127 resultados para analytical levels
Resumo:
Objectives: To identify factors that correlate with insulin values and to examine its independent associations among adolescents. Methods: A cross-sectional population-based study was conducted among adolescents aged 12-16,9 years old. A multi-stage stratified cluster random sampling method was employed. Anthropometric measurements and nutritional survey were performed, and fasting blood samples for insulin were obtained. Statistics: Multiple lineal regression. Results: 379 adolescents were included. Mean age was 14.08 ± 1.30 years. Factors associated with higher fasting insulin levels were puberty [ 4.55 (95% IC 0.42-8.69)], abdominal obesity [ 6.11 (95% IC 3.93-8.29)] and to be born small for gestational age (SGA) [ 7.45 (95% IC 2.47-12.44)]. It was observed a negative association between the regular intake of olive oil at home and insulin values [ -4.14 (95% IC -7.31- -0.98)]. Conclusions: Abdominal obesity and SGA were factors associated with higher fasting insulin values. In contrast, the regular intake of olive oil at home was an independent protective factor.
Resumo:
Background: The glycosylated hemoglobin (HbA1c) is used to help monitor the degree of a diabetic’s hyperglycemia. Security and accuracy of the methods used in its detection are affected by variants forms of Hb or elevations in levels of Fetal Hb (HbF). These interference are the result of a change in the haemoglobin total net charge of the variant due of a substitution of one amino acid in the remaining amino terminal of the beta chain. International Standardization for HbA1c values (NGSP) not include interference assessment as part of the certification program. Therefore, the effect of each variant or the lifting of the HbF on HbA1c result should be examined in each sample depending on the detected variant and the method used for the detection of the same. The objectives were: to describe the possible variants of Hb and their interference in HbA1c measurement by our method, after the implementation of a computer program for their detection. To identify some variants detected by chromatography liquid ion exchange high resolution (HPLC) with DNA molecular sequencing.
Resumo:
BACKGROUND: The occurence of the metabolic syndrome (MS) between the renal receptors is one of the major complications after transplantation and is associated with an increased risk of graft failure and high rates of obesity and diabetes new appearance. AIMS: This study aims to investigate the prevalence and risk factors associated with the development of the MS and to evaluate the association between the same with the allograft dysfunction. METHODS: The samples consisted of 138 renal transplant patients, 83 men and 55 women, kidney transplant, which was attended by over five years for the transplant consultation. Were analyzed as potential risk factors for MS: age, sex, body mass index (BMI), weight, hypertension, diabetes, LDL, HDL, triglycerides in serum and immunosuppressive therapy (cyclosporine, tacrolimus, mycophenolate mofetil), was also assessed the prevalence of acute rejection episodes and renal function. RESULTS: The prevalence of MS was 39.85 %. As statistically significant risk factors were obtained the BMI, overweight, HDL cholesterol levels, triglycerides and LDL as well as hypertension and diabetes. There were high rates of acute rejection and differences in story to the glomerular filtration rate. CONCLUSIONS: There is a high prevalence of the MS that severely compromised renal function and graft survival in renal transplant patients, it is very important the control and strict monitoring of all risk factors identified.
Resumo:
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.
Resumo:
Acute myeloid leukemia (AML) is a heterogeneous disease whose prognosis is mainly related to the biological risk conferred by cytogenetics and molecular profiling. In elderly patients (60 years) with normal karyotype AML miR-3151 have been identified as a prognostic factor. However, miR-3151 prognostic value has not been examined in younger AML patients. In the present work, we have studied miR-3151 alone and in combination with BAALC, its host gene, in a cohort of 181 younger intermediate-risk AML (IR-AML) patients. Patients with higher expression of miR-3151 had shorter overall survival (P=0.0025), shorter leukemia-free survival (P=0.026) and higher cumulative incidence of relapse (P=0.082). Moreover, in the multivariate analysis miR-3151 emerged as independent prognostic marker in both the overall series and within the unfavorable molecular prognostic category. Interestingly, the combined determination of both miR-3151 and BAALC improved this prognostic stratification, with patients with low levels of both parameters showing a better outcome compared with those patients harboring increased levels of one or both markers (P=0.003). In addition, we studied the microRNA expression profile associated with miR-3151 identifying a six-microRNA signature. In conclusion, the analysis of miR-3151 and BAALC expression may well contribute to an improved prognostic stratification of younger patients with IR-AML.
Resumo:
Multiple sclerosis is an infammatory demyelinating autoimmune disease that affects the brain and spinal cord. The aim of the study was to quantify lym-phocyte subpopulations in cerebrospinal fuid and blood of patients diagnosed with multiple sclerosis and in patients whit degenerative diseases not (control) in order to fnd some relationships between them that make it possible to differentiate the immune status of patients in each group. This work was jointly carried out with Hospital Universitario Virgen Macarena in Seville during 2008, 2009 and 2010. It is a descriptive, transversal and cohort study. The selected population is composed of 142 subjects who were subjected to lumbar puncture and a blood sample. Group 1 (n=70), control, Group 2 (n=53), patients with relapsing remitting multiple sclerosis, Group 3 (n=5), patients with primary type progressive multiple sclerosis, and Group 4 (n=14) patients with isolated neurological syndrome. The results show an increase in CSF B cells in MS patients suggesting an increase in focal infammatory activity in the CNS. Regarding NKCD8, reduced total levels of NK and NKCD8 regard-ing controls were observed, and it showed an increased IgG index value in patients with RRMS.
Resumo:
BACKGROUND Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body size phenotypes and colorectal cancer risk is unknown. METHODS AND FINDINGS The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI < 25 kg/m2), (2) metabolically healthy/overweight (BMI ≥ 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI ≥ 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [≥80 cm for women and ≥94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of <0.05 was considered statistically significant. In multivariable-adjusted conditional logistic regression models with BMI used to define adiposity, compared with metabolically healthy/normal weight individuals, we observed a higher colorectal cancer risk among metabolically unhealthy/normal weight (odds ratio [OR] = 1.59, 95% CI 1.10-2.28) and metabolically unhealthy/overweight (OR = 1.40, 95% CI 1.01-1.94) participants, but not among metabolically healthy/overweight individuals (OR = 0.96, 95% CI 0.65-1.42). Among the overweight individuals, lower colorectal cancer risk was observed for metabolically healthy/overweight individuals compared with metabolically unhealthy/overweight individuals (OR = 0.69, 95% CI 0.49-0.96). These associations were generally consistent when waist circumference was used as the measure of adiposity. To our knowledge, there is no universally accepted clinical definition for using C-peptide level as an indication of hyperinsulinaemia. Therefore, a possible limitation of our analysis was that the classification of individuals as being hyperinsulinaemic-based on their C-peptide level-was arbitrary. However, when we used quartiles or the median of C-peptide, instead of tertiles, as the cut-point of hyperinsulinaemia, a similar pattern of associations was observed. CONCLUSIONS These results support the idea that individuals with the metabolically healthy/overweight phenotype (with normal insulin levels) are at lower colorectal cancer risk than those with hyperinsulinaemia. The combination of anthropometric measures with metabolic parameters, such as C-peptide, may be useful for defining strata of the population at greater risk of colorectal cancer.