Active clinical trials for "Kidney Diseases"

The goal of this observational study is to compare hemodialysis and peritoneal dialysis patients. The main questions it mains to answer are: What is the level of physical activity in hemodialysis and peritoneal dialysis patients? What is the level of quality of life of hemodialysis and peritoneal dialysis patients? Is there any relation between inactivity and quality of life in hemodialysis and peritoneal dialysis patients? Participants will answer 2 questionnaires and will do some functional tests.

Studies examining musculoskeletal strength, respiratory function and muscle strength, physical activity level and exercise capacity in children with CKD and evaluating the relationships between these parameters have not been found both in the world and in our country. In this study, it is aimed to evaluate skeletal and respiratory muscle strength, respiratory parameters and exercise capacity in children with CKD primarily and compare them with healthy children. Secondly, it is to examine the relationship between endothelial function, arterial stiffness, sarcopenia and physical activity in children with CKD. It is thought that the results to be obtained with the study will support the literature with the prediction that rehabilitation programs for patients in all stages of CKD will be structured and in this way will contribute positively to the management and prognosis of the disease. Hypotheses H0: There is no difference between children with chronic kidney disease and healthy children in terms of skeletal and respiratory muscle strength, respiratory parameters and exercise capacity. H1: There is a difference between children with chronic kidney disease and healthy children in terms of skeletal and respiratory muscle strength, parameters and exercise capacity. H0: There is no relationship between endothelial function, arterial stiffness, sarcopenia and physical activity in children with chronic kidney disease. H1: There is a relationship between endothelial function, arterial stiffness, sarcopenia and physical activity in children with chronic kidney disease.

Iron deficiency anemia is very common in CKD patients. Data about gastrointestinal lesions in Arab patients are insufficient.

The purpose of this Delphi study is to identify priority outcomes for self-management in earlier (non-dialysis) stages of CKD from the perspectives of different stakeholder groups in the UK. The findings of this study will be used to inform outcome measure selection for research and clinical evaluations of self-management resources and to support implementation, commissioning and uptake.

Cardiac troponin is the preferred biomarker for the diagnosis of acute myocardial infarction. Whereas the diagnosis is based on an increase and/or decrease in the concentrations of cardiac troponins with at least one value above the 99th percentile value of the reference population together with the evidence of ischemia, serial sampling is needed. Knowledge of the variation in cardiac troponin levels over time in individuals in a normal rest state (not during an acute myocardial infarction), also called the biological variation, is important regarding the interpretation of the serial cardiac troponin levels. A recent study by our group showed a circadian rhythm in cardiac troponin levels. This circadian rhythm is important regarding the interpretation of the serial cardiac troponin levels. Increased cTnI and cTnT concentrations are common in subjects with renal impairment. The mechanism of the elevated concentration of cTn in these subjects is still unclear. It is hypothesized that impaired renal clearance contributes to elevated levels of cTn. However, it is not clear whether renal function affects the biological variation and circadian rhythm of cTn. The monitoring of the biological variation and circadian rhythm of cTn in subjects with impaired renal function creates the opportunity to assess the effect of renal clearance on the circadian rhythm of cardiac troponins.

Renal outcome could be different after switching tenofovir to different antiretroviral strategies, in case of renal toxicity. Therefore, it is necessary to evaluate the importance of renal evolution in these patients, in terms of grade and time to renal improvement, according to the different options after interrupting tenofovir. The aim of this study was to explore the renal outcome after tenofovir according to new antiretroviral regimen.

While the duration of renal transplant function has increased over the last decade kidney transplanted patients (KTP) still exhibit a fracture risk 4 times higher than in the general population. Fracture risk remains increased despite the improvement of immunosuppressive therapies (IST) that allowed the reduction of steroid administration. Potential explanations for this could be 1) that Chronic Kidney Disease (CKD) induces renal osteodystrophy that occurs before kidney transplanted, impairs bone metabolism and promotes bone fragility ; 2) that kidney transplanted patients are older and older (14% of kidney transplanted patients were older than 70 in 2011 in France), ageing being a major risk factor for fractures 3) IST, besides steroid, may have deleterious effects on bone and 4) that secondary hyperparathyroidism, a risk factor of fractures, persists after kidney transplanted . Thus, the pathophysiology and epidemiology of bone fragility of kidney transplanted patient remains insufficiently characterized. Despite these data, and contrarily to what is done for patients candidates for cardiac transplantation, there is no general consensus for performing bone evaluation before kidney transplanted . Thus it's necessary to individualize the management of bone fragility and prevent fractures according to strategies that remain to be defined, provided that patients at risk are better detected.

Session-to-session variations in delivered Kt/V that may cause failure to achieve the prescribed dialysis dose may be significant in regular clinical practice. To date, this is not recognized due to monthly blood Kt/V measurements only. Suboptimal delivery of prescribed dialysis dose may be caused by low effective treatment time, vascular access dysfunction, hemodynamic stability, blood pump speed, membrane influences, lab value variability or others which may vary from session to session. Patients close to recommended target limits of dialysis dose may thus be "randomly" attributed to be adequately or inadequately dialyzed. Therefore, in the literature, use of average Kt/V values is recommended. Adimea allows easy Kt/V determination in every session and thus documentation of the monthly achieved Kt/V in patients who repeatedly miss Kt/V. Knowledge, therefore, of session-to-session variability as well as knowledge of dialysis dose monitoring at every dialysis may enhance and secure delivery of adequate dialysis. The main objective is the estimation of the pooled within-patient SDs (standard deviation) for single treatment Adimea and of urea kinetic modeling (UKM)/ blood spKt/V. Failure of Kt/V>1.2 delivery as well as its potential causes will be assessed. spKt/V target achievement is assessed by monitoring dose by Adimea at every dialysis. This shall demonstrate that session-to-session variability can be decreased with usage of Adimea.

As the effect of statin use before the angiography to prevent contrast induced nephropathy (CIN) is not well-known, the aim of the current study is to assess the effect of atorvastatin on prevention of CIN in patients undergoing coronary angiography.

Helping relationships from significant others may assist patients with chronic kidney diseases to exercise health behaviors. Patients will adhere on the suggestions from medical staff and perform health lifestyle to maintain healthy behavior. The progress of the disease may be delayed. The research is a 3-year study to explore the influence of helping relationships on healthy behaviors among patients with chronic kidney disease. Building on the findings from the past three years study and the literature on trans-theoretical Model, helping relationships will be articulated. A helping relation intervention will be applied to evaluate its effect on healthy lifestyle and quality of life. The first year study will be a survey design. An instrument to measure the helping relationship will be established and tested. Total of 200 participants will be recruited to test the reliability and validity of the instrument. After evaluating the psychometric properties of the instrument, items may be revised according to the results. The second year of research will be a cross-section study. Of 250 subjects will be recruited to explore the correlations between helping relationships, healthy life styles, and quality of life. Data will be analyzed using hierarchical linear regression. In the third year, an experimental design will be applied to test the effect of a helping relationship intervention. One hundred and twenty subjects will be recruited and randomly assigned to the experimental and the control group for 60 subjects in each group. The helping relationships intervention program will be implemented on the experimental group. And the control group will be provided with routine nursing care. Data will be collected at baseline, the sixth and the ninth month of the third year of study. Data will be analyzed using generalized estimating equation measures to evaluate the effect of the intervention program.