Impact of an outpatient cardiac rehabilitation program on clinical and analytical variables in cardiovascular disease.

PURPOSE: The aim of the study was to determine the effect of lifestyle changes in patients participating in a cardiac rehabilitation program. METHODS: Patients with cardiovascular disease (N = 59) were enrolled in cardiac rehabilitation, which included nutritional and exercise interventions. All patients completed the program, but only 44 attended the reassessment after 12 months because of work reasons or lack of time or interest. RESULTS: Ergometry before and after cardiac rehabilitation showed significant differences in exercise tolerance time (5.2 ± 1.8 minutes vs 7.1 ± 2.1 minutes; P< .001), metabolic equivalents (6.5 ± 1.8 vs 8.8 ± 2.2; P< .001), and the Börg rating of perceived exertion scale (12 ± 1.8 points vs 13.7 ± 1.6 points; P= .005). At the end of the intervention program, significant improvements were seen in body weight (82.6 ± 15.2 kg vs 80.8 ± 14.3 kg; P< .001), waist circumference (100.3 ± 12.4 cm vs 98.0 ± 11.0 cm; P= .002), and levels of fasting glucose (126.5 ± 44.6 mmol/L vs 109.6 ± 24.8 mmol/L; P< .001), low-density lipoprotein cholesterol (2.7 ± 0.9 mmol/L vs 2.5 ± 0.8 mmol/L; P= .033), and C-reactive protein (5.1 ± 8.7 µg/mL vs 4.1 ± 2.6 µg/mL; P= .008), as well as in adherence to a healthy diet as estimated by the Trichopoulou questionnaire score (7.9 ± 2.3 vs 10.6 ± 1.5; P< .001). Twelve months later, however, many of these benefits had either remained stable or worsened. CONCLUSIONS: Cardiac rehabilitation is an appropriate program for the improvement of clinical and analytical variables, such as functional capacity, carbohydrate and lipid metabolism, anthropometric measures, and diet. However, 12 months later, many of these benefits either remained stable or worsened.

Filnut-escala: justificacion y utilidad en el cribaje de riesgo por desnutricion dentro del proceso infornut / Filnut-escala: justificacion y utilidad en el cribaje de riesgo por desnutricion dentro del proceso infornut

Objetivos Justificar la asignacion de una puntuacion de riesgo de desnutricion para proteinas totales inferiores a 5g/dl y proponer una escala de puntuacion para nuestro filtro (FILNUT-Escala). Analizar el resultado del test de cribaje MUST (Malnutrition Universal Screening Tool) practicado en positivos al filtro nutricional Filtro de Nutricion y evaluar la utilidad de dicho test en esta poblacion. Metodos Busqueda en base de datos de laboratorio an ̃os 2004–2007) de peticiones analíticas en que había determinación de proteinas totales y albuimina, o colesterol total,y aquellas que tengan resultados para esos 3 parámetros más el recuento de linfocitos. Sobre ello se impuso la limitación a las proteínas totales de ser menores de 5 g/dl, dejando libre el resultado del resto de parámetros. Se analizaron las curvas de distribución correspondientes los valores de albumina y colesterol; igualmente procedio; tras establecerlas puntuaciones Control Nutricional (CONUT) correspondientes a las muestras con lospara ́metros necesarios. En el periodo septiembre 07-enero 08 se practica MUST a todos los positivos Filtro de Nutrición y se analiza la correspondencia de grados de riesgo. Resultados: Para proteinas totales inferiores a 5 g/dl, en el 95% de los de los casos (n=1.176) los valores de albúmina estarán entre 0,98-2,94 g/dl; por tanto se obtendrían puntuaciones CONUT por albuúmina de 4 o 6. En cuanto al colesterol total, (n=761) el 89,1% de las muestras queda por debajo de 180 mg/dl; correspondiéndose con 1 o 2 puntos. En el 98,79 % de los casos (n=490) que tenían los 4 parámetros la puntuación CONUT fue Z5, que se catalogaría de riesgo de medio o alto. Durante el periodo en estudio, el 100 % de los pacientes de riesgo medio o alto en FILNUT-Escala (n=568) dieron riesgo MUST: 421 (74,1%) alto y 147 (25,9%) medio (AU)

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 ¡Ý5, 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 (..) (AU)

[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.

