Fried Frailty Research Articles

Prevalence, associated factors, and impact of vitamin B12 deficiency in older medical inpatients.

This retrospective cohort study aims to explore the prevalence of vitamin B12 deficiency in older hospitalized adults and identify key factors associated with this deficiency, as well as its impact on frailty and functional decline. Data were collected from older adults (≥65years) sequentially admitted to the Internal Medicine Department of a tertiary university hospital. Clinical and laboratory characteristics, including age, sex, somatometric data, cause of admission, past medical history, chronic medication use, and laboratory tests, were recorded. Frailty and functional status were assessed using the Fried Frailty Scale (FFS), Clinical Frailty Scale (CFS), Barthel Index, and Katz Index. Vitamin B12 levels on admission were categorised as deficient (<200pg/ml), borderline (200-300pg/ml), normal (300-999pg/ml), and high (≥1000pg/ml). A total of 894 patients were included. The median age was 83years and 487 (54.5%) were females. The prevalence of vitamin B12 deficiency was found in 9.1%, while 17.3% of the sample had borderline levels. Multivariate analysis identified polypharmacy (≥5 drugs), low albumin levels/Geriatric Nutritional Risk Index (GNRI), and nursing home residency as independent factors associated with low B12 levels. Multivariate analyses showed that B12 deficiency was significantly associated with higher frailty rates and lower functional status. Vitamin B12 deficiency is prevalent among hospitalized older patients and is significantly associated with increased frailty and reduced functional status. These findings underscore the importance of routine screening for B12 deficiency in this vulnerable population to improve clinical outcomes and quality of life.

Prognostic impact of a 3-week multimodal prehabilitation program on frail elderly patients undergoing elective gastric cancer surgery: a randomized trial.

Research indicates that prehabilitation is effective in optimizing physical status before surgery, although this method may be considered "aggressive" for frail elderly patients. This study aimed to evaluate whether multimodal prehabilitation decreases postoperative complications and improves functional recovery in frail elderly patients undergoing gastric cancer surgery, in comparison to usual clinical care. This study was a single-center, single-blind, randomized controlled trial. Patients over 65 years old with a Fried Frailty Index of 2 or higher, scheduled for gastric cancer surgery, were considered for inclusion. Eligible participants were randomized in a 1:1 ratio to either the intervention or control group. The intervention group underwent a 3-week multimodal prehabilitation program prior to surgery, in addition to perioperative care guided by ERAS protocols. The control group received only the latter. The primary outcome was the comprehensive complications index (CCI) measured at 30 days after surgery. Secondary outcomes included 30-day overall complications, functional walking capacity as assessed by 6-minute walking distance (6MWD) at 4 weeks postoperatively, and 3-month postoperative quality of life. This study was registered at ClinicalTrials.gov (No. NCT06510088). Among the 112 eligible patients, the median age was 74 years, with 58 (52.7%) being female.No between-group difference was found in the primary outcome measure, 30-day CCI. The Median (Q1-Q3) CCI for the intervention and control groups was 0 (0-12.2) and 0 (0-22.6) (P = 0.082), while the mean (SD) CCI was 6.1 (15.8) and 9.8 (12.7), respectively (P = 0.291). Notably, the incidence of severe complications (CCI > 20) was significantly lower in the intervention group compared to the control group (11.1% vs. 25.9%, P = 0.046), particularly in terms of medical complications (12.3% vs. 29.3%, P = 0.025). Preoperatively, 27 patients (47.4%) in the intervention group exhibited an increase in the 6MWD of at least 20m, compared to 16 patients (27.6%) in the control group (P = 0.028). At 4 weeks postoperatively, more patients in the intervention group returned to their baseline 6MWD levels (63.2% vs. 43.1%, P = 0.031). Secondary parameters of functional capacity in the postoperative period generally favored the multimodal prehabilitation approach. In frail elderly patients undergoing elective gastric cancer surgery, a prehabilitation program did not affect the 30-day postoperative complication rate or CCI but reduced severe complications and improved perioperative functional capacity. [ClinicalTrials.gov], [NCT06510088], [07/15/2024], [Retrospectively registered].

Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension.

