View clinical trials related to Acute Kidney Injury.
Filter by:Acute kidney failure remains one of the most challenging entities to diagnose in clinical medicine, especially in the field of intensive care. The diagnosis of acute kidney injury is based solely on urine output and serum creatinine, both of which could also be influenced by other factors. A more sensitive and faster diagnostic option would not only be desirable but of utmost clinical importance. Therefore, the investigators aim to identify Neuronal Guidance Proteins (NGPs) as potential biomarkers for the identification and early detection of AKI with this investigation. This investigation aims to identify the possibility of diagnosing acute kidney injury, the subsequent validation of a potential biomarker will then have to take place in a multicenter study approach: Data in preclinical mouse models suggest that SEMA7A as one of the NGPs could be valuable as a biomarker, the study now aims to attempt a preliminary survey in humans and measure various NGPs.
Current evidence shows that computerized decision support systems (CDSS) have shown to be insufficiently effective to prevent adverse drug reactions (ADRs) at large scale (e.g. whole hospital). Several barriers for successful implementation of CDSS have been identified: over-alerting, lack of specificity of rules, and physician interruption during prescription. The effectiveness of CDSS could be increased in two ways. Firstly, by creating rules that are more specific to a given adverse drug reaction: the current study focuses on acute renal failure and hyperkalemia (two serious and frequent ADR in older hospitalized patients). Secondly, by involving the pharmacist in the review of the alerts so that he/she can transmit, if deemed necessary, a pharmaceutical recommendation to the clinician. This procedure will reduce over-alerting and prevent task interruption. The hypothesis is that the use of specific rules created by a multidisciplinary team and implemented in a CDSS, combined with a strategy for managing and transmitting alerts, can reduce specific ADRs such as hyperkalemia and acute renal failure.
The aim of this study is to evaluate the safety of ultra-low contrast coronary angiography in patients with pre-existing acute kidney injury.
Detection the relationship between preoperative ionized magnesium levels and the risk of acute kidney injury after cardiac surgery.
Ovarian cancer is the most lethal malignancy of the female genital tract. Cytoreductive surgery combined with chemotherapy is the primary treatment for ovarian cancer, and radical tumor resection is an important means to improve the prognosis. However, even after complete tumor resection, 75% of patients with ovarian cancer still recur within 3 years after the initial treatment and eventually die from recurrence. In ovarian cancer, the lesions are located primarily in the peritoneal cavity. High-grade evidence demonstrates that the use of intraperitoneal hyperthermic chemotherapy (HIPEC) with cisplatin after cytoreductive surgery significantly improves the outcome in some patients with ovarian cancer. Currently, this is the only non-pharmacologic treatment that reduces both the risk of recurrence and death from ovarian cancer with a multi treatment. However, HIPEC with cisplatin can lead to acute kidney injury, and a serious complication that can seriously affect the short and long-term prognosis of patients. Sodium thiosulfate has previously been reported to reduce the incidence of acute kidney injury after HIPEC with cisplatin, but this finding has not been confirmed in a high-level study. Therefore, we propose a multi-center, prospective, open-label, randomized, controlled trial including 110 patients with ovarian cancer who received HIPEC with cisplatin, to evaluate whether sodium thiosulfate combined with hydration (55 patients in the trial group) can reduce the incidence of acute kidney injury after HIPEC with cisplatin compared with hydration alone (55 patients in the control group), and to provide high-level evidence for the rationale of using sodium thiosulfate for nephrotoxicity relief in cisplatin HIPEC.
Diabetic ketoacidosis (DKA), a severe complication of diabetes mellitus (DM), is the leading cause of hospitalization, morbidity and mortality in patients with DM (1). DKA is associated with hyperglycemic crises and featured by metabolic acidosis, the production of ketoacids, volume depletion, and electrolyte imbalance. Due to glucose-induced osmotic polyuria and even emesis, volume depletion is a major cause of acute kidney injury (AKI) in DKA patients (2).
The goal of this clinical trial is to learn about in postoperative acute kidney injury in cardiac surgery. The main questions it aims to answer are: 1. Controlled low central venous pressure (CLCVP) technique can reduce the occurrence of cardiac surgery-associated acute kidney injury (CSA-AKI) by reducing venous congestion and increasing renal perfusion pressure. 2. CLCVP technique does not increase the risk of postoperative cognitive dysfunction (POCD) during cardiac surgery. Participants who are assigned to the intervention group will receive CLCVP technique. Specific methods are as follows: First,20min after the end of cardiopulmonary bypass, on the basis of ensuring that the mean arterial pressure (MAP) ≥ 60mmHg, the patients will accept dorsal elevated position. After that, if the patient's central venous pressure (CVP) is less than 10mmHg, nitroglycerin will be pumped at 0.2ug/ (kg * min). If the patient's CVP is still greater than or equal 10mmHg, we increase the dose by 0.2ug/ (kg * min) and pump again for 5min, and the like. Until the patient's CVP is less than 10mmHg or the dose of nitroglycerin increases to 1ug/ (kg * min), the current dose is maintained until the end of surgery. If participants are assigned to the control group, no intervention measures will be taken. The researchers will compare the intervention group with the control group to see the occurrence of CSA-AKI and POCD after cardiac surgery.
