Effect of Baduanjin exercise on cerebral blood flow and cognitive frailty in the community older adults with cognitive frailty: A randomized controlled trial.

Objectives: Regular Baduanjin exercise training has been shown to be beneficial to the physical and cognitive health of older adults, but the underlying mechanisms remain to be investigated. This study examined the influence of Baduanjin on cerebral hemodynamics in community-dwelling older adults with cognitive frailty. Design: Randomized controlled trial. Methods: A total of 102 eligible participants were randomly allocated into the Baduanjin exercise intervention group (BEG) or usual physical activity control group (CG) for 24 weeks. Cerebral hemodynamic parameters of bilateral middle/anterior cerebral artery and basilar artery, cognitive ability and physical frailty were assessed using Transcranial Doppler (TCD), Montreal Cognitive Assessment (MoCA) and Edmonton Frailty Scale (EFS) at baseline and 24 weeks post-intervention. Results: After 24 weeks intervention, the changes in peak systolic velocity (PSV), mean blood flow velocity (MBFV), and end diastolic velocity (EDV) in the right middle cerebral artery and basilar artery were better in the BEG than in the CG; the increase in MoCA scores and the decrease in EFS scores were significantly higher in the BEG than in the CG. Moreover, the interaction of exercise and time on those variables showed obvious significance. Conclusions: The 24 weeks Baduanjin exercise training had a positive beneficial effect on cerebral blood flow in community-dwelling older adults with cognitive frailty. This may be a potential mechanism by which Baduanjin exercise improves the cognitive frailty in older adults. Trial registration: Chinese Clinical Trial Registry, ChiCTR1800020341. Date of registration: December 25, 2018, http://www.chictr.org.cn/showproj.aspx?proj=29846.

Mediation of age in the association between frailty and large artery atherosclerosis burden - A population study in community-dwelling older adults.

BACKGROUND: A systematic evaluation of the relationship between frailty and large artery atherosclerosis (LAA) burden has not been carried out. Here, we aimed to assess the association between these variables in community-dwelling older adults living in Atahualpa (rural Ecuador). METHODS: Participants underwent frailty assessment and determinations of LAA in several vascular beds. Frailty was estimated by the Edmonton Frailty Scale (EFS). LAA was investigated in the peripheral vascular bed by means of ankle-brachial index determinations, in the extracranial carotid bed by B-mode ultrasounds, and in the intracranial bed by high-resolution CT and time-of-flight MRA. Ordinal logistic regression with interaction models were fitted to assess the independent association between levels of cognitive frailty and the LAA burden. Casual mediation and sensitivity analysis, and the E value, evaluated the effect of age in this association. RESULTS: Out of 331 included individuals, 176 (53%) were robust and the remaining 47% were either pre-frail (n = 78) or frail (n = 77). Atherosclerosis affected only one (any) vascular bed in 111 (34%) individuals, two beds in 75 (23%), and three beds in 22 (7%); the remaining 123 (37%) had no evidence of atherosclerosis. Univariate analysis showed a significant inverse association between the robust status of cognitive frailty and LAA burden (p = 0.006). This association vanishes after considering the effect of covariates. Causal mediation analysis confirms that age captures 51.8% (95% C.I.: 34.6 to 97.2%) of the effect of the association. Sensitivity analysis and E-value computation find that the amount of bias provided by age is enough to explain away the effect estimate. CONCLUSIONS: This study found no independent relationship between cognitive frailty and LAA burden.

Assessment of frailty syndrome using Edmonton frailty scale in Polish elderly sample.

The aim of the study was to assess the incidence and severity of the frailty syndrome assessed with the Edmonton Frailty Scale. This is a cross-sectional study conducted among 382 patients (236 men and 146 women, mean age 71.9 years). The Edmonton Frailty Scale was administered during the patient's admission to the hospital. The Polish adaptation was performed using the standard methodology. The Cronbach's alpha coefficient for the whole Edmonton Frailty Scale was 0.709. The mean correlation between positions and the overall result was r = 0.180. There were no statistically significant differences between women and men in the area of Edmonton Frailty Scale mean score (p < 0.05). The socio-clinical analysis, showed statistically significant differences in the age of respondents, educational attainment, occupational activity, number of drugs taken and co-occurrence of chronic diseases. A higher values of the Edmonton Frailty Scale were indicated for individuals >70 years than for those <70 years (p < 0.001). The Edmonton Frailty Scale proved to be a reliable tool which may be used in the Polish population. The use of this questionnaire for frailty syndrome may be helpful in everyday clinical practice.

The impact of frailty on noninvasive mechanical ventilation in elderly medical intensive care unit patients.

