Objective:To determine frequency of dysphagia risk and associated factors in hospitalized patients as well as to evaluate nutritional status by using different methods and correlate the status with scores of the Eating Assessment Tool (EAT-10).Methods:This was a cross-sectional study including 909 inpatients of a philanthropic hospital. For the diagnosis of dysphagia we used an adapted and validated Brazilian version of the Eating Assessment Tool (EAT-10). The nutritional status was evaluated through the subjective global assessment, and anthropometric measurements included weight, calf and arm circumference, and knee height. The Mann-Whitney test, associations using the Pearson’s χ2 and Spearman’s correlation were used to verify differences between the groups.Results:The prevalence of dysphagia risk was 10.5%, and aging was the associated factor with this condition. Patients at risk presented lower values of arm and calf circumference, variables that correlated inversely with the Eating Assessment Tool (EAT-10) score. Malnutrition was observed in 13.2% of patients based on the subjective global assessment and in 15.2% based on the Body Mass Index.Conclusion:Screening for dysphagia and malnutrition should be introduced in hospitals routine to avoid or minimize damages caused by dysphagia or malnutrition, especially among older people.

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Background We evaluated the impact of Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) classification in time to discharge and verify whether the nutrition risk assessed by this method is an independent predictor of hospital length of stay (LOS) in pediatric inpatients. Methods A cohort study was conducted in a Brazilian hospital from February 2014 to July 2018. The outcome in the survivor analysis was hospital discharge. Kaplan‐Meier curves were used to estimate the cumulative survival time according to STRONGkids categories. Multivariable Cox proportional hazard models were fitted, and the adjusted hazard ratio (aHR), with respective 95% CI, was used to measure the strength of association. The discriminatory ability of STRONGkids was verified by a receiver operating characteristic curve Results A total 641 patients were included in the study: 54.9% males, median age of 2.8 years. The frequencies of low, moderate, and high nutrition risk were 15.6%, 63.7%, and 20.7%, respectively. The mean LOS was 5.9 days. Survival curves differed significantly according to nutrition‐risk categories. Patients classified as high risk had a 52% less chance of hospital discharge when compared with low‐risk patients (aHR: 0.48; 95% CI, 0.35–0.65). STRONGkids score ≥ 3 showed the best discriminatory power to identify LOS. From this score, there was a significant increase in the days of hospitalization. Conclusion The nutrition risk assessed by STRONGkids independently predicts LOS in pediatric patients. For this outcome, patients with 3 points (moderate risk) should be treated with the same priority as those with high risk.

A avaliação do estado nutricional de crianças hospitalizadas assume um papel fundamental na identificação precoce de riscos nutricionais. Assim, é de grande relevância identificar variáveis que exercem impacto no estado nutricional e na aceitação dos alimentos no ambiente hospitalar. O objetivo do trabalho foi avaliar o perfil nutricional de crianças internadas em um hospital e analisar as variáveis que exercem influência no diagnóstico nutricional e no consumo alimentar durante a hospitalização. O estado nutricional foi avaliado por meio da aferição de peso, comprimento/estatura, cálculo do Índice de Massa Corporal e avaliação dos índices antropométricos. A avaliação bioquímica foi realizada a partir das informações disponíveis no prontuário clínico. Os dados socioeconômicos, alimentares, de aleitamento materno e avaliação da aceitação das refeições oferecidas foram coletados por meio de aplicação de um questionário ao responsável pela criança. Participaram do estudo 208 crianças, sendo 61,5% do sexo masculino e mediana de idade de 21,5(6-59) meses. Quanto ao estado nutricional, 80% das crianças foram classificadas como eutróficas, 10% apresentavam magreza e 10% excesso de peso. As crianças com baixo peso tiveram mais linfocitopenia (p=0,038) e também foram as que apresentaram menor tempo de aleitamento materno exclusivo (p=0,015). As crianças que apresentaram concentrações elevadas de PCR e leucócitos apresentaram baixa aceitação da dieta oferecida (p=0,034 e p=0,040, respectivamente). Foram identificados fatores que se associaram ao baixo peso e a menor aceitação das refeições pelas crianças. Assim, atenção específica deve ser dada àquelas com alteração do estado inflamatório e com menor tempo de aleitamento materno exclusivo. Palavras-chave:Avaliação nutricional. Pediatria. Ingestão de alimentos. Hospitalização.The evaluation of nutritional status in hospitalized children plays a critical role in the early identification of nutritional risk. Thus, it is of great importance to identify variables that have an impact on nutritional status and acceptance of food in the hospital environment. The objective of this work to evaluate the nutritional status of hospitalized children, the variables that influence the nutritional diagnosis and food intake during hospitalization. Nutritional status was evaluated by measurement of weight, length / height, body mass index and anthropometric indices. The biochemical evaluation was performed based on the information available in the medical record. Socioeconomic, dietary and breastfeeding data and, evaluation of the acceptance of meals offered were obtained through a questionnaire to the responsable for the children. The study included 208 children, predominantly male (61.5%) and median age of 21.5 (6-59) months. In relation to nutritional status, 80% of children were classified eutrophic, 10% were thinness and 10% overweight. Children with low weight had more cases of lymphocytopenia (p = 0.038) and were also those who had shorter time of exclusive breastfeeding (p =...

