The recent publication of the revised Consensus on definition and diagnosis of sarcopenia (EWGSOP2) and the Global Leadership Initiative on Malnutrition (GLIM) criteria changed the approach to research on sarcopenia and malnutrition. Whilst sarcopenia is a nutrition-related disease, malnutrition and cachexia are nutritional disorders sharing the common feature of low fat-free mass. However, they have differential characteristics and etiologies, as well as specific therapeutic approaches. Applying the current definitions in clinical practice is still a challenge for health professionals and the potential for misdiagnosis is high. This is of special concern in the subgroup of older people with cancer, in which sarcopenia, malnutrition, and cancer cachexia are highly prevalent and can overlap or occur separately. The purpose of this review is to provide an updated overview of the latest research and consensus definitions of sarcopenia, malnutrition, and cachexia and to discuss their implications for clinical practice in older patients with cancer. The overall aim is to improve the quality of nutritional care in light of the latest findings.

Malnutrition has a negative impact on patients with chronic pulmonary obstructive disease (COPD). The purpose of this study was to assess the prevalence of malnutrition, defined by the Global Leadership Initiative for Malnutrition (GLIM), in stable COPD patients referred to pulmonary rehabilitation, and to explore potential associations of malnutrition according to GLIM, and its components, with increased risk of mortality and hospitalizations in 2 years. In a post-hoc analysis of a prospective cohort of 200 rehabilitation patients with stable COPD, main outcome variables were hospital admissions, length of stay, and mortality during a 2-year follow-up. Covariates were malnutrition according to GLIM and its phenotypic criteria: unintentional weight loss, low body mass index (BMI), and low fat-free mass (FFM). Univariate and multivariate analysis were performed using logistic and proportional hazard Cox regression. Malnutrition according to GLIM showed 45% prevalence and was associated with increased mortality risk. Low age-related BMI and FFM were independently associated with mortality, which persisted after adjustment for age and lung function. Malnutrition and low BMI were also associated with increased risk of hospitalization. Malnutrition according to GLIM criteria was highly prevalent in rehabilitation patients with COPD and was associated with nearly 3 times greater mortality and hospitalization risk.

Background Frailty is common among advanced chronic kidney disease (CKD) patients who are kidney transplant (KT) candidates, and predisposes to poor outcomes after transplantation. However, frailty is not routinely measured during pretransplant work-up and it is unknown which metric should be used in this specific population. Our aim was to establish frailty prevalence in KT candidates according to different frailty scales. Methods Prospective longitudinal study of 451 KT candidates evaluated for frailty by both Physical Frailty Phenotype (PFP) and FRAIL scale at the time of inclusion on the KT waiting list. Clinical and functional characteristics including sociodemographics, comorbidities, disability and nutritional status were recorded. Agreement between PFP and FRAIL scales as well as dissonant patients were analyzed. Results Mean age was 60.9 years and 31.7% were female. Comorbidity burden among patients was high, with 36.9% and 16.2% presenting with diabetes and ischemic coronary disease, respectively. Disabilities were also frequent. More than 70% of patients presented with ≥ 1 PFP criteria while this percentage for ≥ 1 FRAIL criteria was 45.4%. Agreement between PFP and FRAIL was not good (kappa index 0.317). There were 132 patients who were pre-frail or frail according to PFP but non-frail according to the FRAIL scale and they presented with fewer comorbidities and less disability. Conclusions Frailty is frequent in advanced CKD patients, although its prevalence may vary according to different scales. Agreement between PFP and FRAIL scale is not good, and FRAIL scale might misclassify as robust patients those frail/prefrail patients who are in better health conditions. Graphical abstract