AIM: Many factors affecting noninvasive ventilation (NIV) in critically ill patients have been reported in the literature, but there is no study about the effect of frailty. With this study, the frailty prevalence was evaluated with two different frailty scores among the NIV population of a medical intensive care unit (ICU). Besides, the impact of frailty on NIV success and mortality and its association with NIV application problems were evaluated. METHOD: A prospective observational cohort study was performed on patients who were over 50 years of age and assigned to NIV due to hypercapnic respiratory failure. For the assessment of frailty, Clinical Frailty Scale (CFS) and The Edmonton Frailty Scale (EFS) were used and the ones with CFS ≥5 and EFS ≥8 were considered as fragile. The study population was classified and compared according to NIV success, ICU outcome (discharge or exitus) and NIV application problems. RESULTS: A total of 103 patients with the mean age of 73 ± 11 years were included. The incidence of frailty was 41% with CFS ≥5 and 36% with EFS ≥8. The NIV failure occurred in 30 (29%) patients. Among them frailty and SOFA score was higher; Glasgow Coma Scale (GCS) was lower. In multivariate analysis GCS (OR: 1.2, p: 0.042) and frailty with EFS (OR: 2.8, p: 0.027) were identified as independent risk factors of NIV failure. Sixty-five (63%) patients had NIV application problems and frailty was higher among them with both CFS and EFS (p < 0.05). Mortality occurred in 18 (17%) patients; NIV failure and frailty according to CFS were independent risk factors of mortality. CONCLUSION: The frailty is associated with higher NIV application problems, failure and mortality risk in elderly ICU patients. The CFS and EFS frailty scores can be used to predict NIV success and outcomes in ICUs.

Employing the Multivariate Edmonton Scale in the Assessment of Frailty Syndrome in Heart Failure.

Background: Frailty syndrome (FS) is a syndrome characterized by a reduction in the body's physiological reserves as a result of the accumulation of reduced efficiency of many organs and systems. Experts of the Heart Failure Association of the European Society of Cardiology (ECS) emphasize the need to assess frailty in all patients with heart failure (HF). There is no specific scale dedicated to this group of patients. The aim of the study was to assess the occurrence of the frailty syndrome in heart failure using the multidimensional Edmonton Frailty Scale (EFS). Methods: The study included 106 patients diagnosed with heart failure with reduced left ventricular ejection fraction (LVEF < 40%). The average age was 62.6 ± 9.7 years. Most of the patients (84%) studied were men. In 70 people (66%), the cause of heart failure was coronary artery disease. The study group included patients admitted to hospital on a scheduled basis and with exacerbation of heart failure. Frailty was measured using the EFS before discharge from the hospital. Demographic, sociodemographic and clinical data were obtained. A 12-month follow-up period was included in the project. The number of readmissions after 6 and 12 months was assessed. Results: A correlation was observed between the New York Heart Association (NYHA) functional class and the occurrence of frailty­this applies to the assessment at the beginning and at the end of hospitalization. When analyzing the age of the patients in relation to frailty, a statistically significant difference was obtained. The youngest group in terms of age were non-frail patients. Hospitalization of people prone to development of the frailty syndrome and diagnosed with the FS was significantly more often associated with the occurrence of complications during hospital stays. Rehospitalizations for exacerbation of heart failure were much more frequent in patients with frailty. Conclusions: Assessment and monitoring of the state of increased sensitivity to the development of frailty or FS in patients with heart failure should influence the differentiation of clinical management. The Edmonton Questionnaire may be a helpful tool for the assessment of frailty in hospitalized patients with HF.

Utility and reliability of the Clinical Frailty Scale in patients scheduled for major vascular surgery: a prospective, observational, multicentre observer-blinded study.

BACKGROUND: Frailty is a distinctive health state associated with a loss of physiological reserve that results in higher rates of perioperative complications and impaired return to pre-morbid functional status. It is prevalent in the vascular population; however routine assessment is not common despite national guidance to the contrary. We aimed to evaluate the reliability of the Clinical Frailty Scale in assessing frailty in the surgical vascular population. METHODS: In this prospective, observational, observer-blinded study, we compared assessment of frailty in patients scheduled for major vascular surgery attending the pre-operative assessment clinic using the Clinical Frailty Scale against the Edmonton Frailty Scale. The study investigator completed the Edmonton Frailty Scale assessment; this was compared to the Clinical Frailty Scale assessments performed by the pre-assessment consultant and pre-assessment nurse, who were blinded to the Edmonton Frailty Scale score. The inter-rater reliability of the Clinical Frailty Scale between the pre-assessment consultant and pre-assessment nurse was determined by comparing their frailty scores for each patient. RESULTS: Ninety-seven patients were included in the analysis (median age 72 years, 84% male and 16% female). There was a moderate level of agreement between the Edmonton and Clinical Frailty Scale score for both consultants (87.6% agreement) and pre-assessment nurses (87.6% agreement). There was a substantial level of agreement between consultants and pre-assessment nurses for the Clinical Frailty Scale (89.7% agreement) CONCLUSIONS: The Clinical Frailty Scale is a useful tool to assess frailty in the vascular surgical population. It is more practical than the Edmonton Frailty Scale: quick to complete, requires minimal training and can be used when physical disability is present. TRIAL REGISTRATION: The study was approved by the Wales Health and Care Research Ethics Service (REC reference 17/WA/0160, IRAS 201173). TRIAL REGISTRATION: NCT03403673. Registered 19 January 2018, https://clinicaltrials.gov/ct2/show/NCT03403673.

