Frailty Phenotype Research Articles

Functional Impairments, Phenotypic Frailty, and Sector-Specific Incremental Healthcare Costs in Older Adults.

This study quantifies incremental healthcare expenditures of functional impairments and phenotypic frailty in specific healthcare sectors. Pooled 2023 analysis of 4 prospective cohort studies linked with Medicare claims including 4318 women and 3847 men attending an index examination (2002-2011). Annualized inpatient, skilled nursing facility (SNF), home healthcare (HHC), and outpatient costs (2023 dollars) ascertained for 36 months following index examination. Functional impairments (difficulty performing 4 activities of daily living) and frailty phenotype (operationalized using 5 components) derived from cohort data. Weighted multimorbidity index including demographics derived from claims. Mean age at index examination was 79.2 years. After accounting for multimorbidity and each other, average annualized incremental costs of 3-4 functional impairments versus no impairment in women (men) were $2838 ($5516) in inpatient, $1572 ($1446) in SNF, and $1349 ($1060) in HHC sectors; average incremental costs of phenotypic frailty versus robust in women (men) was $4100 (not significant for men) in inpatient, $1579 ($1254) in SNF, and $645 ($526) in HHC sectors. Incremental inpatient costs were primarily due to a higher hospitalization risk, while incremental SNF and HHC costs were related to both increased risks of utilization and higher costs among individuals with utilization. Neither geriatric domain was associated with outpatient costs. In this study of community-dwelling beneficiaries, functional impairments were independently associated with higher subsequent expenditures in inpatient, SNF, and HHC sectors among both sexes. Phenotypic frailty was independently associated with higher subsequent inpatient costs in women, and higher SNF and HHC costs in both sexes.

Effect of frail phenotype on cardiorenal risk and healthcare utilization in older patients with chronic kidney disease.

Introduction Limited data have addressed frailty's role in cardiorenal risk among older adult patients with chronic kidney disease (CKD). We investigated whether frailty could predict major renal and cardiovascular events, healthcare utilization, and mortality in these patients. Methods We conducted a prospective cohort enrolling patients ≥ 75 years with a stable estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2. Frailty phenotype consists of shrinking, low activity, exhaustion, weakness, and slowness, scored 0 to 5. The primary composite renal outcome was a ≥ 25 % decrease in eGFR concurrent with CKD stage progression or dialysis initiation. Secondary outcomes included major adverse cardiovascular events (MACE), emergency room (ER) visits, all-cause mortality, and hospitalization. Using multivariate Cox models with/without competing risk analyses, we explored frailty's impact on these outcomes. Results Among 203 older CKD patients (mean age 81.6 ± 5.0 years, female 40.9 %, diabetes 33.0 %, body mass index 24.9 ± 3.7 kg/m2), 67.9% were frail. Over 3.47 years, 38.9% faced composite renal outcomes, 13.3% MACE, 15.3% mortality, and more than half utilized healthcare. Every one-point frailty elevated composite renal outcome risk by 28.0 % (HR: 1.28, 95% CI:1.03-1.59) and significantly increased secondary outcomes (hospitalization [HR: 1.24, 95% CI: 1.06-1.46], unexpected ER visit [HR: 1.20, [95% CI:1.03-1.39], and mortality [HR: 1.51, 95% CI: 1.06-2.16]) but not for MACE [HR: 1.43, 95% CI: 0.99-2.08]. Results were consistent across subgroups and competing risk analysis. Conclusion In CKD patients ≥ 75 years, frailty was associated with progressive kidney disease, increased mortality and healthcare utilization.

Disentangling Anemia in Frailty: Exploring the role of Inflammation.

