3 research outputs found
Regular consumption of LIPIGO® promotes the reduction of body weight and improves the rebound effect of obese people undergo a comprehensive weight loss program
Obesity is a global public health problem. Objective: To evaluate the effect of the regular consumption of the product Lipigo® on body weight and rebound effect on overweight/obese subjects undergoing a comprehensive weight loss program. Methods: A randomized, parallel, double-blind, placebo-controlled clinical trial was conducted with male and female subjects presenting a BMI 25–39.9 kg/m . All subjects underwent a comprehensive weight loss program (WLP) for 12 weeks, which included an individualized hypocaloric diet, physical activity recommendations, nutritional education seminars, and three times a day consumption of the product Lipigo® or Placebo. After-WLP, subjects continued the treatment for 9 months to assess rebound effect. Body weight (BW), BMI, and body composition were measured at the beginning and the end of the WLP, and in the follow-up. Results: A total of 120 subjects (85% women) 49.0 ± 9.5 years old and with a BW of 81.57 ± 13.26 kg (BMI 31.19 ± 3.44 kg/m ) were randomized and 73 subjects finished the study. At the end of the WLP, there was a tendency toward reduced BW (p = 0.093), BMI (p = 0.063), and WC (p = 0.059) in the treated group. However, subjects with obesity type 1 (OB1) from the treated group significantly reduced body weight (−5.27 ± 2.75 vs. −3.08 ± 1.73 kg; p = 0.017) and BMI (−1.99 ± 1.08 vs. −1.09 ± 0.55 kg/m ; p = 0.01) compared with placebo. They also presented a minor rebound effect after 9 months with product consumption (−4.19 ± 3.61 vs. −1.44 ± 2.51 kg; p = 0.026), minor BMI (−1.61 ± 1.43 vs. −0.52 ± 0.96 kg/m ; p = 0.025) and tended to have less fat-mass (−3.44 ± 2.46 vs. −1.44 ± 3.29 kg; p = 0.080) compared with placebo. Conclusions: The regular consumption of the product Lipigo® promotes the reduction of body weight and reduces the rebound effect of obese people after 52 weeks (12 months), mainly in obesity type 1, who undergo a comprehensive weight loss program. 2 2 2 2This study was supported by the DAMM S.A. group through the project RTC-2016-5317-1 from the RETOS COLABORACIÓN 2016 program of Economy and Competitiveness Ministry of Spain (MINECO
Complete process of implantation of a nutritional risk screening system in the University Hospital La Paz, Madrid
La malnutrición asociada a la enfermedad (MAE) está
presente en un porcentaje muy elevado de los pacientes
que ingresan en los hospitales y su repercusión es diversa
y de mucha trascendencia.
Objetivo: Desde la Unidad de Nutrición del Hospital
Universitario la Paz, en colaboración con todos los miembros
de la Comisión de Nutrición, nos planteamos implantar
algún método de cribado en nuestro centro, que permitiese
abarcar al mayor número posible de pacientes.
Resultados: Debido al gran tamaño de nuestro centro,
con cerca de 1500 camas, unido a una escasez de recursos
humanos en nuestra unidad, optamos por utilizar el sistema
de cribado CONUT (Control Nutricional) 100%
automático y basado en parámetros analíticos, muy fácil
de manejar, de bajo coste y cuya validez está confirmada,
adaptándolo a nuestras necesidades. El método recoge
información de las bases de datos del servicio de Admisión
(filiación, edad, fecha) y del Laboratorio (albúmina, colesterol,
linfocitos totales) y genera, en el informe de resultados
de los análisis clínicos, la información sobre la alerta
de riesgo nutricional de cada paciente, así como las recomendaciones
nutricionales a seguir en función del riesgo
detectado en cada caso. Para llegar su implantación se llevaron
a cabo diferentes evaluaciones que nos permitieron
conocer previamente la carga extra de trabajo que podría
generar su implantación y nuestra capacidad para asumirlas,
así como numerosas actividades formativas encaminadas
a que los médicos y profesionales sanitarios del
hospital asumieran cada vez más responsabilidades en el
proceso del tratamiento nutricional de sus pacientes. Este
sistema de cribado funciona desde Junio del año 2010 y
detecta riesgo de desnutrición en el 32% de los pacientes
evaluados. En general, sólo en los casos en los que la alerta
corresponde a una situación de Alto riesgo nutricional,
hecho que se da aproximadamente en el 10% del total, se
requirió la intervención especializada por parte de la Unidad
de Nutrición Clínica y Dietética.
Posteriormente, conforme hemos ido detectando posibles
causas que justificaran que el sistema no funcionase
adecuadamente, el sistema de cribado ha sido objeto de
diversas modificaciones. En este sentido, se ha realizado
una evaluación retrospectiva en 233 pacientes ingresados
en las plantas de Cirugía General y se ha documentado
que aquellos que ingresan para cirugía programada y
presentan una alarma alta o moderada de desnutrición
(el 50% de los casos), la presencia de la misma aumenta
significativamente los días de ingreso y la mortalidad.
Conclusiones: La implantación del cribado nutricional
ha favorecido un cambio en la cultura de nuestro centro
con respecto a la malnutrición asociada a la enfermedad y
la mayoría de nuestros profesionales, tanto médicos como
enfermeras e incluso el equipo directivo, comprenden la
importancia del proceso y saben que disponemos de
herramientas y de conocimiento suficiente para indicar
un soporte nutricional adecuado y precozDisease-Related Malnutrition (DRM) is present in a
high percentage of patients admitted to hospital and their
impact is diverse and of great importance.
Objectives: Nutrition Department of University
Hospital La Paz, in collaboration with all members of the
Nutrition Committee, we decided to implement some
method of screening in our centre which allowed us to
detect as many patients with malnutrition risk as possible.
Results: Due to the large size of our centre, with about
1,500 beds and the few human resources in our unit, we
chose to use the CONUT system (Nutritional Control), a
100% automatic method based on analytical parameters,
very easy to use, low cost and whose validity is confirmed,
characteristics that fulfilled our needs. The method
collects information from databases of Admission Service
(affiliation, age, date) and Laboratory (albumin, cholesterol,
total lymphocytes) and generates, in the report of
analytical results, “alert” information about each
patient’s nutritional risk and also nutritional recommendations
based on the risk identified. Prior to its implantation
several evaluations were performed in order to allow
us to better know the extra workload, as it was the main
factor that could limit our ability to assume that screening
method and also many training activities for doctors
and hospital health professionals who were increasingly
assuming responsibilities in the nutritional treatment of
their patients. This screening system has been working
from june of 2010 and it has detected risk of malnutrition
in 32% of the evaluated patients. In general, only in those
cases where the alert corresponded to a high-risk nutritional
situation, which represents approximately 10% of
the total, specialized intervention by the Clinical Nutrition
Unit was required.
Later, as we have detected some possible causes that
justify the system does not work properly; the screening
system has undergone several changes . In this sense, we
have made a retrospective evaluation of 233 patients
admitted to the General Surgery plants and documented
that those entering for scheduled surgery, having a alarm
of malnutrition (50% of cases), its presence increases
significantly the hospital stay and mortality.
Conclusions: The implementation of this nutritional
screening method has led to a change in the ìnutritionalî
culture of our centre respect to DRM in most of our
professionals: doctors and nurses and even in the management
team, so all of them understand the importance of
the process and know about the available tools and knowledge
to indicate an adequate and early nutritional
suppor