crucial as it helps identify their specific health service needs, intervention measures, and health policies tailored to this population.

Methods

Data were derived from the China Health and Retirement Longitudinal Study (CHARLS) wave 4 (2018). A total of 4190 older adults (aged ≥60 years) were included as the analysis sample. Latent class analysis was performed to categorize older adults based on 6 health indicators, including Activities of Daily Living (ADLs), Instrumental Activities of Daily Living (IADLs), doctor diagnosed chronic diseases, depressive symptoms, cognitive function, and social participation. Multinomial logistic model was used to explore determinants associated with the various patterns of multidimensional health of older adults.

Results

The multidimensional health of older people was classified into three latent classes: Relatively Healthy (Class 1, n = 2806, 66.97%), Highly Depressed and Relatively Health Risk (Class 2, n = 1189, 28.38%), and Functional Impairment (Class 3, n = 195, 4.65%). Gender, age, education, marital status, number of children, alcohol consumption, physical activity, savings, residence, air quality satisfaction, and medical service satisfaction had significant effects on the attribution of all multidimensional health latent classes.

Conclusion

Heterogeneous and multidimensional health classes exist in China's older population, and these classes are influenced by a variety of factors and to varying degrees. Policymakers and healthcare providers can use these evidence to further address the diverse needs of older adults and improve older-care health services, ultimately achieving the goal of Active Ageing and Healthy China.

The importance of a comprehensive geriatric assessment for older people admitted onto a virtual ward

A comprehensive geriatric assessment (CGA) provides a holistic assessment for the frail and older person. The CGA considers physical and mental conditions as well as function, environmental and a person's social circumstances. Virtual wards are a new concept within the NHS, and use of virtual wards during the COVID-19 pandemic reduced hospital admissions by 50%. The British Geriatrics Society has set clear guidelines on how virtual wards should be developed within integrated care services via multidisciplinary community rapid response teams to improve patient outcomes. This article considers a logical approach to assessing suitability for admission onto a virtual ward for a patient who required hospital-at-home services. It does this through the use of a theoretical patient case study, in this case involving delirium and urinary tract infection. Frailty and frailty scoring tools are discussed, as are the advantages and disadvantages of a CGA, considering a clear progression through the five domains. It shows how conducting a CGA allows for the development of a problem list to help prioritise the patient's problems and plan accordingly. A critical review of the literature around virtual wards, hospital-at-home services and admission avoidance identified that community rapid response teams were the logical choice to provide a multidisciplinary holistic approach to the older person admitted onto a virtual ward.

Segmenting citizens according to their self-sufficiency: A tool for local government

Identifying subgroups of citizens with varying levels of self-sufficiency in a large local or regional population provides local government with essential input for providing matching services and well-grounded spending of health and well-being expenditures. This paper identifies self-sufficiency levels of citizens by segmenting a broad adult population. We used data from a citizen survey based on a randomly selected response group containing questions on a wide range of topics, including finances, health and living conditions, and complemented these data with registration data, including information on housing type and household composition. We conducted a latent class cluster analysis using six indicators: perception of making ends meet, perceived health, quality of life, self-efficacy, access to socialsupport and social network. High scores on the indicators translate to high levels of self-sufficiency. We used a biased-adjusted, three-step approach to characterise the segments. Six meaningful segments were identified and labelled as 'highly self-sufficient,' 'self-sufficient - medium access to social support,' 'self-sufficient - medium self-efficacy,' 'moderately self-sufficient - low self-efficacy & high social network,' 'moderately self-sufficient - low access to social support/social network & high perceived health' and 'not self-sufficient.' At a macro level, perception of making ends meet and quality of life have discriminating value in assessing self-sufficiency. For a more detailed differentiation between groups with similar levels of self-sufficiency, perceived health, self-efficacy, access to socialsupport, and social network are valuable indicators. Overall, this study introduces a comprehensive tool to assess self-sufficiency in larger groups of citizens by using a parsimonious number of indicators. Local and regional governments can apply this tool to effectively assess the self-sufficiency levels of their population and signal potentially vulnerable groups. In this way, the tool makes the identification of self-sufficiency levels of larger populations more feasible and more efficient and can be widely adopted in different contexts.

Can the Frailty of Older Adults in China Change? Evidence from a Random-Intercept Latent Transition Profile Analysis

BACKGROUND

A major aspect of caring for older adults in the medical field is addressing their health risks. The term "frailty" is generally used to describe the changes in health risks of older adults. Although there is considerable heterogeneity in the Chinese older adult population who are classified as frail, there remain few relevant studies. Furthermore, there is a lack of research on the frailty status transitions of older Chinese adults at different time points. This research intends to determine the frailty status and category of older adults according to their physical, psychological, social, and cognitive function domains, and on this basis, to investigate changes in their frailty states.

METHODS

This article studied 2791 respondents who were over 60 years old (n = 2791; 53.2% were women) from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) follow-up survey on factors affecting the health of older adults in China. In this article, the frailty variables include self-reported health, social function, mental health, cognitive function, functional limitations, and morbidity status. Random-intercept latent transition profile analysis (RI-LTPA) was used to divide older adults into different subgroups, and then an in-depth analysis of the state transitions was conducted.

RESULTS

The latent profile analysis revealed that the evaluation results of the frailty state of older adults showed obvious group heterogeneity. Each fitting index supported four latent states, which were named according to the degree of the symptoms (i.e., multi-frailty, severe socially frailty, mild socially frailty, and relatively healthy frailty). Based on the categorical probability and the probability of transition, it can be concluded that most of the samples belonged to the healthy population, and the health status had generally improved across the four time points. The relatively healthy frailty group and the severe socially frailty group have relatively strong stabilities. The multi-frailty group and the mild socially frailty group had the highest probability of joining to the relatively healthy frailty group. Strengthening social interactions among older adults and promoting their participation in social activities can significantly improve their frail state.

CONCLUSIONS

This study supplements related research on frailty. Firstly, it deepens the meaning of frailty, which is defined based on four aspects: physical, psychological, cognitive, and social functioning. Secondly, it divides frailty into different sub-categories. Frailty is discussed from the perspective of longitudinal research, which can provide practical adjustment suggestions for older adult nursing intervention systems and measures in China.

Effects of a Multicomponent Exercise and Therapeutic Lifestyle (CERgAS) Intervention on Gait Function in Lower-Income Urban-Dwelling Older Adults: A Cluster Randomized Controlled Trial

This study aims to determine the effectiveness of a multicomponent exercise and therapeutic lifestyle (CERgAS) intervention at improving gait speed among older people in an urban poor setting in Malaysia. A total of 249 participants were divided into the intervention (n = 163) and control (n = 86) groups. The mean (SD) age of participants was 67.83 (6.37) and consisted of 88 (35.3%) males and 161 (64.7%) females. A generalized estimating equation with an intention-to-treat analysis was used to measure gait speed at four time points, baseline (T0), 6 weeks (T1), 3 months postintervention (T2), and 6 months postintervention (T3). The results showed significant changes for time between T0 and T3 (mean difference = 0.0882, p = .001), whereas no significant association were found for group (p = .650) and interaction (p = .348) effects. A 6-week intervention is inadequate to improve gait speed. Future efforts should introduce physical activity monitoring and increase exercise duration, frequency, and intensity.

Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty

Background

Frailty is a dynamic and complex geriatric condition characterized by multi-domain declines in physiological, gait and cognitive function. This study examined whether digital health technology can facilitate frailty identification and improve the efficiency of diagnosis by optimizing analytical and machine learning approaches using select factors from comprehensive geriatric assessment and gait characteristics.

Methods

As part of an ongoing study on observational study of Aging, we prospectively recruited 214 individuals living independently in the community of Southern China. Clinical information and fragility were assessed using comprehensive geriatric assessment (CGA). Digital tool box consisted of wearable sensor-enabled 6-min walk test (6MWT) and five machine learning algorithms allowing feature selections and frailty classifications.

Results

It was found that a model combining CGA and gait parameters was successful in predicting frailty. The combination of these features in a machine learning model performed better than using either CGA or gait parameters alone, with an area under the curve of 0.93. The performance of the machine learning models improved by 4.3-11.4% after further feature selection using a smaller subset of 16 variables. SHapley Additive exPlanation (SHAP) dependence plot analysis revealed that the most important features for predicting frailty were large-step walking speed, average step size, age, total step walking distance, and Mini Mental State Examination score.

Conclusion

This study provides evidence that digital health technology can be used for predicting frailty and identifying the key gait parameters in targeted health assessments.

Screen-based and non-screen-based sedentary behaviors are differentially associated with affective states in older adults

Excessive sedentary behavior (SB) contributes to poor affective and physical feeling states, which is particularly concerning for older adults who are the most sedentary sector of the population. Specific types of SB have been shown to differentially impact health in cross-sectional and longitudinal studies, with screen-based SB more negatively impacting aspects of mental health. This study used Ecological Momentary Assessment (EMA), a real-time, intensive longitudinal data capture methodology, to examine the differential impact of screen-based behaviors on momentary affective responses during SB in naturalistic settings. A diverse sample of older adults (pooled across 2 studies) completed an EMA protocol for 8-10 days with six randomly delivered, smartphone assessments per day. At each EMA prompt, participants reported their current activity, whether they were sitting while doing that activity, and affective states. Multilevel models assessed whether screen-based (vs. non-screen-based) behavior moderated affective response during SB. At the within-person level, older adults experienced less positive affect during SB when engaged in a screen-based behavior compared to a non-screen-based SB (B = -0.10, p < 0.01). At the between-person level, positive associations between SB and negative affect (B = 0.79, p = 0.03) were stronger if participants reported engaging in screen-based behaviors for a greater proportion of prompts. Among older adults, screen-based SB may lead to poorer affective states compared to non-screen-based SB. Interventions aiming to reduce SB in this population should consider targeting reductions in screen-based SB as means to improve affective states.

Heterogeneity of vulnerability and taste changes in older cancer patients undergoing chemotherapy: a latent class analysis

PURPOSE

Taste changes and vulnerability are commonly co-occurring in oncology patients undergoing chemotherapy. However, few studies explored the association and the inter-individual variability of these two conditions. This study aimed to identify heterogeneous subtypes of vulnerability and taste changes in older cancer patients undergoing chemotherapy, and explore individuals' characteristics and risk factors.

METHODS

In this cross-sectional study, the latent class analysis (LCA) was conducted to identify the heterogeneous subgroups of patients with distinct vulnerability and taste change profiles. Differences in sociodemographic and clinical characteristics among the subpopulation were evaluated using parametric and nonparametric tests. Multinomial logistic regression was performed to investigate predictors of taste change-vulnerability subgroup classification.

RESULTS

Three subgroups of those older cancer survivors were identified from the LCA: Class 1 (27.5%)-"Moderate taste change and low vulnerability", Class 2 (29.0%)-"Low taste change and moderate vulnerability", Class 3 (43.5%)-"High taste change and high vulnerability". 98.9% of Class 3 reported taste changes and 54.0% reported vulnerability. Results from multinomial logistic regression indicated that patients in Class 3 were more likely to report experiencing mouth dryness and high blood pressure, and have received more than 3 cycles of chemotherapy.

CONCLUSION

The findings could provide new insights into the association between taste changes and vulnerability in older cancer adults receiving chemotherapy. Identifying different latent classes of taste changes and vulnerability would be helpful for developing interventions tailored to the heterogeneous survivors.

Factors associated with frailty syndrome in older adults with three- and four-criteria clustering

This study aimed to identify the main clusters of diagnostic criteria pertaining to frailty syndrome as well as the factors associated with the occurrence of frailty without diagnostic criteria clusters and with clusters of three and four criteria. This is a cross-sectional study, carried out with 216 older adults. In order to determine the dependent variable, a combination of the following criteria for frailty syndrome diagnostic criteria was used: unintentional weight loss, exhaustion, muscle weakness, a low level of physical activity, and a slow gait speed. There were different clusters of Frailty Syndrome diagnostic criteria and were associated with Frailty with clustering of three criteria, age group ≥80 years and negative self-perception of health and Frailty with clustering of four criteria, age group ≥80 years and polypharmacy use. Age, self-perception of health, and polypharmacy can be assessed to target different intervention plans in the frail older adult population.

[Frail-VIG index: Convergent and discriminatory validity with respect to Short Physical Performance Battery in general population]

BACKGROUND AND OBJECTIVE

Studies of frailty in primary health care (PHC) using frailty indexes are scarce. Frail-VIG index assesses the level of frailty through a multidimensional approach. The main objective was to investigate the convergent and discriminative validity of the frail-VIG index with respect to Short Physical Performance Battery (SPPB) in general population ≥ 70 years.

POPULATION, MATERIALS AND METHODS

Descriptive cross-sectional study. We included 416 non-institutionalized patients aged 70 years or over from two lists of general practitioners in a semi-urban healthcare center. Main variables were: frail-VIG index and SPPB.

RESULTS

The value of the area under the ROC curve of frail-VIG index respect SPPB < 7 was 0.81 (95% CI: 0.76-0.86). Pearson's correlation coefficient was -0.59 (95% CI: -0.524 to -0.649). The mean of frail-VIG index in those classified as not frail by SPPB < 7 was 0.103 (95% CI: 0.094-0.112) and in the frail was 0.242 (95% CI: 0.215-0.269). We obtained significant differences in the mean and distribution of the SPPB according to the frail-VIG index categories. The frailty prevalence according to the frail-VIG index was 29.3% (95% CI: 25.2-33.9), initial 19%, intermediate 7.5% and advanced 2.9%. There were frailty people by frail-VIG index and not by SPPB < 7 the 10.4%; on the contrary the 9.6%, the mean of affected domains of frail-VIG index was 3.9 and 2.2, respectively.

CONCLUSIONS

The frail-VIG index presents adequate convergent and discriminative validity with respect to the SPPB that supports the use in PHC. There is a 20% of participants classified as frail in a discordant way, who presents a different profile.

