685 research outputs found

    The prevalence of Type 2 diabetes and its associated health problems in a community-dwelling elderly population.

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    AIMS: Prevalence estimates of Type 2 diabetes and its associated health problems in elderly populations are rare, especially in the very elderly. METHODS: A sample of 15 095 community-dwelling older people aged > or = 75 years were assessed. Type 2 diabetes and associated health problems were identified using self-reporting, general practitioner records, drug histories, and blood and urine measurements. RESULTS: There were 1177 people identified as having Type 2 diabetes mellitus, giving an overall prevalence of 7.8% (95% confidence interval 7.1, 8.5), 9.4% (8.4, 10.5) for men and 6.8% (6.1, 7.6) for women. The age, sex and smoking adjusted odds ratios for various health problems, comparing people with and without diabetes were: low vision 1.6 (1.3, 1.9), proteinuria 1.7 (1.4, 2.1), chronic kidney disease stage 4 or 5 1.5 (1.0, 2.1), angina 1.3 (1.1, 1.6), myocardial infarction 1.5 (1.2, 1.8), cerebrovascular event 2.0 (1.8, 2.1) and foot ulceration 1.7 (1.2, 2.4). CONCLUSIONS: The prevalence of Type 2 diabetes is not high in community-dwelling older people, but diabetes was a contributory factor to a number of health problems

    Smoking, dementia and cognitive decline in the elderly, a systematic review.

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    Background. Nicotine may aid reaction time, learning and memory, but smoking increases cardiovascular risk. Cardiovascular risk factors have been linked to increased risk of dementia. A previous meta-analysis found that current smokers were at higher risk of subsequent dementia, Alzheimers disease, vascular dementia and cognitive decline. Methods. In order to update and examine this further a systematic review and meta-analysis was carried out using different search and inclusion criteria, database selection and more recent publications. Both reviews were restricted to those aged 65 and over. Results. The review reported here found a significantly increased risk of Alzheimers disease with current smoking and a likely but not significantly increased risk of vascular dementia, dementia unspecified and cognitive decline. Neither review found clear relationships with former smoking. Conclusion. Current smoking increases risk of Alzheimers disease and may increase risk of other dementias. This reinforces need for smoking cessation, particularly aged 65 and over. Nicotine alone needs further investigation. © 2008 Peters et al; licensee BioMed Central Ltd

    Political Leadership as Statecraft? Aligning Theory with Praxis in Conversation with British Party Leaders

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    How should prime ministerial and party leadership be understood and assessed? One leading approach posits that we should assess them in terms of whether they achieve statecraft, that is, winning and maintain office in government. This article supplements and then assesses that theory by drawing from Pawson and Tilley’s (1997) concept of the realistic interview, in which practitioners are deployed as co-researchers to assess and revise theory. Unprecedented interviews with British party leaders were therefore undertaken. The article provides new empirical support for the framework because many of the key generative mechanisms identified within the neo-statecraft model were present in an analysis of the interviews. The interviews also allowed the limitations of the model to be demarcated. Statecraft focusses purely on cunning leadership where the aim is to maximise power and influence. This differs from leadership by conscious where the aim is to achieve normative goals

    Use of probiotic Lactobacillus preparation to prevent diarrhoea associated with antibiotics: randomised double blind placebo controlled trial

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    Objective To determine the efficacy of a probiotic drink containing Lactobacillus for the prevention of any diarrhoea associated with antibiotic use and that caused by Clostridium difficile. Design Randomised double blind placebo controlled study. Participants 135 hospital patients (mean age 74) taking antibiotics. Exclusions included diarrhoea on admission, bowel pathology that could result in diarrhoea, antibiotic use in the previous four weeks, severe illness, immunosuppression, bowel surgery, artificial heart valves, and history of rheumatic heart disease or infective endocarditis. Intervention Consumption of a 100 g (97 ml) drink containing Lactobacillus casei, L bulgaricus, and Streptococcus thermophilus twice a day during a course of antibiotics and for one week after the course finished. The placebo group received a longlife sterile milkshake. Main outcome measures Primary outcome: occurrence of antibiotic associated diarrhoea. Secondary outcome: presence of C difficile toxin and diarrhoea. Results 7/57 (12%) of the probiotic group developed diarrhoea associated with antibiotic use compared with 19/56 (34%) in the placebo group (P=0.007). Logistic regression to control for other factors gave an odds ratio 0.25 (95% confidence interval 0.07 to 0.85) for use of the probiotic, with low albumin and sodium also increasing the risk of diarrhoea. The absolute risk reduction was 21.6% (6.6% to 36.6%), and the number needed to treat was 5 (3 to 15). No one in the probiotic group and 9/53 (17%) in the placebo group had diarrhoea caused by C difficile (P=0.001). The absolute risk reduction was 17% (7% to 27%), and the number needed to treat was 6 (4 to 14). Conclusion Consumption of a probiotic drink containing L casei, L bulgaricus, and S thermophilus reduce the incidence of antibiotic associated diarrhoea and C difficile associated diarrhoea. This has the potential to decrease morbidity, healthcare costs, and mortality if used routinely in patients aged over 50

