Development Of Frailty Research Articles

The Impact of SGLT1 Inhibition on Frailty and Sarcopenia: A Mediation Mendelian Randomization Study.

Although pharmacological effects of SGLT2 inhibitors on the development of frailty and sarcopenia were known, the role of SGLT1 remained less clear. The present study investigated the possible effect of SGLT1 inhibition on these conditions and explored potential mediators. A two-sample Mendelian randomization (MR) analysis was performed to assess the effect of SGLT1 inhibition on frailty index (FI) and low grip strength in individuals aged 60 years and older using both the FNIH and EWGSOP criteria. Subsequently, a two-step MR analysis was conducted to investigate the mediating role of insulin resistance phenotype and identify potential mediators of the effect of SGLT1 inhibition on the FI and low grip strength from 1558 plasma proteins and 1352 metabolites. Genetically predicted SGLT1 inhibition was associated with decreased FI (β: -0.290 [95% CI: -0.399, -0.181]) and reduced risk of low grip strength in individuals aged 60 years and older under both FNIH (β: -0.796 [95% CI: -1.216, -0.376]) and EWGSOP criteria (β: -0.287 [95% CI: -0.532, -0.041]). The two-step MR analysis demonstrated the role of insulin resistance phenotype in mediating SGTL1 inhibition on alleviating frailty (mediation proportion = 19.56% [95% CI: 8.42%, 30.70%]). After screening, 24 proteins and 16 metabolites were identified as mediators of the impact of SGLT1 inhibition on FI. Additionally, 13 proteins and 16 metabolites were found to mediate the effect of SGLT1 inhibition on low grip strength according to FNIH criteria while 22 proteins and 6 metabolites were shown to mediate the impact of SGLT1 inhibition on low grip strength under EWGSOP criteria. SGLT1 inhibition potentially mitigated frailty and sarcopenia through several biological mediators, shedding new light for therapeutic intervention.

Limited critical and communicative health literacy is related to poorer health among older adults

Abstract Background Health literacy-related challenges are expected to increase with age due to a discrepancy between individual capacity and health care demands. Knowledge about associations between health literacy and age-related health outcomes among older adults is scarce. This is important to address and promote optimal health in older adults. The study aims to investigate the association between health literacy and health status among older adults and explore differences between the younger old and the oldest old adults. Methods Cross-sectional study using SWEOLD population-based data from 2022, a national representative sample of people 77+ years in Sweden. Univariate and multivariate logistic regression analysis assessed associations between communicative- and critical health literacy and health outcomes. Models were adjusted for age, sex, and socioeconomic status, and stratified by age. Results Significant adjusted associations were found between inadequate and problematic health literacy and less than good self-rated health (OR 2.64, 95%CI: 1.61-4.33; 2.11, 95%CI: 1.40.3.17), and requiring assistance with medicine management (OR 5.26, 95%CI: 2.67-10.38, 2.14, 95%CI 1.08-4.22). Among the younger old (77-84 years) inadequate and problematic HL was associated with having lifestyle-related conditions (OR 1.77, 95%CI: 1.07-2.93, 2.75, 95%CI: 1.33-2.71). Among the oldest old (85+), inadequate health literacy was associated with higher likelihood of poor activities of daily living (ADL) (OR 4.48, 95%CI: 1.99-10.07) and frailty (OR 3.51, 95%CI: 1.43-8.47). Level of frailty increases earlier in age for individuals with limited HL than among those with sufficient HL. Conclusions Limited health literacy is a prevalent issue in the older population and is associated with negative health-related outcomes. To mitigate development of poor health and frailty and to promote healthy ageing, care organisations need to meet the needs of this population in a health literacy friendly way. Key messages • Limited health literacy among the older population is associated with several negative health-related outcomes. • Care organisations need to work actively to mitigate the development of poor health while promoting healthy aging among the older population in a health literacy-friendly and age sensitive manner.

DNA polymorphisms in inflammatory and endocrine signals linked to frailty are also associated with obesity: data from the FRASNET cohort.

