• Rev Bras Ter Intensiva · Jun 2011

    Impact of the adequacy of energy intake on intensive care unit mortality in patients receiving enteral nutrition.

    • Natália Sanchez Oliveira, Lúcia Caruso, Denise Pimentel Bergamaschi, Flávia de Conti Cartolano, and Francisco Garcia Soriano.
    • Universidade de São Paulo, São Paulo, SP, Brasil.
    • Rev Bras Ter Intensiva. 2011 Jun 1; 23 (2): 183-9.

    ObjectiveTo investigate the relationship between adequacy of energy intake and intensive care unit mortality in patients receiving exclusive enteral nutrition therapy.MethodsObservational and prospective study conducted during 2008 and 2009. Patients above 18 years with exclusive enteral nutrition therapy for at least 72 hours were included. The adequacy of energy intake was estimated by the administered/prescribed ratio. Non-conditional logistic regression was used to assess the relationship between predictive variables (adequacy of energy intake, APACHE II, gender, age, and intensive care unit length of stay) and intensive care unit mortality.ResultsSixty-three patients (mean 58 years, 27% mortality) were included, 47.6% of whom received more than 90% of the energy prescribed (mean adequacy 88.2%). Mean energy balance was -190 kcal/day. Significant associations between death in the intensive care unit and the variables age and intensive care unit length of stay were observed, after removing the variables adequacy of energy intake, APACHE II, gender and age during the modeling process.ConclusionIn our study, adequacy of energy intake did not affect intensive care unit mortality. Carefully followed enteral nutrition protocols, resulting in an administered/prescribed ratio above 70%, are apparently not sufficient to impact the mortality rates in the intensive care unit. Therefore, it may not be necessary to achieve 100% of the targeted energy, considering the high frequency of enteral feeding interruptions due to gastrointestinal intolerance and fasting for tests and procedures. Additional research is needed to identify the optimal energy intake for improved outcomes and reduced costs.

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