Gravity, an invisible but constant force , challenges the regulation of blood pressure when transitioning between postures. As physiological reserve diminishes with age, individuals grow more susceptible to such stressors over time, risking inadequate haemodynamic control observed in orthostatic hypotension. This prevalent condition is characterized by drops in blood pressure upon standing; however, the contrary phenomenon of blood pressure rises has recently piqued interest. Expanding on the currently undefined orthostatic hypertension, our study uses continuous non-invasive cardiovascular data to explore the full spectrum of blood pressure profiles and their associated frailty outcomes in community-dwelling older adults. Given the richness of non-invasive beat-to-beat data, artificial intelligence (AI) offers a solution to detect the subtle patterns within it. Applying machine learning to an existing dataset of community-based adults undergoing postural assessment, we identified three distinct clusters (iOHYPO, OHYPO and OHYPER) akin to initial and classic orthostatic hypotension and orthostatic hypertension, respectively. Notably, individuals in our OHYPER cluster exhibited indicators of frailty and sarcopenia, including slower gait speed and impaired balance. In contrast, the iOHYPO cluster, despite transient drops in blood pressure, reported fewer fallers and superior cognitive performance. Surprisingly, those with sustained blood pressure deficits outperformed those with sustained rises, showing greater independence and higher Fried frailty scores. Working towards more refined definitions, our research indicates that AI approaches can yield meaningful blood pressure morphologies from beat-to-beat data. Furthermore, our findings support orthostatic hypertension as a distinct clinical entity, with frailty implications suggesting that it is worthy of further investigation.

Prevalence and Influence Factors of Cognitive Frailty in the Older Adult Patients Undergoing Maintenance Haemodialysis: A Multi-Centre Cross-Sectional Study.

To examine the prevalence of factors of cognitive frailty in patients undergoing maintenance haemodialysis (MHD). A cross-sectional study. From September 2023 to January 2024, 1023 patients undergoing MHD were recruited from 11 hospitals in Chengdu, China, using convenience sampling. The participants' sociodemographic and lifestyle factors, health information and laboratory indicators were assessed using a general information questionnaire. Cognitive frailty was assessed using the Fried Frailty Phenotype and Montreal Cognitive Assessment Scales. Multivariate logistic regression was used to examine the associations between cognitive frailty and sociodemographic and clinical characteristics. Independent variables for the multivariate logistic regression model encompassing age, sex, educational level, marital status, visual impairment, hearing impairment, falls within a year, depression, weight, height, Malnutrition-inflammation score and serum albumin, sodium, phosphorus, total cholesterol and creatinine levels. Among 1023 participants with a mean age of 69.52 years, 300 (29.3%) had cognitive frailty, with a predominance of older patients. Regression analysis showed that advanced age, low literacy and low serum creatinine, sodium and total cholesterol levels were positively correlated with cognitive frailty. Furthermore, 17.1% of the participants experienced depression, a risk factor for cognitive frailty, and malnutrition was an independent risk factor for cognitive frailty. Older adult patients undergoing (MHD) are at an increased risk of developing cognitive frailty. The aetiology of cognitive frailty in this cohort was multifactorial. Targeted interventions should be designed and implemented based on these factors, prioritising nutritional guidance and mood management to prevent or reverse cognitive frailty. The study adhered to the STROBE checklist. Older adult patients undergoing MHD are at increased risk of developing cognitive frailty. Cognitive frailty screening must be incorporated into the routine assessment of older patients undergoing MHD. No patient or public contribution.

Risk factors for hospitalisation in community-dwelling pre-frail and frail older people: results of a longitudinal study.