Obesity and frailty are prevalent geriatric conditions that share some pathophysiological mechanisms and are associated with adverse clinical outcomes. The relationship between frailty, obesity, and polymorphism remains inadequately explored. Single nucleotide polymorphisms (SNPs) offer insights into genetic predispositions that may influence the development of both frailty and obesity. We aimed at investigating whether SNPs associated with frailty also play a role in obesity. Data were collected from the FRASNET cross-sectional study, which included community-dwelling older individuals residing in Milan and nearby areas. Participants were recruited through random sampling. They underwent multidimensional geriatric assessments, which included the collection of blood samples for SNP analysis. Frailty was assessed using the frailty index, and body composition was evaluated using bioelectrical impedance analysis and anthropometric measures. SNPs related to frailty and linked to the renin-angiotensin system (CYP11B2 rs1799998, AGT rs5051, and AGTR1 rs2131127), apoptosis pathways (CASP8 rs6747918), growth hormone signaling (GHR rs6180), inflammation (TLR4 rs5030717, CD33 rs3865444, and FN1 rs7567647), adducin (ADD3 rs3731566), and the 9p21-23 region (rs518054) were found to be associated with various measures of obesity in community-dwelling older adults. Frailty-related SNPs contribute to obesity in community-dwelling older adults. We identified a novel association between adducin SNPs and visceral fat, which has not been previously reported. Detecting genetic predispositions to obesity and frailty early could aid in identifying individuals at risk, facilitating the adoption of preventive interventions. This represents an initial step toward promoting early intervention strategies.

Research Progress on the Correlation Between Oral Frailty and Dietary Intake in Older Adults

With the increase in age, the oral function of older adults shows an age-related decline, which limits the types, quantity, and quality of their diet. Limited dietary intake can lead to a lack of basic nutrients needed for maintaining oral health, induce a series of oral diseases, and further aggravate the deterioration of oral functions. Oral frailty is the accumulation of mild oral function decline and is an emerging concept in the field of oral health. Currently, research on oral frailty and dietary intake mostly focuses on the impact of single-dimensional oral function decline on the dietary intake, dietary structure, and dietary satisfaction of older adults, as well as the impact of different dietary structures on the status of oral health among older adults. There is still a lack of large-sample, high-quality research on the relationship between comprehensive oral function decline and dietary intake. In addition, existing oral frailty intervention measures often place a narrow emphasis on the exercise and recovery of oral function without considering the impact of dietary intake and nutritional status on the development of oral frailty. Relevant research on taking dietary intake as an entry point or using it as a comprehensive intervention method also needs to be further explored by researchers. In the future, specialized assessment and screening of dietary status may be introduced in the routine health management practices for older adults. Furthermore, targeted intervention programs could also be proposed based on the characteristics of the oral status and the dietary intake habits of older adults, so as to prevent the functional decline related to dietary intake and nutritional supplementation. Herein, we reviewed the correlation between dietary intake and oral frailty to provide new ideas and directions for formulating comprehensive management strategies for oral frailty.

Role of FIRE-MADE FI for diagnosing frailty in central rural India and its comparison with LASA FI.