Critical Appraisal of the Concept Frailty: Rating of Frailty in Elderly People has Weak Scientific Basis and should not be Used for Managing Individual Patients

The concept frail elderly has been used to highlight the biological, rather than chronological, age. International and national bodies recommend that individuals over age 70 who visit healthcare facilities should be screened for frailty. There are important objections to the concept. Diagnostics: 'Frailty' is used for several completely different types of health problems. There are no useful biomarkers, but more than 60 different published rating methods for frailty, where different methods provide very different prevalence of frailty and also do not identify the same groups of elderly people. There is significant overlap between Clinical Frailty Scale- scores and activity of daily living (ADL)-scores. There is no gold standard method against which published frailty rating scales can be validated. It is unclear when, where and how often screening for frailty should occur in healthcare. Treatment: The evidence for treatment of frailty is very weak. A recent systematic overview found that the 21 included randomised, controlled studies (RCTs) were very heterogeneous as regards inclusion/exclusion criteria, how the condition of frailty was defined, what treatment was given and what health outcomes were assessed. In addition, there are often problems with the quality of the studies. The lack of a clear definition and evidence-based treatment of frailty means that it is inappropriate to introduce assessments of frailty in individual elderly patients in health care.

Frailty as a predictor of adverse outcomes in head and neck reconstruction: A systematic review

BACKGROUND

Frailty has been shown to adversely impact outcomes in a number of surgical disciplines. In head and neck reconstructive surgery, frailty may represent a significant risk factor in predicting post-operative outcomes due to the common characteristics of the patient population undergoing these procedures.

OBJECTIVES

To summarize the available evidence about frailty as a predictor of post-operative complications, length of hospital stay and quality of life in patients undergoing head and neck reconstructive surgery.

STUDY DESIGN

Systematic Review.

METHODS

The study protocol was registered with PROSPERO, registration CRD42022302899. Methodology was in keeping with the PRISMA Guidelines for Systematic Reviews. MEDLINE, SCOPUS, EMBASE, Web of Science and CENTRAL were the databases searched. Qualitative synthesis of the included studies was carried out, and quality assessment was performed.

RESULTS

Nine studies that reported data on 10,457 patients undergoing reconstruction of the head and neck were included in the review. A number of different tools were used to assess frailty, with the modified frailty index being the most frequently used. In total, 8 studies reported increased rates of complications in patients with increased levels of frailty, irrespective of the frailty tool used, with varied levels of statistical significance across the studies.

CONCLUSION

An association is observed between increased rates of perioperative complications and increased levels of frailty in patients undergoing head and neck reconstruction. Frailty tools may represent a useful method to risk stratify patients undergoing reconstructive head and neck surgery.

Are Skeletal Muscle Changes during Prolonged Space Flights Similar to Those Experienced by Frail and Sarcopenic Older Adults?

Microgravity exposure causes several physiological and psychosocial alterations that challenge astronauts' health during space flight. Notably, many of these changes are mostly related to physical inactivity influencing different functional systems and organ biology, in particular the musculoskeletal system, dramatically resulting in aging-like phenotypes, such as those occurring in older persons on Earth. In this sense, sarcopenia, a syndrome characterized by the loss in muscle mass and strength due to skeletal muscle unloading, is undoubtedly one of the most critical aging-like adverse effects of microgravity and a prevalent problem in the geriatric population, still awaiting effective countermeasures. Therefore, there is an urgent demand to identify clinically relevant biological markers and to underline molecular mechanisms behind these effects that are still poorly understood. From this perspective, a lesson from Geroscience may help tailor interventions to counteract the adverse effects of microgravity. For instance, decades of studies in the field have demonstrated that in the older people, the clinical picture of sarcopenia remarkably overlaps (from a clinical and biological point of view) with that of frailty, primarily when referred to the physical function domain. Based on this premise, here we provide a deeper understanding of the biological mechanisms of sarcopenia and frailty, which in aging are often considered together, and how these converge with those observed in astronauts after space flight.

Interaction between geriatric syndromes in predicting three months mortality risk

OBJECTIVES

Capturing frailty using a quick tool has proven to be challenging. We hypothesise that this is due to the complex interactions between frailty domains. We aimed to identify these interactions and assess whether adding interactions between domains improves mortality predictability.

METHODS

In this retrospective cohort study, we selected all patients aged 70 or older who were admitted to one Dutch hospital between April 2015 and April 2016. Patient characteristics, frailty screening (using VMS (Safety Management System), a screening tool used in Dutch hospital care), length of stay, and mortality within three months were retrospectively collected from electronic medical records. To identify predictive interactions between the frailty domains, we constructed a classification tree with mortality as the outcome using five variables: the four VMS-domains (delirium risk, fall risk, malnutrition, physical impairment) and their sum. To determine if any domain interactions were predictive for three-month mortality, we performed a multivariable logistic regression analysis.

RESULTS

We included 4,478 patients. (median age: 79 years; maximum age: 101 years; 44.8% male) The highest risk for three-month mortality included patients that were physically impaired and malnourished (23% (95%-CI 19.0-27.4%)). Subgroups had comparable three-month mortality risks based on different domains: malnutrition without physical impairment (15.2% (96%-CI 12.4-18.6%)) and physical impairment and delirium risk without malnutrition (16.3% (95%-CI 13.7-19.2%)).

DISCUSSION

We showed that taking interactions between domains into account improves the predictability of three-month mortality risk. Therefore, when screening for frailty, simply adding up domains with a cut-off score results in loss of valuable information.

Palliative care symptoms, concerns and well-being of older people with frailty and complex care needs upon hospital discharge: a cross-sectional study

Background

Little is known about the nature and intensity of palliative care needs of hospitalised older people. We aimed to describe the palliative care symptoms, concerns, and well-being of older people with frailty and complex care needs upon discharge from hospital to home, and to examine the relationship between palliative care symptoms and concerns, and well-being.

Methods

Cross-sectional study using baseline survey data of a pilot randomised controlled trial. Hospital staff identified patients (≥ 70 years) about to be discharged home, with a clinical frailty score of 5 to 7 and complex needs based on physician-assessment. Patients completed structured interviews, using the Integrated Palliative Care Outcome Scale (IPOS), ICEpop CAPability measure for supportive care (ICECAP-SCM) and IPOS Views on Care quality of life item. We calculated descriptive statistics.

Results

We assessed 37 older people with complex needs (49% women, mean age 84, standard deviation 6.1). Symptoms rated as causing severe problems were weakness (46%) and poor mobility (40%); 75% reported that their family felt anxious at least occasionally. Of the 17 IPOS items, 41% of patients rated five or more symptoms as causing severe problems, while 14% reported that they were not severely affected by any symptom. 87% expressed feeling supported. There was a negative correlation between symptoms (IPOS) and well-being (ICECAP); r = -0.41.

Conclusion

We identified a large variety of symptoms experienced by older people identified as having frailty and complex needs upon hospital discharge. Many were severely affected by multiple needs. This population should be considered for palliative care follow-up at home.