This observational retrospective study aims to learn about the incidence of acute kidney (AKI) injury in newborns in infants exposed to nephrotoxic drugs with a big data approach. The main question it aims to answer are: - Develop a model that can predict the occurrence of AKI in infants admitted to the NICU; - Identify the drug or combination of drugs associated with an increased risk of AKI. The group of infants exposed to drugs will be defined based on exposure for at least 1-day tone one or more therapies commonly used in the NICU. Once the AKI event has occurred, the observation of the trend of daily creatinine and diuresis values will be continued for the period covered by the study.
Complications after lung transplantation are almost ubiquitous, among which postoperative acute renal failure may represent more than 50% of lung transplant patients and require extrarenal purification in 5 to 13% of cases. Multiple factors are associated with postoperative acute renal failure. These factors can be classified into preoperative, intraoperative, and postoperative factors. While some postoperative complications are explained by donor and recipient factors, the literature suggests that certain intraoperative events represent modifiable or avoidable risk factors that could be targeted by therapeutic interventions to reduce the risk of postoperative acute renal failure. Some of these factors (intraoperative hemodynamic instability, significant bleeding or hypoxemia) can generate renal hypoxic aggression, alone or in combination. However, to date, there is no validated tool available at the patient's bedside during surgery to detect renal hypoxia or guide interventions to restore renal perfusion during surgery. Yet, as recent recommendations suggest, intraoperative renal protection is an important axis for improving the outcome of lung transplant patients, to the extent that the recommendations of Marczin et al. recommend the establishment of a renal prevention protocol for each patient. Without a tool to guide this plan intraoperatively, anesthesia teams can't establish a renal prevention protocol. This research aims to establish whether renal NIRS is a reliable tool for monitoring intraoperative renal hypoxic aggression predictive of postoperative renal failure. Near-infrared spectroscopy (NIRS) is an optical technology that allows non-invasive measurement of tissue oxygen saturation. This technique is commonly used for intraoperative monitoring of cerebral perfusion in adults and children. Some studies have shown that regional renal oxygen saturation (renal rSO2) measured by NIRS during aortic-coronary bypass surgery under extracorporeal circulation (ECC) is correlated with renal venous oxygen saturation measured by catheterization. It is also associated with the risk of postoperative acute renal failure in patients undergoing cardiac surgery under ECC. However, there are no equivalent data in lung transplant patients, who frequently present with postoperative acute renal failure. In the available literature, no clear threshold of renal desaturation has been established. Because it is assumed that the depth of renal desaturation can be particularly deleterious, in addition to desaturation time, the investigator have chosen to retain in this project the integral of time and magnitude spent under a renal desaturation threshold, aggregated into a renal hypoxia index, during the intraoperative period. The primary objective of this research is to demonstrate the usefulness of measuring the intraoperative renal hypoxia index in predicting the risk of early postoperative acute renal failure
Nearly one in ten people who are hospitalized in Canada develop a complication with sudden loss of kidney function, called acute kidney injury (AKI). AKI may lead to other severe health problems after discharge home, such as kidney failure requiring dialysis treatment, heart failure, heart attacks, stroke, and even premature death. Discharge from hospital to home can be a difficult transition where there are often gaps in identification, communication, care coordination, education, and planning of care for AKI. The study team will co-design and evaluate a tailored post-discharge care plan that is based on the risk of later kidney problems and uses currently available, yet untapped digital innovation to improve the health and experience of people with AKI. This study will be built into Alberta's new provincial electronic health record (EHR). The plan is to use digital tools in the EHR to identify all people in Alberta hospitals that have had an AKI event and are at increased risk of long-term complications. Half will randomly be assigned to receive a tailored care plan based on their risk at hospital discharge while the other half will receive care as it is currently provided by their healthcare team. The electronic health system will automatically calculate a patient's risk and report this risk in their chart along with recommendations for care. The study team includes patients, healthcare providers, and health system decision makers needed to co-develop the proposed strategy and introduce the changes needed to deliver this intervention. The investigators will study whether this strategy can reduce health problems that may happen after AKI including death, need for dialysis, heart attacks, and stroke. The investigators will also determine if the approach improves patient experience during the transition from hospital to home. This study has the potential to revolutionize how we care for people that leave hospital after having AKI.