80 resultados para high volume peritoneal dialysis


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Background We have used serial visual analogue scores to demonstrate disturbances of the appetite profile in dialysis patients. This is potentially important as dialysis patients are prone to malnutrition yet have a lower nutrient intake than controls. Appetite disturbance may be influenced by accumulation of appetite inhibitors such as leptin and cholecystokinin (CCK) in dialysis patients. Methods Fasting blood samples were drawn from 43 controls, 50 haemodialysis (HD) and 39 peritoneal dialysis (PD) patients to measure leptin and CCK. Hunger and fullness scores were derived from profiles compiled using hourly visual analogue scores. Nutrient intake was derived from 3 day dietary records. Results Fasting CCK was elevated for PD (6.73 ± 4.42 ng/l vs control 4.99 ± 2.23 ng/l, P < 0.05; vs HD 4.43 ± 2.15 ng/l, P < 0.01). Fasting CCK correlated with the variability of the hunger (r = 0.426, P = 0.01) and fullness (r = 0.52, P = 0.002) scores for PD. There was a notable relationship with the increase in fullness after lunch for PD (r = 0.455, P = 0.006). When well nourished PD patients were compared with their malnourished counterparts, CCK was higher in the malnourished group (P = 0.004). Leptin levels were higher for the dialysis patients than controls (HD and PD, P < 0.001) with pronounced hyperleptinaemia evident in some PD patients. Control leptin levels demonstrated correlation with fullness scores (e.g. peak fullness, r = 0.45, P = 0.007) but the dialysis patients did not. PD nutrient intake (energy and protein intake, r = -0.56, P < 0.0001) demonstrated significant negative correlation with leptin. Conclusion Increased CCK levels appear to influence fullness and hunger perception in PD patients and thus may contribute to malnutrition. Leptin does not appear to affect perceived appetite in dialysis patients but it may influence nutrient intake in PD patients via central feeding centres.

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Background: The prevalence of end-stage kidney disease (ESKD) patients is increasing in Vietnam; however, the impact of ESKD and its treatment on a person’s quality of life (QOL) is not well understood. Objective: This research sought to examine the association between monthly income, comorbidity, length of time on dialysis, social support and health-related quality of life (HRQOL) among Vietnamese ESKD patients. Method: Using a descriptive design, 95 patients who were receiving haemodialysis (HD) and peritoneal dialysis (PD) from one hospital in Hanoi, were conveniently sampled. Results: ESKD patients reported having a moderate level of HRQOL. Factors associated with QOL were social support (r= .268, p<.05), comorbid health conditions (r= –.185, p<.05), and length of time on dialysis (r= .182, p<.05). However, monthly income was not significantly related to HRQOL (p>.05). Conclusion: The results seem to indicate that ESKD patients in Vietnam have a high level of support from family members, friends and significant others. There was also a negative impact of comorbid conditions on the QOL of these patients. Based on the results of this study, nurses ought to develop nursing interventions which will lead to a better QOL for patients, and further research into the QOL for ESKD patients in Vietnam is warranted.

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Background Chronic kidney disease (CKD) leads to a range of symptoms, which are often under-recognised and little is known about the multidimensional symptom experience in advanced CKD. Objectives To examine (1) symptom burden at CKD stages 4 and 5, and dialysis modalities, and (2) demographic and renal history correlates of symptom burden. Methods Using a cross-sectional design, a convenience sample of 436 people with CKD was recruited from three hospitals. The CKD Symptom Burden Index (CKD-SBI) was used to measure the prevalence, severity, distress and frequency of 32 symptoms. Demographic and renal history data were also collected. Results Of the sample, 75.5 % were receiving dialysis (haemodialysis, n = 287; peritoneal dialysis, n = 42) and 24.5 % were not undergoing dialysis (stage 4, n = 69; stage 5, n = 38). Participants reported an average of 13.01 ± 7.67 symptoms. Fatigue and pain were common and burdensome across all symptom dimensions. While approximately one-third experienced sexual symptoms, when reported these symptoms were frequent, severe and distressing. Haemodialysis, older age and being female were independently associated with greater symptom burden. Conclusions In CKD, symptom burden is better understood when capturing the multidimensional aspects of a range of physical and psychological symptoms. Fatigue, pain and sexual dysfunction are key contributors to symptom burden, and these symptoms are often under-recognised and warrant routine assessment. The CKD-SBI offers a valuable tool for renal clinicians to assess symptom burden, leading to the commencement of timely and appropriate interventions.