In older patients, frailty and anemia frequently coexist. However, only few studies have been conducted in older patients with multimorbidity and several overlapping causes of anemia, such as inflammation, inadequate nutrition or certain pathologies. This analysis aims to decipher potential factors associated with anemia in older hospital patients with frailty. Patients (n=208, age: 62-98 years) were categorized as pre-frail (n=68) and frail (n=140) using the Fried frailty phenotype. We quantified serum concentrations of markers of iron-metabolism (iron, ferritin, transferrin, soluble transferrin receptor, hepcidin), inflammation (interleukin (IL) 6, IL-10 C-reactive protein) and haematology (hemoglobin). Principal component analysis was conducted to evaluate biomarker patterns and associations with frailty were assessed with logistic regression analysis. Anemia prevalence was higher in patients with frailty (84.3% versus 70.6%, p=0.021). Three principal components (PC1-3) were identified. PC1 was characterized by high factor loadings representing inflammation and factor scores differed between patients with pre-frailty and frailty [-0.04 (IQR:1.45) versus -0.51 (IQR:0.87), p<0.001]. PC2 represents macrocytic anemia and thus vitamin B12 or folate deficiency, whereas PC3 indicates hematological pathologies. Only PC1 was associated with frailty status when controlled for age, sex, number of drugs and comorbidities (OR: 2.018, 95%CI: 1.316; 3.094, p=0.001). PC2 and PC3 were not associated with frailty. Our results suggest that anemia in patients with frailty is driven by inflammation rather than being disease-related or solely the result of micronutrient deficiencies.

Relationships Between Hepatic Steatosis and Frailty Differ by HIV Serostatus.

Frailty is associated with obesity-related comorbidities, but the relationship with nonalcoholic fatty liver disease (NAFLD) in people with HIV has been incompletely described. Our objective was to assess the associations between NAFLD and frailty. Cross-sectional and longitudinal analysis of men in the Multicenter AIDS Cohort Study. NAFLD was defined as a liver/spleen ratio <1.0 on abdominal computed tomography scans; frailty was defined by the frailty phenotype as having 3 of the following: weakness, slowness, weight loss, exhaustion, and low physical activity. Men without (n = 200) and with HIV (n = 292) were included. NAFLD prevalence was 21% vs 16% and frailty 12% vs 17%, respectively. Among men with NAFLD, frailty was more prevalent in men without HIV (21% vs 11%). In multivariate analysis, NAFLD was significantly associated with frailty after controlling for significant variables. Men without HIV and NAFLD had 2.6 times higher probability [95% confidence interval (CI): 1.2- to 5.7] of frailty relative to men with neither HIV nor NAFLD. This association was not seen in men with HIV. The probability of frailty was higher among men without HIV with NAFLD (27% vs 10% in men without NAFLD) but lower among men with HIV with NAFLD (14% vs 19% in men without NAFLD). No significant relationships were found in longitudinal analyses. NAFLD was independently associated with frailty among men without HIV but not men with HIV, despite increased prevalence of frailty among men with HIV. The mechanisms of the muscle-liver-adipose tissue axis underlying NAFLD might differ by HIV serostatus.

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.

The mitochondrial function of peripheral blood mononuclear cells in frail older patients

BackgroundFrailty increases the incidence of geriatric syndromes and even the risk of death in old adults. However, the diagnostic criteria for frailty are inconsistent because of complex pathological processes and diverse clinical manifestations. To determine the effective biomarker and recognize frail status early, we investigated the correlation of mitochondrial morphology and function of human peripheral blood mononuclear cells (PBMCs) with frailty status in older adults. MethodsThis Cross-sectional study followed 393 participants (aged 25–100 years, female 31.04 %) from the First Affiliated Hospital of Nanjing Medical University. The frailty status of subjects was assessed by the physical frailty phenotype (PFP) scale. We analyzed mitochondria functions including mitochondria copy number (mtDNAcn), the mRNA expressions of mitochondrial dynamics-related genes mitofusin 1(MFN1), mitofusin 2(MFN2), optic atrophy protein-1(OPA1), fission protein-1(FIS1) and dynamin-related protein 1(DRP1), mitochondrial oxidative respiration and reactive oxygen species(ROS) levels in PBMCs. Mitochondria morphology, size, and number were observed by transmission electron microscopy (TEM). ResultsAfter adjustment for sex and BMI, mtDNAcn, the mRNA expression of FIS1, mitochondrial respiratory function (proton leak, maximum oxygen consumption, and respiratory reserve) and ROS level were significantly correlated with age (P = 0.031, 0.030, 0.042, 0.003, 0.002, 0.022, respectively). After correcting for age, sex, and BMI, mtDNAcn and the mRNA expression of OPA1 were correlated with 4 m gait speed respectively (P = 0.003, 0.028, respectively). Compared with non-frail people, mtDNAcn, the mRNA expression of MFN1, mitochondrial basal respiration, proton leak, maximum oxygen consumption, ATP production and space capacity were significantly decreased in frail older adults (P = 0.013, 0.036, 0.026, 0.024, 0.012, 0.032, 0.020, respectively). ROS levels were significantly increased in the frail group (P = 0.016). Compared with non-frail people, the number, length, and perimeter, area of mitochondria were reduced in frail group under TEM (all P < 0.001). ConclusionMitochondrial dysfunctions (decreased mtDNAcn, impaired mitochondrial morphology, imbalanced mitochondrial dynamic, impaired mitochondrial respiratory function, and increased ROS levels) were significantly correlated with frail status.

