S238
Poster
Results: Nutritional risk and DRE were 52.9% and 10%, respectively. MNA score showed significant differences between groups with BMI, mid-arm muscle and calf circumferences, lean body mass and serum prealbumin (at least, P < 0.05). MNA was directly correlated with % fat mass (r = 0.34; p < 0.001), mid-arm muscle circumference (r = 0.28; p = 0.003) and %lymphocytes (r = 0.31; p = 0.002), whereas an inverse significant correlation with hand-grip strength (right hand) (r = 0.84; p = 0.017) were found. Conclusion: Elderly people without functional limitations and cognitive impairment have also higher nutritional risk and/or DRE. Periodic screening and assessment of nutritional status prevents malnutrition and improve quality of live in elder people. Further studies and new preventive strategies too promove healthy ageing are required. Disclosure of Interest: None declared.
MON-P161 ARE PATIENTS WITH NORMAL WEIGHT OR OVERWEIGHT AND CONCOMITANT WEIGHT LOSS MISSED IN THE NEW ESPEN DEFINITION FOR MALNUTRITION? M. A. De Van Der Schueren1 *, M. de Smoker1, E. Leistra2, H. M. Kruizenga1. 1Nutrition and Dietetics, Vu University Medical Center, 2Health Sciences, Vrije Universiteit, Amsterdam, Netherlands Rationale: Concerns have been raised whether the new ESPEN definition for malnutrition correctly classifies malnutrition in patients with normal weight or overweight and concomitant weight loss, as they do not necessarily meet the criteria for low FFMI. The aim of this study is to assess the association between critical weight loss and one-year mortality in hospitalized patients, stratified by BMI and FFMI subgroups Methods: Included were 769 patients admitted to the VU University Medical Center. Critical weight loss (CWL) was defined as >5% weight loss in the previous month or >10% weight loss in the previous six months. The association between CWL and one-year mortality was analyzed with a priori stratification by the ESPEN definition cut-off values: BMI ≥ 20.0 kg/m2 for patients <70 years and ≥ 22.0 kg/m2 for patients ≥70 years, FFMI ≥ 15 kg/m2 for females and ≥ 17 kg/m2 for males. Mortality risks were calculated (HR, 95% CI) Results: Overall, CWL was associated with an increased oneyear mortality rate compared to no-CWL. In BMI and FFMI subcategories, CWL was predictive for mortality only in patients with low FFMI (Table).
mortality rates, compared to their counterparts with normal FFMI Disclosure of Interest: None declared.
MON-P162 COMPARATIVE ANALYSIS OF THE PREVALENCE OF INHOSPITAL MALNUTRITION ACCORDING TO ASPEN-ADA 2010 AND ESPEN 2015 CONSENSUS M. Millan-Lopez1 *, M. A. Reyes Lopez2. 1Nutrition, Instituto de Salud del Estado de Mexico, Tenancingo, 2Nutrition, Instituto Nacional de Perinatología, Mexico, Mexico Rationale: In-hospital malnutrition is a problem that prevails. In developed the prevalence of in-hospital malnutrition ranges widely due to the absence of standardized diagnostic tools. In the field of clinical nutrition, as far as we know, no existent data compares the diagnosis potential of the ASPEN-ADA 2010 and ESPEN 2015 tools This study is aimed to evaluate in-hospital malnutrition prevalence by employing the underlying rationale of the ASPEN-ADA-2010 and ESPEN-2015 tools. Methods: A transversal study was conducted at the General Hospital located at Tenancingo, Mexico, and divided into two time periods; August 15th-26th of 2016 and March 6th–22th of 2017. To some extent, patients from the areas of internal medicine, surgery, and traumatology were included to conduct this study. Results: The population sample comprehends one hundred patients, with a mean age of 48 years. The in-hospital malnutrition prevalence, rises higher with to ASPEN-ADA 2010 tool in comparison to the ESPEN 2015 tool (65% vs 22%, p <0.001). Both tools, showed that the greatest frequency of Inhospital malnutrition prevalence was present in internal medicine patients (80% ASPEN-ADA 2010 and 25% ESPEN 2015). Consequently, the stratified analysis demonstrated that in adults, (young 16–40 y, middle 41–60 y and older >61 y), the in-hospital malnutrition prevalence was higher according to the ASPEN-ADA 2010 tool than to ESPEN 2015 (50% vs23%, 74%vs35%, and 77%vs7%, respectively). Conclusion: The In-hospital malnutrition prevalence variations, highly depends on the tool used employed. ESPEN 2015 tool tends to underestimate the diagnosis. We consider that the advantages of having an early diagnosis, favourably outweighs the inconveniences of a higher In-hospital malnutrition prevalence. We suggest the use of the ASPEN-ADA 2010 tool as a means of monitoring and identifying in-hospital patients with malnutrition. Disclosure of Interest: None declared.
HR for one-year mortality compared to patients with no CWL CWL (all patients) CWL + FFMI ≥ 15/17 CWL + FFMI <15/17 CWL + BMI ≥ 20 /22 CWL + BMI ≥ 20 /22 + FFMI ≥ 15/17 CWL + BMI ≥ 20 /22 + FFMI <15/17
1.76 (1.26–2.45) 1.37 (0.85–2.21) 1.95 (1.20–3.17) 1.75 (1.17–2.61) 1.38 (0.84–2.27) 2.69 (1.29–5.65)
Conclusion: Patients with critical weight loss have a higher one-year mortality risk compared to patients with no critical weight loss. FFMI seems to play a crucial role in this association, as only patients with a FFMI below cut-off points had increased
MON-P163 IN-HOSPITAL DESNUTRITION PREVALENCE AT GENERAL HOSPITAL OF TENANCINGO, (MEXICO) ACCORDING ESPEN 2015 CONSENSUS M. Millan-Lopez1 *, M. A. Reyes Lopez2. 1Nutrition, Instituto de Salud del Estado de Mexico, Tenancingo, 2Nutrition, Instituto Nacional de Perinatología, Mexico, Mexico Rationale: Although in-Hospital malnutrition is a widely known problem, its prevalence varies according the studied group and the employed tool. The consequences of In-hospital malnutrition ranges from a worst clinic prognosis until economics