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Chronic kidney disease (CKD) is increasing globally and in Saudi Arabia it affects approximately 8% annual increment of dialysis population. It is associated with a high symptom burden. Previous studies have largely reported on the prevalence of symptoms only in the haemodialysis population. This study examined symptom burden across disease stages and treatment groups in advanced CKD, and their correlation with demographic and clinical factors. Using a cross-sectional design, a convenience sample of 436 patients with CKD was recruited from three hospitals in Saudi Arabia. The CKD Symptom Burden Index (CKD-SBI) was used to measure 32 CKD symptoms. Demographic and clinical data were also collected. Of the sample 75.5% were receiving dialysis (haemodialysis, n = 287; peritoneal dialysis, n = 42) and 24.5% were non-dialysis (CKD stage 4, n = 69; CKD stage 5, n = 38). Average symptom reported was 13.01 ± 7.67. Fatigue and pain were common and burdensome across all symptom dimensions.Approximately one-third of participants experienced sexual symptoms. Dialysis patients reported greater symptom burden, especially patients on haemodialysis. Haemodialysis treatment, older age and being female were independently associated with greater total symptom burden. In conclusion, symptom burden is high among advanced stages of CKD, particularly among those receiving dialysis. Although fatigue, pain and sexual dysfunction are key contributors to symptom burden in CKD, these symptoms are often under-recognised and warrant routine assessment. The CKD-SBI offers a valuable tool to assess symptom burden, leading to the commencement of timely and appropriate interventions.

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Atmospheric concentration of total suspended particulate matter (TSP) and associated heavy metals are a great concern due to their adverse health impacts and contribution to stormwater pollution. This paper discusses the outcomes of a study which investigated the variation of atmospheric TSP and heavy metal concentrations with traffic and land use characteristics during weekdays and weekends. Data for this study was gathered from fifteen sites at the Gold Coast, Australia using a high volume air sampler. The study detected consistently high TSP concentrations during weekdays compared to weekends. This confirms the significant influence of traffic related sources on TSP loads during weekdays. Both traffic and land use related sources equally contribute to TSP during weekends. Almost all the measured heavy metals showed high concentration on weekdays compared to weekends indicating significant contributions from traffic related emissions. Among the heavy metals, Zn concentration was the highest followed by Pb. It is postulated that re-suspension of previously deposited reserves was the main Pb source. Soil related sources were the main contributors of Mn.

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Road asset managers are overwhelmed with a high volume of raw data which they need to process and utilise in supporting their decision making. This paper presents a method that processes road-crash data of a whole road network and exposes hidden value inherent in the data by deploying the clustering data mining method. The goal of the method is to partition the road network into a set of groups (classes) based on common data and characterise the class crash types to produce a crash profiles for each cluster. By comparing similar road classes with differing crash types and rates, insight can be gained into these differences that are caused by the particular characteristics of their roads. These differences can be used as evidence in knowledge development and decision support.

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The research field was curatorship of the Machinima genre - a film-making practice that uses real time 3D computer graphics engines to create cinematic productions. The context was the presentation of gallery non-specific work for large-scale exhibition, as an investigation in thinking beyond traditional strategies of white cube. Strongly influenced by the Christiane Paul (Ed) seminal text, 'New Media in the White Cube and Beyond, Curatorial Models for Digital Art', the context was the repositioning of a genre traditionally focussed on delivery through small-screen, indoor, personal spaces, to large exhibition hall spaces. Beyond the core questions of collecting, documenting, expanding and rethinking the place of Machinima within the history of contemporary digital arts, the curatorial premise asked how to best invert the relationship between context of media production within the gaming domain, using novel presentational strategies that might best promote the 'take-home' impulse. The exhibition was used not as the ultimate destination for work but rather as a place to experience, sort and choose from a high volume of possible works for subsequent investigation by audiences within their own game-ready, domestic environments. In pursuit of this core aim, the exhibition intentionally promoted 'sensory overload'. The exhibition also included a gaming lab experience where audiences could begin to learn the DIY concepts of the medium, and be stimulated to revisit, consider and re-make their own relationship to this genre. The research was predominantly practice-led and collaborative (in close concert with the Machinima community), and ethnographic in that it sought to work with, understand and promote the medium in a contemporary art context. This benchmark exhibition, building on the 15-year history of the medium, was warmly received by the global Machinima community as evidenced by the significant debate, feedback and general interest recorded. The exhibition has recently begun an ongoing Australian touring schedule. To date, the exhibition has received critical attention nationally and internationally in Das Superpaper, the Courier Mail, Machinimart, 4ZZZ-FM, the Sydney Morning Herald, Games and Business, Australian Gamer, Kotaku Australia, and the Age.

