Active clinical trials for "Acute Kidney Injury"

Acute renal failure (AKI) is defined by a deterioration of kidney function over a short period. This definition was clarified recently in order to allow homogenization and optimal comparison of patients in clinical studies by the classifications RIFLE in 2004, AKIN in 2007 and KDIGO in 2013. These classifications decline several stages of ARI through the increase in the plasma creatinine level and the decrease in urine flow. Even though AKI is a frequent pathology in all hospitalized patients, there are only few studies that are interested in this entity in conventional hospital services except intensive care or intensive care. Indeed, the recent meta-analysis including the 154 studies focusing on the ARI defined by the KDIGO criteria, only 7 have recruited patients in conventional nephrology services. However, patients admitted for an ARI which requires treatment in a medical service probably have epidemiological characteristics and a different prognosis than those requiring treatment in intensive care. In addition, the parameters of the RIFLE, AKIN or KDIGO scores are more difficult to establish in conventional hospital services than in intensive care, especially for hourly monitoring of urine flow, not allowing an optimal classification of the episode of IRA. This study set out to develop a prognostic score for intra-hospital mortality in ARI based on a first historical cohort. The investigators then validated this score on a second prospective cohort obtained over an independent inclusion period and at a distance from the first.

The study is planned to be a single-center study and includes patients who underwent major surgery within Istanbul University Istanbul Faculty of Medicine with an invasive arterial line. Our aim to define the incidence of acute renal injury in our setting and to investigate the risk factors listed in detailed description. After obtaining written informed consent from the patients, preoperative risk factors will be notes. Following standard anesthesia monitoring as well as routine anesthesia induction and maintenance, invasive arterial monitoring will be performed due to the major surgery and hemodynamic values will be recorded throughout the surgery. The primary outcome will be acute renal injury based on KDIGO's (Kidney Disease: Improving Global Outcomes) definition of acute renal damage. Postoperative data regarding this outcome as well as additional data listed in detailed description will be collected.

This prospective observational study evaluates the association of peri-procedural changes in renal regional oxygen saturation and post-procedural acute kidney injury in patients undergoing transcatheter aortic valve implantation.

This is a prospective multi-center observational study which purpose is to evaluate the ability of blood-based inflammatory markers to risk-stratify patients hospitalized for Covid-19. Blood-based biomarkers examined include: soluble urokinase plasminogen activator receptor (suPAR), C-reactive protein (CRP), procalcitonin, D-dimer, ferritin, lactate dehydrogenase and interleukin-6.

Fluid overload is associated with adverse outcomes in patients with severe acute kidney injury. It remains unclear if fluid overload is merely a marker of disease severity or if organ congestion is a mediator of complications. Point-of-care ultrasound could be a modality used to assess organ congestion and its clinical implications. The objective of this study is to determine whether ultrasound markers of organ congestion are associated with major adverse kidney events in critically ill patients with severe acute kidney injury.

Post-operative acute renal failure is a severe post-operative complication and is associated with high mortality. The enhanced prediction score, including pre-as well as intra-operative predictors accurately predicted ARF following hepatic surgery. This prediction score allows early identification of patients at high risk of ARF and may support decision-making for protective kidney treatment.

This study is about investigating the relationship of postoperative fluid balance, inflammation and acute kidney injury. This is a non-interventional study (no drug administration). The investigators will collect baseline demographic data, postoperative fluid balance status by Intake-output data, follow routine labs and collect 1 blood sample (0.5ml) with morning lab draws on day 1 and 5ml urine samples on day 1 and 2.

Few studies analyzed the referral time to nephrologists and its impact on the patient outcome in a large cohort. The investigators described the incidence and determined the outcome with respect to renal function recovery, renal replacement therapy (RRT) requirement and in-hospital mortality of Hospital Acquired Acute Kidney Injury (HA-AKI) without nephrology referral (nrHA-AKI) and late referred HA-AKI patients to nephrologists (lrHA-AKI) compared with early referral patients (erHA-AKI). The patients included were admitted to the tertiary care academic center of Lausanne (Switzerland) between 2004 and 2008, in the medical and surgical services and in the intensive care unit (ICU).

The objective of this study is to determine whether the finger tip images captured by the EPIC ClearView device, when analyzed via the ClearView software, produce a Response Scale that characterizes trends consistent with known diagnoses identified by medical doctors. Specifically, the investigators hypothesize that the organ system involving any of a series of known active diagnoses will be identified in the EPIC ClearView Response Scale report with the intention of providing potential triage capabilities.

Postoperative acute kidney injury (AKI) is still one of the serious complications of thoracic aortic surgery, with incidence of 8 to 50 percent. Postoperative AKI significantly increases the morbidity and mortality of patients undergoing thoracic aortic surgery. Previous studies for AKI after DHCA reported confounding results due to different criteria of AKI. Therefore, the investigators tried to evaluate the incidence and risk factors of AKI after thoracic aortic surgery according to the diagnostic criteria and staging system of AKI reported from acute kidney injury network. The investigators also tried to develop a risk model with scoring system of AKI and evaluate the performance of the risk model.