Clinical predictors of mortality in patients with pseudomonas aeruginosa infection

被引:13
作者
Frem, Jim Abi S. [1 ]
Doumat, George G. [1 ]
Kazma, Jamil M. [2 ]
Gharamti, Amal A. [1 ]
Kanj, Souha S. M. [1 ]
Abou Fayad, Antoine G. M. [3 ,4 ]
Matar, Ghassan M. M. [3 ,4 ]
Kanafani, Zeina A. M. [1 ]
机构
[1] Amer Univ Beirut, Dept Internal Med, Beirut, Lebanon
[2] George Washington Univ, Sch Med, Dept Obstet & Gynecol, Washington, DC USA
[3] Amer Univ Beirut, Dept Expt Pathol Immunol & Microbiol, Beirut, Lebanon
[4] Amer Univ Beirut, WHO Collaborating Ctr Reference & Res Bacterial Pa, Beirut, Lebanon
关键词
INTENSIVE-CARE-UNIT; ANTIMICROBIAL RESISTANCE; RISK-FACTORS; BACTEREMIA; IMPACT; THERAPY; PATTERN;
D O I
10.1371/journal.pone.0282276
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
BackgroundInfections caused by Pseudomonas aeruginosa are difficult to treat with a significant cost and burden. In Lebanon, P. aeruginosa is one of the most common organisms in ventilator-associated pneumonia (VAP). P. aeruginosa has developed widespread resistance to multiple antimicrobial agents such as fluoroquinolones and carbapenems. We aimed at identifying risk factors associated for P. aeruginosa infections as well as identifying independent risk factors for developing septic shock and in-hospital mortality. MethodsWe used a cross-sectional study design where we included patients with documented P. aeruginosa cultures who developed an infection after obtaining written consent. Two multivariable regression models were used to determine independent predictors of septic shock and mortality. ResultsDuring the observed period of 30 months 196 patients were recruited. The most common predisposing factor was antibiotic use for more than 48 hours within 30 days (55%). The prevalence of multi-drug resistant (MDR) P. aeruginosa was 10%. The strongest predictors of mortality were steroid use (aOR = 3.4), respiratory failure (aOR = 7.3), identified respiratory cultures (aOR = 6.0), malignancy (aOR = 9.8), septic shock (aOR = 18.6), and hemodialysis (aOR = 30.9). ConclusionUnderstanding resistance patterns and risk factors associated with mortality is crucial to personalize treatment based on risk level and to decrease the emerging threat of antimicrobial resistance.
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页数:11
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