Autor segons l'article: Sacanella, Ignasi; Esteve-Pitarch, Erika; Guevara-Chaux, Jessica; Berrueta, Julen; Garcia-Martinez, Alejandro; Gomez, Josep; Casarino, Cecilia; Ales, Florencia; Canadell, Laura; Martin-Loeches, Ignacio; Grau, Santiago; Candel, Francisco Javier; Bodi, Maria; Rodriguez, Alejandro
Departament: Medicina i Cirurgia
Autor/s de la URV: Bodi Saera, Maria Amparo / Gómez Alvarez, Josep / Rodríguez Oviedo, Alejandro Hugo
Paraules clau: Therap Scedosporium-prolificans Random forest Random fores Machine learning Liposomal amphotericin b Lipid complex Infection Critical care Antifungal agents Acute kidney injury
Resum: 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 48 h. Methods: Retrospective, observational, single-center study. Clinical, demographic and laboratory variables were obtained automatically from the electronic medical record. AKI incidence was analyzed in the entire population and in patients with a "low" or "high" risk of AKI based on their creatinine levels at the outset of the study. Factors associated with the development of AKI were studied using random forest models. Results: Finally, 67 patients with a median age of 61 (53-71) years, 67% male, a median SOFA of 4 (3-6.5) and a crude mortality of 34.3% were included. No variations in serum creatinine were observed during the observation period, except for a decrease in the high-risk subgroup. A total of 26.8% (total population), 25% (low risk) and 13% (high risk) of patients developed AKI. Norepinephrine, the SOFA score, furosemide (general model), potassium, C-reactive protein and procalcitonin (low-risk subgroup) were the variables identified by the random forest models as important contributing factors to the development of AKI other than L-AmB administration. Conclusions: The development of AKI is multifactorial and the administration of L-AmB appears to be safe in this group of patients.
Àrees temàtiques: Pharmacology, toxicology and pharmaceutics (miscellaneous) Pharmacology, toxicology and pharmaceutics (all) Pharmacology (medical) Pharmacology & pharmacy Microbiology (medical) Microbiology Infectious diseases General pharmacology, toxicology and pharmaceutics Engenharias ii Biochemistry
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: josep.gomez@urv.cat alejandrohugo.rodriguez@urv.cat mariaamparo.bodi@urv.cat mariaamparo.bodi@urv.cat
Identificador de l'autor: 0000-0002-0573-7621 0000-0001-8828-5984 0000-0001-7652-8379 0000-0001-7652-8379
Data d'alta del registre: 2025-03-22
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Referència a l'article segons font original: Antibiotics. 13 (8): 760-
Referència de l'ítem segons les normes APA: Sacanella, Ignasi; Esteve-Pitarch, Erika; Guevara-Chaux, Jessica; Berrueta, Julen; Garcia-Martinez, Alejandro; Gomez, Josep; Casarino, Cecilia; Ales, (2024). A Real-World Data Observational Analysis of the Impact of Liposomal Amphotericin B on Renal Function Using Machine Learning in Critically Ill Patients. Antibiotics, 13(8), 760-. DOI: 10.3390/antibiotics13080760
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2024
Tipus de publicació: Journal Publications