The Association Between Body Mass Index, Frailty and Long-Term Clinical Outcomes in Hospitalized Older Adults.

BACKGROUND: While frailty is thought to be a wasting disorder, there is scarce data regarding the association between frailty and body mass index (BMI). The aim of this study was to determine the relationship between BMI, frailty, and mortality among hospitalized older adults. METHODS: This is a secondary analysis of a prospective cohort study of patients aged ≥65 years admitted to a tertiary center between 2014 and 2016. Frailty was assessed by Reported Edmonton Frailty Scale (REFS) and categorized as: not frail, vulnerable/mild frail, and moderate/severe frail. BMI (kg/m2) was categorized as: underweight (<18.5), normal (18.5-24.9), overweight (25.0- 29.9), or obese (≥ 30.0). Primary outcome was all-cause one-year mortality. RESULTS: Among 769 patients included in the study, 55.4% were frail. There was no statistically significant association between frailty categories and levels of BMI. Frail patients had a higher risk of death than non-frail after adjusting for confounders [HR: 1.98, 95% CI (1.46, 2.70) for mild frail and HR 2.03, 95% CI (1.43, 2.87) for moderate/severe frail]. Compared with normal weight patients, those who were overweight had a survival advantage if they were non-frail [HR 0.55, 95% CI (0.31, 0.96)] or vulnerable/mild frail [HR 0.65, 95% CI (0.43, 0.97)] but not if they were moderate/severe frail. There were no other statistically significant differences in survival by BMI and frailty categories. CONCLUSIONS: We did not find a relationship between BMI and frailty among hospitalized older adults. Overweight patients had a survival advantage if they were non-frail or vulnerable. There is need for further longitudinal studies assessing the interaction between frailty and BMI in older adults.

Frailty Is Associated With Early Hospital Readmission in Older Medical Patients.

Given the pervasiveness of frailty and its negative effects on health care-related outcomes, we evaluated patient frailty and comorbidity and determined the relationship between these measures and the probability of early readmission and length of hospital stay. Our retrospective analysis includes 435 patients evaluated using the Reported Edmonton Frailty Scale and the Age-Adjusted Charlson Comorbidity Index. We found that frailty as measured by the Reported Edmonton Frailty Scale was a significant predictor of hospital readmission and length of stay, and frailty outperformed the explanatory power of our comorbidity metric. One unit of increase in the Reported Edmonton Frailty Scale increased the odds of readmission by a factor of 1.12 (95% confidence interval [CI]: [1.04, 1.20]), and an increase of 10 units tripled the odds of readmission (odds ratio = 3.02, 95% CI: [1.48, 6.24]). These findings underscore the importance of prompt identification and management of frailty by bedside clinicians.

Associations between brain volumetry and relaxometry signatures and the Edmonton Frail Scale in frailty.

