Risk Factors For Frailty Research Articles

Epidemiology and risk factors of oral frailty among older people: an observational study from China

ObjectivesThis study aimed to compare the prevalence of oral frailty among community-dwelling older people in Nanjing, China with the usage of different measurements, and to investigate the potential risk factors of oral frailty.DesignCross-sectional study.Setting and participantsA total of 338 community-dwelling older people in Nanjing, China were recruited.MethodsOral frailty was measured based on the Oral Frailty Index-8 (OFI-8) scale and other measurement methods including the number of natural teeth (TN), repetitive saliva-swallowing test (RSST), and oral diadochokinesis (ODK). The chi-square test and the binary logistic regression analysis were performed to identify potential risk factors for oral frailty.ResultsThere were 310 participants included in the analysis. Prevalence of oral frailty by using the OFI-8, OFI-8 + TN, OFI-8 + ODK, OFI-8 + TN + ODK and RSST measurement methods were 69.0%, 27.4%, 51.9%, 21.0% and 2.9%, respectively. Passive smoking (OR = 2.04; 95%CI 1.03–4.03), being widowed/unmarried (OR1 = 2.53; 95%CI 1.25–5.10; OR2 = 2.94; 95%CI 1.12–7.77), pre-frailty (OR = 1.76; 95%CI 1.03–3.01), frailty (OR = 3.01; 95%CI 1.39–6.54), and aged 80 years and above (OR = 3.99; 95%CI 1.35–11.81) were found to be risk factors of oral frailty by the usage of the four kinds of measurement methods.Conclusions and implicationsThe definition and diagnostic criteria of oral frailty are strongly needed to be unified in future research. Only subjective assessment is not enough for assessing oral frailty. Among objective indicators, RSST is not suitable as a screening method for oral frailty. In addition, objective indicators including TN and ODK should be valued for early screening and preventive interventions. The risk factors of oral frailty include physical frailty, passive smoking, and being widowed.

Removable dental prostheses and difficulties with chewing among frail individuals: Results from the Swiss SAPALDIA cohort.

Oral healthcare among the frail is an underestimated geriatric care element. While neglected oral health (OH) is a well-established risk factor for frailty, frailty can be a risk factor for subsequent OH problems. The cross-sectional investigation nested into the SAPALDIA sub-cohort of citizens aged 52 years and older, aims to stimulate longitudinal research into aspects that accelerate poor OH among frail individuals. The hypothesis investigated was that (pre-) frail individuals are more likely to have missing teeth replaced with removable dental prostheses (RDP) resulting in difficulties with chewing. The study included 1489 participants undergoing geriatric assessments and oral examination. The main predictor was frailty status (non-frail; pre-frail; frail), based on Fried's frailty phenotype. The main outcomes of interest were non-functional dentition (presence of ≤ 19 natural teeth), presence of any RDP and self-reported difficulties with chewing. Pre-frailty and frailty were not associated with the presence of ≤ 19 natural teeth, but were associated with a higher RDP prevalence. The presence of at least one complete denture (CD) had 1.71 fold and 2.54 folds higher odds among pre-frail and frail, respectively, compared to non-frail individuals. Frail individuals with CD reported chewing difficulties 7.8 times more often than non-frail individuals without CD. The results are in line with the hypothesis that (pre-) frail individuals may be more likely to have tooth loss restored by RDPs. Future longitudinal research needs to assess potential barriers to oral hygiene and fixed dental prostheses among (pre-) frail and to study their oral health-related quality of life.

The Difficulties of Managing Pain in People Living with Frailty: The Potential for Digital Phenotyping.

Pain and frailty are closely linked. Chronic pain is a risk factor for frailty, and frailty is a risk factor for pain. People living with frailty also commonly have cognitive impairment, which can make assessment of pain and monitoring of pain management even more difficult. Pain may be sub-optimally treated in people living with frailty, people living with cognitive impairment and those with both these factors. Reasons for sub-optimal treatment in these groups are pharmacological (increased drug side effects, drug-drug interactions, polypharmacy), non-pharmacological (erroneous beliefs about pain, ageism, bidirectional communication challenges), logistical (difficulty in accessing primary care practitioners and unaffordable cost of drugs), and, particularly in cognitive impairment, related to communication difficulties. Thorough assessment and characterisation of pain, related sensations, and their functional, emotional, and behavioural consequences ("phenotyping") may help to enhance the assessment of pain, particularly in people with frailty and cognitive impairment, as this may help to identify who is most likely to respond to certain types of treatment. This paper discusses the potential role of "digital phenotyping" in the assessment and management of pain in people with frailty. Digital phenotyping is concerned with observable characteristics in digital form, such as those obtained from sensing-capable devices, and may provide novel and more informative data than existing clinical approaches regarding how pain manifests and how treatment strategies affect it. The processing of extensive digital and usual data may require powerful algorithms, but processing these data could lead to a better understanding of who is most likely tobenefit from specific and targeted treatments.

