956 resultados para CORONARY-ARTERY


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Background The benefits of secondary preventive measures for stable coronary artery disease are well established and risk factor treatment targets are defined.

Aim The aim of this study was to examine Australian general practitioners' (GP) perception and management of risk factors in chronic stable angina patients in primary care.

Methods Using a cluster-stratified design, 2031 consecutive stable angina patients were recruited between October 2006 and March 2007 by 207 GP who documented their risk factors and reported if they were optimally controlled.

Results Among the patients, 93% had objective evidence of coronary artery disease and 63% were male, and mean age was 71 ± 11 years. Based upon national guidelines, recommended targets were achieved in: 60% for blood pressure, 24% for body mass index, 23% for waist circumference, 17% for lipid profiles (low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides) and 54% of diabetics for haemoglobin A1c. However, GP perceived risk factors to be ‘optimally controlled’ in: 86% for blood pressure (kappa statistic (κ) = 0.37), 44% for weight (κ = 0.3), 70% for lipids (κ = 0.20) and 60% for haemoglobin A1c (κ = 0.74).

Conclusions In this representative cohort of chronic stable angina patients attending GP, cardiovascular risk factor control was frequently suboptimal despite being perceived as satisfactory by the clinicians. New strategies that raise awareness and address this treatment gap need to be implemented.

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Current single-locus-based analyses and candidate disease gene prediction methodologies used in genome-wide association studies (GWAS) do not capitalize on the wealth of the underlying genetic data, nor functional data available from molecular biology. Here, we analyzed GWAS data from the Wellcome Trust Case Control Consortium (WTCCC) on coronary artery disease (CAD). Gentrepid uses a multiple-locus-based approach, drawing on protein pathway- or domain-based data to make predictions. Known disease genes may be used as additional information (seeded method) or predictions can be based entirely on GWAS single nucleotide polymorphisms (SNPs) (ab initio method). We looked in detail at specific predictions made by Gentrepid for CAD and compared these with known genetic data and the scientific literature. Gentrepid was able to extract known disease genes from the candidate search space and predict plausible novel disease genes from both known and novel WTCCC-implicated loci. The disease gene candidates are consistent with known biological information. The results demonstrate that this computational approach is feasible and a valuable discovery tool for geneticists.

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This article reviews recent studies relating to the impact of depression and its treatment on the health-related quality of life (HRQOL) of patients with coronary artery disease (CAD).

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Depression is common but frequently undetected in patients with coronary artery disease (CAD). Self-report screening instruments for assessing depression such as the Hospital Anxiety and Depression Scale (HADS) and the Patient Health Questionnaire-9 (PHQ-9) are available but their validity is typically determined in depressed patients without comorbid somatic illness. We investigated the validity of these instruments relative to a referent diagnostic standard in recently hospitalized patients with CAD.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)