217 resultados para metabolic alkalosis


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INTRODUCTION: Metabolic investigation in patients with urinary lithiasis is very important for preventing recurrence of disease. The objective of this work was to diagnose and to determine the prevalence of metabolic disorders, to assess the quality of the water consumed and volume of diuresis as potential risk factors for this pathology. PATIENTS and METHODS: We studied 182 patients older than 12 years. We included patients with history and/or imaging tests confirming at least 2 stones, with creatinine clearance > 60 mL/min and negative urine culture. The protocol consisted in the collection of 2, 24-hour urine samples, for dosing Ca, P, uric acid, Na, K, Mg, Ox and Ci, glycemia and serum levels of Ca, P, Uric acid, Na, K, Cl, Mg, U and Cr, urinary pH and urinary acidification test. RESULTS: 158 patients fulfilled the inclusion criteria. Among these, 151 (95.5%) presented metabolic changes, with 94 (62.2%) presenting isolated metabolic change and 57 (37.8%) had mixed changes. The main disorders detected were hypercalciuria (74%), hypocitraturia (37.3%), hyperoxaluria (24.1%), hypomagnesuria (21%), hyperuricosuria (20.2%), primary hyperparathyroidism (1.8%) secondary hyperparathyroidism (0.6%) and renal tubular acidosis (0.6). CONCLUSION: Metabolic change was diagnosed in 95.5% of patients. These results warrant the metabolic study and follow-up in patients with recurrent lithiasis in order to decrease the recurrence rate through specific treatments, modification in alimentary and behavioral habits.

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Background: Since human diets contain many components that may work synergistically to prevent or promote disease, assessing diet quality may be informative. The purpose of this study was to investigate the association between quality diet, by using Healthy Eating Index (HEI), and metabolic risk indicators in postmenopausal women.Methods: This cross-sectional study included a total of 173 Brazilian women, aged 45-75 years, seeking healthcare at a public outpatient center. Food consumption assessed by 24 h-recall food inquiry was used to calculate HEI scores: >80 implied diet good, 80-51 diet needed improvement, and <51 diet poor. Anthropometric data included: body mass index (BMI = weight/height(2)), waist-circumference (WC), body fat (%BF) and lean mass (%LM). Data on total cholesterol (TC), high density lipoprotein cholesterol (HDLC), low density lipoprotein cholesterol (LDLC), and triglycerides (TG) were also collected. Fisher's Exact test, and logistic regression method (to determine odds ratio, OR) were used in the statistical analysis.Results: Overweight and obesity were observed in 75.7% of the participants. Excessive %BF (> 35%) was observed in 56.1%, while %LM was reduced (<70%) in 78.1%. WC was elevated (= 88 cm) in 72.3%. Based on HEI values, diet quality was good in 3% (5/173), needed improvement in 48.5% (84/173), and was poor in 48.5% (84/173) of the cases. In this group, 75% of women had high intakes of lipids (> 35%), predominantly saturated and monounsaturated fat. on average, plasma TC, LDLC, and TG levels were higher than recommended in 57.2%, 79.2% and 45.1% of the women, respectively, while HDLC was low in 50.8%. There was association between HEI scores and the %BF that it was higher among women with HEI score < 80 (p = 0.021). There were not observed significant risk associations between HEI and lipid profile.Conclusion: Among the Brazilian postmenopausal women attending a public outpatient clinic, diet was considered to need improvement or to be of poor quality, attributed to high saturated fat ingestion, which probably caused a negative impact on metabolic risk indicators, namely body composition.

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Objective. to evaluate anthropometric indicators of body fat and their association with metabolic risk markers in postmenopausal women.Methods. A cross-sectional study with 80 Brazilian women (40-70 years) was carried out. Body mass index (BMI = weight/height(2)), waist circumference (WC) and waist-to-hip ratio (WHR) were obtained for anthropometric evaluation. Trunk fat mass (TFM) was measured by dual-energy X-ray absorptiometry. The following metabolic variables were evaluated: total cholesterol (TC), HDL, LDL, triglycerides (TG), as well as glycemia and insulin to determine insulin resistance (HOMA-IR).Results. Overweight and obesity were observed in 81% of the women. Values of WC >88 cm were observed in 68.5% of the women. on average, TC, LDL and TG levels were above normal levels in 60, 50 and 42.5% of the women, respectively; and HDL was normal in 82.5%. IR was observed in 37.5% of the women. Positive correlations were found between anthropometric indicators and TFM (P < 0.05). WC was most correlated with TFM (r = 0.92), followed by BMI (r = 0.88) and by WHR (r = 0.48; P < 0.05). All anthropometric indicators and TFM showed significant negative correlations with HDL and significant positive correlations with HOMA-IR (P < 0.05). Only WHR was significantly associated with dysglycemia (R(2) = 12%), hypertriglyceridemia (R(2) = 17%) and decreased HDL (R(2) = 27%). WC was significantly associated with HOMA-IR (R(2) = 34%).Conclusion. WC and WHR are anthropometric measures that showed strong correlation with TFM and with metabolic risk markers in postmenopausal women.

