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Query: UMLS:C0028754 (obesity)
 124,988 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Our objective was to investigate possible factors implicated in either early death from or scintigraphic resolution of pulmonary embolism. To that end we conducted a retrospective study of 116 patients with either a high likelihood of pulmonary thromboembolism (PTE) diagnosed by scintiscan or with a fair probability of PTE by scintiscan accompanied by a positive phlebograph. The images were taken upon admission, at 7 days, 10 days and 6 months. The factors analyzed were age, sex, trauma, immobility, surgery, obesity, hemiplegia, venous insufficiency, cardiopulmonary disease, neoplasia, chest X-ray and ECG alterations, D(A-a)O2 and size of perfusion defects upon admission and 7 to 10 days later. We performed single-variable analyses and multiple logical regression analyses using perfusion defect at 6 months as the dependent variable. The early mortality rate (13%) was higher in patients with neoplasms, a larger alveolar-arterial index and greater perfusion defects upon admission. Scintiscans became normal in 28%. Multivariate analysis to predict total or partial resolution at 6 months showed that size of perfusion defects at 7 to 10 days was the best predictive factor. A cutoff point was calculated by analyzing the ROC for this factor. Thus, when the defect at 7 to 10 days was equal to or greater than 1 segment, the probability of residual defects remaining after 6 months was twice as great (sensitivity 83%, specificity 57%). In conclusion, early death was more likely in PTE patients with neoplasms, larger defects upon admission and greater alveolar-arterial difference. Scintigrams showed resolution 6 months after admission in 28%. The size of perfusion defects 7 to 10 days after admission was the factor that best predicted total of partial resolution at 6 months.
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PMID:[The prognostic factors for early mortality and for total or partial gammagraphic resolution in venous thromboembolic disease]. 925 67

Women suffering from type-2 diabetes mellitus (NIDDM) show a more android fat pattern than healthy females, but to date no exact determination of their fat distribution differences exists. Measurements at 15 specified body sites with an optical device, the LIPOMETER, provide a subcutaneous adipose tissue topography (SAT-Top) of the individual. SAT-Top of 20 female NIDDM patients and 122 healthy controls was measured. ROC curve analysis was applied to evaluate the discriminative power of each body site and to provide cutoff values. Then a classification tree by the CART algorithm was established, showing SAT-Top differences between the two groups. Best discriminating results were achieved by the neck site (ROC area index = 0.76, sensitivity = 61.3%, specificity = 77.8%), the four sites of the thigh (area indices from 0.71 to 0.76), and a linear combination of all body sites stemming from a previous factor analysis, which provides condensed information of the extremities SAT-Top (area index = 0.80, sensitivity = 80.4%, specificity = 64.6%). The results could be improved by a summary measure of "android fat pattern" (area index = 0.89, sensitivity = 73.6%, specificity =88.3%) and a proportional measure of SAT-distribution, the relative neck (area index = 0.84, sensitivity = 83.0%, specificity = 70.5%). Overall, 136 (95.8%) of the 142 subjects were correctly classified by the classification tree (sensitivity = 75%, specificity = 99.2%). Both methods show the expected increased upper trunk obesity and decreased lower body obesity of NIDDM women compared with healthy females. Am. J. Hum. Biol. 12:388-394, 2000. Copyright 2000 Wiley-Liss, Inc.
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PMID:ROC and CART analysis of subcutaneous adipose tissue topography (SAT-Top) in type-2 diabetic women and healthy females. 1153 29

