Frailty and the interactions between skeletal muscle, bone, and adipose tissue-impact on cardiovascular disease and possible therapeutic measures

ME Soto, I Pérez-Torres, ME Rubio-Ruiz… - International Journal of …, 2023 - mdpi.com
Frailty is a global health problem that impacts clinical practice. It is complex, having a
physical and a cognitive component, and it is the result of many contributing factors. Frail …

EHRA expert consensus document on the management of arrhythmias in frailty syndrome, endorsed by the heart rhythm society (HRS), Asia Pacific heart rhythm …

I Savelieva, S Fumagalli, RA Kenny, S Anker… - Europace, 2023 - academic.oup.com
There is an increasing proportion of the general population surviving to old age with
significant chronic disease, multi-morbidity, and disability. The prevalence of pre-frail state …

Impact of frailty on disease-specific health status in cardiovascular disease

DD Nguyen, SV Arnold - Heart, 2023 - heart.bmj.com
Frailty is a syndrome of older age that reflects an impaired physiological reserve and
decreased ability to recover from medical stressors. While the impact of frailty on mortality in …

Effectiveness of supervised exercise, home-based exercise, or walk advice strategies on walking performance and muscle endurance in patients with intermittent …

A Sandberg, M Bäck, Å Cider, L Jivegård… - European Journal of …, 2023 - academic.oup.com
Aims Supervised exercise is a guideline-recommended treatment in intermittent claudication
(IC). Hospital-based supervised exercise programmes (SEPs) are underutilized, while home …

Which frailty tool best predicts morbidity and mortality in ambulatory patients with heart failure? A prospective study

S Sze, P Pellicori, J Zhang, J Weston… - … Heart Journal-Quality …, 2023 - academic.oup.com
Background Frailty is common in patients with heart failure (HF) and is associated with
adverse outcome, but it is uncertain how frailty should best be measured. Objectives To …

Predicting mortality and re-hospitalization for heart failure: A machine-learning and cluster analysis on frailty and comorbidity

C Okoye, T Mazzarone, F Niccolai… - Aging Clinical and …, 2023 - Springer
Background Machine-learning techniques have been recently utilized to predict the
probability of unfavorable outcomes among elderly patients suffering from heart failure (HF); …

Comparison of six frailty instruments in adults with heart failure: a prospective cohort pilot study

J McDonagh, C Ferguson, R Prichard… - European journal of …, 2023 - academic.oup.com
Aims To compare the frailty prevalence and predictive performance of six frailty instruments
in adults with heart failure and determine the feasibility of study methods. Methods and …

A systematic review of frailty scores used in heart failure patients

NBK Chokshi, B Karmakar, SK Pathan, V Joshi… - Heart, Lung and …, 2023 - Elsevier
Background Frailty is a complex, multi-dimensional syndrome commonly observed in
patients with heart failure (HF). The presence of frailty in patients living with HF is strongly …

Frailty and predictive factors in Chinese hospitalized patients with heart failure: a structural equation model analysis

Y Yang, Y Liu, Z Zhang, J Mao - European Journal of …, 2023 - academic.oup.com
Aims Frailty is closely related to the prognosis and quality of life of patients with heart failure
(HF). However, the predictors of it are still unclear. Our study aimed to describe the frailty …

Developing a parsimonious frailty index for older, multimorbid adults with heart failure using machine learning

J Razjouyan, MJ Horstman, AR Orkaby… - The American journal of …, 2023 - Elsevier
Frailty is associated with adverse outcomes in heart failure (HF). A parsimonious frailty index
(FI) that predicts outcomes of older, multimorbid patients with HF could be a useful resource …