Older adults account for a large proportion of hospital admissions. In this study we aim to bridge a gap between medical and psychosocial factors in predicting hospitalisation. Demographic and social characteristics of community-dwelling pre-frail and frail older people were collected by questionnaires every six months during a two year follow-up. Hospital admission within this period was dichotomised as yes/no. To define pre-frailty and frailty the Fried frailty criteria were used. Analysis of risk factors for hospitalisation was performed using multivariable logistic regression. Hospitalised participants (n = 1803) were more often male and frail in comparison to not-hospitalised participants. They also experienced more chronic diseases (54.5% ≥ 4 chronic diseases), poorer self-perceived health (SPH) (76.4% fair to very poor) and lack of informal care (20.1%). In multivariable logistic regression male gender (Odds ratio (OR) 1.65, p < 0.001), frailty (vs. pre-frailty) (OR 1.66, p = 0.002), reporting lower SPH (OR 3.12, p < 0.001) and lacking informal care (OR 1.69, p < 0.001) showed significant associations with hospital admission. Subgroup analysis of pre-frail and frail participants, showed consistent associations between male gender (respectively OR 1.61, p < 0.001 ; OR 1.72, p = 0.085), lower SPH (OR 2.23, p = 0.001; OR 31.16, p < 0.001), lack of informal care (OR 1.64, p = 0.005; OR 2.63, p = 0.012) and hospitalisation. Frailty, male gender, lower SPH and lack of informal care are risk factors for hospitalisation within community-dwelling older people, showing the need of a holistic approach to possibly prevent hospitalisation. Further research should focus on evaluating individual factors for hospitalisation, particularly targeting pre-frail individuals.

Predictive value of preoperative Fried Frailty Phenotype assessment and serum biomarkers on the prognosis of elderly patients with femoral neck fracture under general anesthesia within 3 months after surgery.

Femoral neck fracture (FNF) seriously impact the health of the elderly and affect their long-term quality of life of the patients. This study aimed to determine whether combining the preoperative Fried Frailty Phenotype (FFP) with serum fibroblast growth factor receptor 3 (FGFR3) and run-related transcription factor 2 (RUNX2) could better predict the prognosis of elderly patients with FNF 3 months after surgery. A total of 150 elderly patients with FNF (60-89 years old) were enrolled and divided into a nonfrailty cohort and a frailty cohort based on preoperative FFP evaluation. The hip recovery of patients 3 months after surgery was evaluated using Harris Hip Score (HHS). Serum FGFR3 and RUNX2 levels were analyzed, and the relationship between HHS and serum FGFR3 and RUNX2 levels was evaluated. The specificity and sensitivity of FFP, serum FGFR3 and RUNX2 were evaluated using ROC curves before surgery. Potential prognostic factors were analyzed using multivariate logistic regression. Serum FGFR3 and RUNX2 levels were lower and hip recovery was poorer in the frailty cohort than in the nonfrailty cohort (p < 0.001). Within 3 months after surgery, there were 12 deaths (17.6%) in the frailty cohort and 1 in the nonfrailty cohort (1.2%) (p < 0.001). FFP assessment combined with serum FGFR3 and RUNX2 levels had a higher diagnostic significance. Readmission and preoperative frailty phenotype were independent factors affecting the prognosis of patients with FNF. HHS scores greater than 70 and higher levels of serum FGFR3 and RUNX2 cutoff values (7.85 ng/mL and 56.5 ng/mL, respectively) were identified as protective factors for prognosis. Assessing FFP alongside serum FGFR3 and RUNX2 levels may aid in evaluating the prognosis of elderly patients with FNF 3 months after surgery.

A comparative analysis of three frailty assessment tools for hospitalized patients with stroke

ObjectiveThe aim of this study is to assess the effectiveness of three frailty assessment tools in determining frailty risk among hospitalized patients with stroke and to offer a reference framework for selecting appropriate clinical frailty assessment tools in stroke management. MethodsA group of 203 hospitalized patients who had stroke were selected through convenience sampling and assessed for frailty using the Frailty Index, Fried Frailty Phenotype, FRAIL Scale, and Tilburg Frailty Scale. The efficacy of the three frailty assessment tools in assessing frailty risk in hospitalized patients with stroke was compared via Bayes discrimination and ROC curve analysis by using the Frailty Index as the diagnostic criterion for stroke-related frailty. ResultsThe incidence of frailty among patients with stroke ranged from 21.2 % to 23.6 %. The Kappa values indicating the agreement between the Frailty Index and Fried’s Frailty Phenotype, FRAIL Scale, and Tilburg Frailty Scale were 0.826, 0.928, and 0.707, respectively (all P < 0.01). The cross-validation accuracy for frailty risk prediction in patients with stroke was 94.1 %, 97.5 %, and 89.7 %, respectively. The areas under the ROC curves for these tools were 0.884, 0.955, and 0.896, respectively. ConclusionThe effectiveness of the three assessment tools in assessing frailty risk in patients with stroke ranked from highest to lowest, was as follows: FRAIL Scale, Fried Frailty Phenotype, and Tilburg Frailty Scale. Considering both assessment efficacy and convenience, the FRAIL Scale is recommended for widespread use in frailty screening among hospitalized patients with stroke.

