In 2010, the definition of cachexia was jointly developed by the European Society for Clinical Nutrition and Metabolism (ESPEN) Special Interest Groups (SIG) "Cachexia-anorexia in chronic wasting diseases" and "Nutrition in geriatrics". Cachexia was considered as a synonym of disease-related malnutrition (DRM) with inflammation by the ESPEN guidelines on definitions and terminology of clinical nutrition. Starting from these concepts and taking into account the available evidence the SIG "Cachexia-anorexia in chronic wasting diseases" conducted several meetings throughout 2020-2022 to discuss the similarities and differences between cachexia and DRM, the role of inflammation in DRM, and how it can be assessed. Moreover, in line with the Global Leadership Initiative on Malnutrition (GLIM) framework, in the future the SIG proposes to develop a prediction score to quantify the individual and combined effect(s) of multiple muscle and fat catabolic mechanisms, reduced food intake or assimilation and inflammation, which variably contribute to the cachectic/malnourished phenotype. This DRM/cachexia risk prediction score could consider the factors related to the direct mechanisms of muscle catabolism separately from those related to the reduction of nutrient intake and assimilation. Novel perspectives in the field of DRM with inflammation and cachexia were identified and described in the report.
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The aim of this systematic review was to examine the association between malnutrition and oral health in older people (≥ 60 years of age). A comprehensive systematic literature search was performed in four databases (PubMed, CINAHL, Dentistry and Oral Sciences Source, and Embase) for literature from January 2000 to May 2020. Both observational and intervention studies were screened for eligibility. Two reviewers independently screened the search results to identify potential eligible studies, and assessed the methodological quality of the full-text studies. A total of 3240 potential studies were identified. After judgement for relevance, 10 studies (cross-sectional (n = 9), prospective cohort (n = 1)) met the inclusion criteria. Three studies described malnourished participants as having fewer teeth, or functional (tooth) units (FTUs), compared to well-nourished participants. Four studies reported soft tissue problems in malnourished participants, including red tongue with blisters, and dry or cracked lips. Subjective oral health was the topic in six studies, with poorer oral health and negative self-perception of oral health in malnourished elderly participants. There are associations between (at risk of) malnutrition and oral health in older people, categorized in hard and soft tissue conditions of the mouth, and subjective oral health. Future research should be focused on longitudinal cohort studies with proper determination of malnutrition and oral health assessments, in order to evaluate the actual association between malnutrition and oral health in older people.
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Background: Disease-related malnutrition is a significant problem in hospitalized patients, with high prevalence rates depending on the studied population. Internal Medicine wards are the backbone of the hospital setting. However, prevalence and determinants of malnutrition in these patients remain unclear. We aimed to determine the prevalence of malnutrition in Internal Medicine wards and to identify and characterize malnourished patients. Methods: A cross-sectional observational multicentre study was performed in Internal Medicine wards of 24 Portuguese hospitals during 2017. Demographics, hospital admissions during the previous year, type of admission, primary diagnosis, Charlson comorbidity index, and education level were registered. Malnutrition at admission was assessed using Patient-Generated Subjective Global Assessment (PG-SGA). Demographic characteristics were compared between well-nourished and malnourished patients. Logistic regression analysis was used to identify determinants of malnutrition. Results: 729 participants were included (mean age 74 years, 51% male). Main reason for admission was respiratory disease (32%). Mean Charlson comorbidity index was 5.8 ± 2.8. Prevalence of malnutrition was 73% (56% moderate/suspected malnutrition and 17% severe malnutrition), and 54% had a critical need for multidisciplinary intervention (PG-SGA score ≥9). No education (odds ratio [OR] 1.88, 95% confidence interval [CI]: 1.16–3.04), hospital admissions during previous year (OR 1.53, 95%CI: 1.05–2.26), and multiple comorbidities (OR 1.22, 95%CI: 1.14–1.32) significantly increased the odds of being malnourished. Conclusions: Prevalence of malnutrition in the Internal Medicine population is very high, with the majority of patients having critical need for multidisciplinary intervention. Low education level, admissions during previous year, and multiple comorbidities increase the odds of being malnourished.