Interplay And Causative Relationship Between Frailty And Atherosclerosis

Frailty syndrome is a complex condition with numerous contributing factors. It is characterized by a decline in physiological reserves and increased susceptibility to stress due to multi-system impairments. Commonly associated with aging, frailty can lead to adverse outcomes such as hospitalization, falls, and mortality. Cardiovascular diseases are recognized as a significant risk factor for frailty syndrome and frequently coexist in the elderly population. This review aims to explore the relationship between cardiovascular diseases and frailty syndrome. Research demonstrates that both acute and chronic cardiac conditions are prevalent among the risk factors for frailty. Cardiovascular diseases often manifest against the backdrop of atherosclerosis (AS) and are a leading cause of death in older adults. This review seeks to examine potential pathways through which cardiovascular events contribute to the development of frailty syndrome. Frail individuals often experience impaired physical function, significantly impacting their quality of life. Understanding the link between subclinical cardiovascular events and the pathogenesis of frailty syndrome is crucial for developing effective therapeutic interventions. Investigating how cardiovascular events influence the progression of frailty can provide valuable insights into improving clinical outcomes for frail patients.

Prevalence and risk factors of cognitive frailty among pre-frail and frail older adults in nursing homes.

The purpose of this research was to stratify the level of frailty to examine the risk factors associated with reversible cognitive frailty (RCF) and potentially reversible cognitive frailty (PRCF) in nursing homes to provide a basis for hierarchical management in different stages of frailty. The study was a cross-sectional study conducted from September to November 2022; 504 people were selected by stratified random sampling after convenience selection from the Home for the Aged Guangzhou. The structured questionnaire survey was conducted through face-to-face interviews using the general data questionnaire, Fried Frailty Phenotype, Montreal Cognitive Assessment Scale. In total, 452 individuals were included for analysis. A total of 229 cases (50.7%) were PRCF, 70 (15.5%) were RCF. Multivariate logistic regression analysis showed that in pre-frailty, the Geriatric Depression Scale (GDS-15) score (odds ratio (OR) 1.802; 95% CI 1.308-2.483), Instrumental Activities of Daily Living Scale (IADL) score (0.352; 0.135-0.918) and energy (0.288; 0.110-0.755) were influencing factors of RCF. GDS-15 score (1.805; 1.320-2.468), IADL score (0.268; 0.105-0.682), energy (0.377; 0.150-0.947), lack of intellectual activity (6.118; 1.067-35.070), admission time(>3 years) (9.969; 1.893-52.495) and low education (3.465; 1.211-9.912) were influencing factors of PRCF. However, RCF with frailty was associated with the Short-Form Mini-Nutritional Assessment (MNA-SF) score (0.301; 0.123-0.739) and low education time (0 ~ 12 years) (0.021; 0.001-0.826). PRCF with frailty was associated with age (1.327; 1.081-1.629) and weekly exercise time (0.987; 0.979-0.995). The prevalence of RCF and PRCF was high among pre-frail and frail older adults in nursing homes. Different levels of frailty had different influencing factors for RCF and PRCF. Depression, daily living ability, energy, intellectual activity, admission time, education level, nutrition status, age and exercise time were associated with RCF and PRCF. Hierarchical management and intervention should be implemented for different stages of frailty to prevent or delay the progression of cognitive frailty.