Hypertension, dyslipidemia and type 2 diabetes, important cardiovascular risk factors, are strongly linked to obesity. Body mass index (BMI) and waist circumference (WC) are measures of obesity that can be useful in identifying individuals with these risk factors. We assessed which of the two measures is more informative at the population level. The study population included 5,149 consecutive women aged 18 to 74 recruited in an Health Center of Guadeloupe (FWI) in 1999. The areas under the ROC curves of BMI and WC and their 95% CI were computed and compared. Logistic regression analysis of BMI and WC and the areas under the ROC curves in two separate age groups (18-39 years and 40-74 years) showed that age modifies the discriminant ability of these parameters in identifying the CVD risk factors. Sensitivity equalled specificity at levels between 52-70% for BMI and 55-80% for WC. ROC areas for identifying each risk factors by BMI varied from 0.52 to 0.84 and by WC from 0.55 to 0.88. For the identifying of women with at least one CVD risk factor, in the whole population, the areas under the curves for BMI and WC (respectively, 0.71; 95% CI: 0.69-0.73 and 0.76; 95% CI: 0.74-0.78) were both significantly greater than 0.5. The difference between these correlated areas was 0.04, 95% CI [-0.05, -0.03]. The lowest values of the areas were noted in detecting women with dyslipidemia and the highest in detecting those with type 2 diabetes. Waist circumference, a practical tool that had a higher discriminant ability than BMI in identifying presence or absence of all these risk factors, appears as the best screening tool in this population.
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PMID:Body mass index (BMI) and waist circumference (WC) as screening tools for cardiovascular risk factors in Guadeloupean women. 1246 75

Obesity and insulin resistance, menstrual abnormalities and clinical and biochemical signs of hyperandrogenism are common features in women with polycystic ovary syndrome (PCOS) and Cushing's syndrome (CS). Further, an overdrive of the pituitary-adrenal axis has been documented in PCOS and this condition is often present in women with CS. For this reason, screening for hypercortisolism is often needed in obese women with polycystic ovaries. The aim of this study was to compare the diagnostic value of different screening tests for CS in a population of obese premenopausal women with PCOS and without PCOS (OB) and in a group of patients with CS. We reviewed retrospectively the case records of 117 obese women of reproductive age (60 PCOS and 57 OB, BMI 25.1-70.1, 13-45 yr) who were screened for CS at our Institution in the years 1995-2001 and turned out to be free of the disease. Data were compared with those of 58 premenopausal obese women with active CS (BMI 25.1-50.2 kg/m2, 18-45 yr). Screening for CS was performed by urinary free cortisol (UFC) (three consecutive 24-h urine collections), cortisol circadian rhythm (blood samples taken at 08:00-17:00-24:00 h), and 1 mg overnight dexamethasone suppression test (DST). A 24:00 h plasma cortisol (MNC) of 207 nmol/l, a UFC of 221 nmol/day and plasma cortisol after DST of 50 nmol/l and 138 nmol/l were taken as cut-off values for the diagnosis of CS. As expected, patients with CS showed elevated basal and post-dexamethasone plasma cortisol and UFC levels (p < 0.001 vs OB and PCOS). PCOS had higher UFC (p < 0.005) but not MNC and post-DST plasma cortisol levels compared to OB. DST showed the greatest specificity and diagnostic accuracy in differentiating CS from PCOS and OB (both p < 0.05 vs MNC and UFC, according to the 138 nmol/l criterion) while MNC and UFC displayed a similar discriminatory value. However, by using a lower threshold (50 nmol/l) as response criterion, there were no diagnostic differences between DST and the other tests. Specificity and diagnostic accuracy of UFC measurement was lower in PCOS than in OB (both p < 0.05) whilst there were no differences between groups for DST and MNC. Similarly, the area under the ROC curve relative to DST, giving an estimate of the inherent diagnostic accuracy of the test, was slightly greater than those of MNC and UFC (z = 0.694 and z = 0.833 for DST vs MNC and UFC, respectively, both p = NS). These results indicate that the 1-mg DST and MNC are unaffected by the presence of PCOS and can be safely used to screen for CS premenopausal obese women with PCOS, while caution should be exercised in interpreting mildly elevated UFC levels in these patients.
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PMID:Screening for Cushing's syndrome in obese women with and without polycystic ovary syndrome. 1295 68

