View clinical trials related to Urosepsis.
Filter by: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.
Urosepsis is one of major cause of the overall sepsis leading to high morbidity and mortality, which commonly resulted from urinary tract calculi. The investigator aim to identified the incidence and risk factors of urosepsis in the patients with urinary tract calculi underwent surgical intervention in tertiary-care university hospital.
The aim of the study is to establish an infectious risk stratification system based on pre-and post-operative blood endotoxin profile.
To investigate the use of antibiotic prophylaxis in patients undergoing TURP and TURB. The investigators set up a prospective, randomized controlled trial in which (after exclusion of risk factors) patients will be randomized in receiving levofloxacin (Tavanic) orally or no antibiotics. The exclusion criteria for TURP are a pre-operative transurethral catheter or > 100 urinary white blood cells in the pre-operative urine sample. The exclusion criteria for TURB are a pre-op catheter or clinical signs of infection.
The purpose of this study is to compare the risk of serious adverse events associated with the use of sodium-glucose cotransporter 2 (SGLT2) inhibitors in comparison with the use of dipeptidyl peptidase-4 (DPP-4) inhibitors among patients with type 2 diabetes. More specifically, the investigators will assess the risk of severe urinary tract infection (urosepsis), diabetic ketoacidosis and lower extremity amputation. The investigators hypothesize that the use of SGLT2 inhibitors will be associated with an increased risk of serious adverse events in comparison with the use of DPP-4 inhibitors. The investigators will carry out separate population-based cohort studies using health care databases in seven Canadian provinces and the United Kingdom. Separate study cohorts will be created for each of the three safety outcomes. The study cohorts will be defined by the initiation of a SGLT2 inhibitor or a DPP-4 inhibitor after SGLT2 inhibitors entered the market. Patients will be followed up until the occurrence of an adverse event. The results from the separate sites will be combined by meta-analysis to provide an overall assessment of the risk of serious adverse events in users of SGLT2 inhibitors in comparison to users of DPP-4 inhibitors.
The aim of this study is to evaluate the accuracy and implications of the diagnoses and treatment determined by bedside ultrasonography (b-US) of the kidneys compared to current clinical assessment. Potentially diagnosing patients faster and avoiding missing conditions leading to readmission or unnecessary radiation from computed tomography (CT). This study evaluates the use of b-US as a supplement to clinical evaluation, in an unselected group of patients in the emergency department (ED) with signs of kidney involvement. The b-US of the kidneys is performed by a medical student certified in this technique. The evaluation will be based on data collected from a Danish hospital (Odense University Hospital, OUH) in autumn 2018.
Between 2013-2014, our study network of U.S. emergency departments, EMERGEncy ID NET, found that the rate of fluoroquinolone-resistant E. coli was 11.7% among all patients, 6.3% in uncomplicated and 19.9% in complicated. ESBL-producing Enterobacteriaceae were found in 7.7% of all cases, 2.6% in uncomplicated and 12.2% in complicated. More recently, Enterobactericeae and gram-negative non fermenting bacteria have started to show resistance to carbapenems (CREs and CR-NF). Patients hospitalized with UTI and urosepsis represent a higher risk population for infections due to multi-drug resistant bacteria and experience serious adverse outcomes, including death. EMERGEncy ID NET will conduct a study to determine the prevalence of ESBL-producing, CREs and CR-NFs among this high risk population of patients admitted for UTI from U.S. emergency departments.
The study aims to get an insight on the causative bacteria of sepsis derived from the urinary tract. Furthermore, it is the intention to understand the outcomes of these patients. For this purpose a non-interventional, observational study will be conducted.