Search

Aims: The assessment of frailty in older adults with heart failure (HF) is still debated. Here, we compare the predictive role and the diagnostic accuracy of physical vs. multidimensional frailty assessment on mortality, disability, and hospitalization in older adults with and without HF., Methods and Results: A total of 1077 elderly (≥65 years) outpatients were evaluated with the physical (phy-Fi) and multidimensional (m-Fi) frailty scores and according to the presence or the absence of HF. Mortality, disability, and hospitalizations were assessed at baseline and after a 24 month follow-up. Cox regression analysis demonstrated that, compared with phy-Fi score, m-Fi score was more predictive of mortality [hazard ratio (HR) = 1.05 vs. 0.66], disability (HR = 1.02 vs. 0.89), and hospitalization (HR = 1.03 vs. 0.96) in the absence and even more in the presence of HF (HR = 1.11 vs. 0.63, 1.06 vs. 0.98, and 1.14 vs. 1.03, respectively). The area under the curve indicated a better diagnostic accuracy with m-Fi score than with phy-Fi score for mortality, disability, and hospitalizations, both in absence (0.782 vs. 0.649, 0.763 vs. 0.695, and 0.732 vs. 0.666, respectively) and in presence of HF (0.824 vs. 0.625, 0.886 vs. 0.793, and 0.812 vs. 0.688, respectively)., Conclusions: The m-Fi score is able to predict mortality, disability, and hospitalizations better than the phy-Fi score, not only in absence but also in presence of HF. Our data also demonstrate that the m-Fi score has better diagnostic accuracy than the phy-Fi score. Thus, the use of the m-FI score should be considered for the assessment of frailty in older HF adults., (© 2020 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology.)

Background and Aim: Several measurements were taken for frailty classification in geriatric population. "Frailty index" is based on "deficits in health," but it is still not available in Italian version. Thus, the aim of the present work was to validate a version of "frailty index" for the Italian geriatric community., Methods: The validation of Italian frailty index (IFi) is based on a cohort study that enrolled 1077 non-disabled outpatients aged 65 years or older (81.3 ± 6.5 years) in Naples (Italy). IFi has been expressed as a ratio of deficits present/deficits considered after a comprehensive geriatric assessment. IFi was stratified in light, moderate and severe frailty. Mortality, disability (considering an increase in ADL lost ≥1 from the baseline) and hospitalization were considered at 3, 6, 12, 18 and 24 months of follow-up. Area under curve (AUC) was evaluated for both Fried's and IFi frailty index., Result: At the end of follow-up, mortality increased from 1.0 to 30.3%, disability from 40.9 to 92.3% and hospitalization from 0.0 to 59.0% (p < 0.001 for trend). Multivariate analysis shows that the relative risk for unit increase in IFi is 1.09 (95% CI = 1.01-1.17, p = 0.013) for mortality, 1.04 (95% CI = 1.01-1.06, p = 0.024) for disability and 1.03 (95% CI = 1.01-1.07, p = 0.041) for hospitalization. AUC is higher in IFi with respect to Fried's frailty index when considering mortality (0.809 vs. 0.658, respectively), disability (0.800 vs. 0.729, respectively) and hospitalization (0.707 vs. 0.646, respectively)., Conclusions: IFi is a valid measure of frailty after the comprehensive geriatric assessment in an Italian cohort of non-institutionalized patients.

Elderly people are characterized by a high prevalence of falls and sarcopenia. However, the relationship among Tinetti mobility test (TMT) score, a powerful tool to detect elderly people at risk of falls, and sarcopenia is still not thoroughly investigated. Thus, to determine the relationship between TMT score and muscle mass and strength, 337 elderly participants (mean age 77.1 ± 6.9 years) admitted to comprehensive geriatric assessment were enrolled. TMT score, muscle mass by bioimpedentiometer, and muscle strength by grip strength were evaluated. Muscle mass progressively decreased as TMT score decreased (from 15.3 ± 3.7 to 8.8 ± 1.8 kg/m 2 ; p for trend <0.001). Similarly, muscle strength decreased progressively as Tinetti score decreased (from 34.7 ± 8.0 to 23.7 ± 8.7 kg; p for trend 0.001). Linear regression analysis demonstrated that TMT score is linearly related with muscle mass (y = 4.5x + 0.4, r = 0.61; p < 0.01) and strength (y = 14.0x + 0.8, r = 0.53; p < 0.01). Multivariate analysis confirms the strong relationship between the TMT score and muscle mass (r = 0.48, p = 0.024) and strength (r = 0.39, p = 0.046). The present study indicates that TMT score is significantly related to muscle mass and strength in non-institutionalized elderly participants. This evidence suggests that TMT score, together with evaluation of muscle mass and strength, may identify sarcopenic elderly participants at high risk of falls., Competing Interests: The authors declare that they have no conflicts of interest. Funding The study was financially supported by AIFA (Agenzia Italiana del Farmaco) of the Italian Minister of Health (cod. FARM7K7XZB).