Prevalence and modifiable risk factors of cognitive frailty in patients with chronic heart failure in China: a cross-sectional study

BackgroundCognitive frailty (CF) is currently a significant issue, and most of the associated factors discovered in current studies are not modifiable. Therefore, it is crucial to identify modifiable risk factors that can be targeted for interventions in patients with chronic heart failure (CHF). This study aimed to investigate the prevalence and modifiable risk factors of CF in CHF patients in China.MethodsIn this cross-sectional study, we sequentially enrolled patients diagnosed with CHF. CF served as the dependent variable, assessed through the Montreal Cognitive Assessment (MoCA) Scale and the FRAIL Scale. The independent variable questionnaire encompassed various components, including general demographic information, the Social Support Rating Scale (SSRS), the Simplified Nutrition Appetite Questionnaire (SNAQ), the Hamilton Depression Scale (HAMD), the Hamilton Anxiety Scale (HAMA), and the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Logistic regression analysis was employed to identify independent factors contributing to CF.ResultsA total of 271 patients with CHF were included in the study. The overall prevalence of CF was found to be 49.4%, with 28.8% of patients exhibiting potentially reversible cognitive frailty and 20.7% showing reversible cognitive frailty. Among middle-young CHF patients, 10.7% had reversible cognitive frailty and 6.4% had potentially reversible cognitive frailty, with a prevalence of CF at 17.1%. Logistic regression analysis revealed that body mass index (OR = 0.826, 95%CI = 0.726–0.938), blood pressure level (OR = 2.323, 95%CI = 1.105–4.882), nutrition status (OR = 0.820, 95%CI = 0.671–0.979), and social support (OR = 0.745, 95%CI = 0.659–0.842) were independent factors associated with CF (p < 0.05).ConclusionsWe observed a relatively high prevalence of CF among Chinese patients diagnosed with CHF. Many factors including BMI, blood pressure level, nutrition status, and social support emerging as modifiable risk factors associated with CF. We propose conducting clinical trials to assess the impact of modifying these risk factors. The outcomes of this study offer valuable insights for healthcare professionals, guiding them in implementing effective measures to improve the CF status in CHF patients during clinical practice.

Core requirements of frailty screening in the emergency department: an international Delphi consensus study.

Frailty is associated with adverse outcomes among patients attending emergency departments (EDs). While multiple frailty screens are available, little is known about which variables are important to incorporate and how best to facilitate accurate, yet prompt ED screening. To understand the core requirements of frailty screening in ED, we conducted an international, modified, electronic two-round Delphi consensus study. A two-round electronic Delphi involving 37 participants from 10 countries was undertaken. Statements were generated from a prior systematic review examining frailty screening instruments in ED (logistic, psychometric and clinimetric properties). Reflexive thematic analysis generated a list of 56 statements for Round 1 (August-September 2021). Four main themes identified were: (i) principles of frailty screening, (ii) practicalities and logistics, (iii) frailty domains and (iv) frailty risk factors. In Round 1, 13/56 statements (23%) were accepted. Following feedback, 22 new statements were created and 35 were re-circulated in Round 2 (October 2021). Of these, 19 (54%) were finally accepted. It was agreed that ideal frailty screens should be short (<5 min), multidimensional and well-calibrated across the spectrum of frailty, reflecting baseline status 2-4weeks before presentation. Screening should ideally be routine, prompt (<4h after arrival) and completed at first contact in ED. Functional ability, mobility, cognition, medication use and social factors were identified as the most important variables to include. Although a clear consensus was reached on important requirements of frailty screening in ED, and variables to include in an ideal screen, more research is required to operationalise screening in clinical practice.

Prevalence and Risk Factors of Cognitive Frailty in Patients Undergoing Maintenance Hemodialysis: A Systematic Review and Meta-Analysis.

The purpose of this study is to investigate the prevalence and risk factor of cognitive frailty in patients undergoing maintenance hemodialysis. Systematically searched PubMed, EmBase, Web of Science, Cochrane Library, SinoMed, China Knowledge Resource Integrated Database, Wanfang Database, and Weipu Database from inception until January 1, 2024. Two researchers were independently screened and cross-checked. Stata 15.1 software was used to perform the meta-analysis. A total of 15 articles were included, including 5398 patients. The results showed that the prevalence of cognitive frailty in patients undergoing maintenance hemodialysis was 24%. Among them, age (odds ratio [OR] = 1.33, 95% CI [1.16, 1.53]), waist circumference (OR = 1.05, 95% CI [1.03, 1.08]), malnutrition (OR = 2.91, 95% CI [1.94, 4.35]), comorbidities (OR = 1.93, 95% CI [1.47, 2.54]), stroke history (OR = 2.94, 95% CI [1.72, 5.03]), and depression (OR = 3.26, 95% CI [1.91, 5.57]) were the main risk factors for cognitive frailty in patients undergoing maintenance hemodialysis. Education level (OR = 0.48, 95% CI [0.31, 0.73]) was protective factors for cognitive frailty in patients undergoing maintenance hemodialysis. Current evidence showed that the prevalence of cognitive frailty in patients undergoing maintenance hemodialysis was high, and there were many risk factors. Therefore, early identification and intervention of cognitive frailty in maintenance hemodialysis patients should be carried out, which may be helpful to reduce the prevalence rate and occurrence of adverse events and improve the prognosis of patients.