Frailty and emergency surgery: identification and evidence-based care for vulnerable older adults

Frailty is a multidimensional state related to accumulation of age- and disease-related deficits across multiple domains. Older people represent the fastest growing segment of the peri-operative population, and 25-50% of older surgical patients live with frailty. When frailty is present before surgery, adjusted rates of morbidity and mortality increase at least two-fold; the odds of delirium and loss of independence are increased more than four- and five-fold, respectively. Care of the older person with frailty presenting for emergency surgery requires individualised and evidence-based care given the high-risk and complex nature of their presentations. Before surgery, frailty should be assessed using a multidimensional frailty instrument (most likely the Clinical Frailty Scale), and all members of the peri-operative team should be aware of each patient's frailty status. When frailty is present, pre-operative care should focus on documenting and communicating individualised risk, considering advanced care directives and engaging shared decision-making when feasible. Shared multidisciplinary care should be initiated. Peri-operatively, analgesia that avoids polypharmacy should be provided, along with delirium prevention strategies and consideration of postoperative care in a monitored environment. After the acute surgical episode, transition out of hospital requires that adequate support be in place, along with clear discharge instructions, and review of new and existing prescription medications. Advanced care directives should be reviewed or initiated in case of readmission. Overall, substantial knowledge gaps about the optimal peri-operative care of older people with frailty must be addressed through robust, patient-oriented research.

An Easy-to-Implement Clinical-Trial Frailty Index Based on Accumulation of Deficits: Validation in Zoster Vaccine Clinical Trials

Purpose

Despite being among those most in need of protection, frail older adults are often not well represented in clinical trials. Although frailty likely influences responses to treatments and vaccines, frailty may not be explicitly considered in trials even when frail participants are enrolled due to the perception that frailty is difficult to measure effectively and efficiently without adding to participant or data collection burden. We developed an easy-to-implement frailty index, the Clinical Trial-Frailty Index (CT-FI), based on baseline medical history and standard patient-reported outcomes using data from clinical trials of recombinant Zoster vaccine (the ZOE-50 and ZOE-70 studies). Our objective was to demonstrate that the CT-FI is a robust measure that may be used retrospectively or prospectively in clinical trials where sufficient patient data have been collected.

Methods

The CT-FI was based on baseline medical history and Quality of Life questionnaires (SF-36 and EQ-5D). Items meeting criteria for inclusion were scored from 0 to 1, then summed for each participant and divided by the total number of deficits considered. Validation analyses included descriptive verification of distribution and age- and sex-associations in relation to usual patterns of the frailty index, regressions in relation to outcomes hypothesized to be related to frailty, and resampling methods within the index.

Results

The CT-FI distribution was well represented by a gamma distribution with a range of 0–0.70. Deficit accumulation increased with chronological age and was higher for females. Multivariate Cox regression survival analysis showed that the CT-FI, age, and sex were significant predictors of mortality. Jackknife and Bootstrap resampling methods highlighted the robustness of the CT-FI, which was not sensitive to inclusion/exclusion of specific individual or groups of variables.

Conclusion

We have developed a reliable, robust and easy-to-implement CT-FI with potential retrospective or prospective application in other clinical trials.

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Exploring the type of social support available to aged male hypertensive clients in Ghana

Objective

To explores the social support available to aged hypertensive male clients in a municipality in Ghana.

Methods

The inclusion criteria were as follows: age ≥60 years and are known hypertensive patients. Data were collected from 186 selected aged male hypertensive patients for 3 months. The questionnaire was self-developed and open-ended. The data were processed and analyzed using SPSS version 23. Some of the variables were subjected to statistical tests and ranks in the order of importance to respondents. The enrolled respondents were allowed to participate in the study after their informed consent was obtained. It was evident that respondents do not obtain much support or help in taking care of their condition.

Results

The result revealed that the repondents has no support to help take care of their condition as evident by the responses in the study. The scores on average mean for some variables are (AM = 2.25, SD = 0.381) more than the test value of 2.50. Some of these supports were on feeding support (M = 3.97, SD = 0.278, n = 186), health support (M = 2.87, SD = 0.167, n = 186), and cleaning support (M = 2.59, SD = 0.868, n = 186). Supports such as clothing, socialization, medication, washing, transportation, and financial support were lacking.

Conclusions

Based on the finding that certain forms of support were lacking, the study concludes that steps undertaken by the government, community, religious bodies, and family toward improving these supports can be of immense help for aged male hypertensive patients living in the Ejura-Sekyedumase municipality.

Evaluation of frailty and neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios relationship in elderly people

It was aimed to evaluate the relationship between frailty and inflammation in people receiving home health care. It was a cross-sectional study. Edmonton Frail Scale was used to determine the level of frailty and, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio were used to determine inflammation. Of 332 people included in the study, 54.82% were females and 45.18% were males. Participants' ages were between 65 and 106. When we examined the frailty of the participants according to the Edmonton Frail Scale, the mean score was 9.403 ± 2.032. The mean neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio of the participants were 4,397±5,038 and 169,363±101,461 respectively. Accordingly, neutrophil-to-lymphocyte ratio was high in men, frail elderly, 75-84 age range, hypertension patients, malnutrition patients; and neutrophil-to-lymphocyte ratio was low in diabetes mellitus, dementia, cerebrovascular accident and hemiplegia. Platelet-to-lymphocyte ratio, another inflammatory marker, was high in men, non-frail elderly, 75-84 age range, hypertension patients and cerebrovascular accident patients; it was low in hemiplegia, malnutrition, dementia, diabetes mellitus. In the study, no statistically significant difference was found between Edmonton Frail Scale and inflammatory markers. More studies are needed on this subject. In addition, we think that examining NLR and PLR values will be useful for monitoring inflammation in frail elderly.

Vertical integration in the Australian community care setting: Can it work? A theoretical review of current literature

Vertical integration (VI) is considered a strategic management plan whereby an organisation has ownership of its supply chain. It is utilised as a method for managing the economic needs and approaches of an organisation and ensuring that a product is readily available for use. From a healthcare perspective, this pertains to the coordination of services or levels of care and allows for adaptation to changing circumstances. This study reviews existing literature on VI in a healthcare setting to assess feasibility and effectiveness of this proposed solution. A theoretical literature review was performed utilising conceptual categorisation to understand how VI may benefit community care organisations, using the needs of a local organisation as an example. Seventeen articles were included from a range of databases and grey literature with findings categorised according to two research questions. The findings suggest that for VI to be effective and efficient it is important to consider the following themes: market failure, barriers to entry, productive capabilities and specific healthcare issues. In conclusion, from a management and economic perspective, when markets are not functioning efficiently and are in disequilibrium, VI may provide an appropriate avenue to address these problems, in particular for community care organisations.

Biomarkers shared by frailty and sarcopenia in older adults: A systematic review and meta-analysis

BACKGROUND

Physical frailty and sarcopenia show extensive clinical similarities. Whether biomarkers exist that are shared by the two conditions is presently unclear.

