[Filnut-scale: rationale and use in screening for malnutrition risk within the infornut process]. / Filnut-escala: justificación y utilidad en el cribaje de riesgo por desnutrición dentro del proceso infornut.

OBJECTIVES: To offer a rationale for assigning a minimum score for risk of malnutrition for total proteins lower than 5g/dl and a scoring scale for our filter (FILNUT-Scale); and to analyse results of the MUST screening test performed on positive scores in the FILNUT nutritional filter and assess usefulness of said test in this population. METHODS: We searched the laboratory database for laboratory test orders (dated between 2004 and 2007) for which total proteins and albumin or cholesterol levels were determined, and we identified those with results for the above three parameters plus lymphocyte count. A limit (less than 5g/dl) was placed on the total protein level and the results for other parameters were not limited. Distribution curves for albumin and cholesterol were analysed. The same protocol was followed after establishing the CONUT score for each sample with the necessary parameters. From September 2007 to January 2008, the MUST test was performed on all FILNUT positives and we analysed how the degrees of risk corresponded. RESULTS: In 95% of the cases in which total proteins are lower than 5g/dl (n=1,176), albumin values are between 0.98 and 2.94g/dl, resulting in CONUT scores of 4 or 6 for albumin. Regarding total cholesterol, (n=761) 89.1% of the samples are lower than 180mg/dl, which accounts for one or two points in the score. In 98.79 % of the cases (n=490) that presented all four parameters, CONUT score was >/=5, which could be classified as medium or high risk. During the study period, 100% of the patients identified as medium or high risk by the FILNUT-Scale (n=568) tested as at-risk by MUST: of these, 421 (74.1%) were at high risk and 147 (25.9%) were at medium risk. CONCLUSIONS: Total proteins lower than 5g/dl determine a medium or high risk of malnutrition where a complete nutritional screening profile is lacking. This is why it should be included in the FILNUT-Scale with a score of five points. Performing the MUST test on patients with five or more points is efficient and provides clinical data needed for a complete assessment.

[INFORNUT process: validation of the filter phase-FILNUT--and comparison with other methods for the detection of early hospital hyponutrition]. / Proceso INFORNUT: validación dela fase de filtro-FILNUT--y comparación con otros métodos de detección precoz de desnutrición hospitalaria.

INTRODUCTION: According to several series, hospital hyponutrition involves 30-50% of hospitalized patients. The high prevalence justifies the need for early detection from admission. There several classical screening tools that show important limitations in their systematic application in daily clinical practice. OBJECTIVES: To analyze the relationship between hyponutrition, detected by our screening method, and mortality, hospital stay, or re-admissions. To analyze, as well, the relationship between hyponutrition and prescription of nutritional support. To compare different nutritional screening methods at admission on a random sample of hospitalized patients. Validation of the INFORNUT method for nutritional screening. MATERIAL AND METHODS: In a previous phase from the study design, a retrospective analysis with data from the year 2003 was carried out in order to know the situation of hyponutrition in Virgen de la Victoria Hospital, at Malaga, gathering data from the MBDS (Minimal Basic Data Set), laboratory analysis of nutritional risk (FILNUT filter), and prescription of nutritional support. In the experimental phase, a cross-sectional cohort study was done with a random sample of 255 patients, on May of 2004. Anthropometrical study, Subjective Global Assessment (SGA), Mini-Nutritional Assessment (MNA), Nutritional Risk Screening (NRS), Gassull's method, CONUT and INFORNUT were done. The settings of the INFORNUT filter were: albumin < 3.5 g/dL, and/or total proteins <5 g/dL, and/or prealbumin <18 mg/dL, with or without total lymphocyte count < 1.600 cells/mm3 and/or total cholesterol <180 mg/dL. In order to compare the different methods, a gold standard is created based on the recommendations of the SENPE on anthropometrical and laboratory data. The statistical association analysis was done by the chi-squared test (a: 0.05) and agreement by the k index. RESULTS: In the study performed in the previous phase, it is observed that the prevalence of hospital hyponutrition is 53.9%. One thousand six hundred and forty four patients received nutritional support, of which 66.9% suffered from hyponutrition. We also observed that hyponutrition is one of the factors favoring the increase in mortality (hyponourished patients 15.19% vs. non-hyponourished 2.58%), hospital stay (hyponourished patients 20.95 days vs. non-hyponourished 8.75 days), and re-admissions (hyponourished patients 14.30% vs. non-hyponourished 6%). The results from the experimental study are as follows: the prevalence of hyponutrition obtained by the gold standard was 61%, INFORNUT 60%. Agreement levels between INFORNUT, CONUT, and GASSULL are good or very good between them (k: 0.67 INFORNUT with CONUT, and k: 0.94 INFORNUT and GASSULL) and wit the gold standard (k: 0.83; k: 0.64 CONUT; k: 0.89 GASSULL). However, structured tests (SGA, MNA, NRS) show low agreement indexes with the gold standard and laboratory or mixed tests (Gassull), although they show a low to intermediate level of agreement when compared one to each other (k: 0.489 NRS with SGA). INFORNUT shows sensitivity of 92.3%, a positive predictive value of 94.1%, and specificity of 91.2%. After the filer phase, a preliminary report is sent, on which anthropometrical and intake data are added and a Nutritional Risk Report is done. CONCLUSIONS: Hyponutrition prevalence in our study (60%) is similar to that found by other authors. Hyponutrition is associated to increased mortality, hospital stay, and re-admission rate. There are no tools that have proven to be effective to show early hyponutrition at the hospital setting without important applicability limitations. FILNUT, as the first phase of the filter process of INFORNUT represents a valid tool: it has sensitivity and specificity for nutritional screening at admission. The main advantages of the process would be early detection of patients with risk for hyponutrition, having a teaching and sensitization function to health care staff implicating them in nutritional assessment of their patients, and doing a hyponutrition diagnosis and nutritional support need in the discharge report that would be registered by the Clinical Documentation Department. Therefore, INFORNUT would be a universal screening method with a good cost-effectiveness ratio.