The Performance and Associated Risks of the Criteria for Sarcopenic Obesity Proposed by the European Association for the Study of Obesity in a Geriatric Population

Background: There is no gold standard definition of sarcopenic obesity (SO). Our objective is to evaluate the benefit of using the new definition proposed by the European Association for the Study of Obesity (EASO) in older people. Methods: Data from the Toledo Study of Healthy Aging, a study based on a cohort of community-dwelling older adults, were used. SO was defined according to the EASO and by a composite of the Foundation for the National Institute of Health (FNIH) for the diagnosis of sarcopenia and the WHO’s criteria for obesity (Body Mass Index, BMI ≥ 30 kg/m2; waist circumference, &gt;88 cm for women and &gt;102 cm for men). Frailty [Frailty Phenotype (FFP) and Frailty Trait Scale-5 (FTS5)] and disability (Katz Index) statuses were assessed at baseline and at the follow-up (median 2.99 years). Mortality at a 5-year follow-up was also assessed. The Logistic and Cox regression models were used to assess the associations. Results: Of the 1559 subjects (age 74.79 ± 5.76 years; 45.54% men), 30.15% (EASO/ESPEN) vs. 16.36% (FNIH) met the SO criteria (Kappa = 0.42). SO was associated with the prevalence of frailty by both the EASO’s [OR(95%CI): FFP: 1.70 (1.33–2.16); FTS-5 binary: 2.29 (1.60–3.27); β(95%CI): FTS-5 continuous 3.63 (3.00–4.27)] and FNIH+WHO’s criteria [OR (95%CI): 2.20 (1.61, 3.00)]. The FNIH + WHO’s criteria were cross-sectionally associated with disability [OR: 1.52 (1.07, 2.16); p-value 0.018], while the EASO’s criteria were not. The EASO’s criteria did not show any association at the follow-up, while the FNIH + WHO’s criteria were associated with incident frailty. Conclusions: The EASO’s new criteria for sarcopenic obesity demonstrate moderate agreement with the traditional definition and are cross-sectionally associated with adverse events, but they do not effectively predict the outcomes generally associated with sarcopenic obesity in older adults. Therefore, the performance of the EASO’s criteria in older people raises the need for refinement before recommending it for generalized use in this population.

Systematic Review and Meta-Analysis of Diagnostic and Predictive Accuracy of the Clinical Frailty Scale in Older Adults in Emergency Department