METHODS

We conducted a systematic review and meta-analysis of cross-sectional and longitudinal studies that investigated the association of frailty and/or sarcopenia with biomarkers as a primary or secondary outcome in adults aged 60 years and older. Only studies published in English that defined frailty using a validated scale and/or questionnaire and diagnosed sarcopenia according to the presence of muscle atrophy plus dynapenia or low physical function were included. Studies were identified from a systematic search of MEDLINE and SCOPUS databases from inception through August 2020. The quality of reporting of each study was assessed by using the Quality Assessment Tool for Observational Cohort, Cross-Sectional and Case-Control studies of the National Institute of Health. A meta-analysis was conducted when at least three studies investigated the same biomarker in both frailty and sarcopenia. Pooled effect size was calculated based on standard mean differences and random-effect models. Sensitivity analysis was performed based on age and the setting where the study was conducted.

RESULTS

Eighty studies (58 on frailty and 22 on sarcopenia) met the inclusion criteria and were included in the qualitative analysis. Studies on frailty included 33,160 community-dwellers, hospitalized, or institutionalized older adults (60-88 years) from 21 countries. Studies on sarcopenia involved 4904 community-living and institutionalized older adults (68-87.6 years) from 9 countries. Several metabolic, inflammatory, and hematologic markers were found to be shared between the two conditions. Albumin and hemoglobin were negatively associated with both frailty and sarcopenia. Interleukin 6 was associated with frailty and sarcopenia only in people aged < 75. Community-dwelling older adults with frailty and sarcopenia had higher levels of tumor necrosis factor alpha compared with their robust and non-sarcopenic counterparts.

CONCLUSIONS

A set of metabolic, hematologic, and inflammatory biomarkers was found to be shared by frailty and sarcopenia. These findings fill a knowledge gap in the quest of biomarkers for these conditions and provide a rationale for biomarker selection in studies on frailty and sarcopenia.

Stratification in health and survival after age 100: evidence from Danish centenarians

BACKGROUND

The existence of a super-select group of centenarians that demonstrates increased survivorship has been hypothesized. However, it is unknown if this super-select group possesses similar characteristics apart from extreme longevity.

METHODS

In this study, we analyse high-quality health and survival data of Danish centenarians born in 1895, 1905 and 1910. We use Latent Class Analysis to identify unobserved health classes and to test whether these super-select lives share similar health characteristics.

RESULTS

We find that, even after age 100, a clear and distinct gradient in health exists and that this gradient is remarkably similar across different birth cohorts of centenarians. Based on the level of health, we identify three clusters of centenarians - robust, frail and intermediate - and show that these groups have different survival prospects. The most distinctive characteristic of the robust centenarians is the outperformance in different health dimensions (physical, functional and cognitive). Finally, we show that our health class categorizations are good predictors of the survival prospects of centenarians.

CONCLUSIONS

There is a clear stratification in health and functioning among those over 100 years of age and these differences are associated with survival beyond age 100.

Profiles of Frailty among Older People Users of a Home-Based Primary Care Service in an Urban Area of Barcelona (Spain): An Observational Study and Cluster Analysis

Background: The multidimensional assessment of frailty allows stratifying it into degrees; however, there is still heterogeneity in the characteristics of people in each stratum. The aim of this study was to identify frailty profiles of older people users of a home-based primary care service. Methods: We carried out an observational study from January 2018 to January 2021. Participants were all people cared for a home-based primary care service. We performed a cluster analysis by applying a k-means clustering technique. Cluster labeling was determined with the 22 variables of the Frail-VIG index, age, and sex. We computed multiple indexes to assess the optimal number of clusters, and this was selected based on a clinical assessment of the best options. Results: Four hundred and twelve participants were clustered into six profiles. Three of these profiles corresponded to a moderate frailty degree, two to a severe frailty degree and one to a mild frailty degree. In addition, almost 75% of the participants were clustered into three profiles which corresponded to mild and moderate degree of frailty. Conclusions: Different profiles were found within the same degree of frailty. Knowledge of these profiles can be useful in developing strategies tailored to these differentiated care needs.

Towards a more effective strategy to detect community-dwelling frail older adults: validation of risk factors

Purpose

In the context of early detection of frail older people, prior research found several risk factors of multidimensional frailty. The current study aims to validate these risk factors.

Design/methodology/approach

Two data sets, Belgian Ageing Studies and Detection, Support and Care for older people: Prevention and Empowerment (BAS and D-SCOPE), in three Belgian municipalities (Ghent, Knokke-Heist and Thienen) were used and compared. The BAS data set (N = 1496) is a representative sample of community-dwelling older adults (60+), while the recruitment of the D-SCOPE sample (validation sample, N = 869) is based on risk factors (e.g. age, marital status, moved in the past 10 years). Frailty was measured with the comprehensive frailty assessment instrument (CFAI). The validity was examined by means of prevalence rates, distribution and the odds rates within both data sets.

Findings

The validation sample had an increase in the percentage of elderly who were mildly and highly frail for physical frailty (men: +17.0 percent point, women: +20.7 percent point), for psychological frailty (men: +13.4 percent point, women: +13.7 percent point), for social frailty (men: +24.8 percent point, women: +4.8 percent point) and environmental frailty (men: +24.2 percent point, women: +6.8 percent point). The present results indicate that the risk of being mildly or highly frail was higher in the validation sample in comparison with the BAS data.

Originality/value

The present study proved the validity of aforementioned risk factors. Selecting older people based on these risk factors proved to be an effective strategy for detecting frail older people.

Portals to frailty? Data-driven analyses detect early frailty profiles

BACKGROUND

Frailty is an aging condition that reflects multisystem decline and an increased risk for adverse outcomes, including differential cognitive decline and impairment. Two prominent approaches for measuring frailty are the frailty phenotype and the frailty index. We explored a complementary data-driven approach for frailty assessment that could detect early frailty profiles (or subtypes) in relatively healthy older adults. Specifically, we tested whether (1) modalities of early frailty profiles could be empirically determined, (2) the extracted profiles were differentially related to longitudinal cognitive decline, and (3) the profile and prediction patterns were robust for males and females.

METHODS

Participants (n = 649; M age = 70.61, range 53-95) were community-dwelling older adults from the Victoria Longitudinal Study who contributed data for baseline multi-morbidity assessment and longitudinal cognitive trajectory analyses. An exploratory factor analysis on 50 multi-morbidity items produced 7 separable health domains. The proportion of deficits in each domain was calculated and used as continuous indicators in a data-driven latent profile analysis (LPA). We subsequently examined how frailty profiles related to the level and rate of change in a latent neurocognitive speed variable.

RESULTS

LPA results distinguished three profiles: not-clinically-frail (NCF; characterized by limited impairment across indicators; 84%), mobility-type frailty (MTF; characterized by impaired mobility function; 9%), and respiratory-type frailty (RTF; characterized by impaired respiratory function; 7%). These profiles showed differential neurocognitive slowing, such that MTF was associated with the steepest decline, followed by RTF, and then NCF. The baseline frailty index scores were the highest for MTF and RTF and increased over time. All observations were robust across sex.