A avaliação do estado nutricional é importante para detectar pacientes desnutridos ou em risco de desnutrição. A desnutrição está associada ao maior risco de infecção, complicações metabólicas, internações prolongadas e morbimortalidade. O objetivo do estudo foi avaliar o estado nutricional de indivíduos internados em um hospital e comparar os valores do peso corporal aferido com os estimados por fórmulas. O estudo foi do tipo transversal, durante 3 meses, com indivíduos internados pelo Sistema Único de Saúde, particular e por planos de saúde em um hospital geral. Realizou-se a avaliação nutricional em todos os indivíduos internados no período (n = 51) por meio da avaliação antropométrica, análise dos exames bioquímicos e avaliação nutricional subjetiva global. A análise dos dados constou de distribuição de frequências e medidas de tendência central e dispersão. Também foram feitas comparações de médias. Os resultados revelaram alta prevalência de anemia nos indivíduos (56,9%); a maioria deles (74,6%) apresentou leucócitos dentro da faixa de normalidade e linfócitos (65,5%) abaixo do desejável. A avaliação antropométrica identificou grande parte dos indivíduos com excesso de peso corporal (45,1%). Com relação à avaliação nutricional subjetiva global, a maioria apresentou eutrofia (92,2%). Não foi observada diferença entre a média do peso aferido e a média do peso estimado pelas fórmulas, sendo útil a sua aplicação em indivíduos acamados. A avaliação nutricional realizada precocemente auxiliou na identificação de indivíduos em risco nutricional ou desnutridos, permitindo a instituição da terapia nutricional adequada.

Background Studies have indicated the Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) as a method of pediatric nutrition screening with good validity in the hospital setting. However, we need to analyze whether the cutoff values originally proposed are suitable for use in Brazil. Methods A cross‐sectional study was performed in patients admitted to the pediatric ward of a public hospital. STRONGkids was used to assess nutrition risk (low risk, 0 points; moderate risk, 1–3 points; and high risk, 4–5 points). The indexes weight/height or body mass index/age were used to indicate acute malnutrition, and length or height/age was used to indicate chronic malnutrition. Receiver operating characteristic curves were constructed and the areas under the curve were calculated, with respective 95% confidence intervals, to assess the ability of STRONGkids to predict malnutrition and longer hospital stay. Results The study included 599 patients, with a median age of 2.6 years. The frequency of nutrition risk (medium or high) was 83.6%. In comparison with anthropometric indexes, STRONGkids was the only scoring system with the discriminatory capacity to identify patients with longer hospital stays. The comparative analysis of the means of hospital stay according to STRONGkids showed that patients with a score equal to 3 behaved similarly to those classified as high nutrition risk (4–5 points). Conclusions Considering the best cutoff point to predict prolonged hospitalization, STRONGkids used in Brazil should consider patients with 3 points as having high nutrition risk, as well those scoring 4 and 5.

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