Abstract Background Older adults attending the Emergency Department (ED) should be assessed using a frailty screening tool as older adults living with frailty are more likely to experience adverse outcomes. The Clinical Frailty Scale (CFS) is commonly used for this. This systematic review and meta-analysis synthesise the literature studying predictive accuracy of the CFS for identifying older adults at risk of adverse outcomes following ED visit, and the diagnostic accuracy of the CFS for identifying older adults living with frailty attending the ED. Methods A systematic literature search was conducted to identify studies that attempted to validate the diagnostic and predictive accuracy of the CFS for older adults in the ED setting. The population included were older adults over 65 years of age who presented to the ED with undifferentiated medical complaints. All included studies assessed the diagnostic accuracy of the CFS in comparison to a reference standard: Frailty Index, Comprehensive Geriatric Assessment or Frailty Phenotype. The adverse outcomes included were mortality, falls, functional decline, ED re-attendance, hospital admission, length of stay and institutionalisation. Results Nineteen studies were included with sixteen individual cohorts. All studies investigated predictive accuracy and four studies assessed diagnostic accuracy for the CFS. The CFS showed predictive accuracy for the outcomes of mortality at all timepoints (RR 3.05 (CI 2.22, 4.21)), ED re-attendance at 30 days (RR 1.47 (CI 1.12, 1.94)), hospital admission at index visit (RR 1.72 (CI 1.26, 2.34) and institutionalisation (RR 3.63 (CI 1.41, 9.36). The studies included had an overall low risk of bias. Conclusion The CFS successfully identifies those at risk of adverse outcomes of death, ED revisit, hospitalisation and institutionalisation. However, there is a paucity of studies which assess its diagnostic accuracy. Overall, it is a useful screening tool to identify those who may benefit from comprehensive multidisciplinary assessment in the ED setting.

The Effect of Physiotherapy on Strength, Mobility and Balance in Older Adults Attending an Integrated Care Programme for Older Persons

Abstract Background Physiotherapy has a significant impact on strength, mobility and balance in older adults but does the presence of frailty negate this? This study aimed to determine the benefit of a six-week physiotherapy intervention as part of an Integrated Care Programme for Older Persons (ICPOP) admission in frail older adults. Methods This was a retrospective observational study of frail older adults attending physiotherapy in ICPOP between 2022 and 2024. All patients had a Clinical Frailty Score of 4-6. Each patient referred to physiotherapy had strength assessments including Five Times Sit to Stand (5TSTS) &amp; Grip Strength Test, mobility assessment including Timed Up and Go (TUG) and balance assessment using the Mini BESTest. Patients with pre- and post-admission outcome measures were included in the study. Patients were offered individualised interventions of strength, mobility, and balance rehabilitation once per week for six weeks. Data was collected from a hospital clinical system using Microsoft Excel. Results 82 patients were included in the data for 5TSTS with an average of 22.3 seconds pre physiotherapy intervention and 18.5 seconds post. 163 patients were included in the Grip Strength Test. Initial mean left/right grip strength was 17.0/18.9kg while final left/right grip strength was 18.2/20.2kg. 173 patients were included in TUG testing with an average of 23.1 seconds pre-physiotherapy and 16.9 seconds post. 41 patients were included in the balance data with mean score of 15.7 pre-physiotherapy intervention and 20.0 post. Conclusion Lower limb strength, mobility and balance had on average minimally clinical important differences (MCID) post physiotherapy intervention despite the presence of frailty. The MCID was not achieved for grip strength potentially reinforcing the appropriateness of grip strength as part of the frailty phenotype.

Exploring frailty in apparently healthy senior dogs: a cross-sectional study

BackgroundAs dogs age, they face various health challenges, and preventive care may be overlooked, impacting their quality of life. Frailty, a concept established in human medicine, has recently been applied to dogs using validated tools like the frailty index and frailty phenotype. This study aims to characterize frailty in senior pet dogs and investigate associated factors. To achieve this goal, 88 apparently healthy dogs, as reported by their owners, voluntarily participated in thorough consultations. These consultations included supplementary examinations such as urinary analyses, hematological assessments, and blood biochemistry. Additionally, owners completed questionnaires addressing their dog's overall health, cognitive and locomotor status, as well as their own attachment to the dog and personality traits. Subsequently, each dog was classified as robust or frail based on the presence of multiple criteria out of a set of five. All collected data underwent preliminary screening by a multiple factorial analysis, followed by binomial logistic regression to model frailty.ResultsThe final population consisted of 74 dogs, with a frailty prevalence of 41.9% (95% CI: 30.5 – 53.9). In the statistical analysis, older age of the dog, lower owner attachment score, lack of regular deworming, and a disparity in extraversion between owner and dog were identified as contributing factors to frailty.ConclusionsThis study emphasizes the importance of regular deworming and strong owner-pet attachment in reducing frailty in dogs. It underscores the significance of proactive pet care and highlights the complex relationship between owner-dog personalities and canine frailty. This research advocates for a holistic approach that considers both human and canine traits to promote better health outcomes.