The slow and continuous loss of muscle mass that progresses with aging is defined as "sarcopenia". Sarcopenia represents an important public health problem, being closely linked to a condition of frailty and, therefore, of disability. According to the European Working Group on Sarcopenia in Older People, the diagnosis of sarcopenia requires the presence of low muscle mass, along with either low grip strength or low physical performance. However, age-related changes in skeletal muscle can be largely attributed to the complex interactions among factors including alterations of the neuromuscular junction, endocrine system, growth factors, and muscle proteins turnover, behavior-related and disease-related factors. Accordingly, the identification of a single biomarker of sarcopenia is unreliable, due to its "multifactorial" pathogenesis with the involvement of a multitude of pathways. Thus, in order to characterize pathophysiological mechanisms and to make a correct assessment of elderly patient with sarcopenia, a panel of biomarkers of all pathways involved should be assessed., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Aims: To determine the relationship between Butyryl-cholinesterase (α-glycoprotein synthesized in the liver, b-CHE) and muscle mass and strength., Methods: Muscle mass by bioimpedentiometer and muscle strength by grip strength were evaluated in 337 elderly subjects (mean age: 76.2 ± 6.7 years) admitted to comprehensive geriatric assessment., Results: b-CHE levels were lower in sarcopenic than in nonsarcopenic elderly subjects (p < 0.01). Linear regression analysis demonstrated that b-CHE is linearly related with grip strength and muscular mass both in men and women (r = 0.45 and r = 0.33, p < 0.01; r = 0.55 and r = 0.39, p < 0.01; respectively). Multivariate analysis confirms this analysis., Conclusions: b-CHE is related to muscle mass and strength in elderly subjects. Thus, b-CHE may be considered to be a fair biomarker for identifying elderly subjects at risk of sarcopenia.

The aging population is increasing and, therefore, a higher prevalence of cardiac disease is emerging; including hypertension, coronary artery disease, atrial fibrillation and chronic heart failure. Large cohort studies have revealed a relationship among increased risk for cognitive impairment and dementia in cardiovascular diseases probably due to embolic stroke or chronic cerebral hypoperfusion. Thus, the aim of the present review is to overview the studies that investigate the presence and/or the development of cognitive impairments and dementia in patients with varied types of cardiovascular disease. Finally, a continuum among hypertension, coronary artery disease, atrial fibrillation and chronic heart failure with to the development of cognitive impairment and progression to dementia has been hypothesized., (Copyright © 2014 Elsevier B.V. All rights reserved.)

Several markers have been associated with sarcopenia in the elderly, including bioelectrical indices. Phase angle (PhA) is an impedance parameter and it has been suggested as an indicator of cellular death. Thus, the relationship between PhA and muscle mass and strength was investigated in 207 consecutively elderly participants (mean age 76.2±6.7years) admitted for multidimensional geriatric evaluation. Muscle strength by grip strength using a hand-held dynamometer and muscle mass was measured by bioimpedentiometer. PhA was calculated directly with its arctangent (resistance/reactance×180°/π). Linear relationship among muscular mass and strength and with clinical and biochemical parameters, including PhA at uni- and multivariate analysis were performed. Linear regression analysis demonstrated that lower level of PhA is associated with reduction in grip strength (y=3.16+0.08x; r=0.49; p<0.001), and even more, with muscle mass (y=3.04+0.25x; r=0.60; p<0001). Multivariate analysis confirms these relationships (grip strength β=0.245, p=0.031; muscular mass β=0.623, p<0.01). Thus, PhA is inversely related to muscle mass and strength in elderly subjects and it may be considered a good bioelectrical marker to identify elderly patients at risk of sarcopenia., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Objective: Elderly subjects are characterized by a high prevalence of OA and clinical frailty. This study aimed to examine the predictive role of clinical frailty on long-term mortality in elderly subjects with and without OA., Methods: Mortality was evaluated after a 12-year follow-up in 698 subjects with and 590 subjects without OA recruited in 1992. Clinical frailty was assessed according to the Frailty Staging System and stratified in tertiles., Results: After a 12-year follow-up, mortality was 42.2% in subjects without and 55.8% in subjects with OA (P = 0.256). With increasing frailty, mortality increased by 30.5% (P for trend < 0.001) in subjects without and by 45.6% in subjects with OA (P for trend < 0.001). Multivariate analysis showed that frailty [hazard ratio (HR) = 1.49 for each unit of increase, 95% CI 1.32, 1.94, P < 0.001) but not OA (HR = 1.28, 95% CI 0.987, 1.39, P = 0.412) was predictive of long-term mortality. Moreover, when Cox regression analysis was performed, frailty enhanced the risk of long-term mortality for each unit of increase by 32% (HR = 1.32, 95% CI 1.06, 1.65, P = 0.03) in the absence of OA and by 98% in the presence (HR = 1.98, 95% CI 1.63, 2.95, P < 0.01) of OA., Conclusion: Clinical frailty significantly predicts mortality in subjects without OA and even more in those with OA. Thus clinical frailty may be considered a new prognostic factor to identify subjects with OA at high risk of mortality.

Treatment for chronic heart failure (CHF) is strongly focused on evidence-based medicine. However, large trials are often far away from the "real world" of geriatric patients and their messages are poorly transferable to the clinical management of CHF elderly patients. Precipitating factors and especially non-cardiac comorbidity may decompensate CHF in the elderly. More importantly, drugs of first choice, such as angiotensin-converting enzyme inhibitors and β-blockers, are still underused and effective drugs on diastolic dysfunction are not available. Poor adherence to therapy, especially for cognitive and depression disorders, worsens the management. Electrical therapy is indicated, but attention to the older age groups with reduced life expectancy has to be paid. Physical exercise, stem cells, gene delivery, and new devices are encouraging, but definitive results are still not available. Palliative care plays a key role to the end-stage of the disease. Follow-up of CHF elderly patient is very important but tele-medicine is the future. Finally, self-care management, caregiver training, and multidimensional team represent the critical point of the treatment for CHF elderly patients.