Retrospective evaluation of the world falls guidelines-algorithm in older adults.

The World Falls Guidelines (WFG) propose an algorithm that classifies patients as low-, intermediate-, and high-risk. We evaluated different operationalizations of the WFG algorithm and compared its predictive performance to other screening tools for falls, namely: the American Geriatrics Society and British Geriatrics Society (AGS/BGS) algorithm, the 3KQ on their own and fall history on its own. We included data from 1509 adults aged ≥65years from the population-based Longitudinal Aging Study Amsterdam. The outcome was ≥1 fall during 1-year follow-up, which was ascertained using fall calendars. The screening tools' items were retrospectively operationalized using baseline measures, using proxies where necessary. Sensitivity ranged between 30.9-48.0% and specificity ranged between 77.0-88.2%. Operationalizing the algorithm with the 3KQ instead of fall history yielded a higher sensitivity but lower specificity, whereas operationalization with the Clinical Frailty Scale (CFS) classification tree instead of Fried's frailty criteria did not affect predictive performance. Compared to the WFG algorithm, the AGS/BGS algorithm and fall history on its own yielded similar predictive performance, whereas the 3KQ on their own yielded a higher sensitivity but lower specificity. The WFG algorithm can identify patients at risk of a fall, especially when the 3KQ are included in its operationalization. The CFS and Fried's frailty criteria may be used interchangeably in the algorithm's operationalization. The algorithm performed similarly compared to other screening tools, except for the 3KQ on their own, which have higher sensitivity but lower specificity and lack clinical recommendations per risk category.

Frailty assessment in patients with Behçet's syndrome: A cross-sectional monocentric study

AimsEvidence evaluating the association between pre-frailty and frailty, and risk of adverse health outcomes in patients with Behçet's syndrome (BS) is limited in the literature. The aim of this study was to characterize the prevalence of frailty and associated factors in a single-centre cohort of patients with BS. MethodsBased on the International Study Group's criteria, this was a monocentric cross-sectional study of BS patients. The Fried frailty criteria were used to define frailty. The Turkish version of the Behçet's Disease Current Activity Form was used to measure the disease activity of BS. Damage index was assessed with the Behçet's Syndrome Overall Damage Index. ResultsForty-four patients were enrolled. According to Fried frailty criteria, patients were classified as 13.6% frail, 59% pre-frail, and 27.2% robust, respectively. Compared to pre-frail and robust patients, frail patients had higher levels of inflammatory markers at the time of diagnosis. CRP levels at time of diagnosis and at the last visit were higher in the frail group than in the pre-frail and robust groups (p=0.039 and p=0.023, respectively). When active drugs for BS were evaluated, systemic glucocorticoid (50%, p=0.030) and cyclophosphamide (33.3%, p=0.006) treatments were higher in the frail group. ConclusionsFrailty and pre-frailty are commonly detected even in younger patients with BS. Inflammation can be described as potential determinants of frailty status.

Disturbed sleep after lung transplantation is associated with worse patient-reported outcomes and chronic lung allograft dysfunction

Many lung transplant recipients fail to derive the expected improvements in HRQL and survival. Sleep may represent an important, albeit rarely examined, factor associated with lung transplant outcomes.Within a larger cohort study, 141 lung transplant recipients completed the Medical Outcomes Study (MOS) Sleep Problems Index Revised (SPI) scale along with a broader survey of patient-reported outcome (PRO) measures and frailty assessment. From the SPI we also derived an insomnia-specific subscale. Potential perioperative risk factors for disturbed sleep were derived from medical records. We investigated associations between perioperative predictors on SPI and Insomnia and associations between SPI and Insomnia on PROs and frailty by linear regressions, adjusting for age, sex, and lung function. We evaluated the associations between SPI and Insomnia on time to chronic lung allograft dysfunction (CLAD) and death using Cox models, adjusting for age, sex, and transplant indication.Post-transplant hospital length of stay >30 days was associated with worse sleep by SPI and insomnia (SPI: p=0.01; Insomnia p=0.02). Worse sleep by SPI and insomnia was associated with worse depression, cognitive function, HRQL, physical disability, health utilities, and Fried Frailty Phenotype frailty (all p<0.01). Those in the worst quartile of SPI and insomnia exhibited increased risk of CLAD (HR 2.18; 95%CI: 1.22—3.89; p=0.01 for SPI and HR 1.96; 95%CI 1.09—3.53; p=0.03 for insomnia). Worsening in SPI but not insomnia was also associated with mortality (HR: 1.29; 95%CI: 1.05—1.58; p=0.01).Poor sleep after lung transplant appears associated with patient-reported outcomes, frailty, CLAD, and death. Clarifying the nature of this association may have important screening implications.

