67 resultados para Health education. Popular health education. Group diabetes Mellitus.


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Periodontitis is a multi-factorial disease and in most cases also a disease with a chronic progression. Exposure to factors which contribute to periodontitis occurs over a long period, so that at the time of diagnosis it may be difficult to identify and evaluate what co-factors have contributed to its development. These include exposure to bacteria and viruses, inflammation, genetic factors, health behaviours and a variety of social factors, socio-economic status, behavioural and nutritional habits, the ability to cope with stress and the ability of the immune system to fight infections. Many patients in their 50s also experience other conditions such as heart disease, diabetes mellitus, or rheumatoid arthritis and recent reports on the associations and potential biological mechanisms by which periodontitis can be linked to other systemic diseases suggest that the patient with periodontitis is a challenged individual. Neither individuals nor their oral health care providers are currently prepared for the challenges in oral health care as the expectation of successful ageing with remaining and aesthetically functional teeth is increasing. The scientific evidence is, however, growing, and while the opportunities to prepare for successful ageing exist they must be included in the educational process of both current and future oral health care providers and their patients.

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AIMS: Diabetes mellitus (DM) plays an important role in the development of coronary artery disease. Although previous studies have associated drug-eluting stent (DES) implantation in diabetic patients with favourable clinical and angiographic outcomes, the very long-term efficacy of these devices in diabetic patients undergoing PCI for significant unprotected left main coronary artery (ULMCA) disease has not been established yet. METHODS AND RESULTS: Consecutive diabetic patients (n=100), who underwent elective PCI with DES for de novo lesions in an ULMCA between April 2002 and April 2004 in seven tertiary health care centres, were identified retrospectively and analysed. Consecutive non-diabetic patients (n=193), who underwent elective DES implantation for unprotected ULMCA disease, were selected as a control group. All patients were followed for at least 36 months. At 3-years follow-up, freedom from cardiac death ; myocardial infarction (CDMI), target lesion revascularisation (TLR) and target vessel revascularisation (TVR) did not differ significantly between groups. The adjusted freedom from major adverse cardiac events (MACE, defined as the occurrence of CD, MI or TVR) was 63.4% in the DM group and 77.6% in the controls (p<0.001). When divided into IDDM and NIDDM sub-groups, insulin-dependent DM (IDDM) but not non IDDM (NIDDM) patients had significantly lower freedom from CDMI, TLR, TVR and MACE compared to controls. CONCLUSIONS: These results suggest that major improvements in DES technology and pharmacotherapy are still required to improve clinical outcome and that the decision to perform percutaneous revascularisation in this subset of patients should be taken cautiously and on a case by case basis.

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OBJECTIVE The aim of this study was to assess the association between frailty and risk for heart failure (HF) in older adults. BACKGROUND Frailty is common in the elderly and is associated with adverse health outcomes. Impact of frailty on HF risk is not known. METHODS We assessed the association between frailty, using the Health ABC Short Physical Performance Battery (HABC Battery) and the Gill index, and incident HF in 2825 participants aged 70 to 79 years. RESULTS Mean age of participants was 74 ± 3 years; 48% were men and 59% were white. During a median follow up of 11.4 (7.1-11.7) years, 466 participants developed HF. Compared to non-frail participants, moderate (HR 1.36, 95% CI 1.08-1.71) and severe frailty (HR 1.88, 95% CI 1.02-3.47) by Gill index was associated with a higher risk for HF. HABC Battery score was linearly associated with HF risk after adjusting for the Health ABC HF Model (HR 1.24, 95% CI 1.13-1.36 per SD decrease in score) and remained significant when controlled for death as a competing risk (HR 1.30; 95% CI 1.00-1.55). Results were comparable across age, sex, and race, and in sub-groups based on diabetes mellitus or cardiovascular disease at baseline. Addition of HABC Battery scores to the Health ABC HF Risk Model improved discrimination (change in C-index, 0.014; 95% CI 0.018-0.010) and appropriately reclassified 13.4% (net-reclassification-improvement 0.073, 95% CI 0.021-0.125; P = .006) of participants (8.3% who developed HF and 5.1% who did not). CONCLUSIONS Frailty is independently associated with risk of HF in older adults.

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Type 2 diabetes mellitus and pre-diabetes are risk factors for atherosclerosis and are highly prevalent in patients with coronary artery disease. However, the prevalence of impaired glucose metabolism in patients with peripheral artery disease is not as well elucidated. We aimed at comparing prevalence rates of type 2 diabetes mellitus and pre-diabetes, which were diagnosed according to the current American Diabetes Association criteria, among 364 patients with peripheral artery disease, 529 patients with coronary artery disease and 383 controls. The prevalence of type 2 diabetes mellitus in peripheral artery disease patients was 49.7%. It was significantly higher in these patients than in coronary artery disease patients (34.4%; p < 0.001) and controls (21.4%; p < 0.001). Adjusted for sex, age and body mass index, odds ratios for type 2 diabetes mellitus were 2.0 (95% confidence interval 1.5-2.6) comparing the peripheral artery disease group with the coronary artery disease group (p < 0.001) and 4.0 (2.8-5.8) comparing the peripheral artery disease group with controls (p < 0.001). The prevalence of pre-diabetes among non-diabetic subjects was high in all three study groups (64.5% in peripheral artery disease patients, 63.4% in coronary artery disease patients and 61.8% in controls), without significant between-group differences. In conclusion, the prevalence of type 2 diabetes mellitus is even higher in peripheral artery disease patients than in coronary artery disease patients. This observation underlines the need to consider impaired glucose regulation in the management of peripheral artery disease.