The application of machine learning for identifying frailty in older patients during hospital admission

BackgroundEarly identification of frail patients and early interventional treatment can minimize the frailty-related medical burden. This study investigated the use of machine learning (ML) to detect frailty in hospitalized older adults with acute illnesses.MethodsWe enrolled inpatients of the geriatric medicine ward at Taichung veterans general hospital between 2012 and 2022. We compared four ML models including logistic regression, random forest (RF), extreme gradient boosting, and support vector machine (SVM) for the prediction of frailty. The feature window as well as the prediction window was set as half a year before admission. Furthermore, Shapley additive explanation plots and partial dependence plots were used to identify Fried’s frailty phenotype for interpreting the model across various levels including domain, feature, and individual aspects.ResultsWe enrolled 3367 patients. Of these, 2843 were frail. We used 21 features to train the prediction model. Of the 4 tested algorithms, SVM yielded the highest AUROC, precision and F1-score (78.05%, 94.53% and 82.10%). Of the 21 features, age, gender, multimorbidity frailty index, triage, hemoglobin, neutrophil ratio, estimated glomerular filtration rate, blood urea nitrogen, and potassium were identified as more impactful due to their absolute values.ConclusionsOur results demonstrated that some easily accessed parameters from the hospital clinical data system can be used to predict frailty in older hospitalized patients using supervised ML methods.

Development and validation of an explainable machine learning model for predicting multidimensional frailty in hospitalized patients with cirrhosis.

We sought to develop and validate a machine learning (ML) model for predicting multidimensional frailty based on clinical and laboratory data. Moreover, an explainable ML model utilizing SHapley Additive exPlanations (SHAP) was constructed. This study enrolled 622 patients hospitalized due to decompensating episodes at a tertiary hospital. The cohort data were randomly divided into training and test sets. External validation was carried out using 131 patients from other tertiary hospitals. The frail phenotype was defined according to a self-reported questionnaire (Frailty Index). The area under the receiver operating characteristics curve was adopted to compare the performance of five ML models. The importance of the features and interpretation of the ML models were determined using the SHAP method. The proportions of cirrhotic patients with nonfrail and frail phenotypes in combined training and test sets were 87.8% and 12.2%, respectively, while they were 88.5% and 11.5% in the external validation dataset. Five ML algorithms were used, and the random forest (RF) model exhibited substantially predictive performance. Regarding the external validation, the RF algorithm outperformed other ML models. Moreover, the SHAP method demonstrated that neutrophil-to-lymphocyte ratio, age, lymphocyte-to-monocyte ratio, ascites, and albumin served as the most important predictors for frailty. At the patient level, the SHAP force plot and decision plot exhibited a clinically meaningful explanation of the RF algorithm. We constructed an ML model (RF) providing accurate prediction of frail phenotype in decompensated cirrhosis. The explainability and generalizability may foster clinicians to understand contributors to this physiologically vulnerable situation and tailor interventions.

Cross‐Sectional and Prospective Associations between Parkinsonism and Parkinson's Disease with Frailty in Latin America