An aging population ultimately has deprived physiological stores making them vulnerable for development of a syndrome called frailty, which presents with a cumulative decrease in tolerance, immunity, vision, balance, organ functions, health, and independent living. All these result in rising prevalence of frailty and its components, along with burden of disease, dependence, and health care cost. Thus, early estimation and assessment and interventions to correct it mark the mile stone in geriatric medicine. The present study was conducted with an aim to compare and correlate FIRE-MADE (Frailty Index in Rural Elderly - Mental status, Activities of daily living, Depression, and Events) FI (frailty index) with LASA (Longitudinal Aging Study Amsterdam) FI in central rural India's geriatric population. A cross-sectional study for assessment of frailty in the geriatric population of central rural India, reporting to the medicine department of a tertiary hospital, situated at Wardha district, by using FIRE-MADE and LASA FI was undertaken. Their scores were compared. The efficiency of FIRE-MADE FI in comparison with LASA FI was calculated. A frailty threshold of ≥ 0.25 is considered for diagnosing frailty. Standard descriptive and inferential statistics were used to evaluate all parametric and non-parametric data. Out of 250 geriatric people, 224 (89.6%) were frail according to LASA FI and 204 (81.6%) were frail according to FIRE-MADE FI. As compared to LASA FI, FIRE-MADE FI was 91.07% sensitive and 73.08% specific, with a positive predictive value of 96.68% and a diagnostic accuracy of 89.20%. The Indian rural population of central India has high prevalence of frailty. FIRE-MADE FI can be used as a potential, effective, and validated tool for early diagnosing and management of frailty. Among the parameters of FIRE-MADE FI, IHD was the most important contributing factor for development of frailty, followed by cognitive impairment, polypharmacy, and remaining factors mentioned in FIRE-MADE FI.

Frailty detection with routine blood tests using data from the english longitudinal study of ageing (ELSA).

Frailty is a rising global health issue in ageing society. Easily accessible and sensitive tools are needed for frailty monitoring while routine blood factors can be potential candidates. Data from 1907 participants (aged 60years or above) were collected from the 4th to 9th wave of the English longitudinal study of ageing. 14 blood factors obtained from blood tests were included in the analysis. A 52-item frailty index (FI) was calculated for frailty evaluation. Logistic regression and Cox proportional hazards analysis were used to explore the relationships between baseline blood factors and the incidence of frailty over time respectively. All analyses were controlled for age and sex. The mean age of participants was 67.3years and 47.2% of them were male. Our study identified that 8 blood factors (mean corpuscular haemoglobin, HDL, triglyceride, ferritin, hsCRP, dehydroepiandrosterone, haemoglobin, and WBC) involved in inflammatory, nutritional and metabolic processes were associated with frailty. The combined model with these 8 blood factors had an AUC of 0.758 at cross-sectional level. In the Cox proportional hazards analysis, higher triglyceride (HR: 1.30, 95%CI: 1.07 ~ 1.59), WBC (HR: 1.16, 95%CI: 1.05 ~ 1.28), and lower HDL (HR: 0.58, 95%CI: 0.38 ~ 0.90) at baseline were linked to greater risk of developing frailty within 10years. Compared to adults without abnormal blood factors at baseline, the hazard ratios of participants with two or more abnormal blood factors were almost twofold higher in developing frailty over time. Routine blood factors, particularly triglyceride, HDL and WBC, could be used for frailty screening in clinical practice and estimate the development of frailty over time.

Measuring Social Frailty: A Scoping Review of Available Scales and Tools.

Social frailty is an emerging concept characterized by state of vulnerability due to the lack or absence of social resources that enable health and well-being, particularly among older people. However, there is no consensus on how to accurately measure and assess social frailty, given the broad coverage of social dimensions affecting older individuals. This scoping review aimed to identify the existing tools and scales used to measure social frailty in older people. A scoping review methodology was employed. Articles published between January 2014 and April 2024 were searched in 6 electronic databases: PubMed, PsycINFO, ProQuest, Scopus, SocIndex, and CINAHL. The scoping review followed a 5-stage process by Arksey and O'Malley and adhered to the guidelines provided by Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Nine social frailty tools were identified across the 58 papers included in this review. The individual question item commonly used in the scales were classified into main categories based on their conceptual characteristics and intentions. The most common individual questionnaire constructs used to measure social frailty included financial status, social resources, social behaviors and activities, and sense of purpose. The reviewed tools varied in terms of their robustness and the process of scale development. Our review suggested the development of a standardized, psychometrically tested, and accurate screening tool to screen social frailty status. An accurate social frailty assessment can inform the development of useful interventions, which also has implications in preventing the development of physical frailty.

In-Shoe Sensor Measures of Loading Asymmetry during Gait as a Predictor of Frailty Development in Community-Dwelling Older Adults.