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Interleukin-1β (IL-1β) is a key cytokine involved in inflammatory illnesses including rare hereditary diseases and common chronic inflammatory conditions as gout, rheumatoid arthritis, and type 2 diabetes mellitus, suggesting reduction of IL-1β activity as new treatment strategy. The objective of our study was to assess safety, antibody response, and preliminary efficacy of a novel vaccine against IL-1β. The vaccine hIL1bQb consisting of full-length, recombinant IL-1β coupled to virus-like particles was tested in a preclinical and clinical, randomized, placebo-controlled, double-blind study in patients with type 2 diabetes. The preclinical simian study showed prompt induction of IL-1β-specific antibodies upon vaccination, while neutralizing antibodies appeared with delay. In the clinical study with 48 type 2 diabetic patients, neutralizing IL-1β-specific antibody responses were detectable after six injections with doses of 900 µg. The development of neutralizing antibodies was associated with higher number of study drug injections, lower baseline body mass index, improvement of glycemia, and C-reactive protein (CRP). The vaccine hIL1bQb was safe and well-tolerated with no differences regarding adverse events between patients receiving hIL1bQb compared to placebo. This is the first description of a vaccine against IL-1β and represents a new treatment option for IL-1β-dependent diseases such as type 2 diabetes mellitus (ClinicalTrials.gov NCT00924105).Molecular Therapy (2016); doi:10.1038/mt.2015.227.

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INTRODUCTION Our aim was to investigate the prognostic value of first-trimester glycosylated hemoglobin (HbA1c) in pregnant women with risk factors for developing gestational diabetes mellitus (GDM). MATERIAL AND METHODS This is an observational retrospective cohort study conducted at the Department of Obstetrics and Gynecology, University Hospital Bern, Switzerland. We included pregnant women at high risk for GDM (n = 208), who had an HbA1c measurement in the first trimester. We compared HbA1c values of women who later developed GDM with those who did not develop GDM. Diagnosis of GDM was made on the basis of a 75-g oral glucose tolerance test performed between 24 and 28 weeks of gestation. We further examined the prevalence of GDM in relation to the first-trimester HbA1c value. RESULTS The prevalence of GDM in our high-risk group was 14.7%. Women who developed GDM had significantly higher first-trimester HbA1c values [5.43 ± 0.31% (36 ± 3 mmol/mol) vs. 5.23 ± 0.28% (34 ± 3 mmol/mol); p = 0.0026]. Moreover, all pregnant women with HbA1c ≥6.0% (42 mmol/mol) developed GDM, whereas those with <4.5% (26 mmol/mol) did not. CONCLUSIONS Women at risk for GDM have higher first-trimester HbA1c levels and values ≥6.0% (42 mmol/mol) are predictive of GDM. This information may be useful for counseling these women and providing appropriate advice on diet and lifestyle modification early in pregnancy.

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Glycogen is a major substrate in energy metabolism and particularly important to prevent hypoglycemia in pathologies of glucose homeostasis such as type 1 diabetes mellitus (T1DM). (13) C-MRS is increasingly used to determine glycogen in skeletal muscle and liver non-invasively; however, the low signal-to-noise ratio leads to long acquisition times, particularly when glycogen levels are determined before and after interventions. In order to ease the requirements for the subjects and to avoid systematic effects of the lengthy examination, we evaluated if a standardized preparation period would allow us to shift the baseline (pre-intervention) experiments to a preceding day. Based on natural abundance (13) C-MRS on a clinical 3 T MR system the present study investigated the test-retest reliability of glycogen measurements in patients with T1DM and matched controls (n = 10 each group) in quadriceps muscle and liver. Prior to the MR examination, participants followed a standardized diet and avoided strenuous exercise for two days. The average coefficient of variation (CV) of myocellular glycogen levels was 9.7% in patients with T1DM compared with 6.6% in controls after a 2 week period, while hepatic glycogen variability was 13.3% in patients with T1DM and 14.6% in controls. For comparison, a single-session test-retest variability in four healthy volunteers resulted in 9.5% for skeletal muscle and 14.3% for liver. Glycogen levels in muscle and liver were not statistically different between test and retest, except for hepatic glycogen, which decreased in T1DM patients in the retest examination, but without an increase of the group distribution. Since the CVs of glycogen levels determined in a "single session" versus "within weeks" are comparable, we conclude that the major source of uncertainty is the methodological error and that physiological variations can be minimized by a pre-study standardization. For hepatic glycogen examinations, familiarization sessions (MR and potentially strenuous interventions) are recommended. Copyright © 2016 John Wiley & Sons, Ltd.