BACKGROUND: Frailty is a geriatric condition characterized by a decreased reserve. The Edmonton frailty scale (EFS) has been widely used as an assessment tool in clinical practice. However, the brain's underlying pathophysiological changes in frailty and their associations with the EFS remain unclear. This study aimed to explore the associations between brain volumetry and relaxometry signatures and the EFS (and each domain score of the EFS) in frailty. METHODS: A total of 40 non-demented subjects were enrolled in this prospective study. Frailty assessment was performed for each subject according to the EFS. All subjects underwent synthetic magnetic resonance imaging (MRI) (MAGnetic resonance image Compilation, MAGiC) and three-dimensional fast spoiled gradient-recalled echo (3D-FSPGR) T1-weighted structural image acquisitions on a 3.0 T MR scanner. Brain segmentation was performed based on quantitative values obtained from the MAGiC and 3D-FSPGR images. Volumetry and relaxometry of the global brain and regional gray matter (GM) were also obtained. The associations between the total EFS score (and the score of each domain) and the brain's volumetry and relaxometry were investigated by partial correlation while eliminating the effects of age. Multiple comparisons of regional GM volumetry and relaxometry analyses were controlled by false discovery rate (FDR) correction. All data were analyzed using the SPSS 13.0 statistical package (IBM, Armonk, NY, USA) and MATLAB (MathWorks, Natick, MA, USA). RESULTS: For global volumetry, significant correlations were found between multiple global volumetry parameters and the EFS, as well as the cognition score, functional independence score, nutrition score, and functional performance score (P<0.05). For global relaxometry, notable positive correlations were found between the T2 values of gray and white matter (WM) and the EFS (r=0.357, P=0.026; r=0.357, P=0.026, respectively). Significant correlations were also identified between the T2 value of GM, the T1, T2, and PD values of WM, and the cognition score (r=0.426, P=0.007; r=0.456, P=0.003; r=0.377, P=0.018; r=0.424, P=0.007, respectively), functional independence score (r=-0.392, P=0.014; r=-0.611, P<0.001; r=-0.367, P=0.022; r=-0.569, P<0.001, respectively), and functional performance score (r=0.337, P=0.036; r=0.472, P=0.002; r=0.354, P=0.027; r=0.376, P=0.018, respectively). For regional GM volumetry, multiple regions showed significant negative correlations with the EFS (P<0.05). Notable negative correlations were found between multiple regional GM volume and the functional independence score (P<0.05). For regional GM relaxometry, the T1 and T2 values of several regions showed significant negative correlations with the functional independence score (T1 value of caudate, r=-0.617, P<0.001; T2 value of insula, r=-0.510, P=0.015; T2 value of caudate, r=-0.633, P<0.001, respectively). No significant correlation was found between the domain scores of the EFS and regional GM PD values (P>0.05). CONCLUSIONS: In conclusion, brain volumetry and relaxometry signatures showed strong associations with the EFS and some EFS domain scores in frailty. These associations may reveal the possible underlying pathophysiology of the EFS and different domains of the EFS.

Neuroimaging signatures of frailty: A population-based study in community-dwelling older adults (the Atahualpa Project).

AIMS: Frailty is a geriatric state of physical vulnerability that might be associated with cognitive decline in the absence of a concurrent neurodegenerative disorder. This assumes that neuroimaging studies are normal, but such examinations have rarely been considered for a frailty work-up. The present study identifies neuroimaging signatures in older adults interviewed with the Edmonton Frail Scale (EFS). METHODS: Community-dwellers aged ≥60 years enrolled in the Atahualpa Project were invited to undergo brain magnetic resonance imaging. Using generalized regression models, we evaluated the association between frailty and diffuse cortical and subcortical brain damage, after adjusting for relevant confounders. Multivariate models estimated the interaction of age in the association between frailty and these neuroimaging signatures. RESULTS: Out of 298 participants (mean age 70 ± 8 years, 57% women), 151 (51%) had moderate-to-severe cortical atrophy and 74 (25%) had moderate-to-severe white matter hyperintensities of presumed vascular origin. Mean EFS scores were 5 ± 3 points, with 140 (47%) individuals classified as robust, 65 (22%) as pre-frail and 93 (31%) as frail. Multivariate models showed a significant association between cortical atrophy with the continuous (P = 0.002) and the categorized (P = 0.008) EFS score. The relationship between white matter hyperintensities and the EFS was marginal. According to interaction models, prefrail or frail individuals aged ≥67 years presented more prominent neuroimaging signatures of diffuse cortical or subcortical damage than their robust counterparts. CONCLUSIONS: Neuroimaging signatures of frailty are mainly related to age. This reinforces the importance of early frailty detection to reduce its catastrophic consequences. Geriatr Gerontol Int 2017; 17: 270-276.

Association between frailty and delirium in older adult patients discharged from hospital.

BACKGROUND: Delirium and frailty - both potentially reversible geriatric syndromes - are seldom studied together, although they often occur jointly in older patients discharged from hospitals. This study aimed to explore the relationship between delirium and frailty in older adults discharged from hospitals. METHODS: Of the 221 patients aged >65 years, who were invited to participate, only 114 gave their consent to participate in this study. Delirium was assessed using the confusion assessment method, in which patients were classified dichotomously as delirious or nondelirious according to its algorithm. Frailty was assessed using the Edmonton Frailty Scale, which classifies patients dichotomously as frail or nonfrail. In addition to the sociodemographic characteristics, covariates such as scores from the Mini-Mental State Examination, Instrumental Activities of Daily Living scale, and Cumulative Illness Rating Scale for Geriatrics and details regarding polymedication were collected. A multidimensional linear regression model was used for analysis. RESULTS: Almost 20% of participants had delirium (n=22), and 76.3% were classified as frail (n=87); 31.5% of the variance in the delirium score was explained by frailty (R (2)=0.315). Age; polymedication; scores of the Confusion Assessment Method (CAM), instrumental activities of daily living, and Cumulative Illness Rating Scale for Geriatrics; and frailty increased the predictability of the variance of delirium by 32% to 64% (R (2)=0.64). CONCLUSION: Frailty is strongly related to delirium in older patients after discharge from the hospital.