Clinical walk tests may not predict the development of frailty in healthy older adults. With advancements in wearable technology, it may be possible to predict the development of frailty using loading asymmetry parameters during clinical walk tests. This prospective cohort study aimed to test the hypothesis that increased limb loading asymmetry predicts frailty risk in community-living older adults. Sixty-three independently ambulant community-living adults aged ≥ 65 years were recruited, and forty-seven subjects completed the ten-month follow-up after baseline. Loading asymmetry index of net and regional (forefoot, midfoot, and rearfoot) plantar forces were collected using force sensing insoles during a 10 m walk test with their maximum speed. Development of frailty was defined if the participant progressed from baseline at least one grading group of frailty at the follow-up period using the Kihon Checklist. Fourteen subjects developed frailty during the follow-up period. Increased risk of frailty was associated with each 1% increase in loading asymmetry of net impulse (Odds ratio 1.153, 95%CI 1.001 to 1.329). Net impulse asymmetry significantly correlated with asymmetry of peak force in midfoot force. These results indicate the feasibility of measuring plantar forces of gait during clinical walking tests and underscore the potential of using load asymmetry as a tool to augment frailty risk assessment in community-dwelling older adults.

The investigation of frailty level and factors affecting frailty in older adults with osteoarthritis; a cross-sectional study on Turkish population

Aims: This study aims to evaluate the fragility level, fall risks and factors affecting both conditions of individuals with OA aged 60 and over living in an underdeveloped province. Methods: The research sample consists of 260 individuals over the age of 60 who were diagnosed with osteoarthritis. The frailty of the participants was measured. Their functional mobility and risk of falling were measured. Results: The prevalence of frailty and pre-frailty was found to be 82%. It was revealed that frailty is not always affected by the severity of osteoarthritis and the progression of age. In addition, it was found that factors such as stage IV osteoarthritis and being frail or pre-frail increase the risk of falling. The stage of osteoartritis, education level, lifestyle, and risk of falling explained 24% of the variance in the frailty variable. Having an unhealthy lifestyle increases frailty 20 times; lowincome level increases frailty eight times; and each increase in education level affects frailty at most four times negatively. Conclusion: Psychological rehabilitation and social support may negatively affect the development of frailty in individuals aged 60 years and older. Frail older women with severe OA are more vulnerable to falls.

Development and validation of a machine learning-based model for post-sepsis frailty.

The development of post-sepsis frailty is a common and significant problem, but it is a challenge to predict. Data for deep learning were extracted from a national multicentre prospective observational cohort of patients with sepsis in Korea between September 2019 and December 2021. The primary outcome was frailty at survival discharge, defined as a clinical frailty score on the Clinical Frailty Scale ≥5. We developed a deep learning model for predicting frailty after sepsis by 10 variables routinely collected at the recognition of sepsis. With cross-validation, we trained and tuned six machine learning models, including four conventional and two neural network models. Moreover, we computed the importance of each predictor variable in the model. We measured the performance of these models using a temporal validation data set. A total of 8518 patients were included in the analysis; 5463 (64.1%) were frail, and 3055 (35.9%) were non-frail at discharge. The Extreme Gradient Boosting (XGB) achieved the highest area under the receiver operating characteristic curve (AUC) (0.8175) and accuracy (0.7414). To confirm the generalisation performance of artificial intelligence in predicting frailty at discharge, we conducted external validation with the COVID-19 data set. The XGB still showed a good performance with an AUC of 0.7668. The machine learning model could predict frailty despite the disparity in data distribution. The machine learning-based model developed for predicting frailty after sepsis achieved high performance with limited baseline clinical parameters.

Status and influencing factors of frailty in hospitalized patients with chronic heart failure: A cross-sectional study.