Genetically-predicted effects of lifestyle factors on frailty: Evidence from Mendelian randomization study

ObjectiveTo evaluate the causal relationships between genetically predicted lifestyle factors and frailty using Mendelian randomization(MR). MethodsWe extracted summary data from genome-wide association studies conducted among individuals of European ancestry, examining lifestyle factors such as smoking, alcohol consumption, physical activity, and sedentary behaviors. The outcomes were assessed using Fried Frailty Score (FFS) and Frailty Index (FI). We conducted 2-sample single-variable Mendelian randomization (SVMR) and multivariable Mendelian randomization (MVMR) to simultaneously assess the independent causal effects were primarily estimated using inverse variance weighted methods. Multiple sensitivity and validation analyzes were used. ResultsThe IVW analyzes indicated that smoking increased frailty risk (FFS: β = 0.107, 95 % CI = 0.057 to 0.156, P < 0.001; FI: β = 0.899, 95 % CI = 0.016 to 0.191, P = 0.020.), this effect was amplified in the MVMR analysis after adjusting for alcohol consumption. Strenuous sports or other exercise(SSOE) reduced frailty risk (FFS: β = -0.473, 95 % CI = -0.646 to -0.299, P < 0.001; FI: β = -0.423, 95 % CI = -0.692 to -0.154, P = 0.002). Vigorous and moderate-to-vigorous physical activities were significantly related to lower FFS, although no effects were observed on FI. Increased television watching was linked to higher frailty incidence (FFS: β = 0.227, 95 % CI = 0.197 to 0.257, P < 0.001; FI: β = 0.297, 95 % CI = 0.249 to 0.346, P < 0.001), the impact remained persistent in MVMR adjusting for driving and computer use. ConclusionThis study suggests that modifications in smoking, alcohol consumption, and physical activity may help prevent or manage frailty.

Classifying frailty in the ventral hernia population.

Frailty is increasingly recognized as a preoperative predictor of adverse outcomes following various surgical procedures. Our study aims to compare validated frailty measures in the ventral hernia population, as this is a common elective procedure with a paucity of data regarding frailty prevalence. Patients aged 18years or older with planned ventral hernia repairs were prospectively enrolled in our single-institution study from January 2023 through June 2023. After obtaining informed consent, patients completed the Fried Frailty Index (FFI), the FRAIL Scale, and the Strength, Assistance walking, Rising from a chair, Climbing stairs, and Falls (SARC-F) questionnaires, as well as the standard completion of the Patient-Reported Outcomes Measurement Information System (PROMIS) measures at their preoperative clinic appointment. Chart review was performed for baseline demographics and comorbidities. The Modified Frailty Index (mFI-11) and the Charleston Comorbidity Index (CCI) were calculated. A total of 63 patients were enrolled in our study. On average, the population was 60years old, with a BMI of 32.4kg/m2, a CCI of 3, and on 10.5 medications preoperatively. Overall, 12 patients (19%) screened positive for frailty by the mFI-11, 17 patients (27%) by the FFI, 15 patients (23.8%) by the FRAIL Scale, and 15 patients (23.8%) screened positive for sarcopenia by SARC-F. The FFI and the FRAIL Scale were strongly correlated with the other measures by Spearman's rank-order correlation (p < 0.05). On multivariate regression analysis, a longer Timed Up and Go test was associated with screening positive for frailty or sarcopenia (OR 1.896, p = 0.016). In this study, we find that frailty is more prevalent than previously reported in the literature by any measure used. Both the FRAIL Scale and FFI strongly correlate with the other tools investigated. Surgeons should consider using these assessments preoperatively to estimate frailty and guide operative planning as well as shared decision-making.

