title: Tree-structured survival analysis of patients with Pseudomonas aeruginosa bacteremia: A multicenter observational cohort study.
abstract: This study aimed to construct a prediction algorithm, which is readily applicable in the clinical setting, to determine the mortality rate for patients with P. aeruginosa bacteremia. A multicenter observational cohort study was performed retrospectively in seven university-affiliated hospitals in Korea from March 2012 to February 2015. In total, 264 adult patients with monomicrobial P. aeruginosa bacteremia were included in the analyses. Among the predictors independently associated with 30-day mortality in the Cox regression model, Pitt bacteremia score >2 and high-risk source of bacteremia were identified as critical nodes in the tree-structured survival analysis. Particularly, the empirical combination therapy was not associated with any survival benefit in the Cox regression model compared to the empirical monotherapy. This study suggests that determining the infection source and evaluating the clinical severity are critical to predict the clinical outcome in patients with P. aeruginosa bacteremia.
authors.affiliation: Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital.
authors.forename: Young Kyung
authors.initials: YK
authors.lastname: Yoon
authors.affiliation: Division of Infectious Diseases, Department of Internal Medicine, Keimyung University Dongsan Hospital.
authors.forename: Hyun Ah
authors.initials: HA
authors.lastname: Kim
authors.affiliation: Division of Infectious Diseases, Department of Internal Medicine, Keimyung University Dongsan Hospital.
authors.forename: Seong Yeol
authors.initials: SY
authors.lastname: Ryu
authors.affiliation: Division of Infectious Diseases, Department of Internal Medicine, Soonchunhyang University Seoul Hospital.
authors.forename: Eun Jung
authors.initials: EJ
authors.lastname: Lee
authors.affiliation: Division of Infectious Diseases, Department of Internal Medicine, Kyung Hee University Medical Center.
authors.forename: Mi Suk
authors.initials: MS
authors.lastname: Lee
authors.affiliation: Division of Infectious Diseases, Department of Internal Medicine, Hanyang University Kuri Hospital.
authors.forename: Jieun
authors.initials: J
authors.lastname: Kim
authors.affiliation: Division of Infectious Diseases, Department of Internal Medicine, Dongguk University Ilsan Hospital.
authors.forename: Seong Yeon
authors.initials: SY
authors.lastname: Park
authors.affiliation: Division of Infectious Diseases, Department of Internal Medicine, Kyungpook National University Hospital.
authors.forename: Kyung Sook
authors.initials: KS
authors.lastname: Yang
authors.affiliation: Department of Biostatistics, Korea University College of Medicine, Republic of Korea. Electronic address: ksw2kms@knu.ac.kr.
authors.forename: Shin Woo
authors.initials: SW
authors.lastname: Kim
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016470:Bacteremia / Q000382:microbiology / Q000401:mortality* / Q000473:pathology; D005260:Female; D006785:Hospitals, University; D006801:Humans; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D011552:Pseudomonas Infections / Q000382:microbiology / Q000401:mortality* / Q000473:pathology; D011550:Pseudomonas aeruginosa / Q000302:isolation & purification*; D056910:Republic of Korea; D012189:Retrospective Studies; D016019:Survival Analysis; D055815:Young Adult
keywords: Bacteremia; Mortality; Pseudomonas aeruginosa