To investigate the frailty status of inpatients with chronic heart failure (CHF) and analyse its influencing factors, so as to provide evidence for the early identification of high-risk groups and frailty management. Early identification of frailty can guide the development and implementation of holistic and individualized treatment plans. However, at present, the frailty of patients with CHF has not attracted enough attention. A cross-sectional study. From June 2022 to June 2023, a convenience sample of 256 participants were recruited at a hospital in China. Multivariate logistic regression analysis was used to explore the influencing factors of frailty in patients with CHF, and an ROC curve was drawn to determine the cut-off values for each influencing factor. STROBE checklist guides the reporting of the manuscript. A total of 270 questionnaires were sent out during the survey, and 256 valid questionnaires were ultimately recovered, resulting in an effective recovery rate of 94.8%. The incidence of frailty in hospitalized patients with CHF was 68.75%. Multivariable logistic regression analysis showed that age, self-care ability, nutritional risk, Kinesiophobia and NT-proBNP were risk factors for frailty, while albumin and LVEF were protective factors. Multidimensional frailty was prevalent in hospitalized patients with CHF. Medical staff should take measures as early as possible from the aspects of exercise, nutrition, psychology and disease to delay the occurrence and development of frailty and reduce the occurrence of clinical adverse events caused by frailty. This study emphasizes the importance of the early identification of multidimensional frailty and measures can be taken to delay the occurrence and development of frailty through exercise, nutrition, psychology and disease treatment. Patients contributed through sharing their information required for the case report form and filling out questionnaires.

Nocturia and frailty in older adults: a scoping review

BackgroundMore than one in two older people wake up several times a night to urinate. Far from being a minor inconvenience, nocturia is associated with poor health outcomes. Given the importance of sleep as a foundation for resilience and healthy ageing, nocturia may promote the development of frailty, which is inextricably linked to physical decline, disability, and mortality.The aim of this scoping review was to collate published evidence on the relationship between nocturia and frailty, using the methodological framework of Arksey and O'Malley, together with the Joanna Briggs Institute methodology as guidance (OSF registration: osf.io/d5ct7).MethodsRelevant publications were retrieved via PubMed, Embase, the Cochrane Library and Google Scholar. The Rayyan tool was used to facilitate the screening process. Data were extracted by two independent reviewers. 250 publications were initially identified, of which 87 met the eligibility criteria.ResultsMost of the evidence came from cross-sectional studies, most of which had been published within the last 5 years. The researchers were diverse, with 27% having a geriatric background. Only few publications established a clear association between nocturia and frailty. Other topics included: the association between nocturia and poor sleep quality and duration; the association between sleep and frailty; the association between frailty, multimorbidity, and age-related changes in the lower urinary tract.Conclusion The findings emphasize the increasing interest and interdisciplinary nature of research into the relationship between frailty, nocturia, lower urinary tract symptoms, and sleep disturbances. Further research is required to enhance understanding, establish causality, and identify potential therapeutic approaches.

Association between milk consumption in middle age and frailty in later life: The Aichi Workers' cohort study.

Several studies have shown that dairy consumption in old age is effective in preventing frailty. However, there is a lack of evidence regarding the association between milk consumption during middle age and the development of frailty in old age. Therefore, we carried out an investigation to explore the association between milk consumption during middle age and development of frailty examined after over 15 years of follow up in a long-term cohort study in Japan. We studied 265 participants aged 60-79 years (212 men and 53 women) in 2018, who participated in both the baseline survey in 2002 and the frailty assessment in 2018. The amount of milk consumption (g/day) at baseline was age- and energy-adjusted, and classified into three categories (no, low and high consumption: 0 g/day, ≤135.86 g/day, >135.86 g/day in men and 0 g/day, ≤126.44 g/day, >126.44 g/day in women). Odds ratios (OR) and 95% confidence intervals (CI) for prefrailty/frailty after adjusting for lifestyles at baseline, stratified by sex, were estimated using logistic regression analysis. The prevalence of prefrailty/frailty in 2018 was 37.7% and 28.3% in men and women, respectively. Milk consumption categories were inversely associated with the prevalence of prefrailty/frailty in men (OR 0.34, 95% CI 0.14-0.84 in low consumption; OR 0.31, 95% CI 0.10-0.95 in high consumption; P < 0.05), but not in women (OR 0.53, 95% CI 0.11-2.65; P = 0.44). In this study, milk intake in middle-aged men was inversely associated with the prevalence of prefrailty/frailty later in life. Geriatr Gerontol Int 2024; 24: 700-705.