Factors associated with oral frailty among community-dwelling older people -A comparison between those

This study investigated the factors associated with oral frailty among community-dwelling older adults. In particular, we compared the factors between individuals in the young-old and old-old groups and clarified the differences between the two groups. We measured the basic attributes, body composition, grip strength, gait function, oral function, cognitive function, and daily living function using the Kihon checklist in older people living independently in T City, Aichi Prefecture. The risk of oral frailty was assessed using the Oral Frailty Screening and Evaluation Form (OFI-8), and the measurement results were compared between two groups: those with and those without risk. To identify the factors associated with oral frailty, we performed a multivariate analysis with the risk of oral frailty as the dependent variable and a univariate analysis separately for the young-old and old-old groups. The mean age of the 100 subjects was 76.6±4.6 years old. Forty-four subjects were at risk of oral frailty, and 55 subjects were not at risk. The high-risk group had significantly higher rates of polypharmacy, depression, and a slow walking speed than the no-risk group. The risk factors associated with oral frailty were living alone, polypharmacy, and depression. The risk factors for oral frailty were a poor ambulatory function in the young-old and a poor ambulatory function, decline in the cognitive function, and depression in the old-old. The results of this study suggest that the risk factors for oral frailty differ between older individuals in the young-old and old-old groups and that age-appropriate support is necessary to prevent oral frailty in older people.

PREVALENCE OF FRAILTY IN PATIENTS WITH INFLAMMATORY BOWEL DISEASE. A PILOT STUDY

Abstract Frailty is a multidimensional syndrome that leads to greater vulnerability to stress, increasing the risk of adverse health outcomes. It is a dynamic process, with transitions between being robust, pre-fragile and fragile over time, suggesting that it is modifiable. Inflammatory bowel disease (IBD) results in altered immune function with amplified inflammation. When severe, it manifests with features associated with frailty, such as weight loss, fatigue, and sarcopenia. The first studies on frailty in IBD were carried out in a surgical context. Subsequent studies have associated frailty with increased risk of mortality as an independent factor in IBD patients. Of the available evidence, all are retrospective -except one- and the majority measures frailty with associated ICD-10 diagnoses, which can underestimate its prevalence in younger patients. There is no consensus in the literature on the best tool to measure frailty, however, this pilot study will objectively evaluate, using a risk score, the prevalence of this syndrome, which will allow, in the future, to carry out prospective studies that characterize frailty in IBD, understand the dynamic and longitudinal relationship between frailty and disease activity and, if appropriate, design and test interventions to alleviate this syndrome and its consequences in this population. This was a descriptive study, with the objective to determine the prevalence of frailty in IBD patients in a teaching hospital in Chile. We also compared the characteristics of frail vs non-frail IBD patients. Frailty was measured using SHARE-FI tool, which is a validated score to measure frailty in primary care, even in patients under 65 years of age. 64 patients were recruited, 28 had ulcerative colitis, 33 had Crohn’s disease and 3 had indeterminate colitis. 62.5% were female, with an average age of 42,3 ± 13,65 years. Average years since diagnosis were 11,6 ± 9,89. The prevalence of frailty was 40,62%. No association was observed between the presence of frailty and the type of IBD, IBD activity indices, use of corticosteroids, use of biologic therapy, surgeries associated with IBD, IBD flare-ups with hospitalization within the last year, calprotectin levels, vitamin D levels. The odds of the presence of frailty in women are 4,2 times greater than in men, being women a possible risk factor for frailty. The frailty group had worse quality life measured with the IBD Questionnaire 9 (OR 0,86 [IC95% 0,79-0,94). In conclusion, the prevalence of frailty in IBD was 40,62%. Contrary to what might be assumed, frailty turned out to be a condition independent of the type of IBD, time of evolution, activity and treatment, mostly associated with female sex and a worse quality of life. New studies are required to determine factors predisposing to frailty in IBD patients and prevent its appearance in order to improve their prognosis.

Exploring causality between bone mineral density and frailty: A bidirectional Mendelian randomization study.

