Estudio de la albúmina sérica y del índice de masa corporal como marcadores nutricionales en pacientes en hemodiálisis.

Background: Protein calorie malnutrition as well as systemic inflammation and metabolic disorders are common among patients with chronic renal failure undergoing renal replacement therapy (haemodialysis), which contributes to its morbidity and mortality. Aims: The aims of this work was to evaluate the nutritional status of patients in a hemodialysis treatment through the assessment of biochemical parameters nutritional as albumin, and anthropometric parameters of body mass index during ten years of follow up. Methods: In this work has been followed 90 patients of both sexes with chronic kidney disease who were treated with hemodialysis regularly on our unit for ten years. All patients were conducted quarterly measurements of plasma albumin (Alb), and other biochemical determinations, and anthropometric measurements of height, weight and body mass index calculated by the formula weight/height², grouped n BMI < 23 kg/m2 and albumin levels <3.8 g/dl according to the consensus of the panel of experts of the International Society for renal Nutrition and metabolism. Results: During the 10 years all patients showed a significant decline in the biochemical parameters and the albumin, change in BMI does not presented significant changes in relation to malnutrition. Conclusions: Malnutrition in patients on dialysis is a fact patent, BMI does not correspond with the biochemical parameters were observed, for what nutritional impairment in these patients is mainly expressed by serum albumin.

Impaired adipose tissue expandability and lipogenic capacities as ones of the main causes of metabolic disorders.

Obesity is considered a major health problem. However, mechanisms involved and its comorbidities are not elucidated. Recent theories concerning the causes of obesity have focused on a limit to the functional capacity of adipose tissue, comparing it with other vital organs. This assumption has been the central point of interest in our laboratory. We proposed that the failure of adipose tissue is initiated by the difficulty of this tissue to increase its cellularity due to excess in fat contribution, owing to genetic or environmental factors. Nevertheless, why the adipose tissue reduces its capacity to make new adipocytes via mesenchymal cells of the stroma has not yet been elucidated. Thus, we suggest that this tissue ceases fulfilling its main function, the storage of excess fat, thereby affecting some of the key factors involved in lipogenesis, some of which are reviewed in this paper (PPARγ, ROR1, FASN, SCD1, Rab18, BrCa1, ZAG, and FABP4). On the other hand, mechanisms involved in adipose tissue expandability are also impaired, predominating hypertrophy via an increase in apoptosis and a decrease in adipogenesis and angiogenesis. However, adipose tissue failure is only part of this great orchestra, only a chapter of this nightmare.

Changes in Body Composition in Anorexia Nervosa: Predictors of Recovery and Treatment Outcome.

The restoration of body composition (BC) parameters is considered to be one of the most important goals in the treatment of patients with anorexia nervosa (AN). However, little is known about differences between AN diagnostic subtypes [restricting (AN-R) and binge/purging (AN-BP)] and weekly changes in BC during refeeding treatment. Therefore, the main objectives of our study were twofold: 1) to assess the changes in BC throughout nutritional treatment in an AN sample and 2) to analyze predictors of BC changes during treatment, as well as predictors of treatment outcome. The whole sample comprised 261 participants [118 adult females with AN (70 AN-R vs. 48 AN-BP), and 143 healthy controls]. BC was measured weekly during 15 weeks of day-hospital treatment using bioelectrical impedance analysis (BIA). Assessment measures also included the Eating Disorders Inventory-2, as well as a number of other clinical indices. Overall, the results showed that AN-R and AN-BP patients statistically differed in all BC measures at admission. However, no significant time×group interaction was found for almost all BC parameters. Significant time×group interactions were only found for basal metabolic rate (p = .041) and body mass index (BMI) (p = .035). Multiple regression models showed that the best predictors of pre-post changes in BC parameters (namely fat-free mass, muscular mass, total body water and BMI) were the baseline values of BC parameters. Stepwise predictive logistic regressions showed that only BMI and age were significantly associated with outcome, but not with the percentage of body fat. In conclusion, these data suggest that although AN patients tended to restore all BC parameters during nutritional treatment, only AN-BP patients obtained the same fat mass values as healthy controls. Put succinctly, the best predictors of changes in BC were baseline BC values, which did not, however, seem to influence treatment outcome.