The present pair-matched case control study was carried out at Government Medical College Hospital, Nagpur, India, a tertiary care hospital with the objective to devise and validate a risk scoring system for prediction of hemorrhagic stroke. The study consisted of 166 hospitalized CT scan proved cases of hemorrhagic stroke (ICD 9, 431-432), and a age and sex matched control per case. The controls were selected from patients who attended the study hospital for conditions other than stroke. On conditional multiple logistic regression five risk factors- hypertension (OR = 1.9. 95% Cl = 1.5-2.5). raised scrum total cholesterol (OR = 2.3, 95% Cl = 1.1-4.9). use of anticoagulants and antiplatelet agents (OR = 3.4, 95% Cl =1.1-10.4). past history of transient ischaemic attack (OR = 8.4, 95% Cl = 2.1- 33.6) and alcohol intake (OR = 2.1, 95% Cl = 1.3-3.6) were significant. These factors were ascribed statistical weights (based on regression coefficients) of 6, 8, 12, 21 and 8 respectively. The nonsignificant factors (diabetes mellitus, physical inactivity, obesity, smoking, type A personality, history of claudication, family history of stroke, history of cardiac diseases and oral contraceptive use in females) were not included in the development of scoring system. ROC curve suggested a total score of 21 to be the best cut-off for predicting haemorrhag stroke. At this cut-off the sensitivity, specificity, positive predictivity and Cohen's kappa were 0.74, 0.74, 0.74 and 0.48 respectively. The overall predictive accuracy of this additive risk scoring system (area under ROC curve by Wilcoxon statistic) was 0.79 (95% Cl = 0.73-0.84). Thus to conclude, if substantiated by further validation, this scorincy system can be used to predict haemorrhagic stroke, thereby helping to devise effective risk factor intervention strategy.
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PMID:A risk scoring system for prediction of haemorrhagic stroke. 1647 1

Obstructive sleep apnoea (OSA) is a cardio-metabolic disorder. Whether metabolic syndrome (MS), insulin resistance (IR) and albuminuria are independently associated with OSA is unclear, but defining the interactions between OSA and various cardiovascular (CV) risk factors independent of obesity facilitates the development of therapeutic strategies to mitigate their increased CV risks. We prospectively recruited 38 subjects with OSA and 41 controls. Anthropometric measurements, glucose, lipids, insulin and blood pressure (BP) were measured after an overnight fast. IR state was defined as homeostasis model assessment (HOMA) value >3.99 and MS diagnosed according to the International Diabetes Federation (IDF) criteria. Subjects with OSA were more obese, more insulin resistant, more hyperglycaemic, had higher Epworth score (measure of day time somnolence) and systolic blood pressure levels. The prevalence of MS was higher in OSA compared with non-OSA subjects (74% vs 24%, p < 0.001). The prevalence of microalbuminuria in both groups was negligible. Logistic regression adjusted for age, BMI and smoking showed that the patient with OSA was 5.9 (95% CI 2.0-17.6) times more likely to have MS than non-OSA patient. Triglyceride (p = 0.031), glucose (0.023) and Epworth score (0.003) values were independently associated with OSA after adjusting for BMI and other covariates whilst IR status was found not to be significant. Using the ROC curve analysis, we found that a waist circumference of >103 cm would predict MS in patients with OSA at 75-78% sensitivity and 61-64% specificity. The agreement between MS and IR state in this cohort is poor. Thus, OSA is associated with MS independent of obesity predominantly due to increased triglyceride, glucose and Epworth score values but not IR or microalbuminuria status. This observation suggests an alternative pathogenic factor mediating the increased cardiovascular risk in patients with OSA and MS, other than that due to IR. The independent link between Epworth score and MS in patients with OSA implicates the role of daytime sleepiness and chronic hypoxia as a potential mediator. Given the discordant between MS and IR state, measurement of waist is useful for predicting mainly MS but not insulin resistance status in patients with OSA. Appropriate pharmacological intervention targeting these independent factors is important in reducing the increased CV risks among patients with OSA.
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PMID:Obstructive sleep apnoea is independently associated with the metabolic syndrome but not insulin resistance state. 1707 84

