Renal Replacement Therapy

This is an international, multicenter, observational study aimed at investigating acute kidney injury requiring renal replacement therapy (AKI-RRT) in Latin American countries. The main questions this study aims to answer are: * What is the epidemiology, outcomes, and processes of care for patients with AKI-RRT in Latin America? * How do outcomes differ across different countries in Latin America? * What factors (demographics, clinical, socioeconomic) influence outcomes in patients with AKI-RRT in Latin America? The main aims of this study are to: * Establish a comprehensive database containing clinical, laboratory, treatment, process, and outcome data of patients with AKI-RRT in Latin America * Describe current epidemiology of AKI-RRT in Latin America * Compare processes of care and outcomes across different countries in Latin America * Provide data resources to facilitate and promote clinical research in AKI-RRT

Extracorporeal membrane oxygenation (ECMO) is an extra-corporeal assistance used in case of respiratory or circulatory failure. In case of circulatory failure, ECMO is in the veno-arterial configuration (VA-ECMO). VA-ECMO patients are at high risk of developing acute kidney injury (AKI) and renal replacement therapy (RRT) may be needed in 50% of ECMO patients. Although the administration of RRT in ECMO patients has major implications, no specific recommendations are currently available. The 2020 Kidney Disease: Improving Global Outcomes (KDIGO) international conference identified the evaluation of RRT in these ECMO patients as a research priority. In 2023, the two main configurations used to administer RRT in ECMO patients are an independent delivery on a separate vascular access (parallel connection) or an integration of the RRT machine directly into the ECMO circuit (integrated connection). The integrated connection may reduce infectious and bleeding complications associated with the use of a second vascular access. However, it can expose the hemofilter and circuit to excessive positive pressures that can trigger pressure alarms in the RRT machine and expose the patient to a theoretical risk of air embolism or hemolysis. Furthermore, there is currently no robust data comparing the hemofilter lifespan with the parallel or with the integrated connection, although the filter lifespan is a crucial parameter to assess the quality of the RRT delivery in the ICU. The investigators recently performed a survey of practices in this context of ECMO patients. The investigators found that both strategies (parallel and integrated connection) are widely used and can be seen as common patient care. The hypothesis tested in this study is the following: when RRT is integrated to the ECMO circuit, the hemofilter lifespan is non inferior to the one when RRT is delivered on a separate vascular access. Only VA-ECMO patients will be enrolled in this trial.

The Analgesia Nociception Index (ANI) reflects the balance between sympathetic and parasympathetic tone. It is based on a specific interpretation of the R-R interval variation. During fluid removal by net ultrafiltration in patients with fluid overload and continuous renal replacement therapy, some data suggest that haemodynamic variation could be induced by the autonomic nervous system. The study aims to investigate ANI variations in this context and their association with the haemodynamic variations observed.

SMART DIALYSIS - Scaling Machine Learning and Artificial Intelligence AlgoRithms to OpTimize the Performance and Delivery of Acute DIALYSIS. Hypothesis: Can the investigators develop and implement Machine Learning and Artificial Intelligence Algorithms into Clinical Information Systems to Optimize the Prescription, Delivery, and Performance of Acute Dialysis? Objective(s): 1. Identify variables surrounding identified Key Performance Indicators that may be used by Machine Learning and Artificial Intelligence algorithms to optimize the prescription and performance of acute dialysis. 2. Develop Machine Learning and Artificial Intelligence algorithms to help guide the prescription and delivery of acute dialysis in the development of Clinical Decision Support tools and Best Practice Advisories and create a ML/AI Augmented SMART DIALYSIS Digital Dashboard. 3. Implement and evaluate the performance of the developed Machine Learning and Artificial Intelligence algorithms on patient-centered and health economic outcomes. 4. Validate and benchmark the performance of the evaluated Machine Learning and Artificial Intelligence algorithms across multiple jurisdictions.

Intermittent hemodialysis/diafiltration is a current renal replacement therapy (RRT) institued for ICU patients with AKI. For a better clinical tolerance, iinternational guidelines advise to use cold dialysate, increase duration session, decrease blood and dialysate flows, and increase level of sodium dialysate concentration (≥ 145mmol/l). Indeed, the use of a Na concentration dialysate \> 145 mmol/l improves intradialytic hemodynamic tolerance but it may also induce fluid overload by the transfert of sodium from the dialysate compartment to the blood. Yet, fluid overload has been strongly associated with mortality in critically ills. The investigators hypothesized that the use of a level in sodium dialysate at 140 mmol/l with slow low efficiency daily dialysis-filtration (SLEDD-f) will permit a fair intradialytic hemodynamic tolerance without the adverse effect of intradiaclytic Na loading from the dialysate. Two randomized groups of ICU AKI patients treated by SLEDD-f will be compared in terms of intradialytic hemodynamic tolerance and overload accordong to 140 or 145 mmol/l of Na in the dialysate

Study objectives: To determine whether, in critically ill patients with Acute Kidney Injury requiring renal replacement therapy (AKI-RRT), randomization to receive intravenous hyperoncotic albumin 20-25% (100 mL X two doses) compared to control/placebo normal saline boluses (100 mL X two doses) given during RRT sessions, leads to: 1. An increase in organ support-free days (primary outcome) at 28 days following randomization; and 2. An increase in RRT-free days (principal secondary outcome) at 28 days following randomization.

"Huede" AI Aided AKI Prediction Software, Acura AKI, uses machine learning algorithms to predict the risk of AKI within the next 24 hours and provide a ranking of feature importance. By using Acura AKI, physicians can assess the risk of AKI, focusing on high-risk patients to provide care decisions. This study will be conducted in a prospective randomized clinical trial in adult ICUs, implementing the Acura AKI system for predicting AKI. The study aims to determine whether early prediction and intervention using the Acura AKI system can improve the outcomes of critically ill patients with adverse kidney conditions. The study endpoint is to evaluate the cost-effectiveness of using Acura AKI, including the incidence of AKI, dialysis rates, mortality rates, length of hospital stay, and treatment costs.

Sepsis is one of the main causes of mortality and morbidity in an ICU setting, while the responsible microorganisms most frequently isolated are multidrug-resistant gram-negative bacteria. Aminoglycoseides (AG) seem to be particularly effective in dealing with these microbes, however their potential toxicity, especially nephrotoxicity, often makes them an unsuitable treatment option. This becomes particularly evident in patients with already impaired renal function, a common occurrence in septic patients requiring ICU treatment. AG are bacteriocidal antibiotics the efficiency of which depends on the maximum concentration in patients' serum (Cpeak). Pathophysiological changes in critically ill patients, result in significant distribution of the drug extravascullary resulting in a decreased concentration of the biologically active component. On the other hand, impaired renal clearance results in high serum drug levels (C trough) making the desired once-daily administration not always achieved. The purpose of this study is to test the hypothesis of successful clearance of AG after achieving satisfactory serum levels and therefore their maximum effect minimizing potential toxicity, by using continuous veno-venous haemodiafiltration in patients with sepsis or septic shock and impaired renal function. This way, the aforementioned antibiotics could become a more frequent and potentially earlier choice for physicians in the treatment of sepsis and septic shock patients from multidrug-resistant microbes.

The study is aiming to describe the pharmacokinetic and pharmacodynamic profile of intravenous meropenem, ertapenem, cefepime, colistin, Ceftazidime/Avibactam , Ceftolozane/Tazobactam , and piperacillin/tazobactam in the plasma and determine how much is removed by Renal Replacement Therapies to ensure adequate dosing