3 resultados para CRF
Resumo:
Chronic renal failure is commonly related to hyponutrition, affecting approximately on third of patients with advanced renal failure. We carried out a longitudinal study to assess nutritional evolution of 73 patients on a regular hemodialysis program, assessing changes in the anthropometrical parameter body mass index (BMI) and its correspondence to biochemical nutritional parameters such as total protein (TP) levels and serum albumin (Alb). Every three months plasma TP and albumin levels were collected and BMI was calculated by the standard formula: post-dialysis weight in kg/height in m2. For classifying by BMI categories, overweight and low weight were defined according to the WHO Expert Committee. Studied patients had a mean age of 53 years, 43 were male and 30 were female patients. BMI in women was lower than that in men (p < 0.001), as well as TP (p < 0.001) and Alb (p < 0.001) levels. Mean BMI was 29.3 kg/m2. Three point two percent of the determinations showed low weight, 12.16% overweight, and 83.97% normal BMI. TP were normal in 90.76% and decreased in 9.24%. Alb was normal in 82.2% and low in 17.78%. After the follow-up time (21.6 months, minimum 18 months, maximum 53 months), the Kruskal-Wallis test did not show a statistically significant change for BMI but it did show a change for the biochemical parameters albumin and total proteins (p < 0.05): nutritional impairment in CRF patients is manifested on biochemical parameters (TP and Alb) with no reflection on anthropometrical data.
Resumo:
Scandium (Sc) is an element with many industrial applications, but relatively little is known about its physiological and/or toxicological effects, and very little data are available concerning the role of Sc in chronic renal failure (CRF). This paper examines the changes in plasma levels of Sc in predialysis patients with CRF and the relationship with blood parameters. The participants in this trial were 48 patients with CRF in predialysis and 53 healthy controls. Erythrocyte, haemoglobin, and haematocrit counts in blood were determined, and levels of creatinine, urea, uric acid, albumin, total protein and Sc were measured in plasma. The glomerular filtration rate (GFR) was calculated using the Cockcroft-Gault index. The CRF patients were found to have higher plasma levels of creatinine, urea, uric acid, albumin, total protein, and Sc and a lower GFR than that the controls. Scandium in plasma was positively correlated with creatinine and plasma urea and negatively correlated with GFR, haemoglobin, and haematocrit and was associated with the risk of lower levels of erythrocytes, haemoglobin, and haematocrit. CRF was associated with increases in the circulating levels of scandium.
Resumo:
INTRODUCTION: The metabolic syndrome (MS) consists of a set of clinical and biochemical changes. It is very common among chronic hemodialysis patients, being the leading cause of death in these patients, 44% of all patients undergoing this therapy. AIMS: The aim of this study was to investigate the prevalence of MS and risk factors associated with its development, as well as the prevalence of obesity in HD patients. METHODS: This study has followed 90 patients of both sexes with chronic renal failure (CRF) who were treated with hemodialysis periodically in our unit for ten years. All patients were performed quarterly measurements of plasma albumin (A1b) and other biochemical analysis; besides, they underwent some anthropometric measurements like weight, height and body mass index (BMI). This was calculated using weight / size2 formula and grouped in BMI values according to WHO criteria. The data concerning hypertension and glucose were also considered. RESULTS: The prevalence of MS was 25% and obesity was presented as follows: 45% with type I overweight; 30.8% with type II overweight and 12 patients (2%) were obese. Being statistically significant as risk factors, BMI, overweight, triglycerides, total cholesterol, HDL cholesterol as well as hypertension and elevated glucose levels were obtained. CONCLUSIONS: The metabolic syndrome compromises the patient survival causing a high prevalence in these patients. The principal risk factors in MS are monitoring weight, BMI, triglycerides, HDL cholesterol, hypertension and diabetes.