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Background & aims: Malnutrition, frailty, physical frailty, and disability are common conditions in patients with chronic obstructive pulmonary disease (COPD). Insight in the coexistence and relations between these conditions may provide information on the nature of the relationship between malnutrition and frailty. Such information may help to identify required interventions to improve the patient's health status. We therefore aimed to explore whether malnutrition, frailty, physical frailty, and disability coexist in patients with COPD at the start of pulmonary rehabilitation. Methods: For this cross-sectional study, from March 2015 to May 2017, patients with COPD were assessed at the start of a pulmonary rehabilitation program. Nutritional status was assessed with the Scored Patient-Generated Subjective Global Assessment (PG-SGA) based Pt-Global app. Frailty was assessed by the Evaluative Frailty Index for Physical activity (EFIP), physical frailty by Fried's criteria, and disability by the Dutch version of World Health Organization Disability Assessment Schedule 2.0 (WHODAS). These variables were dichotomized to determine coexistence of malnutrition, frailty, physical frailty, and disability. Associations between PG-SGA score and respectively EFIP score, Fried's criteria, and WHODAS score were analyzed by Pearson's correlation coefficient. Two tailed P-values were used, and significance was set at P < 0.05. Results: Of the 57 participants included (age 61.2 ± 8.7 years), malnutrition and frailty coexisted in 40%. Malnutrition and physical frailty coexisted in 18%, and malnutrition and disability in 21%. EFIP score and PG-SGA score were significantly correlated (r = 0.43, P = 0.001), as well as Fried's criteria and PG-SGA score (r = 0.37, P = 0.005). Conclusions: In this population, malnutrition substantially (40%) coexists with frailty. Although the prevalence of each of the four conditions is quite high, the coexistence of all four conditions is limited (11%). The results of our study indicate that nutritional interventions should be delivered by health care professionals across multiple disciplines.
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Background: after hospitalisation for cardiac disease, older patients are at high risk of readmission and death. Objective: the cardiac care bridge (CCB) transitional care programme evaluated the impact of combining case management, disease management and home-based cardiac rehabilitation (CR) on hospital readmission and mortality. Design: single-blind, randomised clinical trial. Setting: the trial was conducted in six hospitals in the Netherlands between June 2017 and March 2020. Community-based nurses and physical therapists continued care post-discharge. Subjects: cardiac patients ≥ 70 years were eligible if they were at high risk of functional loss or if they had had an unplanned hospital admission in the previous 6 months. Methods: the intervention group received a comprehensive geriatric assessment-based integrated care plan, a face-to-face handover with the community nurse before discharge and follow-up home visits. The community nurse collaborated with a pharmacist and participants received home-based CR from a physical therapist. The primary composite outcome was first all-cause unplanned readmission or mortality at 6 months. Results: in total, 306 participants were included. Mean age was 82.4 (standard deviation 6.3), 58% had heart failure and 92% were acutely hospitalised. 67% of the intervention key-elements were delivered. The composite outcome incidence was 54.2% (83/153) in the intervention group and 47.7% (73/153) in the control group (risk differences 6.5% [95% confidence intervals, CI -4.7 to 18%], risk ratios 1.14 [95% CI 0.91-1.42], P = 0.253). The study was discontinued prematurely due to implementation activities in usual care. Conclusion: in high-risk older cardiac patients, the CCB programme did not reduce hospital readmission or mortality within 6 months.