Associations between peak expiratory flow and frailty in olderly individuals: findings from the China health and retirement longitudinal study.

Peak Expiratory Flow (PEF) is associated with a variety of adverse health outcomes in older adults; however, the relationship between PEF and frailty remains uncertain, and this study investigated the relationship between PEF and frailty within an olderly Asian demographic. Data were sourced from the Chinese Health and Retirement Longitudinal Study (CHARLS). Individuals in the study, all 60 years or older, underwent baseline PEF assessments quantified as standardized residual (SR) percentile values. The evaluation of frailty was conducted based on the criteria established by Fried. Participants without frailty at the outset were tracked over a four-year period, during which the relationships between PEF and frailty were examined through logistic regression and discrete-time Cox regression analyses. Among 5,060 participants, cross-sectional analysis revealed that the prevalence of frailty was 2-3 times higher in the lower 10-49th and < 10th SR percentile groups compared to the 80-100th SR percentile group. The longitudinal study corroborated these results, showing an adjusted hazard ratio (HR) of 2.01 (95% CI, 1.15-3.51) for PEF SR percentiles below the 10th, in contrast to those between the 80th and 100th percentiles. PEF independently predicts and determines frailty in older adults. Declines in PEF greater than expected are associated with the development of frailty. Subsequent studies are encouraged to delve deeper into the connection between respiratory function and frailty in diverse contexts.

Causal relationship between neuroticism and frailty: A bidirectional Mendelian randomization study

BackgroundObservational studies have shown that neuroticism is associated with frailty, but the causal relationship between them remains unclear. MethodsA two-sample Mendelian randomization (MR) study was conducted to explore the bidirectional causal relationship between neuroticism (n = 380,506 for the primary analysis, n = 79,004 for the validation) and frailty (n = 175,226) using publicly available genome-wide association study data. The inverse variance weighted (IVW), weighted median, and MR-Egger were used to obtain the causal estimates. Findings were verified through extensive sensitivity analyses and validated using another dataset. Multivariable MR (MVMR) analysis was performed to estimate the direct causal effects with adjustment of potential confounders. Two-step MR technique was then conducted to explore the mediators in the causal effects of neuroticism on frailty. ResultsGenetically-predicted higher neuroticism score was significantly correlated with higher frailty index (IVW beta: 0.53, 95%CI: 0.48 to 0.59, P = 9.3E-83), and genetically-determined higher frailty index was significantly associated with higher neuroticism score (IVW beta: 0.28, 95%CI: 0.21 to 0.35, P = 1.3E-16). These results remained robust across sensitivity analyses and were reproducible using another dataset. The MVMR analysis indicated that the causal relationships remained significant after adjusting for the potential confounding factors. Mediation analysis revealed that depression, years of schooling, and smoking were significantly mediated the causal effects of neuroticism on frailty. ConclusionsA bidirectional causal relationship existed between neuroticism and frailty. Our findings suggested that early intervention and behavioral changes might be helpful to reduce the neuroticism levels and prevent the development of frailty.

Uncovering sarcopenia and frailty in older adults by using muscle ultrasound-A narrative review.