CONCLUSIONS

A data-driven approach to early frailty assessment detected differentiable profiles that may be characterized as morbidity-intensive portals into broader and chronic frailty. Early inventions targeting mobility or respiratory deficits may have positive downstream effects on frailty progression and cognitive decline.

Frailty Status Typologies in Spanish Older Population: Associations with Successful Aging

Background: Defining frailty typologies would contribute to guiding specific care interventions. These typologies could additionally be related to different health outcomes. This study aims at identifying subgroups of frail older adults based on the physical frailty phenotype and examining the relationships of these frailty profiles with quality of life and perceived health. Methods: This study relies on data from the SHARE project, namely a representative sample of 1765 Spanish-dwelling older adults identified as frail or pre-frail. Analysis included general descriptive statistics, exploratory latent class analysis (LCA) to determine the number of frailty subgroups, and LCA with covariates to examine differential relationships with markers of successful aging. Results: Statistical criteria and interpretability of the classes suggested that the LCA model with four classes should be retained. Class 1 was identified as the “frail people” group, Class 2 “activity problems” group, Class 3 “fatigued” group, and those belonging to Class 4 “lack of strength” group. Final LCA with covariates showed lower levels of quality of life and perceived health of the “frail” as compared to other frailty subgroups. Conclusion: This study revealed four different patterns of frailty attributes and further offered evidence on individuals’ differential status of health regarding distinct frailty conditions.

Health profiles and socioeconomic characteristics of nonagenarians residing in Mugello, a rural area in Tuscany (Italy)

Background

Health, as defined by the WHO, is a multidimensional concept that includes different aspects. Interest in the health conditions of the oldest-old has increased as a consequence of the phenomenon of population aging. This study investigates whether (1) it is possible to identify health profiles among the oldest-old, taking into account physical, emotional and psychological information about health, and (2) there are demographic and socioeconomic differences among the health profiles.

Methods

Latent Class Analysis with covariates was applied to the Mugello Study data to identify health profiles among the 504 nonagenarians residing in the Mugello district (Tuscany, Italy) and to evaluate the association between socioeconomic characteristics and the health profiles resulting from the analysis.

Results

This study highlights four groups labeled according to the posterior probability of determining a certain health characteristic: “healthy”, “physically healthy with cognitive impairment”, “unhealthy”, and “severely unhealthy”. Some demographic and socioeconomic characteristics were found to be associated with the final groups: older nonagenarians are more likely to be in worse health conditions; men are in general healthier than women; more educated individuals are less likely to be in extremely poor health conditions, while the lowest-educated are more likely to be cognitively impaired; and office or intellectual workers are less likely to be in poor health conditions than are farmers.

Conclusions

Considering multiple dimensions of health to determine health profiles among the oldest-old could help to better evaluate their care needs according to their health status.

Development of frailty subtypes and their associated risk factors among the community-dwelling elderly population

In order to explore frailty subtypes and find their associated risk factors, we conducted cross-sectional surveys of 5,341 seniors aged 60 and over in China using the Frailty Index (FI) scale. We identified four frailty subtypes, namely multi-frail, cognitive and functionally frail, psychologically frail and physiologically frail. Old age and low education level were the common risk factors among the four subtypes. Being widowed, divorced or unmarried was a risk factor for multi-frail, cognitive and functionally frail and psychologically frail, and male sex was a protective factor against cognitive and functionally frail and psychologically frail subtypes. Having a harmonious relationship with family was a protective factor against multi-frail, and fewer visits to the elderly by their children was a risk factor for psychologically frail. Dissatisfaction with their housing was a risk factor for cognitive and functionally frail, psychologically frail and physiologically frail, and a pension being the main source of income was a risk factor for cognitive and functionally frail and psychologically frail. Exercising every day was a protective factor against multi-frail and cognitive and functionally frail, and a lower level of physical activity was a risk factor for all four frailty subtypes. Our findings confirm the heterogeneity of frailty and suggest that different frail elderly individuals need more targeted care interventions.

How Do Common Comorbidities Modify the Association of Frailty With Survival After Elective Noncardiac Surgery? A Population-Based Cohort Study

BACKGROUND

Older people with frailty have decreased postoperative survival. Understanding how comorbidities modify the association between frailty and survival could improve risk stratification and guide development of interventions. Therefore, we evaluated whether the concurrent presence of common and high-risk comorbidities (dementia, chronic obstructive pulmonary disease [COPD], coronary artery disease [CAD], diabetes mellitus, heart failure [HF]) in conjunction with frailty might be associated with a larger decrease in postoperative survival after major elective surgery than would be expected based on the presence of the comorbidity and frailty on their own.

METHODS

This cohort study used linked administrative data from Ontario, Canada to identify adults >65 years having elective noncardiac surgery from 2010 to 2015. Frailty was identified using a validated index; comorbidities were identified with validated codes. We evaluated the presence of effect modification (also called interaction) between frailty and each comorbidity on (1) the relative (or multiplicative) scale by assessing whether the risk of mortality when both frailty and the comorbidity were present was different than the product of the risks associated with each condition; and (2) the absolute risk difference (or additive) scale by assessing whether the risk of mortality when both frailty and the comorbidity were present was greater than the sum of the risks associated with each condition.

RESULTS

11,150 (9.7%) people with frailty died versus 7826 (2.8%) without frailty. After adjustment, frailty was associated with decreased survival (adjusted hazard ratio [HR] = 2.42; 95% confidence interval [CI], 2.31-2.54). On the relative (multiplicative) scale, only diabetes mellitus demonstrated significant effect modification (P value for interaction .03; reduced risk together). On the absolute risk difference (additive) scale, all comorbidities except for coronary disease demonstrated effect modification of the association of frailty with survival. Co-occurrence of dementia with frailty carried the greatest excess risk (Synergy Index [S; the excess risk from exposure to both risk factors compared to the sum of the risks from each factor in isolation] = 2.29; 95% CI, 1.32-10.80, the excess risk from exposure to both risk factors compared to the sum of the risks from each factor in isolation).

CONCLUSIONS

Common comorbidities modify the association of frailty with postoperative survival; however, this effect was only apparent when analyses accounted for effect modification on the absolute risk difference, as opposed to relative scale. While the relative scale is more commonly used in biomedical research, smaller effects may be easier to detect on the risk difference scale. The concurrent presence of dementia, COPD, and HF with frailty were all associated with excess mortality on the absolute risk difference scale.

Predictive Accuracy of Frailty Tools for Adverse Outcomes in a Cohort of Adults 80 Years and Older: A Decision Curve Analysis

OBJECTIVES

To compare the predictive performance of 3 frailty identification tools for mortality, hospitalization, and functional decline in adults aged ≥80 years using risk reclassification statistics and decision curve analysis.

DESIGN

Population-based, prospective cohort.

SETTING

BELFRAIL study, Belgium.

