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World J Surg ; 33(8): 1633-40, 2009 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-19387725

RESUMO

BACKGROUND: Screening for malnutrition is recommended in hospitalized and planned surgical patients. The aim of this study was to analyze the feasibility and routine prognostic value of using the principal recommended nutritional screening and evaluation tools for cancer patients undergoing major surgery. METHODS: This study is a prospective, 3-month, multicenter observational trial recording weight loss, body mass index, albumin, transthyretin, and PG-SGA. The morbidity rate was assessed on the basis of major complications (MC), whether of an infectious (MIC) or noninfectious (MNIC) nature. RESULTS: Two hundred seventy-five patients were recruited at nine centers. The following percentages were recorded with respect to morbidity: 28.4% MC, 12.7% MIC, and 22.2% MNIC. Univariate analysis revealed a statistical association only between weight loss greater than 10% and MIC and hospital stay. A weight loss of 15% is required to demonstrate an association with either MC, MIC, or MNIC. Body mass index (BMI) was associated only with MNIC, PG-SGA with MC, and albumin <30 g/l was strongly associated with all types of morbidity (MC, MIC, MNIC). Multivariate analysis indicated that only albumin <30 g/l and an operating time of more than 4 h are significantly associated with morbidity. CONCLUSIONS: In this study, the best nutritional factor for detecting the risk of MC is albumin levels below 30 g/l. A weight loss greater than 15% is required to obtain a statistically significant correlation with the existence of MC.


Assuntos
Desnutrição/diagnóstico , Neoplasias/cirurgia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Albuminas/análise , Índice de Massa Corporal , Distribuição de Qui-Quadrado , Estudos de Viabilidade , Feminino , Humanos , Infecções/epidemiologia , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Complicações Pós-Operatórias/epidemiologia , Pré-Albumina/análise , Prognóstico , Estudos Prospectivos , Curva ROC , Fatores de Risco , Redução de Peso
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