Risk factors and prognosis of complicated urinary tract infections caused by Pseudomonas aeruginosa in hospitalized patients: a retrospective multicenter cohort study

Aina Gomila,1,2 J Carratalà,1–3 N Eliakim-Raz,4 E Shaw,1,2 I Wiegand,5 L Vallejo-Torres,6 A Gorostiza,2 JM Vigo,7 S Morris,6 M Stoddart,8 S Grier,8 C Vank,5 N Cuperus,9 L Van den Heuvel,9 C Vuong,5 A MacGowan,8 L Leibovici,4 I Addy,5 M Pujol1,2 On behalf of COMBACTE MAGNET WP5 RESCUING Study Group and Study Sites 1Department of Infectious Diseases, Hospital Universitari de Bellvitge, Institut Català de la Salut (ICS-HUB), Spanish Network for Research in Infectious Diseases (REIPI RD12/0015), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; 2Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain; 3Infectious Diseases Department, University of Barcelona, Barcelona, Spain; 4Department of Medicine E, Beilinson Hospital, Rabin Medical Center, Petah-Tiqva and Sackler Faculty of Medicine, Tel Aviv University, Israel; 5AiCuris Anti-infective Cures, Wuppertal, Germany; 6UCL Department of Applied Health Research, University College London, London, UK; 7Informatics Unit, Fundació Institut Català de Farmacologia, Barcelona, Spain; 8Department of Medical Microbiology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK; 9Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands Purpose: Complicated urinary tract infections (cUTIs) are among the most frequent health-care-associated infections. In patients with cUTI, Pseudomonas aeruginosa deserves special attention, since it can affect patients with serious underlying conditions. Our aim was to gain insight into the risk factors and prognosis of P. aeruginosa cUTIs in a scenario of increasing multidrug resistance (MDR). Methods: This was a multinational, retrospective, observational study at 20 hospitals in south and southeastern Europe, Turkey, and Israel including consecutive patients with cUTI hospitalized between January 2013 and December 2014. A mixed-effect logistic regression model was performed to assess risk factors for P. aeruginosa and MDR P. aeruginosa cUTI.Results: Of 1,007 ...