PARTICIPANTS

560 community-dwelling adults aged ≥80 years.

MEASUREMENTS

Frailty by Cardiovascular Health Study (CHS) phenotype, Longitudinal Aging Study Amsterdam (LASA) markers, and Groeningen Frailty Indicator (GFI); mortality until 5.1 ± 0.25 years from baseline and hospitalization until 3.0 ± 0.25 years; and functional status assessed by activities of daily living at baseline and after 1.7 ± 0.21 years.

RESULTS

Frailty prevalence was 7.3% by CHS phenotype, 21.6% by LASA markers, and 22% by GFI. Participants determined to be frail by each tool had a significantly higher risk for all-cause mortality and first hospitalization. For functional decline, only frail by GFI had a higher adjusted odds ratio. Harrell 's C-statistic for mortality and hospitalization and area under receiver operating characteristic curve for functional decline were similar for all tools and <0.70. Reclassification statistics showed improvement only by LASA markers for hospitalization and mortality. In decision curve analysis, all tools had higher net benefit than the 2 default strategies of "treat all" and "treat none" for mortality risk ≥20%, hospitalization risk ≥35%, and functional decline probability ≥10%, but their curves overlapped across all relevant risk thresholds for these outcomes.

CONCLUSIONS AND IMPLICATIONS

In a cohort of adults aged ≥80 years, 3 frailty tools based on different conceptualizations and assessment sources had comparable but unsatisfactory discrimination for predicting mortality, hospitalization, and functional decline. All showed clinical utility for predicting these outcomes over relevant risk thresholds, but none was significantly superior. Future research on frailty tools should include a focus on the specific group of adults aged ≥80 years, and the predictive accuracy for adverse outcomes of different tools needs a comprehensive assessment that includes decision curve analysis.

Community-Dwelling and Recently Widowed Older Adults: Effects of Spousal Loss on Psychological Well-Being, Perceived Quality of Life, and Health-Care Costs

This study is on the effects of spousal loss among older adults who continue to live independently after bereavement. Little longitudinal studies focus on this group, which is of special interest, since in many countries, care policy and system reform are aimed at increasing independent living among older adults. Using longitudinal data from a Dutch public data repository, we investigate the effects of spousal loss on psychological well-being, perceived quality of life, and (indication of) yearly health-care costs. Of the respondents who had a spouse and were living independently (N = 9,400) at baseline, the majority had not lost their spouse after 12 months (T12, n = 9,150), but 2.7% (n = 250) had lost their spouse and still lived independently. We compared both groups using multivariate regression (ordinary least squares) analyses. The results show that spousal loss significantly lowers scores on psychological well-being and perceived quality of life, but we found no effect on health-care costs.

Frailty Phenotypes and Relations With Surgical Outcomes: A Latent Class Analysis

BACKGROUND

Frailty is an important concept in the care of older adults although controversy remains regarding its defining features and clinical utility. Both the Fried phenotype and the Rockwood deficit accumulation approaches cast frailty as a "burden" without exploring the relative salience of its cardinal markers and their relevance to the patient. New multifactorial perspectives require a reliable assessment of frailty that can validly predict postoperative health outcomes.

METHODS

In a retrospective study of 2828 unselected surgical patients, we used item response theory to examine the ability of 32 heterogeneous markers capturing limitations in physical, functional, emotional, and social activity domains to indicate severity of frailty as a latent continuum. Eighteen markers efficiently indicated frailty severity and were then subject to latent class analysis to derive discrete phenotypes. Next, we validated the obtained frailty phenotypes against patient-reported 30-day postoperative outcomes using multivariable logistic regression. Models were adjusted for demographics, comorbidity, type and duration of surgery, and cigarette and alcohol consumption.

RESULTS

The 18 markers provided psychometric evidence of a single reliable continuum of frailty severity. Latent class analyses produced 3 distinct subtypes, based on patients' endorsement probabilities of the frailty indicators: not frail (49.7%), moderately frail (33.5%), and severely frail (16.7%). Unlike the moderate class, severely frail endorsed emotional health problems in addition to physical burdens and functional limitations. Models adjusting for age, sex, type of anesthesia, and intraoperative factors indicated that severely frail (odds ratio, 1.89; 95% confidence interval, 1.42-2.50) and moderately frail patients (odds ratio, 1.31; 95% confidence interval, 1.03-1.67) both had higher odds of experiencing postoperative complications compared to not frail patients. In a 3-way comparison, a higher proportion of severely frail patients (10.7%) reported poorer quality of life after surgery compared to moderately frail (9.2%) and not frail (8.3%) patients (P < .001). There was no significant difference among these groups in proportions reporting hospital readmission (5.6%, 5.1%, and 3.8%, respectively; P = .067).

CONCLUSIONS

Self-report frailty items can accurately discern 3 distinct phenotypes differing in composition and their relations with surgical outcomes. Systematically assessing a wider set of domains including limitations in functional, emotional, and social activities can inform clinicians on what precipitates loss of physiological reserve and profoundly influences patients' lives. This information can help guide the current discussion on frailty and add meaningful clinical tools to the surgical practice.

The metabolomics side of frailty: Toward personalized medicine for the aged

Frailty encompasses several domains (i.e., metabolic, physical, cognitive). The multisystem derangements underlying frailty pathophysiology, its phenotypic heterogeneity, and the fluctuations of individuals across severity states have hampered a comprehensive appraisal of the condition. Circulating biomarkers emerged as an alleged tool for capturing this complexity and, as proxies for organismal metabolic changes, may hold the advantages of: 1) supporting diagnosis, 2) tracking the progression, 3) assisting healthcare professionals in clinical and therapeutic decision-making, and 4) verifying the efficacy of an intervention before measurable clinical manifestations occur. Among available analytical tools, metabolomics are able to identify and quantify the (ideally) whole repertoire of small molecules in biological matrices (i.e., cells, tissues, and biological fluids). Results of metabolomics analysis may define the final output of genome-environment interactions at the individual level. This entire collection of metabolites is called "metabolome" and is highly dynamic. Here, we discuss how monitoring the dynamics of metabolic profiles may provide a read-out of the environmental and clinical disturbances affecting cell homeostasis in frailty-associated conditions.

Outcomes of hospital admissions among frail older people: a 2-year cohort study

Background

‘Frailty crises’ are a common cause of hospital admission among older people and there is significant focus on admission avoidance. However, identifying frailty before a crisis occurs is challenging, making it difficult to effectively target community services. Better longer-term outcome data are needed if services are to reflect the needs of the growing population of older people with frailty.

Aim

To determine long-term outcomes of older people discharged from hospital following short (<72 hours) and longer hospital admissions compared by frailty status.

Design and setting

Two populations aged ≥70 years discharged from hospital units: those following short ‘ambulatory’ admissions (<72 hours) and those following longer inpatient stays.

Method

Data for 2-year mortality and hospital use were compared using frailty measures derived from clinical and hospital data.