The bidirectional correlation between low bone mineral density (BMD) and frailty, despite its extensive documentation, still lacks a conclusive understanding. The objective of this Mendelian randomization (MR) study is to investigate the bidirectional causal relationship between BMD and frailty. We utilized summary statistics data for BMD at different skeletal sites-including heel BMD (e-BMD, N = 40,613), forearm BMD (FA-BMD, N = 8,143), femoral neck BMD (FN-BMD, N = 32,735), and lumbar spine BMD (LS-BMD, N = 28,489), alongside frailty index (FI, N = 175,226) data in participants of European ancestry. MR analysis in our study was conducted using well-established analytical methods, including inverse variance weighted (IVW), weighted median (WM), and MR-Egger approaches. We observed negative causal estimates between genetically predicted e-BMD (IVW β = - 0.020, 95% confidence interval (CI) = - 0.038, - 0.002, P = 0.029) and FA-BMD (IVW β = -0.035, 95% CI = -0.066, -0.004, P = 0.028) with FI. However, the results did not reach statistical significance after applying the Bonferroni correction, with a significance threshold set at P < 0.0125 (0.05/4). There was no causal effect of FN-BMD (IVW β = - 0.024, 95% CI = -0.052, 0.004, P = 0.088) and LS-BMD (IVW β = - 0.005, 95% CI = -0.034, 0.024, P = 0.749) on FI. In the reverse Mendelian randomization (MR) analysis, we observed no causal effect of FI on BMD at various skeletal sites. Our study provides support for the hypothesis that low BMD may be a potential causal risk factor for frailty, but further research is needed to confirm this relationship. However, our findings did not confirm reverse causality.

Spousal education and frailty levels among Chinese older adults: A national longitudinal study

BackgroundPrior research has identified one's own education level as a risk factor for frailty. However, the association between spousal education and frailty in later life is uncertain. We aim to examine the longitudinal association between spousal education and frailty levels among Chinese older populations. Methods3856 participants aged 60 and older from the 2011–2018 China Health and Retirement Longitudinal Study were analyzed. A 54-item deficit cumulative frailty index was developed to evaluate frailty levels at each follow-up. Linear mixed-effects models were used to examine the longitudinal association of spousal education with frailty levels, and whether this association varied by sex and own education level. ResultsHigher spouse education was associated with lower frailty levels, and this association decreased with age. Compared with older adults whose spouses had no formal education, older adults whose spouses had less than middle school education had an 8.82 lower level of frailty (95% CI: 15.05 to -2.58, P < 0.01); those with spouses with middle school education and above had a 23.44 lower level (95% CI: 31.43 to -15.44, P < 0.001). Stratified analysis showed that every additional year of spouse education was also associated with lower frailty levels in non-frail participants at baseline, but stronger among those already frail. The association between high spousal education and lower frailty did not vary by sex or own education. ConclusionThis study reveals a significant association between having a more educated spouse and lower later-life frailty levels for both older men and women, regardless of one's own educational background. It emphasizes the importance of leveraging educated spouses to prevent and manage frailty.

Prevalence of frailty and related factors in middle-aged and elderly people in island and mountainous areas of Taizhou, Zhejiang Province