Proceso INFORNUT®: validación de la fase de filtro —FILNUT— y comparación con otros métodos de detección precoz de desnutrición hospitalaria / Infornut process: validation of the filter phase -Filnut- and comparison with other methods for the detection of early hospital hyponutrition

Introducción: El problema de la desnutrición hospitalaria afecta según las series entre un 30-50% de los pacientes ingresados. Esta alta prevalencia justifica la necesidad de su detección precoz al ingreso. Existen múltiples herramientas clásicas de cribaje que muestran limitaciones importantes en su aplicación sistemática en la práctica clínica habitual. Objetivos: Ver la relación entre desnutrición, detectada por nuestro método de cribaje, y mortalidad, estancia o reingresos. Asimismo analizar la relación entre desnutrición y prescripción de soporte nutricional. Comparar distintos métodos de cribaje nutricional al ingreso sobre una muestra aleatoria de pacientes hospitalizados. Validación del método INFORNUT para cribaje nutricional. Material y Métodos: En una fase previa al diseño del estudio se realizo un análisis retrospectivo con datos del año 2003 con el fin de conocer la situación de la desnutrición en el Hospital Virgen de la Victoria de Málaga, recogiendo datos del CMBD (Conjunto Mínimo Básico de Datos), analíticas de riesgo nutricional (filtro FILNUT) y prescripción de soporte nutricional. En la fase experimental se realizo un estudio de cohorte transversal con una muestra aleatoria de 255 pacientes en Mayo del 2004. Se realiza estudio antropométrico, Valoración Subjetiva Global (VSG), Mini-Nutritional Assessment (MNA) y Nutrtional Risk Screening (NRS), método de Gassull, CONUT® e INFORNUT. Las condiciones de filtro aplicadas por INFORNUT son: albúmina < 3.5 g/dL y/o proteinas totales < 5 g/dL y/o prealbúmina< 18 mg/dL con o sin linfocitos totales < 1.600 cel/ml y/o colesterol total <180 mg/dL. Para la comparación entre métodos se construye un Gold Standard basado en las recomendaciones de SENPE sobre datos antropométricos y analíticos. El análisis estadístico de asociación se realizó mediante Test Chi-cuadrado (α:0.05) y concordancia a través del índice κ. Resultados: En el estudio realizado en la fase previa se observa que la prevalencia de desnutrición hospitalaria es del 53,9%. Recibieron soporte nutricional especializado 1.644 pacientes; de ellos el 66,9% padecían desnutrición. También se observa que la desnutrición es uno de los factores que favorecen el incremento de la mortalidad (desnutridos: 15,19% vs no desnutridos: 2,58), la estancia (desnutridos: 20,95 días vs. no desnutridos: 8,75 días), e reingresos (desnutridos: 14,30% vs. no desnutridos: 6%). Los resultados del estudio experimental son los siguientes: La prevalencia de desnutrición obtenida por Gold Standard (61%), INFORNUT (60%). Los grados de concordancia entre los métodos INFORNUT, CONUT y GASSULL son buenos o excelentes comparados entre sí (k : 0,67 INFORNUT con CONUT y k : 0,94 INFORNUT con GASSULL) y con Gold Standard (k : 0,83 INFORNUT; k : 0,64 CONUT; k :0,89 GASSULL). Sin embargo los test estructurados (VSG, MNA, NRS), presentan bajos índices de concordancia con el Gold Standard y los test analíticos o mixtos (Gassull); aunque si muestran un grado de concordancia ligero a moderado cuando se comparan entre si (k : 0.489 NRS con VSG). INFORNUT presenta una sensibilidad del 92,3%, un valor predictivo positivo del 94,1% y una especificidad del 91,2%. Tras la fase filtro se envía un informe preliminar, sobre el que cumplimentados datos antropométricos y de ingesta, se elabora un Informe de Riesgo Nutricional. Conclusiones: La prevalencia de desnutrición en nuestro estudio (60%) es similar a la hallada por otros autores. La desnutrición lleva consigo un aumento de mortalidad, estancia y reingreso. No existen herramientas que se hayan demostrado capaces detectar desnutrición precoz el medio hospitalario que no tengan grandes limitaciones de aplicabilidad. FILNUT como 1ª fase de filtro del proceso INFORNUT constituye una herramienta valida: sensible y específica para el cribado nutricional al ingreso. Las ventajas principales del proceso serían la capacidad de identificar precozmente pacientes con riesgo de desnutrición, ejercer una función docente y sensibilizadora en facultativos y personal de enfermería implicándolos en la valoración nutricional de sus pacientes y elaborar un informe del diagnóstico al alta de desnutrición y soporte nutricional para el Servicio de Documentación Clínica. Por tanto INFORNUT constituiría un método de cribado universal con una buena relación coste-efectividad (AU)

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. Thereare 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 (AU)