Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China

Background and objectivesRecent research has identified neighborhoods as an important contributor to later-life frailty. However, little is known about how neighborhood resources are associated with frailty trajectories over time, especially in developing countries. This study examines the impact of neighborhood physical and social resources on the trajectories of frailty over time among older people in China.Research design and methodsUsing the four waves of the China Health and Retirement Longitudinal Study (2011–2018), 5673 respondents aged 60 and above at baseline were included for analyses. Multilevel growth modeling was fitted to estimate the effects of neighborhood resources on frailty trajectories over a 7-year period, controlling for individual-level characteristics.ResultsOlder Chinese people who lived in neighborhoods with better basic infrastructures and a greater number of voluntary organizations were less frail at baseline. Accessible exercise facilities were associated with a lower initial level of frailty only among rural older adults, while higher community-level socioeconomic status (SES) was associated with a lower initial level of frailty only among urban older adults. Over the 7-year follow-up period, better basic infrastructures and accessible exercise facilities were associated with a slower increase rate of frailty scores among rural residents.Discussion and implicationsNeighborhood resources are important contributors to the level of frailty among older Chinese people. Our findings of significant urban-rural differences have important implications for designing and implementing infrastructure development and community building programs in rural and urban China.     

Predicting loss of independence after high-risk gastrointestinal abdominal surgery: Frailty vs. NSQIP risk calculator

BackgroundLoss of independence (LOI) is a significant concern for patients undergoing high-risk abdominal surgery. Although the risk for morbidity and mortality has been well studied, there is a dearth of data on risk for LOI.MethodsThis study utilized NSQIP data from 2015 to 2018 in a retrospective cohort study of patients undergoing high-risk gastrointestinal surgery (e.g. gastric, colorectal, liver, and pancreatic).ResultsThe study included 229,573 patients who were preoperatively functionally independent. Of those, 5.3% experienced LOI. The median age for LOI patients was 74 (CI: 67–81), and 56% were female. The most common race was white (n = 9585), followed by African-American (n = 1223) and other (n = 369). The most common GI procedure was colorectal (65%), followed by the pancreas (23%), liver (8.2%), and gastric (3%). On univariate analysis, age, sex, BMI, race, frailty, and pancreatectomy were associated with LOI. On multivariate analysis age (≥85, OR 18.3 CI:16.9–19.9 p < 0.001), female sex (OR 1.24CI: 1.19–1.29 p < 0.001), BMI <18.5 (OR 1.66 CI:1.48–1.86 p < 0.001), BMI >40 (OR 1.43 CI:1.31–1.56 p < 0.001), African American race (OR 1.20 CI:1.12–1.28 p < 0.001), smoking (OR 1.21 CI:1.14–1.28 p < 0.001), frailty (MFI-5 > 2, OR 4.47 CI:2.63–7.31 p < 0.001), and pancreatectomy (OR 1.86 CI:1.74–1.98 p < 0.001) continued to be associated with LOI. To better define a predictive model, the NSQIP risk calculator was compared to the modified frailty index-5. AUC was 0.80 (CI: 0.797–0.805) and 0.76 (0.760–0.769), respectively.ConclusionLOI occurs in over five percent of patients undergoing high-risk abdominal surgery. LOI occurs more commonly after pancreatectomy or for those who are frail, underweight, or morbidly obese. Both frailty and the NSQIP risk calculator models similarly predicted LOI.     

