Aplicabilidade dos métodos de triagem nutricional no paciente hospitalizado

Raslan, Mariana; González, Marı́a Cristina; Dias, Maria Carolina Gonçalves; Paes-Barbosa, F.; Cecconello, Ivan; Waitzberg, Dan Linetzky

doi:10.1590/s1415-52732008000500008

Cited by 48 publications

(42 citation statements)

References 28 publications

(45 reference statements)

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“…29 Logo, é necessário padronizar técnicas de avaliação antropométrica e rastreamento nutricional e sistematizar sua aplicação, já que detectar o risco de desnutrição, sobretudo na população idosa, auxilia na adequação do tratamento nutricional, previne a instalação da desnutrição e melhora a qualidade de vida. 30 …”

Section: Discussionunclassified

Avaliação antropométrica em idosos: estimativas de peso e altura e concordância entre classificações de IMC

Souza

Fraga

Gottschall

et al. 2013

Rev. bras. geriatr. gerontol.

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ResumoObjetivo: Avaliar a concordância entre diferentes classificações de Índice de Massa Corporal (IMC) e verificar modelos de fórmulas propostas para estimativa de peso e altura que podem ser aplicadas na população idosa do Sul do Brasil. Método: Estudo transversal que avaliou 131 idosos residentes de três instituições de longa permanência para idosos (ILPIs) no Sul do Brasil, por meio de uma avaliação antropométrica, utilizando peso, estatura, altura do joelho, dobra cutânea subescapular, circunferência da panturrilha, circunferência do braço, circunferência abdominal e hemienvergadura. Resultados: A idade média da amostra foi de 78,9 anos, sendo 41,2% homens e 58,8% mulheres. De acordo com a classificação da Organização Mundial da Saúde (OMS), apenas dois idosos (1,5%) apresentaram baixo-peso, 63 idosos (48,1%) foram classificados como eutróficos e 66 (50,4%) foram classificados com sobrepeso, obesidade grau I e II. Já os pontos de corte estipulados por Lipschitz determinaram que 21 idosos (16%) se encontram com baixo-peso, 69 (52,7%) eutróficos e 41 (31,3%) com sobrepeso. Ao comparar as medidas de peso e altura aferidas com as mesmas medidas estimadas, percebe-se que a única que não mostrou diferença significativa foi a fórmula de estimativa de altura de Rabito. Conclusão: Os pontos de corte utilizados apresentaram moderada concordância, sendo que Lipschitz salienta uma maior faixa de risco para desnutrição. Comparando as medidas de peso e altura aferidas com as medidas estimadas, foi observado que somente a fórmula de estimativa de altura de Rabito pode ser aplicada para esta população. AbstractObjective: Assessing the concordance between different classifications of body mass index (BMI) and verify if the formulas to estimate weight and height, that can be applied to the elderly population in Southern Brazil. Method: Cross-sectional analysis was applied to 131 elders from three long-stay institutions in Southern Brazil. They were Palavras-chave: Idoso. Índice de Massa Corporal. Instituição de Longa Permanência para Idosos. Antropometria.

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Section: Discussionunclassified

Avaliação antropométrica em idosos: estimativas de peso e altura e concordância entre classificações de IMC

Souza

Fraga

Gottschall

et al. 2013

Rev. bras. geriatr. gerontol.

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“…It is a complex evaluation and involves a combination of variables: current nutritional status, occurrence of underlying disease, severity of the disease and presence of risk situations (eg diarrhea, vomiting and loss of appetite). Patients at nutritional risk are more prone to nutritional status-related morbidity and have higher mortality [36].…”

Section: Nutritional Screening Tools For Pediatric Patientsmentioning

confidence: 99%

Hospital Malnutrition in Pediatric Patients: A Review

Mac¹

2017

Ann Nutr Disord Ther

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Malnutrition is common in pediatric inpatients, and nutritional status often deteriorates in the hospital. Although the prevalence of hospital malnutrition is high, this condition is ignored and consequently, not treated. The first step to fight malnutrition knows how to identify patients at greater risk of this condition. One way to identify them is by using risk screening tools, which should be used in all inpatients. Six screening tools have been created for pediatric patients, but none of these tools stood out. Nevertheless, the STRONGKids has been the most studied tool in many countries because of its ease and speed of use. In Brazil only STRONGKids has been translated and adapted, but just one study assessed its accuracy in our population, obtaining modest results. Hence, STRONGKids should be considered a preliminary tool, and its correlation with clinical data requires investigation.

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“…Malnutrition in hospitalized patients is still considered highly prevalent in most hospitals, with hospital malnutrition rates ranging from 15% to 60% (1,11,18,35,39) depending on the type of hospital, region, studied population and methods routinely used to investigate nutritional status (2,3,11,28,32) . These data have been used in an attempt to establish diagnostic and nutritional intervention strategies that reduce the impact of poor nutritional status and its implications on the disease, morbidity, mortality, length of hospital stay and, especially, to reverse the high hospital malnutrition rates (1,11,35,39) .…”

Section: Introductionmentioning

confidence: 99%

Investigation of nutritional risk factors using anthropometric indicators in hospitalized surgery patients

Leandro-Merhi

Aquino

2012

Arq. Gastroenterol.

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-Context -The investigation of risk factors associated with nutritional status could contribute for better knowledge of the malnutrition. Objective -To investigate the incidence of malnutrition and its possible association with many parameters that assess nutritional status and to identify the associated risk factors. Methods -The nutritional status was assessed in 235 hospitalized patients. Malnutrition was defined as present when the patient presented at least two anthropometric criteria below the normal range and habitual energy intake below 75% of the energy requirement (HEI/ER<75%). Gender, age, type of disease, recent weight change and dental problems were investigated as possible associated risk factors. The chi-square and Mann-Whitney tests were used to compare the data and univariate and multiple logistic regressions were used to identify the factors associated with malnutrition. The odds ratio (OR) and confidence interval (CI) of 95% were calculated with the significance level set at 5% (P<0.05). Results -One-fifth (20%) of the patients were malnourished on admission to the hospital and 27.5% reported recent weight loss. Malnutrition (P<0.0001) was greater in patients with malignant diseases. The only variables significantly associated with malnutrition according to univariate logistic regression were recent weight loss (P = 0.0058; OR = 2.909; IC95% = 1.362; 6.212) and malignant disease (P = 0.0001; OR = 3.847; IC95% = 1.948; 7.597). When multiple regression was used in the model which included type of disease, malignant disease was shown to increase the chance of malnutrition fourfold (P = 0.0002; OR = 3.855; IC95% = 1.914; 7.766). When disease was excluded, recent weight loss also increased malnutrition fourfold (P = 0.0012; OR = 3.716; IC95% = 1.677; 8.236). Conclusion -Patients with a history of recent weight loss and those with malignant diseases are more susceptible to malnutrition.

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Aplicabilidade dos métodos de triagem nutricional no paciente hospitalizado

Cited by 48 publications

References 28 publications

Avaliação antropométrica em idosos: estimativas de peso e altura e concordância entre classificações de IMC

Avaliação antropométrica em idosos: estimativas de peso e altura e concordância entre classificações de IMC

Hospital Malnutrition in Pediatric Patients: A Review

Investigation of nutritional risk factors using anthropometric indicators in hospitalized surgery patients

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