Malnutrition and nutrition-related diseases are associated with hospital admissions, disability, institutionalization, and mortality in older people. Specialists in Geriatric Medicine and nutrition evaluate nutritional status as part of the comprehensive geriatric assessment; however, malnutrition still remains under-recognized and under-managed. Our survey explored nutrition assessment approaches used in daily clinical practice by geriatricians across Europe. A 19-item survey on methods and instruments for malnutrition assessment in geriatric settings, and details of any national guidelines, was sent to 40 postgraduate fellows of the European Academy of Medicine of Aging (EAMA, 2017-2019 class). Thirty-six of the 40 eligible EAMA participants, representing 14 European countries, responded. In clinical practice, MNA and MNA-SF were most frequently used for screening (44.1%, 52.9%, respectively) and diagnosing (45.7%, 40.0%) malnutrition. Weight loss (n = 36, 100%), body mass index (n = 30, 85.7%), and low energy/food intake (n = 27, 77.1%) were the most frequent clinical variables considered. The absolute and relative amount of weight loss, and over what time period, varied widely. These routinely considered clinical factors contribute to validated GLIM, ASPEN-AND and ESPEN criteria for diagnosis of malnutrition, but these criteria were seldom used (GLIM = 0%, ASPEN = 0%; n = 9, ESPEN = 25.7%). National guidelines were available in 9 of the 14 countries, and generally recommended MNA and MNA-SF for community-dwelling and hospitalized older patients. Albumin was often suggested as a nutritional marker. Nutritional assessment is systematically performed in geriatrics; but differs widely among geriatricians and countries. Harmonizing guidelines with the new international consensus might provide best-evidence care for older people across Europe.

OBJECTIVE: Poor recognition and monitoring of nutritional status is the most important cause of malnutrition in hospitalized patients. The aim of this study was to assess the nutritional status of a group of patients and compare the results with their serum prealbumin levels. METHODS: Ninety-seven patients admitted consecutively to the hospital were enrolled in the study. The risk of malnutrition was assessed according to anthropometric data and the Subjective Global Assessment and Nutrition Risk Screening 2002 tools. The nutritional statuses of the patients were compared with their age, gender, body mass index, medical history, weight loss and routine biochemical analyses, including prealbumin and length of hospital stay. RESULTS: According to the Nutrition Risk Screening 2002, 57% of the patients were malnourished or at risk of malnutrition, correlating well with the Subjective Global Assessment (p<0.001, r=0.700). Multivariate analysis revealed positive correlations between malnutrition and age, weight loss, malignancy and serum C-reative protein (p=0.046, p=0.001, p=0.04 and p=0.002). Nutrition Risk Screening 2002 score ³3 was associated with prolonged length of hospital stay (p=0.001). Serum prealbumin correlated with nutritional status, regardless of the number of chronic diseases and inflammation biomarkers (p=0.01). Serum prealbumin sensitivity, specificity, positive predictive value, negative predictive value and diagnostic value in the assessment of risk of malnutrition were 94%, 32%, 0.67, 0.78 and 69 respectively. After 7 days of nutritional support, the risk of malnutrition decreased by 12% (p<0.001) and serum prealbumin levels increased by 20% (p=0.003). CONCLUSION: Instead of reflecting overall nutritional status, low serum prealbumin may be regarded as a sign of increased risk of malnutrition, requiring further nutritional assessment. It can be used for monitoring patients receiving nutritional support. OBJETIVO: Falha no reconhecimento e acompanhamento do estado nutricional é a razão mais importante da desnutrição em pacientes hospitalizados. Este estudo objetivou avaliar o estado nutricional dos pacientes e comparar os resultados com os níveis séricos de pré-albumina. MÉTODOS: Foram incluídos 97 pacientes no estudo, internados consecutivamente. O risco de desnutrição foi avaliado de acordo com dados antropométricos e com a Avaliação Subjetiva Global e Triagem de Risco Nutricional 2002. Os estados nutricionais dos pacientes foram comparados com suas idades, sexo, índice de massa corporal, histórico médico, perda de peso e análises bioquímicas, incluindo pré-albumina e tempo de permanência hospitalar. RESULTADOS: De acordo com o Triagem de Risco Nutricional 2002, 57% dos pacientes estavam desnutridos ou em risco de desnutrição, apresentando boa correlação com o Avaliação Subjetiva Global (p<0,001, r=0,700). A análise multivariada mostrou correlações positivas entre desnutrição e idade, perda de peso, malignidade e proteína reativa-C (p=0,046, p=0,001, p=0,04 e p=0,002). Um escore ³3 no Triagem de Risco Nutricional 2002 foi associado à internação prolongada (p<0,001). Houve correlação entre pré-albumina sérica e o estado nutricional, independente do número de doenças crônicas e biomarcadores de inflamação (p=0,01). A sensibilidade, especificidade, valor preditivo positivo, valor preditivo negativo e valor diagnóstico da pré-albumina na avaliação do risco de desnutrição foram de 94%, 32%, 0,67, 0,78 e 69, respectivamente. Após sete dias de suporte nutricional, o risco de desnutrição caiu em 12% (p<0,001) e os níveis séricos de pré-albumina aumentaram em 20% (p=0,003). CONCLUSÃO: Ao invés de refletir o estado nutricional global do paciente, níveis séricos baixos de séricos de pré-albumina podem ser vistos como um sinal de maior risco de desnutrição, exigindo uma avaliação nutricional mais extensa. A análise sérica de pré-albumina pode ser usada para o monitoramento de pacientes recebendo suporte nutricional

Objectives: Malnutrition (MN) is prevalent in older adults and closely related to sarcopenia, frailty, morbidity, mortality, and decreased quality of life. In this study, we aimed to evaluate the effects of a personalized diet combined with planned physical exercise on nutritional status, physical performance, and quality of life (QoL) in malnourished older adult patients. Methods: In this prospective study, 20 older adults with MN risk according to the Mini Nutritional Assessment—Short Form (MNA-SF) were randomized into (i) personalized diet (PD) and (ii) personalized diet with physical exercise (PDE) groups, and followed up with for 12 weeks. The physical exercise included warm-up, strengthening, balance, and cooldown phases, with a frequency of 3–4 days per week. Anthropometric measurements, physical performance, and quality of life were assessed using standardized tools at baseline and at the 4th, 8th, and 12th weeks. QoL was measured using the EQ–5D index and EQ–5D visual analog scale (VAS) scores. Results: A total of 20 patients (55% male) participated in the study. During the study, BMIs, MNA-SF scores, and hand grip strength were increased, and the patients’ average duration on the Timed Up and Go (TUG) test decreased significantly in both groups. The EQ–5D index score of the PD group and the EQ–5D VAS scores of both groups were increased. Conclusions: A personalized diet with or without physical exercise therapy was associated with improved nutritional status, physical performance, and QoL.