Objective: To compare the prevalence of frailty and related factors in middle-aged and elderly people aged ≥45 years in island and mountainous areas of Taizhou, Zhejiang Province. Methods: Based on cross-sectional design, stratified cluster sampling and quota sampling methods were adopted. One administrative district was randomly selected from each of six coastal and three inland administrative districts in Taizhou during July to August, representing two different geographical terrains. In the island area (Jiaojiang District), all residents aged ≥45 years were included by cluster sampling. In the mountainous area (Xianju County), participants were selected through quota sampling, with same gender and age distributions. Data about their demographic characteristics, lifestyle and health-related factors were collected through questionnaire surveys and laboratory examinations. The prevalence of frailty was assessed using the Fried frailty phenotype scale. Hierarchical analysis and multivariate logistic regression analysis were used to compare the influencing factors of frailty. Results: A total of 1 011 local residents were studied, in whom island and mountainous residents accounted for 48.1% (486/1 011) and 51.9% (525/1 011) respectively; men and women accounted for 45.9% (464/1 011) and 54.1% (547/1 011) respectively. Middle-aged (45-49 years), younger elderly (60-74 years), and older elderly (≥75 years) residents accounted for 38.6% (390/1 011), 44.6% (451/1 011), and 16.8% (170/1 011) respectively. The overall prevalence rate of frailty was 3.6% (36/1 011), the prevalence rate was 3.7% (17/464) in men and 3.5% (19/547) in women. The prevalence rates in age groups 45-59,60-74 years and ≥75 years were 0.3% (1/390), 2.2% (10/451), and 14.7% (25/170), respectively. The prevalence rates of frailty and pre-frailty in island area were 6.0% (29/486) and 39.1% (190/486), respectively, which was higher than those in mountainous area (1.3%, 7/525) and (30.9%, 162/525). After adjusting for potential confounding factors, the risk for frailty in island residents was significantly higher than that in mountainous residents (aOR=1.55,95%CI: 1.07-2.25,P=0.019). In island area, older age (60-74 years:aOR=2.52,95%CI: 1.56-4.13; ≥75 years:aOR=11.65,95%CI:5.38-26.70), being women (aOR=1.94,95%CI: 1.20-3.17), suffering from depression (aOR=1.09,95%CI:1.02-1.17) were associated with frailty symptoms. In mountainous area, older age was also associated with an increased risk of frailty symptoms, but the OR value was lower than those in island area (60-74 years: aOR=1.74,95%CI:1.04-2.94;≥75 years: aOR=4.78,95%CI:2.45-9.50). Polydrug use (aOR=2.08,95%CI: 1.14-3.80) and suffering from depression (aOR=1.10,95%CI: 1.02-1.18) had significant positive association with frailty symptoms. Higher education level had significant negative association with frailty symptoms (junior high school: aOR=0.40,95%CI: 0.21-0.75; senior high school and technical secondary school: aOR=0.29,95%CI: 0.15-0.53; college or above:aOR=0.22,95%CI: 0.11-0.42). Conclusions: The prevalence of frailty in middle-aged and elderly community residents was significantly higher in island area than in mountainous area in Taizhou. The frailty-related factors varied with area. The elderly people (≥75 years) and women in island area had higher risk for frailty. Older age and suffering from depression were the independent risk factors for frailty. It is necessary to pay attention to the health risk factors and special environment in island area, and take comprehensive intervention measures to delay the process of debilitation and improve the quality of life of middle-aged and elderly people.

Assessment, Prevalence, and Correlates of Frailty among Moroccan People Aged 50 and above Living with HIV.

Persons living with HIV experience many challenges, such as premature aging and geriatric syndromes. Frailty has become an important determinant of a series of adverse health outcomes. This research aimed to evaluate the prevalence and risk factors for frailty in this population. A cross-sectional outpatient investigation was conducted in an urban HIV clinic. Patients aged 50 and older living with HIV were included. Frailty phenotype was evaluated using the original Fried criteria, and we calculated the Veterans Aging Cohort Study (VACS) index, Charlson Comorbidity Index, Fracture Risk Assessment Tool scores, and Mini-mental State Exam scores. One hundred and nine individuals were studied. Ninety-two (84.4%) were men, with a mean age of 57.65.2 years. Fourteen (12.8%) participants were frail. Frail participants were older (P = 0.001) and less likely to be virally suppressed (P = 0.01). Having ≥3 comorbidities, VACS index, polypharmacy, and 5-year mortality risk was significantly greater in the frail group. Frailty was significantly associated with poorer quality of life (P = 0.02). The cognitive impairment, falls, and malnutrition risk were significantly associated with a risk to manifest a frail phenotype. Frailty is common among Moroccans with HIV, and it is associated with greater morbidity and mortality rates. Our findings should serve as a warning sign to standardize frailty and geriatric syndrome screening in this population.

Analyzing The Prevalence and Risk Factors for Frailty Among Elderly Hospitalized Saudi Patients

Analyzing The Prevalence and Risk Factors for Frailty Among Elderly Hospitalized Saudi Patients

A cross-sectional study on the relationship between nutrient/food intake and gut microbiota in frailty among older community residents: The Kyotango study.