Muscle ultrasound is a valuable non-invasive and cost-effective method in assessing muscle mass and structure, both of which are significant indicators for the development of sarcopenia and frailty in elderly individuals. Sarcopenia refers to the loss of muscle mass and strength that occurs with age, whereas frailty is a complex geriatric syndrome characterized by reduced physical function and an increased susceptibility to negative health outcomes. Both conditions are prevalent in older adults and are associated with higher risks of falls, disability, and mortality. By measuring muscle size and structure and several other ultrasound parameters, including muscle thickness, cross-sectional area, echogenicity (brightness in the ultrasound image), pennation angle, and fascicle length ultrasound can assist in identifying sarcopenia and frailty in older adults. In addition, ultrasound can be used to evaluate muscle function such as muscle contraction and stiffness, which may also be affected in sarcopenia and frailty. Therefore, muscle ultrasound could lead to better identification and tracking of sarcopenia and frailty. Such advancements could result in the implementation of earlier interventions to prevent or treat these conditions, resulting in an overall improvement in the health and quality of life of the elderly population. This narrative review describes the benefits and challenges when using ultra-sound for the evaluation of frailty and sarcopenia.

POSITIVE: experiences of an intervention aiming for reversing and preventing frailty using a home monitoring and communication platform within primary health care.

Frailty is increasing worldwide as the population ages. Physical activity is one component that has been shown to hinder and even reverse the process. The POSITIVE system (i.e., maintaining and imPrOving the intrinSIc capaciTy Involving primary care and caregiVErs) is a prevention program that consists of home-monitoring equipment and a communication platform to support the initial treatment of frailty symptoms in primary health care. The participants, older aged (+ 70) frail persons and those at risk for frailty, took part in the program that promoted physical activity at home for six months. The aim was to explore and describe older persons' experiences of participating in a new prevention program using the POSITIVE system including technological tools intended to prevent the development of frailty. Nine interviews were conducted about experiences of participating in an intervention including use of technological tools to support physical activity. Qualitative content analysis was applied. Two themes revealed: (1) Perceptions of being old are seldom positive, and (2) A rewarding and fruitful participation in the project with suggestions for improvement. Becoming older was related to physical pain and tiredness reducing the performance of former meaningful activities as well as an increase in mental stress. There was also a tendency to postpone the start of everyday activities, and in general, fewer activities were planned for one day than at younger ages. Participating in a physical activity intervention, including the use of technical tools, was considered meaningful and added motivation for engaging in other physical activities, this despite some difficulties with technical tools provided by the program. The contact with health care and the research team was appreciated. In addition, contact with other participants was requested and reported to be highly valued if added to the intervention, which could have been an expression of loneliness. Participation in a prevention program motivated activities and social interaction. Adding opportunities for participants to meet each other is suggested for improving the intervention in terms of increasing the social dimensions. Our findings conclude that despite difficulties with handling the technical tools for the home-monitoring and communication platform, participation in the POSITIVE intervention was in general a positive experience.

Neuroimaging and plasma evidence of early white matter loss in Parkinson's disease with poor outcomes.

Parkinson's disease is a common and debilitating neurodegenerative disorder, with over half of patients progressing to postural instability, dementia or death within 10 years of diagnosis. However, the onset and rate of progression to poor outcomes is highly variable, underpinned by heterogeneity in underlying pathological processes. Quantitative and sensitive measures predicting poor outcomes will be critical for targeted treatment, but most studies to date have been limited to a single modality or assessed patients with established cognitive impairment. Here, we used multimodal neuroimaging and plasma measures in 98 patients with Parkinson's disease and 28 age-matched controls followed up over 3 years. We examined: grey matter (cortical thickness and subcortical volume), white matter (fibre cross-section, a measure of macrostructure; and fibre density, a measure of microstructure) at whole-brain and tract level; structural and functional connectivity; and plasma levels of neurofilament light chain and phosphorylated tau 181. We evaluated relationships with subsequent poor outcomes, defined as development of mild cognitive impairment, dementia, frailty or death at any time during follow-up, in people with Parkinson's disease. We show that extensive white matter macrostructural changes are already evident at baseline assessment in people with Parkinson's disease who progress to poor outcomes (n = 31): with up to 19% reduction in fibre cross-section in multiple tracts, and a subnetwork of reduced structural connectivity strength, particularly involving connections between right frontoparietal and left frontal, right frontoparietal and left parietal and right temporo-occipital and left parietal modules. In contrast, grey matter volumes and functional connectivity were preserved in people with Parkinson's disease with poor outcomes. Neurofilament light chain, but not phosphorylated tau 181 levels were increased in people with Parkinson's disease with poor outcomes, and correlated with white matter loss. These findings suggest that imaging sensitive to white matter macrostructure and plasma neurofilament light chain may be useful early markers of poor outcomes in Parkinson's disease. As new targeted treatments for neurodegenerative disease are emerging, these measures show important potential to aid patient selection for treatment and improve stratification for clinical trials.

