A UCLA-led team has developed a machine-learning model that can predict with a high degree of accuracy the short-term survival of dialysis patients on continuous renal replacement therapy (CRRT). The ...

The poster will highlight the key components of the NEPHRO-CRRT study design, currently enrolling patients in the registrational study. There is an unmet medical need for safe, effective, and ...

Nomogram for predicting continuous renal replacement therapy (CRRT) risk in patients with acute kidney injury following lung transplantation. The model was developed using multivariable logistic ...

The need for continuous renal replacement therapy may be associated with high risk of mortality among adult patients with acetaminophen-induced acute liver failure. Patients with acute liver failure ...