In strategies to extend a healthy lifespan, early detection and prevention of frailty are critical. The purpose of this study was to analyze the current state and clinical risk factors of frailty among community-dwelling older to conduct a cross-sectional analysis of the individuals, correlation between frailty and nutrient intake, dietary diversity, and dietary patterns, and to elucidate the correlation between frailty-related dietary factors and the gut microbiota. The study included 786 participants aged ≥65 years from the Kyotango Multipurpose Cohort Study who had available data on their gut microbiota. Frailty was quantitatively assessed by selecting 32 items from the previously reported frailty index, with those scoring ≥0.21 classified as frailty (n = 119) and those with scores <0.21 as non-frailty (n = 667), followed by group comparisons. The frailty group had significantly higher values and rates than the non-frailty group for the following items: age, obesity (in females only), diabetes, hypertension, history of cancer treatment, polypharmacy, disturbed sleep quality, low physical activity, serum insulin levels, and high-sensitivity C-reactive protein. The frailty group had significantly lower levels of nutrients, including plant proteins, potassium (K), magnesium (Mg), iron (Fe), copper (Cu), vitamins B and C, folic acid, and total, soluble, and insoluble dietary fiber. When analyzed by food groups of dietary fiber, the frailty group had significantly lower intakes of soy products and non-green-yellow vegetables, specifically. The Japanese Diet Index score (rJDI12) was significantly lower in the frailty group, with significant deficiencies in soy products and mushrooms included in the rJDI12. Cluster analysis of the Spearman correlation values between nutrient intake related to frailty and the gut microbiota abundance revealed a positive correlation between the cluster containing dietary fiber and the abundance of the phylum Bacillota, including the [Eubacterium]_eligens_group. In conclusion, our findings clarify the current state of frailty among older community residents and suggest the importance of a diverse range of plant-based foods, including soy products and non-green yellow vegetables, through correlation analysis with nutrients and food groups, and partially reveal the involvement of the gut microbiota.

Nutritional interventions in frailty in older adults: a narrative review on the current evidence

In recent years there has been an increase in elderly population and frailty. Although there is no universal definition of frailty, the most used is the frailty phenotype defined by Fried et al. (2001). Unbalanced eating habits and/or an inadequate nutritional status are modifiable risk factors for frailty. The aim of this literature review is to analyse the role of nutrition in frailty’s treatment in community-dwelling, institutionalized and hospitalized older adults. Regardless the setting, educational strategies, food fortification, supplementation, multidisciplinary and individualized interventions are important and effective strategies for frailty’s treatment. In community-dwelling older adults, multifactorial interventions that combine nutritional education and supplementation seem to be effective in treating frailty. In institutionalized older adults, multifactorial intervention that include protein-energy, vitamin D, calcium and fiber and physical exercise improves nutritional status and also physical capacity. In hospital setting, the most effective strategy is an individualized approach regarding patients’ favourite foods, additional snacks, the use of oral nutritional supplements or use protein-enriched foods and artificial nutrition when necessary. Further studies are needed in order to establish specific recommendations for the intervention in the prevention and treatment of frailty in older adults.

Risk factors of cognitive frailty in elderly chronic obstructive pulmonary disease patients and its implication for death: acohort study.

Cognitive frailty, a clinical syndrome with physical frailty and cognitive impairment, leads to mortality and other adverse health outcomes in older adults. This study aimed to investigate the prevalence of cognitive frailty, and its influencing factors, and follow its impact on short-term mortality in elderly chronic obstructive pulmonary disease patients, to provide a theoretical scientific reference basis for clinical intervention and management of cognitive frailty. A sample of 243 elderly chronic obstructive pulmonary disease patients in the respiratory department of a tertiary care hospital was conveniently sampled from November 2021 to February 2023, and the prevalence of cognitive frailty was investigated using the General Information Survey Scale, the Fried Phenotype Scale, the Mini-Mental State Examination, the Anxiety Self-Rating Scale, the Brief Geriatric Depression Scale, and the Mortality Record. The mortality was recorded by telephone follow-up after 6 months. A database was created and statistical analysis such as one-way analysis of variance, logistic regression analysis, Kaplan-Meier, and Cox survival analysis were used to analyze the data. A total of 47 patients (19.3%) had cognitive frailty; there were statistical differences in the prevalence of cognitive frailty by medical payment type, physical exercise, and sleeping time (P < 0.05). During a 6-month follow-up, 38 patients (15.6%) died. Cox survival analysis showed that the risk of death in elderly chronic obstructive pulmonary disease patients in the cognitive frailty group was 3.212 times higher than that in the normal cognitive function and non-frailty group (95% CI 1.646-6.270, P = 0.001), and 5.266 times higher than that in the normal cognitive function and frailty group (95% CI 3.159-8.778, P < 0.001). The prevalence of cognitive frailty in elderly chronic obstructive pulmonary disease patients is high, and clinical staff should pay attention to patients' medical burden and financial ability, and reduce the incidence of cognitive frailty by instructing patients to perform physical exercise and arrange sleep time. Cognitive frailty is an important risk factor for mortality within 6 months in elderly chronic obstructive pulmonary disease patients, and early intervention should be emphasised to reduce or delay cognitive frailty and mortality.