The high incidence of new-onset diabetes mellitus after transplantation (NODAT) suggests the need to find new factors to explain the pathogenesis. Our objectives were (1) to confirm that low levels of pre-transplant adiponectin are an independent risk factor for the development of NODAT in a larger transplanted population; (2) to analyze whether adiponectin is a better predictor of NODAT than other inflammatory markers (C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha) and pregnancy-associated plasma protein A (PAPP-A)) and (3) to assess the relationship between obesity, inflammatory markers and NODAT. One hundred ninety-nine non-diabetic patients (128 men; age: 53 +/- 11 years; body mass index (BMI) 24.98 +/- 3.76 kg/m2) were included. Pre-transplant plasma glucose, insulin, adiponectin, CRP, TNF-alpha, IL-6 and PAPP-A were measured. Forty-five patients developed NODAT. Patients with NODAT had a greater BMI (p = 0.005). Adiponectin was lower (p < 0.001) and CRP higher (p = 0.032) in patients with NODAT. Multivariate logistic regression and Cox analysis showed that the calcineurin inhibitor used, pre-transplant BMI and adiponectin were predictors of NODAT. ROC analysis showed that an adiponectin concentration of 11.4 microg/mL had a significant negative prediction for NODAT risk (sensitivity: 81% and specificity: 70%). Of the inflammatory markers studied, adiponectin proved to be an independent predictor of NODAT.
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PMID:Obesity, adiponectin and inflammation as predictors of new-onset diabetes mellitus after kidney transplantation. 1722 78

Anthropometric markers of obesity are simple means that may be used as markers of cardiovascular risk and insulin resistance. We compare body mass index, waist circumference and waist hip ratio as tools to screen for insulin resistance in 81 overweight Indigenous Australians using ROC curve analysis. Body mass index and waist circumference emerged as better predictors of insulin resistance compared with waist hip ratio.
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PMID:Association between anthropometric measures of obesity and insulin resistance in a self-selected group of Indigenous Australians. 1735 52

Abdominal obesity is associated with cardiovascular disease. This study aims to compare two measures of abdominal obesity [waist and wais-to-hip ratio (WHR)] in patients with DM2 to identify cardiovascular risk factors: ischemic cardiopathy, hypertension, dislipidemia, obesity and diabetic nephropathy. A multicentric study was performed in 820 patients with type 2 DM. Waist circumference strongly correlated with body mass index (BMI), for men (r= 0.814; P< 0.05) and women (r= 0.770; P< 0.05). On the other hand, WRH was weakly correlated (r= 0.263, P< 0.05 for men; r= 0.092, P< 0.05 for women). Only waist circumference correlated with systolic pressure (r= 0.211, P< 0.05 for men; r= 0,224, P< 0.05 for women). ROC curve analysis demonstrated the superiority of waist circumference measurement compared to WHR regarding obesity and hypertension for men and women, and dyslipidemia for men. In conclusion, waist circumference is better correlated with cardiovascular risk factor than WRH.
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PMID:[Waist measure and waist-to-hip ratio and identification of clinical conditions of cardiovascular risk: multicentric study in type 2 diabetes mellitus patients]. 1754 44

The optical device LIPOMETER enables the non-invasive, quick, and save determination of the thickness of subcutaneous adipose tissue layers at any given site of the human body. The specification of 15 evenly distributed body sites allows the precise measurement of subcutaneous body fat distribution, so-called subcutaneous adipose tissue topography (SAT-Top). In the present paper we focus on SAT-Top of male type-2 diabetes patients (N=21), describing very precisely their special SAT development and their SAT-Top deviation from a healthy control group (N=111), applying factor analysis and ROC curves. Factor analysis revealed three independent subcutaneous body fat compartments, which can be summarised as "upper body", "lower trunks" and "legs". The upper body SAT-Top is much more pronounced in diabetic men compared to their healthy controls (p<0.001). Furthermore, high diagnostic power by ROC curve analysis was achieved by different measurement sites of the upper body and summary measures of upper body obesity (sum2, which is the sum of neck and biceps, provides: area index =0.86, sensitivity =81%, specificity =90.1%, at an optimal cutoff value of 18.8 mm), ascribing a higher diabetes probability to subjects with a more upper body SAT-Top pattern. Calculating new ROC curves for diabetic patients with HBA1C values >8 (N=17) and their healthy controls (N=111) we received improved discrimination power for several SAT-Top body sites, especially for sum2, showing an area index of 0.91, a sensitivity of 94.1%, and a specificity of 90.1% at the optimal cutoff value of 18.8 mm. Concluding, the exact and complete description of the especial type 2 diabetic SAT pattern, which differs strongly from the SAT-Top of healthy controls, suggests the LIPOMETER technique combined with advanced statistical methods such as factor analysis and ROC curve analysis as a possible detecting tool for this disease.
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PMID:Subcutaneous fat patterns in type-2 diabetic men and healthy controls. 1875 18


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