Active clinical trials for "Acute Kidney Injury"

The Strength study aim to evaluate the use of the RenalGuard device to protect the patients at high risk to develop acute kidney injury following a complex cardiovascular intervention requiring a high volume of contrast.

The evaluation of an accurate occurrence rate for AKI is of great importance for health policy, quality initiatives as well as for designing clinical trials. The primary objective is to prospectively evaluate the incidence of AKI within 72 h after extended surgical procedures that require admission to an observation unit.

The purpose of this study is to better understand if transesophageal echocardiography during cardiac surgery can predict problems with kidney function after cardiac surgery.

Currently, contrast-induced kidney injury cannot be diagnosed on the day of cardiac catheterization. Recently, proenkephalin (penKid) was introduced as a new glomerular filtration marker. The aim of this study is to investigate whether the change in penKid level allows for early detection of affected patients.

Acute kidney injury is a complex clinical syndrome,associated with high short and long- term morbidity and mortality in critical ill patients.Acute kidney injury outcomes may vary from a complete resolution to a partial or incomplete recovery of renal function leading to increased mortality,prolonged hospitalization and risk of chronic comorbidities . The precise mechanism of acute kidney injury to chronic kidney disease transition is complex and not completely understood,especially in humans .Acute kidney injury outcomes depend upon the balance of adaptive and maladaptive repair.

Aim of the present study is to compare the response to furosemide stress test in term of diuresis and electrolytes and of the renal index in mechanically ventilated patients at admission and after 3 days in patients with and without the presence of AKI

Severe Acute respiratory syndrome coronovirus (SARS-CoV-2) was first described in Wuhan in December 2019. It quickly spread to rest of the world and was declared pandemic by World health organisation. Initial case series focused on lung involvement in the form alveolar haemorrhages and respiratory failure. However, subsequently, there have been reports of kidney involvement resulting in severe acute kidney injury. However, the reported incidence from Chinese data has been less than 5% and detailed epidemiology of AKI in COVID-19 disease is lacking.

Acute kidney injury (AKI) is classically described as an abrupt or rapidly reversible reduction in the excretion of nitrogenous waste products, including urea, nitrogen and creatinine. Acute kidney injury definition emphasizes on the filtration function of the kidney, a measure that is unique and easily and routinely measured . Acute kidney injury is associated with significantly increased resource utilization and health care costs. 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 non cardiac surgery is between 3% and 6%.

Since the outbreak of coronavirus disease 2019 (COVID-19), more than 100,000 patients have died in the United Kingdom. Acute kidney injury is common in critically ill patients with COVID-19. It is associated with a high risk of dying. At present, it is not clear how to prevent or treat kidney failure in these patients. Recent research has shown that the coronavirus can directly infect kidney issue. It uses a particular protein on the cell surface (the ACE2 receptor) for entry into cells. Entry into cells is easier if the blood is more acidic. The aim of this project is to find out whether urinary alkalisation using intravenous bicarbonate is feasible and can reduce the risk of acute kidney injury in critically ill patients with COVID-19.

Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication which may result in adverse impact on short- and long-term mortality. The investigatorshere developed several prediction models based on machine learning technique to allow early identification of patients who at the high risk of unfavorable kidney outcomes. The retrospective study comprised 2108 consecutive patients who underwent cardiac surgery from January 2017 to December 2020.