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

• المؤلفون الرئيسيون: Ignasi Sacanella (مؤلف), Erika Esteve-Pitarch (مؤلف), Jessica Guevara-Chaux (مؤلف), Julen Berrueta (مؤلف), Alejandro García-Martínez (مؤلف), Josep Gómez (مؤلف), Cecilia Casarino (مؤلف), Florencia Alés (مؤلف), Laura Canadell (مؤلف), Ignacio Martín-Loeches (مؤلف), Santiago Grau (مؤلف), Francisco Javier Candel (مؤلف), María Bodí (مؤلف), Alejandro Rodríguez (مؤلف)
• التنسيق: كتاب
• منشور في: MDPI AG, 2024-08-01T00:00:00Z.
• الموضوعات: article
• الوصول للمادة أونلاين: 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...