Cognitive frailty in older adults: examining the impact of frailty criteria on neuropsychological profile, functional outcomes, activity levels, and quality of life.

Cognitive frailty (CF) is the co-existence of cognitive impairment and physical frailty without dementia, conferring greater risks of adverse clinical outcomes compared to either condition alone. However, the impact of physical frailty components on cognitive performance remains unclear. This study aims to evaluate CF by determining the neuropsychological profiles, functional outcomes, activity levels, and quality of life across the Fried Frailty Phenotype (FFP) and its components. Cross-sectional study involving 120 community-dwelling older adults without dementia, but with subjective cognitive complaints (SCC, defined as AD8 ≥ 1). Participants were stratified into three groups to assess CF: SCC-Robust, SCC-Prefrail, and SCC-Frail, and further categorized by individual FFP components. Cognitive performance was assessed by comparing neuropsychological test battery (NTB) Z-scores between CF and non-CF groups with Cohen's d for effect sizes. We performed linear regression to examine the relationships between both groups with NTB scores, Instrumental Activities of Daily Living (IADL), Frenchay Activities Index (FAI), and quality of life scores. NTB scores showed no differences between individuals with CF when classified according to FFP criteria. Individuals with SCC-slow gait speed exhibited reduced processing speed (d = 0.62) and memory (d = 0.61); SCC-fatigue was associated with decreased working memory (d = 0.55). Regression analyses, adjusted for demographic and clinical variables, identified significant associations: slow gait speed with logical memory (-0.42; 95% CI -0.79 to -0.038]) and symbol search (-0.28; 95% CI -0.56 to -0.006]); fatigue with digit span backwards (-0.66; 95% CI -1.19 to -0.14) and color trails 2 (-0.67; 95% CI, -1.15 to -0.20). SCC-slow gait speed and SCC-fatigue were associated with reduced quality of life scores, but not with IADL and FAI scores. Specific frailty components, notably slow gait speed and fatigue, influence cognitive function and quality of life. Our findings provide greater insights into characterizing CF. Further longitudinal studies are required to determine the cognitive and functional trajectories of CF.

Estimation of efficacy of a home monitoring and communication platform to prevent frailty among older adults in Sweden- a pilot study with a randomized controlled trial design

BackgroundThe aging population of the world is increasing. Aging leads to risks for frailty and other chronic diseases and health systems must focus more on prevention to guarantee healthy aging. The primary objective was to estimate the efficacy of the POSITIVE-(The Maintaining and imPrOving the intrinSIc capaciTy Involving Primary Care and caregiVErs) system in improving frailty during a 6-month follow-up period. MethodA randomized controlled, assessor-blinded pilot study (RCT) with 50 individual < 70 years, pre-frail or frail was recruited from a primary care center in Stockholm Region. All participants received a drug review, nutritional recommendations, and a Vivifrail physical exercise program. In addition, the intervention group received POSITIVE including a tablet, an application, and portable measurement devices. The intervention group was monitored remotely by a primary care nurse at the primary health care centre during a six-month follow-up period. ResultsAt baseline there was a significance between the groups regarding the FTS-5 scale, and significantly more obese participants in the intervention group. The drug reviews showed that three of 43 participants got a review and new diseases were discovered. The test of interactions showed a tendency for significant differences over time between the groups in frailty measured by Fried Frailty Phenotype's and FTS-5 scales. ConclusionFrailty status over time in the intervention group not differed significantly from the controls. Including individuals to the project even through a pandemic showing that the design is possible for future studies to show effects of new ways of preventing frailty at home. Trial RegistrationClinicalTrials.gov. Registration number: NCT04592146. October 19, 2020. https://clinicaltrials.gov/ct2/show/NCT04592146?term=positive&draw=2&rank=7

Common Characteristics Between Frailty and Myotonic Dystrophy Type 1: A Narrative Review.

