A Real-World Data Observational Analysis of the Impact of Liposomal Amphotericin B on Renal Function Using Machine Learning in Critically Ill Patients

• Main Authors: Ignasi Sacanella (Author), Erika Esteve-Pitarch (Author), Jessica Guevara-Chaux (Author), Julen Berrueta (Author), Alejandro García-Martínez (Author), Josep Gómez (Author), Cecilia Casarino (Author), Florencia Alés (Author), Laura Canadell (Author), Ignacio Martín-Loeches (Author), Santiago Grau (Author), Francisco Javier Candel (Author), María Bodí (Author), Alejandro Rodríguez (Author)
• Format: Book
• Published: MDPI AG, 2024-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: Liposomal amphotericin B (L-AmB) has become the mainstay of treatment for severe invasive fungal infections. However, the potential for renal toxicity must be considered. Aims: To evaluate the incidence of acute kidney injury (AKI) in critically ill patients receiving L-AmB for more than...