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New substation technology, such as non-conventional instrument transformers,and a need to reduce design and construction costs, are driving the adoption of Ethernet based digital process bus networks for high voltage substations. Protection and control applications can share a process bus, making more efficient use of the network infrastructure. This paper classifies and defines performance requirements for the protocols used in a process bus on the basis of application. These include GOOSE, SNMP and IEC 61850-9-2 sampled values. A method, based on the Multiple Spanning Tree Protocol (MSTP) and virtual local area networks, is presented that separates management and monitoring traffic from the rest of the process bus. A quantitative investigation of the interaction between various protocols used in a process bus is described. These tests also validate the effectiveness of the MSTP based traffic segregation method. While this paper focusses on a substation automation network, the results are applicable to other real-time industrial networks that implement multiple protocols. High volume sampled value data and time-critical circuit breaker tripping commands do not interact on a full duplex switched Ethernet network, even under very high network load conditions. This enables an efficient digital network to replace a large number of conventional analog connections between control rooms and high voltage switchyards.

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Computer worms represent a serious threat for modern communication infrastructures. These epidemics can cause great damage such as financial losses or interruption of critical services which support lives of citizens. These worms can spread with a speed which prevents instant human intervention. Therefore automatic detection and mitigation techniques need to be developed. However, if these techniques are not designed and intensively tested in realistic environments, they may cause even more harm as they heavily interfere with high volume communication flows. We present a simulation model which allows studies of worm spread and counter measures in large scale multi-AS topologies with millions of IP addresses.

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The high volume and widespread use of industrial chemicals, the backlog of internationally untested chemicals, the uptake of synthetic chemicals found in babies’ in utero, cord blood, and in breast milk, and the lack of a unified and comprehensive regulatory framework, all underscore the importance of developing policies that protect the most vulnerable in our society – our children. Australia’s failure to do so raises profound intergenerational ethical issues. This paper tells a story of international policy, and where Australia is falling down. This paper highlights the need for significant policy reforms in the area of chemical regulation in Australia. We argue that we can learn much from countries already taking critical steps to reduce the toxic chemical exposure, and the development of a comprehensive, child-centered chemical regulation framework is central to turning this around.

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The production of fashion garments has negative environmental and social impacts that can potentially be reduced through decisions made in the design process. This research explores to what extent Australian mass-market fashion designers consider environmental sustainability within product design. The study presents three case studies from different market levels, assembled through interviews with designers, along with an analysis of the Australian mass-market fashion industry. The project provides insights into the workings of the fashion design process within mid and high volume companies, and identifies opportunities and barriers for consideration of sustainability.

