Clinical Predictive Model of Multidrug Resistance in Neutropenic Cancer Patients with Bloodstream Infection Due to Pseudomonas aeruginosa
Journal
Antimicrobial Agents and Chemotherapy
ISSN
0066-4804
1098-6596
Date Issued
2020
Author(s)
C. Gudiol
A. Albasanz-Puig
J. Laporte-Amargós
N. Pallarès
A. Mussetti
I. Ruiz-Camps
P. Puerta-Alcalde
E. Abdala
C. Oltolini
M. Akova
M. Montejo
M. Mikulska
P. Martín-Dávila
F. Herrera
O. Gasch
L. Drgona
H. Paz Morales
A.-S. Brunel
E. García
B. Isler
W. V. Kern
I. Morales
G. Maestro-de la Calle
M. Montero
S. S. Kanj
O. R. Sipahi
S. Calik
I. Márquez-Gómez
J. I. Marin
M. Z. R. Gomes
P. Hemmatti
M. Peghin
J. L. del Pozo
L. Yáñez
R. Tilley
A. Manzur
A. Novo
J. Carratalà
Guillermo Cuervo
Francesc Escrihuela-Vidal
Fe Tubau
Cristian Tebé
Marisol Rodríguez Arias
Juan Aguilar-Company
Nieves Larrosa
Celia Cardozo
Carolina Garcia-Vidal
Ibrahim Karim-Yaqub
Raffaella Greco
Paola Cichero
Caglayan Merve Ayaz
Roberto Céspedes
Leire López-Soria
Laura Magnasco
Jesús Fortún
Diego Torres
Anna Boté
Mateu Espasa
Mia Hold Montaguti
Pierre-Yves Bochud
Oriol Manuel
Salvador Tabares Carrasco
Josefina Serrano López
Hartmut Bertz
Siegbert Rieg
Marina de Cueto
Jesús Rodríguez-Baño
Manuel Lizasoain
José María Aguado
Juan Pablo Horcajada
Saeed El Zein
Jean-Francois Jabbour
Ayse Uyan-Onal
Arzu Nazli-Zeka
Begoña Palop
Lina Clemencia Correa
Amanda Aparecida da Silva Machado
João Pedro Silva Tonhá
Georg Maschmeyer
Matteo Bassetti
Nadia Castaldo
Paloma Sangro del Alcázar
Type
Resource Types::text::journal::journal article
DOI
URL
Abstract
<jats:p> We aimed to assess the rate and predictive factors of bloodstream infection (BSI) due to multidrug-resistant (MDR) <jats:named-content content-type="genus-species">Pseudomonas aeruginosa</jats:named-content> in neutropenic cancer patients. We performed a multicenter, retrospective cohort study including oncohematological neutropenic patients with BSI due to <jats:named-content content-type="genus-species">P. aeruginosa</jats:named-content> 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 the multidrug resistance of the causative pathogens. </jats:p>