Geriatric Assessment and Frailty Scores Predict Mortality in Myeloma: Systematic Review and Meta-analysis

The incidence of multiple myeloma is increasing as the proportion of older adults is growing rapidly. A critical evaluation of the evidence available is needed to guide the management of older patients with myeloma. A systematic review was conducted to report the prognostic value of geriatric assessment and frailty scores in older patients with multiple myeloma. We conducted a literature search in February and August 2018. Two researchers extracted the data and assessed the quality of the studies. Geriatric assessment and frailty scores were defined as those evaluating at least 2 geriatric domains. Main outcomes were mortality or toxicity. We estimated the pooled hazard ratios (HR) with 95% confidence intervals (CIs) using a random-effects model. We screened titles and abstracts of 1672 citations for eligibility. Seven studies were included in the qualitative analysis, of which 3 were included in the meta-analysis. Two studies reported similar risks of hematologic adverse events in intermediate-fit and in frail patients compared to frail, but a significantly increased risk of nonhematologic adverse events in frail patients compared to fit patients. In meta-analysis, a significantly increased HR for death was observed in patients with activity of daily living score ≤ 4 (pooled HR = 1.576; 95% CI, 1.051-2.102; χ² = 0.87; P = .647; I² = 0). Patients classified as frail showed higher risk of death than fit patients (pooled HR = 2.169; 95% CI, 1.002-2.336; χ² = 3.02; P = .221; I² = 33.7%). GA and frailty score are effective in predicting mortality in older adults with myeloma.     

Objective and subjective measures of the neighbourhood environment: Associations with frailty levels

ObjectivesThe aim of this study was to investigate whether perceptions of the neighbourhood environment (NE) and objective measures of the NE were associated with frailty in older adults.MethodsA cross-sectional study in Adelaide, Australia, recruited a sample of 115 community-dwelling adults aged ≥60 years. Respondents’ perceptions of their NEs were assessed using the Neighbourhood Environment Walkability Scale (NEWS). An objective assessment of these NEWS survey questions was conducted using seven variables: residential density, land use mix diversity, street connectivity, accessibility, seasonal persistent green cover, road crash density and crime rate. Frailty was evaluated using the FRAIL (fatigue, resistance, ambulation, illnesses and loss of weight) scale. Multivariable linear regression analyses were employed to assess the associations between NEWS and frailty, and to assess the associations between objective neighbourhood variables and frailty.ResultsFrail and pre-frail older adults were more likely to live in areas with lower residential density, lower density of road crashes, and higher accessibility than robust participants. Additionally, a poorer perception of the overall environment, worse land-use mix and accessibility and worse crime safety were associated with frailty and pre-frailty after adjustment of covariates and objective GIS variables.DiscussionNeighbourhood characteristics, both objective and perceived, are associated with frailty levels in older adults, and that strategies to tackle frailty must consider the impact of the neighbourhood environment.     

Biomarkers of ageing and frailty may predict COVID-19 severity

Coronavirus Disease 2019 (COVID-19) is caused by the novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) - the culprit of an ongoing pandemic responsible for the loss of over 3 million lives worldwide within a year and a half. While the majority of SARS-CoV-2 infected people develop no or mild symptoms, some become severely ill and may die from COVID-19-related complications. In this review, we compile and comment on a number of biomarkers that have been identified and are expected to enhance the detection, protection and treatment of individuals at high risk of developing severe illnesses, as well as enable the monitoring of COVID-19 prognosis and responsiveness to therapeutic interventions. Consistent with the emerging notion that the majority of COVID-19 deaths occur in older and frail individuals, we researched the scientific literature and report the identification of a subset of COVID-19 biomarkers indicative of increased vulnerability to developing severe COVID-19 in older and frail patients. Mechanistically, increased frailty results from reduced disease tolerance, a phenomenon aggravated by ageing and comorbidities. While biomarkers of ageing and frailty may predict COVID-19 severity, biomarkers of disease tolerance may predict resistance to COVID-19 with socio-economic factors such as access to adequate health care remaining as major non-biomolecular influencers of COVID-19 outcomes.     