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Objective To evaluate the prevalence of metabolic syndrome (MetS) and its associated risk factors in Brazilian postmenopausal women.Methods In this cross-sectional study, a total of 368 postmenopausal women, aged 40-75 years, seeking health care at a public outpatient center in Southeastern Brazil, were included. According to the US National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) guidelines, MetS was diagnosed in subjects with three or more of the following: waist circumference >= 88 cm, blood pressure >= 130/85 mHg, triglycerides >= 150 mg/dl, high density lipoprotein cholesterol <50 mg/dl and glucose >= 110 mg/dl. Data on past medical history, tobacco use, anthropometric indicators, and values of C-reactive protein (CRP) were collected. Multivariate analysis, using a logistic regression model (odds ratio, OR) was used to evaluate the influence of various simultaneous MetS risk factors.Results The prevalence of having at least three, four and five MetS diagnostic criteria were met in 39.6%, 16.8% and 3.8% of the cases, respectively. The most prevalent risk factor was abdominal obesity, affecting 62.5% of women. The risk of MetS increased with a personal history of diabetes (OR 5.95, 95% confidence interval (CI) 2.82-12.54), hypertension (OR 4.52, 95% CI 2.89-7.08), cardiovascular disease (OR 2.16, 95% CI 1.18-3.94) and high CRP (>1 mg/dl) (OR 3.35, 95% CI 1.65-6.79). Plasma CRP levels increased with the number of MetS components present. Age, time since menopause and smoking had no influence, while hormone therapy reduced MetS risk (OR 0.64, 95% CI 0.42-0.97).Conclusion Metabolic syndrome was highly prevalent among Brazilian postmenopausal women seeking gynecologic health care. Abdominal obesity, diabetes, hypertension and high CRP were strong MetS predictors and hormone therapy appeared to play a protective role for this condition.

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Purpose. To evaluate whether menstrual irregularity in morbidly obese women is indicative of metabolic dysfunction.Patients and Methods. Fifty-seven women with morbid obesity were evaluated. They were divided into two groups: one comprising women without menstrual dysfunctions or hirsutism (Group 1), and another obese women showing menstrual dysfunction with or without hirsutism (Group 2). The following were evaluated: age, colour, childbirth, marital status, profession, socio-economic level, education, age at menarche, body weight, height, body mass index, presence of hirsutism (Ferriman Gallwey Index), abdominal circumference, hip circumference, waist-to-hip ratio, menstrual cycle, blood pressure, presence of acanthosis nigricans, insulin resistance (IR), fasting glycaemia, total cholesterol, HDL-C, LDL-C, triglycerides, thyroid-stimulating hormone, free T4, luteinising hormone (LH), follicle-stimulating hormone, prolactin, total testosterone, dehydroepiandrosterone sulfate, insulin and the Homeostasis Model Assessment (HOMA test).Results. Clinical and epidemiological aspects did not present statistical differences. Clinical and laboratory parameters did not show statistically significant alterations; however, HOMA test values for Group 2 were significantly higher than those for Group 1.Conclusions. The presence of IR in class III obese women can cause menstrual dysfunctions such as amenorrhoea or oligomenorrhoea even in the absence of hyperandrogenism, suggesting that IR plays an important role in the ovarian mechanisms involved in the menstrual cycle control.

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Objective The aims of this study were to evaluate the prevalence of metabolic syndrome (MS) in a cohort of pregnant women with a wide range of glucose tolerance, pre-pregnancy risk factors for MS during pregnancy and the effects of MS in the occurrence of adverse perinatal outcomes.Research Design and Methods One hundred and thirty six women with positive screening for gestational diabetes (GDM) were classified by two diagnostic methods: glycaemic profile and 100 g oral glucose tolerance test (OGTT) as normoglycaemic, mild gestational hyperglycaemic, GDM, and overt GDM. Markers of insulin resistance were measured between 24-28 and 36th week of gestation, and 6 weeks after delivery.Results The prevalence of MS was 0; 20.0; 23.5 and 36.4% in normoglycaemic, mild hyperglycaemic, GDM and overt GDM groups, respectively. Previous history of GDM with or without insulin use, body mass index (BMI) >= 25, hypertension, family history of diabetes in first-degree relatives, non-Caucasian ethnicity, history of prematurity and polyhydramnios were statistically significant pre-pregnancy predictors for MS in the index pregnancy, that by its turn increased the occurrence of adverse perinatal outcomes (p = 0.01).Conclusions The prevalence of MS increases with the worsening of glucose tolerance and is an independent predictor of adverse perinatal outcomes; impaired glycaemic profile identifies pregnancies with important metabolic abnormalities that are linked to the occurrence of adverse perinatal outcomes even in the presence of a normal OGTT, in patients that are not currently classified as having GDM. Copyright (C) 2008 John Wiley & Sons, Ltd.