Pathogenetic and Clinical Relationships between Chronic Obstructive Pulmonary Disease, Sarcopenia and Frailty

The impact of aging and geriatric syndromes on chronic obstructive pulmonary disease, a complex, chronic inflammatory condition, is a subject of significant interest in aging medicine. Understanding the key pathogenic mechanisms that combine the aging process and chronic obstructive pulmonary disease can help rethink therapeutic concepts in patients with the described comorbidity and be considered the basis of new directions for preventive measures.The purpose of the review is to update data from open access scientific sources on the pathogenetic mechanisms and clinical relationships of chronic obstructive pulmonary disease, sarcopenia, and frailty.Methods. Foreign and domestic scientific publications on this topic over the past 15 years were analyzed using electronic libraries PubMed/MedLine, Elsevier, elibrary.Conclusion. An extensive examination of current scientific data was carried out to determine the pathogenetic connections between chronic obstructive pulmonary disease and the aging process, along with the prominent geriatric conditions of sarcopenia and frailty. A significant amount of information has been accumulated indicating deterioration in the clinical manifestations and prognosis of older patients with a combination of the described pathologies; therefore, the relevance of further study of these comorbidities remains. The cause-and-effect relationship of these clinical manifestations remains not entirely clear: chronic obstructive pulmonary disease leads to the development of sarcopenia and frailty, or these geriatric syndromes only accompany chronic obstructive pulmonary disease, as a disease that manifests itself most frequently in advanced age. There is significant interest in developing therapeutic strategies to improve the clinical outcomes of older patients with a combination of chronic obstructive pulmonary disease, frailty and sarcopenia.

Developing and validating machine learning-based prediction models for frailty occurrence in those with chronic obstructive pulmonary disease.

Frailty is a medical syndrome caused by multiple factors, characterized by decreased strength, endurance, and diminished physiological function, resulting in increased susceptibility to dependence and/or death. Patients with chronic obstructive pulmonary disease (COPD) tend to be more vulnerable to frailty due to their physical and psychological burdens. Therefore, the aim of this study was to develop a reliable and accurate vulnerability risk prediction model for frailty in patients with COPD in order to improve the identification and prediction of patient frailty. The specific objectives of this study were to determine the prevalence of frailty in patients with COPD and develop a prediction model and evaluate its predictive power. Clinical information was analyzed using data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) database, and 34 indicators, including behavioral factors, health status, mental health parameters, and various sociodemographic variables, were examined in the study. The adaptive synthetic sampling technique was used for unbalanced data. Three methods, ridge regressor, extreme gradient boosting (XGBoost) classifier, and random forest (RF) regressor, were used to filter predictors. Seven machine learning (ML) techniques including logistic regression (LR), support vector machines (SVM), multilayer perceptron, light gradient-boosting machine, XGBoost, RF, and K-nearest neighbors were used to analyze and determine the optimal model. For customized risk assessment, an online predictive risk modeling website was created, along with Shapley additive explanation (SHAP) interpretations. Depression, smoking, gender, social activities, dyslipidemia, asthma, and residence type (urban vs. rural) were predictors for the development of frailty in patients with COPD. In the test set, the XGBoost model had an area under the curve of 0.942 (95% confidence interval: 0.925-0.959), an accuracy of 0.915, a sensitivity of 0.873, and a specificity of 0.911, indicating that it was the best model. The ML predictive model developed in this study is a useful and easy-to-use instrument for assessing the vulnerability risk of patients with COPD and may aid clinical physicians in screening high-risk patients.