Results

Mortality after 2 years was increased for frail compared with non-frail individuals in both cohorts. Patients in the ambulatory cohort classified as frail had increased mortality (Rockwood hazard ratio 2.3 [95% confidence interval {CI} = 1.5 to 3.4]) and hospital use (Rockwood rate ratio 2.1 [95% CI = 1.7 to 2.6]) compared with those patients classified as non-frail.

Conclusion

Individuals with frailty who are discharged from hospital experience increased mortality and resource use, even after short ‘ambulatory’ admissions. This is an easily identifiable group that is at increased risk of poor outcomes. Health and social care systems might wish to examine their current care response for frail older people discharged from hospital. There may be value in a ‘secondary prevention’ approach to frailty crises targeting individuals who are discharged from hospital.

Cost-effectiveness of a proactive, integrated primary care approach for community-dwelling frail older persons

BACKGROUND

The article reports on the cost-effectiveness of the proactive, integrated primary care program Finding and Follow-up of Frail older persons (FFF) compared with usual primary care for community-dwelling frail older persons in the Netherlands.

METHODS

This study had a matched quasi-experimental design (pretest and posttest). The economic evaluation was performed from a healthcare perspective with a time horizon of 12 months. The target population consisted of community-dwelling frail older persons aged ≥ 75 years in the FFF intervention group (11 general practitioner (GP) practices) and in the control group receiving usual care (4 GP practices). The effectiveness measures for the cost-effectiveness and cost-utility analyses were subjective well-being (Social Production Function Instrument for the Level of well-being short; SPF-ILs) and QALYs (EuroQol; EQ-5D-3L), respectively. Costs were assessed using resource use questionnaires. Differences in mean effectiveness between groups were assessed using univariate, multilevel and propensity score matched analyses, with and without imputation of missing values. Differences in costs were assessed using Mann-Whitney U-tests and independent samples t-tests. Bootstrapping was performed, and predicted incremental cost-effectiveness ratios (ICERs) and incremental cost-utility ratios (ICURs) were depicted on cost-effectiveness planes.

RESULTS

The various analyses showed slightly different results with respect to differences in estimated costs and effects. Multilevel analyses showed a small but significant difference between the groups for well-being, in favor of the control group. No significant differences between groups in terms of QALYs were found. Imputed data showed that mean total costs were significantly higher in the intervention group at follow-up.

CONCLUSION

Proactive, integrated care for community-dwelling frail older persons as provided in the FFF program is most likely not a cost-effective initiative, compared with usual primary care in the Netherlands, in terms of well-being and QALYs over a 12-month period.

Evaluation of two frailty indices, with practical application in a vaccine clinical trial

Frail older adults are at increased risk of poor clinical outcomes. Frailty assessment is therefore important in clinical trials to understand the benefits and harms of interventions. However, consensus is lacking on how frailty should be assessed.We developed a prospectively specified index using a battery of formal tests and instruments and a retrospectively generated index using medical comorbidities and patient reported outcomes (PROs) within an adjuvanted recombinant zoster vaccine (RZV) trial (NCT02979639). For both frailty indices (FIs), a total deficit score was calculated as the accumulation of deficits and participants were categorized as non-frail, pre-frail and frail. We assessed (1) the feasibility and validity of both FIs; (2) the impact of RZV vaccine reactogenicity by frailty status on Short Form-36 [SF-36] physical functioning (PF) scores.Of 401 participants, aged ≥50 years, 236 (58.9%) were categorized non-frail, 143 (35.7%), pre-frail, and 22 (5.5%) frail using the prospective FI. Corresponding numbers for the retrospective FI were 192 (47.9%), 169 (42.1%) and 40 (10.0%), respectively. Strong concordance was observed between the frailty status assessments (P < .001). The proportion defined as frail increased from 1.5%, to 10.4% in participants aged 50-59, and ≥70 years, respectively, for the prospective FI. Corresponding numbers for the retrospective FI were 3.7%, and 17.2%, respectively. RZV vaccination was associated with a transient, non-clinically meaningful, decrease on the SF-36 PF score in frail participants.Both frailty indices provided similar results. The retrospectively generated FI offers the advantage of being easier to incorporate into vaccine clinical trials of older adults.

Identification of five frailty profiles in community-dwelling individuals aged 50-75: A latent class analysis of the SUCCEED survey data

OBJECTIVES

We sought to identify frailty profiles in individuals aged 50-75 by considering frailty as an unobservable latent variable in a latent class analysis (LCA).

STUDY DESIGN

589 prospectively enrolled community-dwelling individuals aged 50-75 (median: 61.7 years) had undergone a standardized, multidomain assessment in 2010-2015. Adverse health outcomes (non-accidental falls, fractures, unplanned hospitalizations, and death) that had occurred since the assessment were recorded in 2016-2017.

MAIN OUTCOME MEASURES

The LCA used nine indicators (unintentional weight loss, relative slowness, weakness, impaired balance, osteoporosis, impaired cognitive functions, executive dysfunction, depression, and hearing impairment) and three covariates (age, gender, and consultation for health complaints). The resulting profiles were characterized by the Fried phenotype and adverse health outcomes.

RESULTS

We identified five profiles: "fit" (LC1, 29.7% of the participants; median age: 59 years); "weight loss, relative slowness, and osteoporosis" (LC2, 33.2%; 63 years); "weakness and osteopenia" (LC3, 21.9%; 60 years); "impaired physical and executive functions" (LC4, 11%; 67 years); and "impaired balance, cognitive functions, and depression" (LC5, 4.3%; 70 years). Almost all members of LC3 and LC4 were female, and were more likely than members of other profiles to have a frail or pre-frail Fried phenotype. Non-accidental falls were significantly more frequent in LC4. LC5 (almost all males) had the highest number of comorbidities and cardiovascular risk factors but none was frail.

CONCLUSIONS

Our data-driven approach covered most geriatric assessment domains and identified five frailty profiles. With a view to tailoring interventions and prevention, frailty needs to be detected among young seniors.

Antimuscarinic drug therapy for overactive bladder syndrome in the elderly - are the concerns justified?

INTRODUCTION

The use of antimuscarinic drugs is common in the management of the overactive bladder (OAB). Concerns have been raised over their use in the elderly population in whom the use of these drugs is highly prevalent, consequent to the reported link between these drugs and cognitive impairment and dementia. Areas covered: Recent publications have heightened concerns regarding antimuscarinic drug use in the elderly. In this review, the author discusses the available evidence upon which conclusions have been based and has presented the need for cortical review and need for caution in interpreting the data. The available evidence is inconsistent, differences in pharmacokinetics have not been widely recognized in clinical trials, clinical estimation of antimuscarinic activity has not been standardized, and serum antimuscarinic activity has not been found to correlate with cognitive impairment. Furthermore, the significant heterogeneity within cognitive aging processes raises questions regarding the extent to which various factors, including medication, influences this process. Expert opinion: Whilst caution should indeed be exercised in the use of antimuscarinic medication in the elderly, advocacy of discontinuation of their use may deprive patients of the benefits of improved quality of life from treatment where currently alternative management remain limited or invasive.