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Background: In this study, we sought to evaluate the prevalence of metabolic syndrome (MS) in a cohort of pregnant women with a wide range of glucose tolerance, prepregnancy risk factors for MS during pregnancy, and the effects of MS in the outcomes in the mother and in the newborn.Methods: One hundred and thirty six women with positive screening for gestational diabetes mellitus (GDM) were classified by two diagnostic methods: glycemic profile and 100 g OGTT as normoglycemic, mild gestational hyperglycemic, GDM, and overt GDM. Markers of MS were measured between 2428(th) during the screening.Results: The prevalence of MS was: 0%; 20.0%; 23.5% and 36.4% in normoglycemic, mild hyperglycemic, GDM, and overt GDM groups, respectively. Previous history of GDM with or without insulin use, BMI >= 25, hypertension, family history of diabetes in first degree relatives, non-Caucasian ethnicity, history of prematurity and polihydramnios were statistically significant prepregnancy predictors for MS in the index pregnancy, that by its turn increased the adverse outcomes in the mother and in the newborn.Conclusion: The prevalence of MS increases with the worsening of glucose tolerance; impaired glycemic profile identifies pregnancies with important metabolic abnormalities even in the presence of a normal OGTT, in patients that are not classified as having GDM.

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This study aimed at evaluating glycemia and lipid profile of offspring from diabetic Wistar rats treated with Mentha piperita (peppermint) juice. Male offspring from nondiabetic dams (control group: 10 animals treated with water and 10 treated with peppermint juice) and from dams with streptozotocin-induced severe diabetes (diabetic group: 10 animals treated with water and 10 treated with peppermint juice) were used. They were treated during 30 days, and, after the treatment period, levels of glycemia, triglycerides, total cholesterol, and fractions were analyzed in the adult phase. The offspring from diabetic dams treated with peppermint showed significantly reduced levels of glucose, cholesterol, LDL-c, and triglycerides and significant increase in HDL-c levels. The use of the M. piperita juice has potential as culturally appropriate strategy to aid in the prevention of DM, dyslipidemia, and its complications.

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Objective: To determine correlations between age and metabolic disorders in Parkinson's disease (PD) patients. Methods: This observational cross-sectional study included brief tests for dementia and the Mattis test. Signals of metabolic syndrome were evaluated. Results: There was no significant effect from the presence of hypertension (OR=2.36 for patients under 65 years old and OR=0.64 for patients over 65), diabetes or hypercholesterolemia regarding occurrences of dementia associated with PD (24% of the patients). The study demonstrated that each year of age increased the estimated risk of dementia in PD patients by 9% (OR=1.09; 95%Cl: 1.01-1.17). Conclusion: There was no evidence to correlate the presence of metabolic syndrome with the risk of dementia that was associated with PD. The study confirmed that dementia in PD is age dependent and not related to disease duration.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Background: Metabolic Syndrome (MS) is defined as the association of numerous factors that increase cardiovascular risk and diet is one of the main factors related to increase the MS in the population. This study aimed to evaluate the association of diet on the presence of MS in an adult population sample.Methodology: 305 adults were clinically screened to participate in a lifestyle modification program. Anthropometric assessments included waist circumference (WC), body fat and calculated BMI (kg/m(2)) and muscle-mass index (MMI kg/m(2)). Dietary intake was estimated by 24 h dietary recall. Fasting blood was used for biochemical analysis. MS was diagnosed using NCEP-ATPIII (2001) criteria with adaptation for glucose (>= 100 mg/dL). Logistic regression (Odds ratio) was performed in order to determine the odds ratio for developing MS according to dietary intake.Results: An adequate intake of fruits, OR = 0.52 (CI:0.28-0.98), and an intake of more than 8 different items in the diet (variety), OR = 0.31 (CI: 0.12-0.79) showed to be a protective factor against a diagnosis of MS. Saturated fat intake greater than 10% of total caloric value represented a risk for MS diagnosis, OR = 2.0 (1.04-3.84).Conclusion: Regarding the dietary aspect, a risk factor for MS was higher intake of saturated fat, and protective factors were high diet variety and adequate fruit intake.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)