An IT-supported multidimensional approach for frailty screening in community-dwelling older adults

Introduction: Frailty in older adults is characterised by a dynamic state of vulnerability with weakness and reduced physiological reserve leading to an increased risk of worsening in quality of life, falls, institutionalisation, disability and death [1]. The COVID-19 pandemic is an example of how an infectious hit can determine an increased mortality especially among older and vulnerable population subgroups [2], as well as a deterioration in their quality of life due to loneliness and limited access to health and social services. Frailty syndrome is a complex interplay between several factors, including, but not limited to, natural physiological changes in ageing, multi-morbidities, malnutrition, living environment, genetics and lifestyle [3]. Early screening for frailty risk factors in the community-dwelling older adult population allows preventive interventions on the clinical and social determinants of frailty, avoiding adverse events and contributing to improve the resilience of health care systems.&#x0D; Method: Programma Mattone Internazionale Salute (ProMIS), the Italian Ministry of Health's programme for innovation of regional health systems [4], built up a working group (WG) on Frailty, including doctors, nurses, home care professionals, physiotherapists, pharmacists, psychologists, dieticians, social workers, physical trainers and policy makers, to develop a proactive and integrated approach to detect frailty and its risk factors in community-dwelling older adult population.&#x0D; Results: The participatory activity of ProMIS’ WG led to the identification of an integrated approach aimed to connect the SUNFRAIL tool for the early identification of frailty in the over-65 population [5] to other in-depth scales for the assessment of specific dimensions of frailty, guiding subsequent diagnostic assessments for health promotion, disease prevention and intervention. An IT tool was developed for data collection, SUNFRAIL+, which includes, in addition to SUNFRAIL tools, the validated scales for screening the nine domains of frailty, which automatically generates alerts, thanks to which targeted interventions will be activated in the compromised domains. A national multi-centre observational study protocol has been designed to validate the approach by assessing the impact of early, integrated, and multi-professional care on the quality of life of the community-dwelling older adult population and the professional’s satisfaction.&#x0D; Conclusion and discussion: The study design builds on the tool developed by the SUNFRAIL EU project [6], and provides the background for bridging multidimensional interventions to prevent frailty and mitigate its consequences on quality of life and functional ability in community-dwelling older adults, exploiting available services in the different health care services. The study will also provide the information needed to design a logical model integrating coherent interventions in the framework of specific frailty domains.

THE RELATIONSHIPS BETWEEN INTRINSIC CAPACITY AND FRAILTY AND DISABILITY IN OLDER OUTPATIENTS

Abstract The ICOPE scale is developed by the WHO to assess intrinsic capacity, including cognition, mobility, nutrition, hearing, vision, and depression. However, the relationships between intrinsic capacity and frailty and disability were unknown. The purposes of this study were to explore the cut-off points of the ICOPE scale for frailty and disability in older outpatients, and the significant intrinsic capacities for frailty and disability. This study employed a cross-sectional research design. The participants were patients aged 65 and above attending the geriatric department of a medical center (n=397). The ICOPE scale, Clinical Frailty Scale (CFS), and Activity of Daily Living (ADL) scale were used. ROC curve analysis was used to determine the optimal cut-off points of the ICOPE scale for frailty and disability, and logistic regression for the significant intrinsic capacities related to frailty and disability. For frailty, the AUC value of abnormal intrinsic capacity was 0.79 (p &amp;lt; 0.001), with an optimal cut-off point of 2/3. For disability the AUC value of abnormal intrinsic capacity was 0.82 (p &amp;lt; 0.001), with an optimal cut-off point of 2/3. Logistic regression showed cognition, mobility, and nutrition related to frailty significantly; whereas cognition, mobility, nutrition, and hearing related to disability significantly. Older adults with three or more abnormal intrinsic capacities have a higher risk of frailty and disability. The problems of cognition, mobility, and nutrition were the risk factors of frailty and disability. Healthcare staff can pay attention to older outpatients with the problems of intrinsic capacities.