Active clinical trials for "Acute Kidney Injury"

The purposes of this study is 1. To establish the validity of CEUS to measure renal perfusion by comparing it against ASL-MRI in young and older healthy volunteers, and generate a normative dataset of CEUS measures of renal perfusion. 2. Establish proof of principle for the use of CEUS to measure renal perfusion in the acute phase of AKI, demonstrating its feasibility and potential clinical utility. We will do this by performing daily CEUS measurements for up to five days in a cohort of people with AKI stage 3, commencing as close to onset. of AKI as possible, correlating with clinical data and following outcomes until 90 days.

This is a prospective observational single-center study in which the association of Protein-Energy Adequacy and 28-Days of Mortality among critically ill patients with Acute Kidney Injury, AKI will be investigated. The association of Protein-Energy adequacy with a length of ICU and hospital stay, total ventilator, and inotropic drug days among critically ill patients with AKI also will be investigated.

Acute kidney injury is one of the most common postoperative complications of acute type A aortic dissection, which is closely related to early postoperative death. Early prevention, early diagnosis and early treatment are the key to improve the prognosis of such patients. It has been a hot topic in clinical research for a long time. Previous reports revealed a series of risk factors for acute kidney injury after aortic dissection, but limited by research design and single modal data, high quality studies were rare. The purpose of this study is to further clarify the risk factors by studying the relationship between preoperative CT renal perfusion imaging indexes and postoperative acute kidney injury; establish and externally verify the multimodal radiomics prediction model for acute kidney injury after operation of aortic dissection combining with preoperative CT renal perfusion imaging and CT angiography information by analysis methods of information fusion, feature engineering and radiomics, so as to guide the follow-up clinical practice, improve the prognosis of such patients and save medical resources.

The novel coronavirus SARS-CoV-2 was identified as the causative agent for a series of atypical respiratory diseases in Wuhan, China in December of 2019(.1) The disease termed COVID-19, was officially declared a pandemic by the World Health Organization on March 11, 2020. SARS-CoV-2 contains a single-stranded, positive-sense RNA genome surrounded by an extracellular membrane containing a series of spike glycoproteins resembling a crown.COVID-19 infection results in diverse symptoms and morbidity depending on individual genetics, ethnicity, age, and geographic location. In severe cases, COVID-19 pathophysiology includes destruction of lung epithelial cells, thrombosis, hypercoagulation, and vascular leak leading to sepsis.(2) COVID-19 risk factors include cardiovascular disease, hypertension, and diabetes.(2)

The occurrence of renal failure during severe forms of COVID-19 is common (20-35% of patients treated in intensive care) and associated with an unfavorable short-term prognosis, but the medium-term renal outcome is not is not known. The aim of the study is to establish the frequency of chronic kidney failure after AKI KDIGO 2 and 3 occurring during severe COVID-19 in intensive care.

Liver transplantation is associated with a modification of the perfusion pressures of the abdominal organs (preoperative portal hypertension in connection with liver pathology, and normalization of the perfusion pressures during surgery). This abrupt change in the infusion regime is probably responsible for an alteration in renal function in some patients, and the identification of renal vascular profiles using Doppler could point to pathological profiles, which should be diagnosed early.

A partial nephrectomy (PN) preserves renal parenchyma with a proper oncology outcome. PN is performed during transitory ischemia to avoid massive bleeding during tumor resection. Nevertheless, the transitory ischemia might cause an acute kidney injury(AKI). AKI diagnose is based on the increase in plasma creatinine concentration and a decrease in urine output. However, both plasma creatinine concentration and diuresis are useful for the diagnose, but not in the detection of the risk patients. Therefore, there is considerable interest to find a biomarkers of kidney injury that allow clinicians to predict the development of AKI. Hence, we propose Fibroblastic Growth Factor-23 (FGF23) as a novel early biomarker to detect patients in risk to develop postoperative AKI after a PN. We will conduct an observational and prospective study in three different groups of patients: PN gropup, patients who underwent PN with a transient and controlled renal ischemia injury using a renal artery clamping; Hemicolectomy (HC) group, patients as non-renal ischemia surgery controls, with similar demographic characteristics, but submitted to HC; and Nephrolithotomy (NL) group, patients who underwent NL, as a control of kidney surgery with physical injury. In each patient, a time curve of plasmatic creatinine, blood urea nitrogen (BUN), and FGF23 were measure. Our study aims to describe the role of FGF23 as an early biomarker of AKI after PN, where patients are exposed to a controlled ischemic injury.

The main objective of this study is to develop and validate an artificial intelligence model that predicts postoperative acute kidney injury.

The aim is to describe the epidemiology and determine the independent risk factors for mortality and acute organ injury in AKI and to assess the impact of different treatment strategies on survival. This will allow the development of prevention strategies and design of appropriately powered intervention studies.

Acute kidney injury (AKI) affects approximately 20% of hospitalized patients and up to 67% of those admitted to an intensive care unit (ICU), making it among the most common organ dysfunctions among the critically ill.Major adverse cardiac events (MACE) after non cardiac surgery are a leading cause of morbidity and mortality. The reported incidence of postoperative myocardial infarction (POMI) among patients undergoing noncardiac surgery is between 3% and 6%.The aim of this study is to Identify the impact of acute kidney injury on the development of myocardial injury after non cardiac surgery and to correlate it with other risk factors of for MINS.