AbstractBackgroundLittle is known about the relationship between parkinsonism or Parkinson's disease (PD) and frailty in Latin America.ObjectiveThe study aimed to determine the cross‐sectional and prospective associations between parkinsonism and PD with frailty in a large multi‐country cohort in Latin America. Frailty was assessed using three different models to explore which definitions are more appropriate to screen for frailty in a PD population.Methods12,865 older adults (aged ≥65 years) from the 10/66 population‐based cohort study in six Latin American countries were analyzed. Logistic regression models assessed the cross‐sectional association between parkinsonism/PD with baseline frailty. Individual country analyses were combined via fixed‐effect meta‐analysis. In non‐frail participants who were followed up for 4 years, Cox proportional hazards regression models assessed the prospective association between parkinsonism/PD with incident frailty accounting for competing risk of mortality.ResultsAt baseline, the prevalence of parkinsonism and PD was 7% and 2%, respectively, and the prevalence of frailty varied across the three models with rates of 18% for frailty phenotype, 20% for frailty index and 30% for multidimensional frailty model. PD was associated with baseline and incident frailty after accounting for age, sex, and education: odds ratios and 95% confidence intervals (95% CI) for frailty were 2.49 (95% CIs 1.87–3.31), 2.42 (95% CIs 1.80–3.25), and 1.57 (95% CIs 1.16–2.21), and cause‐specific hazard ratios were 1.66 (95% CIs 1.07–2.56), 1.78 (95% CIs 1.05–3.03), and 1.58 (95% CIs 0.91–2.74). Similar results were found for parkinsonism.ConclusionParkinsonism and PD were cross‐sectionally and prospectively associated with frailty in Latin America. Routine screening for frailty in PD patients may aid earlier detection of those at greater risk of adverse outcomes.

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.

Association of left atrial function with frailty: The Atherosclerosis Risk in Communities (ARIC) study.

Frailty is common in people with cardiovascular disease. Worse left atrial (LA) function is an independent risk factor for cardiovascular disease. However, whether worse LA function is associated with frailty is unclear. We included 3292 older adults from the Atherosclerosis Risk in Communities study who were non-frail at baseline (visit 5, 2011-2013) and had LA function (reservoir, conduit, and contractile strain) measured from two-dimensional speckle-tracking echocardiography. LA stiffness index was calculated as a ratio of E/e' to LA reservoir strain. Frailty was defined using the validated Fried frailty phenotype. Incident frailty was assessed between 2016 and 2019 during two follow-up visits. LA function was analyzed as quintiles. Multivariable logistic regression examined odds of incident frailty. Median (interquartile range [IQR]) age was 74 (71-77) years, 58% were female, and 214 (7%) participants developed frailty during a median (IQR) follow-up of 6.3 (5.6-6.8) years. After adjusting for baseline confounders and incident cardiovascular events during follow-up, the odds of developing frailty was 2.42 (1.26-4.66) times greater among participants in the lowest (vs highest) quintile of LA reservoir strain and 2.41 (1.11-5.22) times greater among those in the highest (vs lowest) quintile of LA stiffness index. Worse LA function was significantly associated with the development of exhaustion, but not the other components of the Fried frailty phenotype. Worse LA function is associated with higher incidence of frailty and exhaustion component independent of LA size and left ventricular function. Future studies are needed to elucidate the underlying mechanisms that drive the observed association.

Association between changes of frailty status/frailty components status and rapid loss of kidney function in middle- aged and older populations

BackgroundFrailty and its components are proposed to associate with kidney function, but little attention is paid to the significance of changes in their status on rapid loss of kidney function. This study aimed to investigate the association between changes in frailty and its components status with rapid loss of renal function.MethodsThis study used data from China Health and Retirement Longitudinal Study (CHARLS). Frailty status was measured using the Fried frailty phenotype (FP) scale, including five components: slowness, weakness, exhaustion, inactivity, and shrinking. Frailty status was further classified into three levels: robust (0 component), prefrail (1–2 components) and frail (3–5 components). Changes in frailty status were assessed by frailty status at baseline and 4- year follow-up. Rapid loss of kidney function was defined as a rate of estimate glomerular filtration rate(eGFR) decline ≥ 4 ml/min per 1.73 m2per year. Logistic regression models were performed to assess the association between changes in frailty status and its components status with rapid eGFR decline.ResultsA total of 2705 participants were included with 316 (11.68%) participants categorized as rapid eGFR decline during the 4-year follow-up. Compared with baseline prefrail participants who progressed to frail, prefrail participants who maintained prefrail or recovered to robust status had decreased risks of rapid eGFR decline (stable prefrail status, OR = 0.608, 95% CI: 0.396–0.953; recover to robust, OR = 0.476, 95% CI: 0.266–0.846). In contrast, among baseline robust or frail participants, we did not find changes in frailty status significantly affect the risks of rapid loss of kidney function. Moreover, participants who experienced incident weakness showed the significant relationship with an increased risk of rapid eGFR decline (OR = 1.531, 95% CI: 1.051–2.198) compared to stable non-weakness participants. Other changes of frailty components status did not significantly affect the risks of rapid eGFR decline.ConclusionsThe progression of frailty status increases the risks of rapid eGFR decline among prefrail populations. Preventing weakness, may benefit kidney function.

