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Tree-structured survival analysis of patients with Pseudomonas aeruginosa bacteremia: A multicenter observational cohort study

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Author(s)
Young Kyung YoonHyun Ah KimSeong Yeol RyuEun Jung LeeMi Suk LeeJieun KimSeong Yeon ParkKyung Sook YangShin Woo Kim
Keimyung Author(s)
Ryu, Seong YeolKim, Hyun Ah
Department
Dept. of Internal Medicine (내과학)
Journal Title
Diagnostic Microbiology and Infectious Disease
Issued Date
2017
Volume
87
Issue
2
Keyword
Pseudomonas aeruginosaBacteremiaMortality
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.
Keimyung Author(s)(Kor)
류성열
김현아
Publisher
School of Medicine
Citation
Young Kyung Yoon et al. (2017). Tree-structured survival analysis of patients with Pseudomonas aeruginosa bacteremia: A multicenter observational cohort study. Diagnostic Microbiology and Infectious Disease, 87(2), 180–187. doi: 10.1016/j.diagmicrobio.2016.10.008
Type
Article
ISSN
0732-8893
Source
https://linkinghub.elsevier.com/retrieve/pii/S0732889316303327
DOI
10.1016/j.diagmicrobio.2016.10.008
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/32746
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
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