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Increasing global competition, rapid technological changes, advances in manufacturing and information technology and discerning customers are forcing supply chains to adopt improvement practices that enable them to deliver high quality products at a lower cost and in a shorter period of time. A lean initiative is one of the most effective approaches toward achieving this goal. In the lean improvement process, it is critical to measure current and desired performance level in order to clearly evaluate the lean implementation efforts. Many attempts have tried to measure supply chain performance incorporating both quantitative and qualitative measures but failed to provide an effective method of measuring improvements in performances for dynamic lean supply chain situations. Therefore, the necessity of appropriate measurement of lean supply chain performance has become imperative. There are many lean tools available for supply chains; however, effectiveness of a lean tool depends on the type of the product and supply chain. One tool may be highly effective for a supply chain involved in high volume products but may not be effective for low volume products. There is currently no systematic methodology available for selecting appropriate lean strategies based on the type of supply chain and market strategy This thesis develops an effective method to measure the performance of supply chain consisting of both quantitative and qualitative metrics and investigates the effects of product types and lean tool selection on the supply chain performance Supply chain performance matrices and the effects of various lean tools over performance metrics mentioned in the SCOR framework have been investigated. A lean supply chain model based on the SCOR metric framework is then developed where non- lean and lean as well as quantitative and qualitative metrics are incorporated in appropriate metrics. The values of appropriate metrics are converted into triangular fuzzy numbers using similarity rules and heuristic methods. Data have been collected from an apparel manufacturing company for multiple supply chain products and then a fuzzy based method is applied to measure the performance improvements in supply chains. Using the fuzzy TOPSIS method, which chooses an optimum alternative to maximise similarities with positive ideal solutions and to minimise similarities with negative ideal solutions, the performances of lean and non- lean supply chain situations for three different apparel products have been evaluated. To address the research questions related to effective performance evaluation method and the effects of lean tools over different types of supply chains; a conceptual framework and two hypotheses are investigated. Empirical results show that implementation of lean tools have significant effects over performance improvements in terms of time, quality and flexibility. Fuzzy TOPSIS based method developed is able to integrate multiple supply chain matrices onto a single performance measure while lean supply chain model incorporates qualitative and quantitative metrics. It can therefore effectively measure the improvements for supply chain after implementing lean tools. It is demonstrated that product types involved in the supply chain and ability to select right lean tools have significant effect on lean supply chain performance. Future study can conduct multiple case studies in different contexts.

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In Chronic Kidney Disease (CKD), management of diet is important in prevention of disease progression and symptom management, however evidence on nutrition prescription is limited. Recent international CKD guidelines and literature was reviewed to address the following question “What is the appropriate nutrition prescription to achieve positive outcomes in adult patients with chronic kidney disease?” Databases included in the search were Medline and CINAHL using EBSCOhost search engine, Embase and the Cochrane Database of Systematic Reviews published from 2000 to 2009. International guidelines pertaining to nutrition prescription in CKD were also reviewed from 2000 to 2013. Three hundred and eleven papers and eight guidelines were reviewed by three reviewers. Evidence was graded as per the National Health and Medical Research Council of Australia criteria. The evidence from thirty six papers was tabulated under the following headings: protein, weight loss, enteral support, vitamin D, sodium, fat, fibre, oral nutrition supplements, nutrition counselling, including protein and phosphate, nutrients in peritoneal dialysis solution and intradialytic parenteral nutrition, and was compared to international guidelines. While more evidence based studies are warranted, the customary nutrition prescription remains satisfactory with the exception of Vitamin D and phosphate. In these two areas, additional research is urgently needed given the potential of adverse outcomes for the CKD patient.

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Population increase and economic developments can lead to construction as well as demolition of infrastructures such as buildings, bridges, roads, etc resulting in used concrete as a primary waste product. Recycling of waste concrete to obtain the recycled concrete aggregates (RCA) for base and/or sub-base materials in road construction is a foremost application to be promoted to gain economical and sustainability benefits. As the mortar, bricks, glass and reclaimed asphalt pavement (RAP) present as constituents in RCA, it exhibits inconsistent properties and performance. In this study, six different types of RCA samples were subjected classification tests such as particle size distribution, plasticity, compaction test, unconfined compressive strength (UCS) and California bearing ratio (CBR) tests. Results were compared with those of the standard road materials used in Queensland, Australia. It was found that material type ‘RM1-100/RM3-0’ and ‘RM1-80/RM3-20’ samples are in the margin of the minimum required specifications of base materials used for high volume unbound granular roads while others are lower than that the minimum requirement.

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Recent studies suggest a high volume of sedentary behavior may be a risk factor for adverse health outcomes.1 However, few data exist on how this behavior is patterned (eg, does most sedentary behavior occur in a few long bouts or in many short bouts?) and whether sedentary patterns are relevant for health. We examined details of sedentary behavior among older women. Because physical activity is influenced by age, body mass index (BMI; calculated as weight in kilograms divided by height in meters squared), and smoking status, we further examined sedentary behavior in relation to these characteristics.