Autor según el artículo: Gudiol C, Albasanz-Puig A, Laporte-Amargós J, Pallarès N, Mussetti A, Ruiz-Camps I, Puerta-Alcalde P, Abdala E, Oltolini C, Akova M, Montejo M, Mikulska M, Martín-Dávila P, Herrera F, Gasch O, Drgona L, Paz Morales H, Brunel AS, García E, Isler B, Kern WV, Morales I, Maestro-de la Calle G, Montero M, Kanj SS, Sipahi OR, Calik S, Márquez-Gómez I, Marin JI, Gomes MZR, Hemmatti P, Araos R, Peghin M, Del Pozo JL, Yáñez L, Tilley R, Manzur A, Novo A, Carratalà J, IRONIC Study Group

Departamento: Ciències Mèdiques Bàsiques

Autor/es de la URV: TEBÉ CORDOMÍ, CRISTIAN

Palabras clave: Bacteremia Bloodstream Infection Cancer multidrug resistant Neutropenia Predictive Model Pseudomonas Aeruginosa Risk Factors

Resumen: Background: We aimed to assess the rate and predictive factors of bloodstream infection (BSI) due to multidrug-resistant (MDR) Pseudomonas aeruginosa (PA) in neutropenic cancer patients.Methods: We performed a multicenter, retrospective cohort study including onco-hematological neutropenic patients with BSI due to PA conducted across 34 centers in 12 countries from January 2006 to May 2018. A mixed logistic regression model was used to estimate a model to predict multidrug resistance of the causative pathogens.Results: Of a total of 1217 episodes of BSI due to PA, 309 episodes (25.4%) were caused by MDR strains. The rate of multidrug resistance increased significantly over the study period (p=0.033). Predictors of MDRPA BSI were prior therapy with piperacillin/tazobactam (odds ratio [OR], 3.48; 95% confidence interval [CI], 2.29-5.30), prior antipseudomonal carbapenem use (OR, 2.53; 95% CI, 1.65-3.87), fluoroquinolone prophylaxis (OR, 2.99; 95% CI, 1.92-4.64), underlying hematological disease (OR, 2.09 95% CI, 1.26-3.44) and the presence of a urinary catheter (OR, 2.54; 95% CI, 1.65-3.91), whereas older age (OR, 0.98; 95% CI, 0.97-0.99) was found to be protective.Conclusions: Our prediction model achieves good discrimination and calibration, thereby identifying neutropenic patients at higher risk of BSI due to MDRPA. The application of this model using a web-based calculator may be a simple strategy to identify high-risk patients, who may benefit from the early administration of a broad-spectrum antibiotic coverage against MDR strains according to the local susceptibility patterns, thus avoiding the use of broad-spectrum antibiotics in patients at low risk of resistance.Copyright © 2020 American Society for Microbiology.

Áreas temáticas: Infectious Diseases Microbiology Pharmacology Pharmacology & Pharmacy Pharmacology (Medical)

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

Direcció de correo del autor: cristian.tebe@urv.cat

ISSN: 00664804

Identificador del autor: 0000-0003-2320-1385

Fecha de alta del registro: 2020-08-22

Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion

Enlace a la fuente original: https://aac.asm.org/content/64/4/e02494-19.abstract

Referencia al articulo segun fuente origial: ANTIMICROBIAL AGENTS AND CHEMOTHERAPY. (ISSN/ISBN: 00664804). 64(4):

Referencia de l'ítem segons les normes APA: Gudiol C, Albasanz-Puig A, Laporte-Amargós J, Pallarès N, Mussetti A, Ruiz-Camps I, Puerta-Alcalde P, Abdala E, Oltolini C, Akova M, Montejo M, Mikulska M, Martín-Dávila P, Herrera F, Gasch O, Drgona L, Paz Morales H, Brunel AS, García E, Isler B, Kern WV, Morales I, Maestro-de la Calle G, Montero M, Kanj SS, Sipahi OR, Calik S, Márquez-Gómez I, Marin JI, Gomes MZR, Hemmatti P, Araos R, Peghin M, Del Pozo JL, Yáñez L, Tilley R, Manzur A, Novo A, Carratalà J, IRONIC study group (2020). A clinical predictive model of multidrug resistance in neutropenic cancer patients with bloodstream infection due to Pseudomonas aeruginosa (IRONIC study). ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, (), -. DOI: 10.1128/aac.02494-19

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

DOI del artículo: 10.1128/aac.02494-19

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2020

Tipo de publicación: Journal Publications