9 resultados para Índice menopausal
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Background The single nucleotide polymorphism rs7566605, located in the promoter of the INSIG2 gene, has been the subject of a strong scientific effort aimed to elucidate its possible association with body mass index (BMI). The first report showing that rs7566605 could be associated with body fatness was a genome-wide association study (GWAS) which used BMI as the primary phenotype. Many follow-up studies sought to validate the association of rs7566605 with various markers of obesity, with several publications reporting inconsistent findings. BMI is considered to be one of the measures of choice to evaluate body fatness and there is evidence that body fatness is related with an increased risk of breast cancer (BC). Methods we tested in a large-scale association study (3,973 women, including 1,269 invasive BC cases and 2,194 controls), nested within the EPIC cohort, the involvement of rs7566605 as predictor of BMI and BC risk. Results and Conclusions In this study we were not able to find any statistically significant association between this SNP and BMI, nor did we find any significant association between the SNP and an increased risk of breast cancer overall and by subgroups of age, or menopausal status.
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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.
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Sección "Buenas prácticas en gestión clínica"
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Publicado en la página web de la Consejería de Salud y Bienestar social: www.juntadeandalucia.es/salud (Consejería de Salud y Bienestar Social / Profesionales / Salud Pública / Promoción de la Salud / Actividad Física y Alimentación Equilibrada / Consejo dietético)
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INTRODUCTION Obesity is an unfavorable prognostic factor in breast cancer (BC) patients regardless of menopausal status and treatment received. However, the association between obesity and survival outcome by pathological subtype requires further clarification. METHODS We performed a retrospective analysis including 5,683 operable BC patients enrolled in four randomized clinical trials (GEICAM/9906, GEICAM/9805, GEICAM/2003-02, and BCIRG 001) evaluating anthracyclines and taxanes as adjuvant treatments. Our primary aim was to assess the prognostic effect of body mass index (BMI) on disease recurrence, breast cancer mortality (BCM), and overall mortality (OM). A secondary aim was to detect differences of such prognostic effects by subtype. RESULTS Multivariate survival analyses adjusting for age, tumor size, nodal status, menopausal status, surgery type, histological grade, hormone receptor status, human epidermal growth factor receptor 2 (HER2) status, chemotherapy regimen, and under-treatment showed that obese patients (BMI 30.0 to 34.9) had similar prognoses to that of patients with a BMI < 25 (reference group) in terms of recurrence (Hazard Ratio [HR] = 1.08, 95% Confidence Interval [CI] = 0.90 to 1.30), BCM (HR = 1.02, 0.81 to 1.29), and OM (HR = 0.97, 0.78 to 1.19). Patients with severe obesity (BMI ≥ 35) had a significantly increased risk of recurrence (HR = 1.26, 1.00 to 1.59, P = 0.048), BCM (HR = 1.32, 1.00 to 1.74, P = 0.050), and OM (HR = 1.35, 1.06 to 1.71, P = 0.016) compared to our reference group. The prognostic effect of severe obesity did not vary by subtype. CONCLUSIONS Severely obese patients treated with anthracyclines and taxanes present a worse prognosis regarding recurrence, BCM, and OM than patients with BMI < 25. The magnitude of the harmful effect of BMI on survival-related outcomes was similar across subtypes.
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INTRODUCTION: Gain weight after transplantation is relatively common, also tends to be multifactorial and can be influenced by glucocorticoids and immunosuppressive medications, delayed graft function and cause serious health complications. OBJECTIVES: Assess changes in weight, degree of obesity and body mass index as well as the effect of immunosuppressive treatment over these 5 years after kidney transplantation. METHODS: The samples were 119 kidney transplant recipients, 70 men and 49 women, that attended the query post for five years. All patients were measured Pretransplant and post (from 1st year to the 5th year) weight, height and body mass index calculated by the formula weight/size2 relating it to immunosuppressive treatment taking. RESULTS: There is a considerable increase of body mass index, weight and degree of obesity in the first year after transplantation to increase more slowly in the next four years. The type of immunosuppressive treatment influence the weight and degree of obesity that occurs in this period of time. CONCLUSIONS: A high prevalence there are overweight and obesity after the transplant especially during the first year. A year patients earn an average of 6.6 kg in weight and an average of 2.5 kg/m2 in their BMI. During treatment should minimize doses of steroids and include dietary treatment and adequate physical exercise
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Introduction: The quality of life assessment means investigating how patients perceive their disease. Malnutrition-specific characteristics make patients more vulnerable, so it is important to know how these factors impaction patients’ daily life. Aim: To assess the quality of life in malnourished patients who have had hospital admission, and to determine the relationship of the quality of life with age, body mass index, diagnosis of malnutrition, and dependency. Method: Multicenter transversal descriptive study in 106 malnourished patients after hospital admission. The quality of life (SF-12 questionnaire), BMI, functional independency (Barthel index), morbidity, and a dietary intake evaluation were assessed. The relationship between variables was tested by using the Spearman correlation coefficient Results: The patients of the present study showed a SF-12 mean of 38.32 points. The age was significantly correlated with the SF-12 (r= -0.320, p= 0.001). The BMI was correlated with the SF-12 (r= 0.251, p= 0.011) and its mental component (r= 0.289, p= 0.03). It was also reported a significant correlation between the Barthel index and the SF-12 (r= 0.370, p< 0.001). Conclusions: The general health perception in malnourished patients who have had a hospital admission was lower than the Spanish mean. Moreover, the quality of life in these patients is significantly correlated with age, BMI and functional independency.
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INTRODUCTION: frequently after kidney transplantation there is an increase in weight with a resulting high percent of obesity in these recipients. This combined with a rapid loss of bone mass, a higher prevalence of osteoporosis and fractures is evident than in normal populations. OBJECTIVES: to explore the relationship between body mass index (BMI) and prevalence of osteoporosis in a population of renal transplant recipients. METHODS: prospective longitudinal study design. The study was conducted on 306 kidney transplant recipients. The relationship between weigh and body mass index with femoral and lumbar osteopenia and osteoporosis prevalence at the moment of transplant and at 12 months post was explored. RESULTS: there was a high prevalence of overweight (35.6%) and obese (14.1%) recipients after renal transplant and 1 year after (42.2% and 24.2% respectively). Significant differences were found(p = 0.049) between the weight at the time of transplant and the presence of osteopenia or osteoporosis at the lumbar level one year after, the highest weights were in recipients with osteoporosis. The mean BMI was higher (p = 0.028) in osteoporotic patients (26.59 kg/m2) than in patients with osteopenia (24.23 kg/m2). CONCLUSION: results seem to be consistent with recent studies in the general population showing excessive weight as a possible factor detrimental to the bone health.
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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.