View clinical trials related to Kidney Calculi.
Filter by:This observational study aims to look at the connections between kidney stones, insulin resistance, and inflammation. The researchers hypothesize that people who form calcium kidney stones and have insulin resistance may have higher levels of inflammation because they have more visceral fat (fat around the abdominal organs). The study will recruit 20 people who have had calcium kidney stones but don't have diabetes, and 20 healthy people who haven't had kidney stones. All the participants will come to the research center at the University of Chicago Medicine. Participants will have a dual-energy X-ray absorptiometry (DEXA) scan to measure their visceral fat, and give blood and urine samples. The blood will be tested for insulin resistance, inflammatory markers, and other metabolic factors. The urine will be analyzed for substances that increase kidney stone risk. The main goal is to see if the kidney stone formers with insulin resistance have more visceral fat compared to those without insulin resistance and the healthy participants. The researchers will also compare inflammatory marker levels between groups, and look at how visceral fat, inflammatory markers, insulin resistance, and urine stone risk factors are related. The findings may help explain how kidney stones are connected to metabolic conditions like diabetes and cardiovascular disease. Researchers hope this information will help identify stone formers at risk early and develop preventive treatments in the future.
Kidney stone disease causes significant morbidity, and stones obstructing the ureter can have serious consequences. Imaging diagnostics with computed tomography (CT) are crucial for diagnosis, treatment selection, and follow-up. Segmentation of CT images can provide objective data on stone burden and signs of obstruction. Artificial intelligence (AI) can automate such segmentation but can also be used for the diagnosis of stone disease and obstruction. In this project, the aim is to investigate if: Manual segmentation of CT scans can provide more accurate information about kidney stone disease compared to conventional interpretation. AI segmentation yields valid results compared to manual segmentation. AI can detect ureteral stones and obstruction or predict spontaneous passage.
Limited literature has focused on the use of totally tubeless mini-percutaneous nephrolithotomy (Mini-PCNL) for the treatment of large renal stones. This Randomized Controlled trial aims to compare complication and safety of Mini-PCNL between total tubeless and tubeless Mini-PCNL.
Detection and classification of different renal and urinary affection in patients with IBD that attended to Assist University Hospitals
The true capacity for a healthy diet to improve urinary stone risk factors is not well-defined. The objective of this study is to measure the effect of adopting a healthy dietary pattern on kidney stone disease (KSD) risk. The working hypothesis is that a Dietary Approaches to Stop Hypertension (DASH)-style diet will improve 24-hour urine stone risk parameters. The approach to testing this hypothesis will be to randomize participants with KSD to a standardized DASH-style vs. Western-style diet for one week. The Bionutrition Unit of the Center for Clinical and Translational Science will provide all meals to participants. The rationale for this study is that by measuring the effect of a DASH-style diet on urinary stone risk parameters, a benchmark for future real-world, implementation studies will be established. Based on available evidence, this will be the first controlled diet study to assess the DASH dietary pattern for improving urinary stone risk parameters.
The aim of this study will be to assess the effectiveness of monitored vit D supplementation in a population of preterm infants and to identify whether the proper vit D supplementation in preterm infants can reduce the incidence of neonatal sepsis and incidence of metabolic bone disease.
Using color doppler U/S, Abdominal U/S and radioisotope to evaluate changes of renal morphology, function and doppler parameters post Percutaneous nephrolithotomy
The goal of this observational study is to developing an image-based artificial intelligence software that can automatically interpret the types and sizes of crystals in urine. The main question[s] it aims to answer are: - Allowing healthcare professionals to input urine images and receive real-time reading results on crystal types and sizes. - This aims to provide a faster, more objective, and accurate analysis of crystals. We anticipate delivering an image AI software suitable for practical applications, promoting the automation and accuracy of urine crystal analysis.
The goal of this non-inferiority randomized controlled trial: is to test the hypothesis that the that there is no additional benefit from a longer course (7 days) versus a shorter course (2 days) of pre-operative antibiotics in patients with moderate to high risk of infection undergoing ureteroscopy. The main questions it aims to answer are: 1. Determine the safety and efficacy of a short course (2 days) as compared to a long course (7 days) 2. Identify secondary predictors of post-operative infectious complications
The aim of the study is to compare the post-operative analgesic effect of USG unilateral External oblique intercostal (EOI) block with Erector spinae plane block (ESPB) for after percutaneous Nephrolithotomy with a hypothesis that both External oblique intercostal fascial plane block and Erector spinae plane block are effective in providing postoperative analgesia.