Prevalence of multidimensional frailty and pre-frailty in older people in different settings: A systematic review and meta-analysis

Frailty is a common condition in older people. The epidemiological data available, however, are mainly based on the physical frailty phenotype. An extensive literature has suggested that frailty should be identified using a multidimensional approach. Based on these recommendations, we estimated the prevalence of frailty and pre-frailty in the older population, using the multidimensional prognostic index (MPI), a common tool for defining multidimensional frailty. We searched several databases until 10th May 2021 for studies reporting the prevalence of frailty according to MPI values. MPI was categorized, where possible, in < 0.33 (robustness), 0.33–0.66 (pre-frailty) and > 0.66 (frailty) or using a RECursive Partition and AMalgamation approach. A meta-analysis of the prevalence, with the correspondent 95% confidence intervals (CIs) of pre-frailty and frailty was performed stratified by setting (population-based, ambulatory, nursing home, and hospital). Among 177 papers initially screened, we included 57 studies for a total of 56,407 older people. The mean age was 78.6 years, with a slight prevalence of women (58%). The overall prevalence of multidimensional frailty (MPI-3) was 26.8% (95%CI: 22.1–31.5), being higher in nursing home setting (51.5%) and lower in population-based studies (13.3%). The prevalence of pre-frailty (MPI-2) was 36.4% (95%CI: 33.1–39.7), being higher in hospital setting (39.3%) and lower in nursing home (20%). In conclusion, frailty and pre-frailty, according to a multidimensional definition, are common in older people affecting, respectively, one person over four and one over three. Our work further strengths the importance of screening frailty in older people using a multidimensional approach.     

The state of frailty in research: A mapping review of its clinical applicability to practice

Research on frailty has expanded in the last decade, but direct evidence supporting its implementation in clinical practice may be limited. This mapping review synthesizes the contexts-of-use and overall clinical applicability of recent pre-COVID frailty research. We sampled 476 articles from articles published on frailty in PubMed and EMBASE in 2017–2018, of which 150 articles were fully appraised for the contexts-of-use, definitions, and interventions. A clinical applicability framework was used to classify articles as practice-changing, practice-informing, or not practice-informing. Of the 476 sampled articles, 31% (n = 150) used frailty in functions that could inform a clinical indication: predictor or mediator (26%, n = 125), selection criterion (3%, n = 15), and effect modifier (2%, n = 10). Articles spanned all health disciplines, and cohort studies comprised 91% (n = 137) of studies and trials 9% (n = 13). Thirty-eight frailty definitions using varied cut-offs and a wide range of interventions were identified. Among all articles, 13% (n = 63) of articles were practice-informing, 2% (n = 11) potentially practice-changing, and 0.2% (n = 1) clearly practice-changing. Lack of well-defined intervention and identifiable effect (96%) or originality (83%) were predominant reasons reducing applicability. Only a minority of recent frailty research provides direct evidence of applicability to practice. Future research on frailty should focus on translating frailty, as a risk factor, into a clinical indication and address definition ambiguity.     

COVID-19 mortality as a fingerprint of biological age

Corona virus disease 2019 (COVID-19) is a global emergency able to overwhelm the healthcare capacities worldwide and to affect the older generation especially. When addressing the pathophysiological mechanisms and clinical manifestations of COVID-19, it becomes evident that the disease targets pathways and domains affected by the main aging- and frailty-related pathophysiological changes. A closer analysis of the existing data supports a possible role of biological age rather than chronological age in the prognosis of COVID-19. There is a need for systematic, consequent action of identifying frail (not only older, not only multimorbid, not only symptomatic) persons at risk of poor outcomes.     

Early diagnosis of frailty: Technological and non-intrusive devices for clinical detection

This work analyses different concepts for frailty diagnosis based on affordable standard technology such as smartphones or wearable devices. The goal is to provide ideas that go beyond classical diagnostic tools such as magnetic resonance imaging or tomography, thus changing the paradigm; enabling the detection of frailty without expensive facilities, in an ecological way for both patients and medical staff and even with continuous monitoring. Fried's five-point phenotype model of frailty along with a model based on trials and several classical physical tests were used for device classification. This work provides a starting point for future researchers who will have to try to bridge the gap separating elderly people from technology and medical tests in order to provide feasible, accurate and affordable tools for frailty monitoring for a wide range of users.