54 resultados para NUMBER OF ABDOMINAL SPOTS
em BORIS: Bern Open Repository and Information System - Berna - Suiça
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We undertook a meta-analysis of six Crohn's disease genome-wide association studies (GWAS) comprising 6,333 affected individuals (cases) and 15,056 controls and followed up the top association signals in 15,694 cases, 14,026 controls and 414 parent-offspring trios. We identified 30 new susceptibility loci meeting genome-wide significance (P < 5 × 10 ? ? ). A series of in silico analyses highlighted particular genes within these loci and, together with manual curation, implicated functionally interesting candidate genes including SMAD3, ERAP2, IL10, IL2RA, TYK2, FUT2, DNMT3A, DENND1B, BACH2 and TAGAP. Combined with previously confirmed loci, these results identify 71 distinct loci with genome-wide significant evidence for association with Crohn's disease.
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Two thirds of patients with an abdominal aortic aneurysm (AAA) have relevant coronary artery disease (CAD). AAAs are prevalent in up to 16% of smokers with CAD. General screening of AAA is controversial. Aim was to assess the potential of finding AAA prior to rupture among patients with known CAD. Main endpoint was whether AAA could have been found during follow-up by sonography or at other time of cardiovascular evaluation.
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To demonstrate that abdominal pressure impacts venous flow and pressure characteristics.
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To determine whether men with small abdominal aortic aneurysm have a preference between either endovascular or open aneurysm repair for future treatment.
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Abdominal pain can be induced by stimulation of visceral nociceptors. Activation of nociceptors usually requires previous sensitization by pathological events, such as inflammation, ischemia or acidosis. Although abdominal pain can obviously be caused by pathology of a visceral structure, clinicians frequently observe that such a pathology explains only part of the pain complaints. Occasionally, there is lack of objective signs of visceral lesions. There is clear evidence that pain states are associated with profound changes of the central processing of the sensory input. The main consequences of such alterations for patients are twofold: 1) a central sensitization, i.e. an increased excitability of the central nervous system; 2) an alteration of the endogenous pain modulation, which under normal conditions inhibits the processing of nociceptive signals in the central nervous system. Both phenomena lead to a spread of pain to other body regions and an amplification of the pain perception. The interactions between visceral pathology and alterations of the central pain processes represent an at least partial explanation for the discrepancy between objective signs of peripheral lesions and severity of the symptoms. Today, both central hypersensitivity and alteration in endogenous pain modulation can be measured in clinical practice. This information can be used to provide the patients with an explanatory model for their pain. Furthermore, first data suggest that alterations in central pain processing may represent negative prognostic factors. A better understanding of the individual pathophysiology may allow in the future the development of individual therapeutic strategies.
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BACKGROUND: The burden of abdominal obesity (AO) and its association with other cardiovascular risk factors is not known in coronary artery disease (CAD) patients attending cardiac rehabilitation (CR). The aim of this study was, therefore, to investigate the prevalence of AO and differences in cardiovascular risk factors between AO and non-AO patients. METHODS: 415 consecutive male CAD patients (mean age 58 ± 11 years) attending a three-month outpatient CR programme were assessed. Differences in cardiovascular risk profile, including blood lipids, psychosocial and socioeconomic status and exercise capacity, were compared in relation to AO and corrected for obesity measured by body-mass index (BMI) in a multivariate analysis. RESULTS: Mean waist circumference was 102 ± 11 cm. Patients of lower educational level had a higher prevalence of AO (p = 0.021) than patients with a higher educational level. AO was significantly associated with diabetes (p = 0.003) and hypertension (p <0.001). In AO patients, HDL-C levels were lower (p <0.001) and triglyceride levels higher (p = 0.006) than in non-AO patients. There was no difference in exercise capacity between AO and non-AO patients, but AO patients had a higher resting heart rate (p = 0.021). CONCLUSION: AO is highly prevalent in CAD patients attending CR. AO is, independently of BMI, associated with metabolic lipid disorders and autonomic cardiovascular dysregulation, suggesting an increased cardiovascular risk. AO patients therefore need particular attention during CR and follow-up care.
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Genome-wide association studies and candidate gene studies in ulcerative colitis have identified 18 susceptibility loci. We conducted a meta-analysis of six ulcerative colitis genome-wide association study datasets, comprising 6,687 cases and 19,718 controls, and followed up the top association signals in 9,628 cases and 12,917 controls. We identified 29 additional risk loci (P < 5 × 10(-8)), increasing the number of ulcerative colitis-associated loci to 47. After annotating associated regions using GRAIL, expression quantitative trait loci data and correlations with non-synonymous SNPs, we identified many candidate genes that provide potentially important insights into disease pathogenesis, including IL1R2, IL8RA-IL8RB, IL7R, IL12B, DAP, PRDM1, JAK2, IRF5, GNA12 and LSP1. The total number of confirmed inflammatory bowel disease risk loci is now 99, including a minimum of 28 shared association signals between Crohn's disease and ulcerative colitis.
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Localization is information of fundamental importance to carry out various tasks in the mobile robotic area. The exact degree of precision required in the localization depends on the nature of the task. The GPS provides global position estimation but is restricted to outdoor environments and has an inherent imprecision of a few meters. In indoor spaces, other sensors like lasers and cameras are commonly used for position estimation, but these require landmarks (or maps) in the environment and a fair amount of computation to process complex algorithms. These sensors also have a limited field of vision. Currently, Wireless Networks (WN) are widely available in indoor environments and can allow efficient global localization that requires relatively low computing resources. However, the inherent instability in the wireless signal prevents it from being used for very accurate position estimation. The growth in the number of Access Points (AP) increases the overlap signals areas and this could be a useful means of improving the precision of the localization. In this paper we evaluate the impact of the number of Access Points in mobile nodes localization using Artificial Neural Networks (ANN). We use three to eight APs as a source signal and show how the ANNs learn and generalize the data. Added to this, we evaluate the robustness of the ANNs and evaluate a heuristic to try to decrease the error in the localization. In order to validate our approach several ANNs topologies have been evaluated in experimental tests that were conducted with a mobile node in an indoor space.
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To assess the 5-year and 10-year survival and complication rates of implant-supported fixed reconstructions in partially and totally edentulous patients with regard to the optimal number and distribution of dental implants.
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The aim of this systematic review was to assess the optimal number of implants for removable reconstructions.