Myotonic dystrophy type 1 (DM1) is an inherited neuromuscular disorder often considered a model of accelerated aging due to the early appearance of certain age-related clinical manifestations and cellular and molecular aging markers. Frailty, a state of vulnerability related to aging, has been recently studied in neurological conditions but has received considerably less attention in neuromuscular disorders. This narrative review aims to describe 1) the common characteristics between Fried's frailty phenotype criteria (muscular weakness, slow gait speed, weight loss, exhaustion/fatigue, and low physical activity) and DM1, and 2) the psychological and social factors potentially contributing to frailty in DM1. This review gathered evidence suggesting that DM1 patients meet four of the five frailty phenotype criteria. Additionally, longitudinal studies report the deterioration of these criteria over time in DM1. Patients also exhibit psychological/cognitive and social factors that might contribute to frailty. Monitoring frailty criteria in the DM1 population could help to implement timely preventions and interventions to reduce the disease burden and severity of frailty symptoms.

Multidimensional frailty assessment: Development and validation of the Tilburg Frailty Indicator-Indonesia version

The aim of this study was to develop and examine the psychometric properties of the Tilburg Frailty Indicator-Indonesian version (TFI-I). 308 community-dwelling older adults aged ≥60 years participated. The TFI-I exhibited favorable internal consistency (Cronbach's alpha = 0.775) and test–retest reliability (intraclass correlation coefficient = 0.94). The physical, psychological, and social domains of the TFI-I correlated closely with the similar constructs of other scales, including the Short Physical Performance Battery (P < .001), Fried Frailty Phenotype (P < 0.001), Geriatric Depression Scale (P < .001), and the World Health Organization Quality of Life scale (P = 0.041), indicating its favorable construct validity. Significant differences were identified between the robust and frailty groups on the Barthel Index (P = .001) and Lawton Instrumental Activity of Daily Living Scale (P < .001). Overall, the TFI-I is valid and reliable when used to evaluate frailty status in clinical and research settings.

FRELSA: A dataset for frailty in elderly people originated from ELSA and evaluated through machine learning models

BackgroundFrailty is an age-related syndrome characterized by loss of strength and exhaustion and associated with multi-morbidity. Early detection and prediction of the appearance of frailty could help older people age better and prevent them from needing invasive and expensive treatments. Machine learning techniques show promising results in creating a medical support tool for such a task. MethodsThis study aims to create a dataset for machine learning-based frailty studies, using Fried's Frailty Phenotype definition. Starting from a longitudinal study on aging in the UK population, we defined a frailty label for each subject. We evaluated the definition by training seven different models for detecting frailty with data that were contemporary to the ones used for the definition. We then integrated more data from two years before to obtain prediction models with a 24-month horizon. Features selection was performed using the MultiSURF algorithm, which ranks all features in order of relevance to the detection or prediction task. ResultsWe present a new frailty dataset of 5303 subjects and more than 6500 available features. It is publicly available, provided one has access to the original English Longitudinal Study of Ageing dataset. The dataset is balanced after grouping frailty with pre-frailty, and it is suitable for multiclass or binary classification and prediction problems. The seven tested architectures performed similarly, forming a solid baseline that can be improved with future work. Linear regression achieved the best F-score and AUROC in detection and prediction tasks. ConclusionsCreating new frailty-annotated datasets of this size is necessary to develop and improve the frailty prediction techniques. We have shown that our dataset can be used to study and test machine learning models to detect and predict frailty. Future work should improve models' architecture and performance, consider explainability, and possibly enrich the dataset with older waves.

Measuring Frailty Using Self-Report or Automated Tools to Identify Risk of Cardiovascular Events and Mortality: The Million Veteran Program.

Frailty, a syndrome of physiologic vulnerability, increases cardiovascular disease (CVD) risk. Whether in person or automated frailty tools are ideal for identifying CVD risk remains unclear. We calculated 3 distinct frailty scores and examined their associations with mortality and CVD events in the Million Veteran Program, a prospective cohort of nearly 1 million US veterans. Veterans aged ≥50 years and enrolled from 2011 to 2018 were included. Two frailty indices (FI) based on the deficit accumulation theory were calculated: the questionnaire-based 36-item Million Veteran Program-FI and 31-item Veterans Affairs-FI using claims data. We calculated Fried physical frailty using the self-reported, 3-item Study of Osteoporotic Fractures. Multivariable-adjusted Cox models examined the association of frailty by each score with primary (all-cause and CVD mortality) and secondary (myocardial infarction, stroke, and heart failure) outcomes. In 190 688 veterans (69±9 years, 94% male, 85% White), 33, 233 (17%) all-cause and 10 115 (5%) CVD deaths occurred. Using Million Veteran Program-FI, 29% were robust, 42% pre-frail, and 29% frail. Frailty prevalence increased by age group (27% in 50-59 to 42% in ≥90 years). Using the Million Veteran Program-FI, over 6±2 years, frail veterans had a higher hazard of all-cause (hazard ratio [HR], 3.05 [95% CI, 2.95-3.16]) and CVD mortality (HR, 3.65 [95% CI, 3.43-3.90]). Findings were concordant for the Veterans Affairs-FI and Study of Osteoporotic Fractures frailty definitions, and remained significant even among younger veterans aged 50-59 years. Irrespective of frailty measure, frailty is associated with a higher risk of all-cause mortality and adverse CVD events. Further study of frailty in veterans aged <60 years old is warranted.