    Irbesartan improves arterial compliance more than lisinopril

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    BACKGROUND Antihypertensive agents can reduce arterial stiffness. We hypothesized that an angiotensin receptor blocker (ARB) irbesartan and an angiotensin converting enzyme inhibitor (ACEI) lisinopril improved arterial compliance. METHODS A randomized, double-blind, double-dummy, controlled crossover trial. Fifteen hypertensive patients, mean age 65.5 +/- 8.9 years (mean +/- SD) were given irbesartan (150 to 300 mg/day) or lisinopril (10 to 20 mg/day) for 12 weeks and then crossed over for 12 weeks. Pulse wave velocity (PWV) in the carotid-femoral (CF), carotid-radial (CR), and femoral dorsalis-pedis (FD) were measured using a Complior((R)) PWV system. RESULTS After 12 weeks, systolic blood pressure (SBP) decreased from 162.4 +/- 12.9 to 134.5 +/- 14.8 with irbesartan and to 145.2 +/- 25 mmHg with lisinopril. Irbesartan and lisinopril reduced PWV (CF) in the elastic arterial system from 15.1 +/- 5 to 13.3 +/- 2.6 (p < 0.005) and to 14 +/- 4.7 (p < 0.05) m/s respectively (p = 0.345). Irbesartan reduced PWV (CR) and PWV (FD), whereas lisinopril did not. The difference between treatments was significant after SBP adjustment (p = 0.037 for PWV (CR) and p < 0.001 for PWV (FD)). CONCLUSIONS Irbesartan improved arterial compliance in elastic and muscular arteries, whereas lisinopril improved it only in elastic arteries

    Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation

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    Deep neural networks are highly susceptible to learning biases in visual data. While various methods have been proposed to mitigate such bias, the majority require explicit knowledge of the biases present in the training data in order to mitigate. We argue the relevance of exploring methods which are completely ignorant of the presence of any bias, but are capable of identifying and mitigating them. Furthermore, we propose using Bayesian neural networks with an epistemic uncertainty-weighted loss function to dynamically identify potential bias in individual training samples and to weight them during training. We find a positive correlation between samples subject to bias and higher epistemic uncertainties. Finally, we show the method has potential to mitigate visual bias on a bias benchmark dataset and on a real-world face detection problem, and we consider the merits and weaknesses of our approach.Comment: To be published in 2022 IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Visio

    Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task

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    While several previous studies have devised methods for segmentation of polyps, most of these methods are not rigorously assessed on multi-center datasets. Variability due to appearance of polyps from one center to another, difference in endoscopic instrument grades, and acquisition quality result in methods with good performance on in-distribution test data, and poor performance on out-of-distribution or underrepresented samples. Unfair models have serious implications and pose a critical challenge to clinical applications. We adapt an implicit bias mitigation method which leverages Bayesian epistemic uncertainties during training to encourage the model to focus on underrepresented sample regions. We demonstrate the potential of this approach to improve generalisability without sacrificing state-of-the-art performance on a challenging multi-center polyp segmentation dataset (PolypGen) with different centers and image modalities.Comment: To be presented at the Fairness of AI in Medical Imaging (FAIMI) MICCAI 2023 Workshop and published in volumes of the Springer Lecture Notes Computer Science (LNCS) serie

    Fracture risk and the use of a diuretic (indapamide sr) ± perindopril: a substudy of the Hypertension in the Very Elderly Trial (HYVET)

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    BACKGROUND: The Hypertension in the Very Elderly Trial (HYVET) is a placebo controlled double blind trial of treating hypertension with indapamide Slow Release (SR) ± perindopril in subjects over the age of 80 years. The primary endpoints are stroke (fatal and non fatal). In view of the fact that thiazide diuretics and indapamide reduce urinary calcium and may increase bone mineral density, a fracture sub study was designed to investigate whether or not the trial anti-hypertensive treatment will reduce the fracture rate in very elderly hypertensive subjects. METHODS: In the trial considerable care is taken to ascertain any fractures and to identify risk factors for fracture, such as falls, co-morbidity, drug treatment, smoking and drinking habits, levels of activity, biochemical abnormalities, cardiac irregularities, impaired cognitive function and symptoms of orthostatic hypotension. POTENTIAL RESULTS: The trial is expected to provide 10,500 patient years of follow-up. Given a fracture rate of 40/1000 patient years and a 20% difference in fracture rate, the power of the sub study is 58% to detect this difference at the 5% level of significance. The corresponding power for a reduction of 25% is 78%. CONCLUSION: The trial is well under way, expected to complete in 2009, and on target to detect, if present, the above differences in fracture rate
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