RATIONALE:

1. RATIONALE: To determine the prevalence of nutritional alert, its evolution during hospital stay and its relation with the most prevalent diagnoses, in the Hospital Universitario de la Princesa of Madrid. • METHODS • It is a retrospective study which analyzes the MDS databases for three years (with a total of 52269 patients) containing information about the diagnosis that has caused the hospitalization (coded as ICD-9) and the total score obtained by the nutritional screening tool CONUT® (Table 1), which assigns a nutritional alert (low, moderate or high) according to levels of serum albumin, total cholesterol and totallymphocyte count. • We selected the 50 most prevalent diagnoses among the patients who had completed these analytical parameters. • We compared the results of the first and last CONUT, and created a new variable (CONUT changes during the stay) with the following values: • - 2: patients admitted with low alert and discharged with moderate/ high alert • - 1: admitted and discharged with moderate/high alert • 0: admitted and discharged with low alert • +1: admitted with moderate/high alert and discharged with low • Diagnoses are ranked according to their prevalence of negative nutritional changes (-2, -1) during the stay. CHANGES ON NUTRITIONAL STATUS DURING HOSPITAL STAY AND ITS ASSOCIATION WITH THE MOST FREQUENT DIAGNOSES.ESPEN 2011 Congress Authors: A. González-Madroño, F. Rodríguez, G. Fernández, A. Mancha, A. Diaz, J.I. UlíbarriClinical Nutrition and Dietetic Unit . Hospital Universitario de la Princesa, Madrid, Spain. RESULTS TABLE II. PREVALENCE OF UNDERNUTRITION ALERT AS EVALUATED BY CONUT • Patients who had completed the analytical parameters included in the CONUT system. • **Percentage of patients who had completed analytical parameters out of all patients admitted to hospital (n=52269). TABLE III. CONUT CHANGES DURING THE STAY • As detailed in Methods. • **Percentage of patients who had worsen their nutritional status are show • in red. Gastroenterologydiseases Respiratorydiseases Kidneydiseases Malignat neoplasia • CONCLUSIONS • CONUT is a very useful tool for screening and monitoring changes on the nutritional alert status during hospital stay. • For different reasons half of patients admitted to hospital have not completed the analytical parameters to undergo a nutritional screening during hospital stay. • Almost half of the patients (43%) worsen their nutritional alert status during hospital stay. • The observed association between certain diagnoses and negative nutritional changes during hospital stay should lead to increased vigilance in those patients with such diagnoses and to promote a better nutritional intervention. • REFERENCES • CONUT: A tool for Controlling Nutritional Status. First validation in a hospital population. Ulibarri JI, Gonzalez-Madroño A, de Villar NGP et al. Nutr. Hosp. (2005) XX (I) 38-45. • The use of biochemical and immunological parameters in nutritional screening and assessment. A. González Madroño, A. Mancha, F. J. Rodríguez, J. I. de Ulibarri and J. Culebras.Nutr Hosp. 2011;26:594-601. AKNOWLEDGMENTS VEGENAT and NUTRICIA. For supporting this project. CORRESPONDENCE Ana González-Madroño Unidad de Nutrición Clínica y Dietética, Hospital Universitario La Princesa C/ Diego de León 62, 28006, Madrid, SPAIN, Tel: 34 915 202 401, E-mail address: ana_madrono@yahoo.com http://blog.conut.es