Association of serum iron metabolism with muscle mass and frailty in older adults: A cross-sectional study of community-dwelling older adults.

This study aimed to explore the correlation between serum ferritin and additional biomarkers associated with iron metabolism, as well as their connection to muscle atrophy and frailty in the community-dwelling middle-aged and elderly population. The study included 110 middle-aged and elderly participants. Participants were categorized into an iron accumulation group (31 cases) and a normal iron group (79 cases) based on the standard ferritin values for men and women. Based on the criteria of the Asian Working Group on Muscular Dystrophy, participants were classified into a sarcopenia group (31 cases) and a non-sarcopenia group (79 cases). Using the Fried frailty syndrome criteria, participants were categorized into non-frailty (7 cases), pre-frailty (50 cases), and frailty (53 cases) groups. We employed multiple linear regression, binary logistic regression, partial correlation analysis, and ordinal logistic regression to assess the associations between iron metabolism indices and the presence of muscle atrophy and frailty. Compared with the normal iron group, the iron overload group had significantly higher ferritin, weight loss, fatigue, slow gait, and frailty scores (P < .05). Among the 3 models we set, ferritin was not significantly correlated with muscle mass in models 1 and 3 (P > .05), ferritin was positively correlated with muscle mass in model 2 (Pmodel2 = .048), but Transferrin saturation was positively correlated with muscle mass in all 3 models (Pmodel1 = .047, Pmodel2 = .026, Pmodel3 = .024). Ferritin, body mass index and iron overload were the influencing factors of sarcopenia (Pferritin = .027, PBMI < .001, Piron overload = .028). Ferritin was positively correlated with weight loss, fatigue, slow gait, frailty score, and frailty grade (P < .05). Age, gender and ferritin were the influencing factors of frailty classification (P < .05). Disrupted iron metabolism can lead to decreased muscle mass and function among the middle-aged and elderly, increasing frailty risk. It's crucial to prioritize community-based frailty screening and prevention, focusing on iron utilization as well as storage, since accelerating the body's iron metabolism cycle might influence muscle health more significantly than iron reserves.

Frailty Is Associated with Malnutrition-Inflammation Syndrome in Older CKD Patients.

Patients affected by chronic kidney disease (CKD) are generally considered to be frailer than those with preserved renal function. We cross-sectionally evaluated the associations between frailty, malnutrition-inflammation syndrome and circulating inflammatory cytokines in 115 older individuals with advanced CKD. As for frailty definition, we adopted Fried's frailty phenotype (FP), while malnutrition-inflammation syndrome was assessed using the Malnutrition-Inflammation Score (MIS) and circulating inflammatory cytokines (IL-6; TNFα; MCP-1). A total of 48 patients were frail, and mean eGFR was comparable in both frail and non-frail patients (24 ± 10 vs. 25 ± 11 mL/min/1.73 m2; p = 0.63). Frail patients had higher MIS (6 [4-11] vs. 4 [3-5]; p < 0.0001) but cytokine concentrations were comparable in both groups. At multivariate regression, FP was independently associated with MIS, age, gender and pre-albumin but not with cytokines. However, we found some associations between inflammatory cytokines and some specific frailty criteria: weight loss and slowness were associated with MCP-1 (respectively p = 0.049 and p < 0.0001) and weakness with IL-6 (p = 0.005); in conclusion, in older patients with advanced CKD, frailty is strictly associated with malnutrition-inflammation syndrome but not with circulating inflammatory cytokines.