Prevalence of and factors associated with cognitive frailty in elderly patients with chronic obstructive pulmonary disease: A cross-sectional study.

The status of cognitive frailty in elderly patients with chronic obstructive pulmonary disease (COPD) and its influencing factors in China remains unclear. This study aimed to investigate the prevalence of and factors associated with cognitive frailty in elderly patients with COPD. This cross-sectional study enrolled elderly patients with stable COPD between May and November 2022 from the Respiratory Department of the First Affiliated Hospital of Zhengzhou University and the Fifth Affiliated Hospital of Zhengzhou University. Convenience sampling method was adopted. Frailty Phenotype scale, Montreal Cognitive Assessment scale, Geriatric Depression Scale, and Clinical Dementia Rating scale were used to assess the prevalence of cognitive frailty in elderly patients with COPD. Multivariable logistic regression analysis was used to explore the associated factors. A total of 406 valid questionnaires were collected, and 173 patients (35.6%) had cognitive frailty. Binary logistic regression analysis showed that sex (odds ratio [OR] = 0.009; 95%CI: 0.001-0.770; P = .038), depression (OR = 17.780; 95%CI: 1.092-289.478; P = .043), modified Medical Research Council grade 1-3 (OR = 28.394-4095.683; 95%CI: 1.086-4,592,652.211; P < .05), global initiative for chronic obstructive lung disease grade 2 and 3 (OR = 32.508-282.072; 95%CI: 1.101-12,516.874; P < .05), and frequencies of acute exacerbations of COPD and hospitalizations within 1 year of 2 times (OR = 21.907; 95%CI: 4.587-104.622; P < .001) were independently associated with cognitive frailty. The prevalence of cognitive frailty in elderly patients with stable COPD was high. Female, depression, modified Medical Research Council grade, global initiative for chronic obstructive lung disease grade, and frequencies of acute exacerbations of COPD and hospitalizations within 1 year might be the factors independently associated with cognitive frailty, educational level might be a protective associated factor for cognitive frailty.

Creatinine-to-cystatin C ratio and frailty in older adults: a longitudinal cohort study

BackgroundCreatinine-to-cystatin C ratio (CCR) has been associated with multiple adverse outcomes. However, little is known about its relationship with frailty. We aimed to explore the association between CCR and frailty among older adults.MethodsA total of 2599 participants aged ≥ 60 years (mean age 67.9 ± 6.0 years, 50.4% males) were included from the China Health and Retirement Longitudinal Study (2011–2015). Baseline CCR was calculated as plasma creatinine (mg/dL) / cystatin C (mg/L) × 10 and was grouped by quartiles. Frailty was evaluated by the validated physical frailty phenotype (PFP) scale and was defined as PFP score ≥ 3. The generalized estimating equations model was used to explore the relationship between CCR and frailty.ResultsThe frailty risk decreased gradually with increasing CCR in the quartiles (P for trend = 0.002), and the fourth CCR quartile was associated with a significantly lower risk of frailty compared with the lowest quartile (odds ratio [OR] 0.37, 95% confidence interval [CI] 0.19–0.70). When modeling as a continuous variable, per 1-unit increase in CCR was related to 17% decreased odds of frailty (OR 0.83, 95% CI 0.74–0.93). The association was consistent in male and female participants (P for interaction = 0.41). Poisson models revealed that frailty score was negatively associated with CCR (β= -0.11, 95% CI= -0.19 to -0.04), and sex did not significantly moderate the associations (P for interaction = 0.22). The results were not affected by further adjusting for high-sensitivity C-reactive protein. Similar results were observed by analyses with multiple imputation technique and analyses excluding participants with baseline frailty.ConclusionsHigher CCR was associated with a lower frailty risk. CCR may be a simple marker for predicting frailty in older adults.