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Background: Early identification of older cardiac patients at high risk of readmission or mortality facilitates targeted deployment of preventive interventions. In the Netherlands, the frailty tool of the Dutch Safety Management System (DSMS-tool) consists of (the risk of) delirium, falling, functional impairment, and malnutrition and is currently used in all older hospitalised patients. However, its predictive performance in older cardiac patients is unknown. Aim: To estimate the performance of the DSMS-tool alone and combined with other predictors in predicting hospital readmission or mortality within 6 months in acutely hospitalised older cardiac patients. Methods: An individual patient data meta-analysis was performed on 529 acutely hospitalised cardiac patients ≥70 years from four prospective cohorts. Missing values for predictor and outcome variables were multiply imputed. We explored discrimination and calibration of: (1) the DSMS-tool alone; (2) the four components of the DSMS-tool and adding easily obtainable clinical predictors; (3) the four components of the DSMS-tool and more difficult to obtain predictors. Predictors in model 2 and 3 were selected using backward selection using a threshold of p = 0.157. We used shrunk c-statistics, calibration plots, regression slopes and Hosmer-Lemeshow p-values (PHL) to describe predictive performance in terms of discrimination and calibration. Results: The population mean age was 82 years, 52% were males and 51% were admitted for heart failure. DSMS-tool was positive in 45% for delirium, 41% for falling, 37% for functional impairments and 29% for malnutrition. The incidence of hospital readmission or mortality gradually increased from 37 to 60% with increasing DSMS scores. Overall, the DSMS-tool discriminated limited (c-statistic 0.61, 95% 0.56-0.66). The final model included the DSMS-tool, diagnosis at admission and Charlson Comorbidity Index and had a c-statistic of 0.69 (95% 0.63-0.73; PHL was 0.658). Discussion: The DSMS-tool alone has limited capacity to accurately estimate the risk of readmission or mortality in hospitalised older cardiac patients. Adding disease-specific risk factor information to the DSMS-tool resulted in a moderately performing model. To optimise the early identification of older hospitalised cardiac patients at high risk, the combination of geriatric and disease-specific predictors should be further explored.
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Expectations are high for digital technologies to address sustainability related challenges. While research into such applications and the twin transformation is growing rapidly, insights in the actual daily practices of digital sustainability within organizations is lacking. This is problematic as the contributions of digital tools to sustainability goals gain shape in organizational practices. To bridge this gap, we develop a theoretical perspective on digital sustainability practices based on practice theory, with an emphasis on the concept of sociomateriality. We argue that connecting meanings related to sustainability with digital technologies is essential to establish beneficial practices. Next, we contend that the meaning of sustainability is contextspecific, which calls for a local meaning making process. Based on our theoretical exploration we develop an empirical research agenda.
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Background: The increase in life expectancy has brought about a higher prevalence of chronic illnesses among older people. Objectives: To identify common chronic illnesses among older adults, to examine the influence of such conditions on their Health-Related Quality of Life (HRQoL), and to determine factors predicting their HRQoL. Method: A population-based cross-sectional study was conducted involving 377 individuals aged 60 years and above who were selected using multi-stage sampling techniques in Olorunda Local Government, Osun State, Nigeria. Data were collected using an interviewer-administered questionnaire comprising socio-demographic characteristics, chronic illnesses, and the World Health Organization quality of life instrument (WHOQOL-BREF) containing physical health, psychological, social relationships, and environmental domains. Results: About half (51.5%) of the respondents reported at least one chronic illness which has lasted for 1–5 years (43.3%). The prevalence of hypertension was 36.1%, diabetes 13.9% and arthritis 13.4%. Respondents with chronic illness had significantly lower HRQoL overall and in the physical health, social relationships and the environmental domains (all p<0.05) compared to those without a chronic illness. Factors that predicted HRQoL include age, marital status, level of education, the presence of chronic illness and prognosis of the condition. Conclusion: This study concluded that chronic illness is prevalent in Nigerian older people and significantly influence their HRQoL. Age, marital status, and level of education were associated with HRQoL in this group.
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Malnutrition, especially among the elderly in the healthcare environment, is a prevalent problem in The Netherlands, affecting both patients and the healthcare budget. Although oral nutritional supplements (ONS) are often used to restore the nutritional status of a patient, the evaluated current available literature failed to show a coherent picture of the effectiveness of ONS in malnourished patients. In the present study, we used a qualitative research approach to gain insight in the treatment of malnutrition via ONS and food snacks in a single non-academic teaching hospital. Twelve semi-structured interviews with stakeholders (such as dieticians, nurses, care-assistants, physician) were held. Results indicated opportunities for further improvement, for example through the introduction of a screening tool for malnutrition in cognitive impaired patients, better timing for handing out the daily meal plan forms, and improved range and provision of snacks. The stakeholders indicated that taste and physical properties of ONS, but also social environment as well as the physical/mental state and motivation of a patient are important facilitators which should be considered during the prescription. In conclusion, to optimize treatment of malnutrition using ONS and food snacks, the above mentioned opportunities to better match the needs of malnourished patients have to be tackled. Involvement of the different stakeholders within the healthcare facility will be important to implement required changes in nutritional practice.
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